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Lin Y, Huo X, Xu J, Li Y, Zhu H, Yu Y, Tang L, Wang X. A soybean bZIP transcription factor is involved in submergence resistance. Biochem Biophys Res Commun 2024; 722:150151. [PMID: 38801801 DOI: 10.1016/j.bbrc.2024.150151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2024] [Revised: 05/17/2024] [Accepted: 05/20/2024] [Indexed: 05/29/2024]
Abstract
Although the functions of basic leucine zipper (bZIP) family transcription factors in the regulation of various abiotic stresses are beginning to be unveiled, the precise roles of bZIP proteins in plants coping with submergence stress remain unclear. Here we identified a bZIP gene GmbZIP71-4 from soybean, which localized in the nucleus. The GmbZIP71-4 over-expressed tabocco line showed reduced submergence resistance due to the decreased abscisic acid (ABA) content. GO and KEGG pathway analysis based on chromatin immunoprecipitation assay sequencing (ChIP-seq) indicated that the differences expressed genes between submergence treatment and control groups were specially enriched in plant hormone signal transduction items, especially those in response to ABA. Electrophoretic mobility shift assays (EMSA) demonstrated that GmbZIP71-4 bound to the promoter of GmABF2 gene, which is consistent with the ChIP-qPCR results. GmbZIP71-4 function as a negative regulator of soybean in responding to submergence stress through manipulating ABA signaling pathway. This findings will set a solid foundation for the understanding of submergence resistance in plants.
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Affiliation(s)
- Yanhui Lin
- Institute of Food Crops, Hainan Academy of Agricultural Sciences/Hainan Key Laboratory of Crop Genetics and Breeding/Hainan Scientific Research Station of Crop Gene Resource and Germplasm Enhancement, Ministry of Agriculture, Haikou, 571100, China.
| | - Xing Huo
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangdong Key Laboratory of New Technology in Rice Breeding, Guangdong Rice Engineering Laboratory, Guangzhou, 510640, China.
| | - Jing Xu
- Institute of Food Crops, Hainan Academy of Agricultural Sciences/Hainan Key Laboratory of Crop Genetics and Breeding/Hainan Scientific Research Station of Crop Gene Resource and Germplasm Enhancement, Ministry of Agriculture, Haikou, 571100, China.
| | - Yapeng Li
- Institute of Food Crops, Hainan Academy of Agricultural Sciences/Hainan Key Laboratory of Crop Genetics and Breeding/Hainan Scientific Research Station of Crop Gene Resource and Germplasm Enhancement, Ministry of Agriculture, Haikou, 571100, China; Sanya Research Institute of Hainan Academy of Agricultural Sciences, Sanya, 572000, China.
| | - Honglin Zhu
- Institute of Food Crops, Hainan Academy of Agricultural Sciences/Hainan Key Laboratory of Crop Genetics and Breeding/Hainan Scientific Research Station of Crop Gene Resource and Germplasm Enhancement, Ministry of Agriculture, Haikou, 571100, China.
| | - Yongmei Yu
- College of Agriculture, South China Agricultural University, Guangzhou, 510642, China.
| | - Liqiong Tang
- Institute of Food Crops, Hainan Academy of Agricultural Sciences/Hainan Key Laboratory of Crop Genetics and Breeding/Hainan Scientific Research Station of Crop Gene Resource and Germplasm Enhancement, Ministry of Agriculture, Haikou, 571100, China.
| | - Xiaoning Wang
- Institute of Food Crops, Hainan Academy of Agricultural Sciences/Hainan Key Laboratory of Crop Genetics and Breeding/Hainan Scientific Research Station of Crop Gene Resource and Germplasm Enhancement, Ministry of Agriculture, Haikou, 571100, China; Sanya Research Institute of Hainan Academy of Agricultural Sciences, Sanya, 572000, China.
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2
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Huang Y, Bergant V, Grass V, Emslander Q, Hamad MS, Hubel P, Mergner J, Piras A, Krey K, Henrici A, Öllinger R, Tesfamariam YM, Dalla Rosa I, Bunse T, Sutter G, Ebert G, Schmidt FI, Way M, Rad R, Bowie AG, Protzer U, Pichlmair A. Multi-omics characterization of the monkeypox virus infection. Nat Commun 2024; 15:6778. [PMID: 39117661 PMCID: PMC11310467 DOI: 10.1038/s41467-024-51074-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Accepted: 07/26/2024] [Indexed: 08/10/2024] Open
Abstract
Multiple omics analyzes of Vaccinia virus (VACV) infection have defined molecular characteristics of poxvirus biology. However, little is known about the monkeypox (mpox) virus (MPXV) in humans, which has a different disease manifestation despite its high sequence similarity to VACV. Here, we perform an in-depth multi-omics analysis of the transcriptome, proteome, and phosphoproteome signatures of MPXV-infected primary human fibroblasts to gain insights into the virus-host interplay. In addition to expected perturbations of immune-related pathways, we uncover regulation of the HIPPO and TGF-β pathways. We identify dynamic phosphorylation of both host and viral proteins, which suggests that MAPKs are key regulators of differential phosphorylation in MPXV-infected cells. Among the viral proteins, we find dynamic phosphorylation of H5 that influenced the binding of H5 to dsDNA. Our extensive dataset highlights signaling events and hotspots perturbed by MPXV, extending the current knowledge on poxviruses. We use integrated pathway analysis and drug-target prediction approaches to identify potential drug targets that affect virus growth. Functionally, we exemplify the utility of this approach by identifying inhibitors of MTOR, CHUK/IKBKB, and splicing factor kinases with potent antiviral efficacy against MPXV and VACV.
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Affiliation(s)
- Yiqi Huang
- Institute of Virology, Technical University of Munich, School of Medicine, Munich, Germany
| | - Valter Bergant
- Institute of Virology, Technical University of Munich, School of Medicine, Munich, Germany
| | - Vincent Grass
- Institute of Virology, Technical University of Munich, School of Medicine, Munich, Germany
| | - Quirin Emslander
- Institute of Virology, Technical University of Munich, School of Medicine, Munich, Germany
| | - M Sabri Hamad
- Institute of Virology, Technical University of Munich, School of Medicine, Munich, Germany
| | - Philipp Hubel
- Innate Immunity Laboratory, Max-Planck Institute of Biochemistry, Munich, Germany
- Core Facility Hohenheim, Universität Hohenheim, Stuttgart, Germany
| | - Julia Mergner
- Bavarian Center for Biomolecular Mass Spectrometry at University Hospital rechts der Isar (BayBioMS@MRI), Technical University of Munich, Munich, Germany
| | - Antonio Piras
- Institute of Virology, Technical University of Munich, School of Medicine, Munich, Germany
| | - Karsten Krey
- Institute of Virology, Technical University of Munich, School of Medicine, Munich, Germany
| | - Alexander Henrici
- Institute of Virology, Technical University of Munich, School of Medicine, Munich, Germany
| | - Rupert Öllinger
- Institute of Molecular Oncology and Functional Genomics and Department of Medicine II, School of Medicine, Technical University of Munich, Munich, Germany
| | - Yonas M Tesfamariam
- Institute of Innate Immunity, Medical Faculty, University of Bonn, Bonn, Germany
| | - Ilaria Dalla Rosa
- Cellular signalling and cytoskeletal function laboratory, The Francis Crick Institute, 1 Midland Road, London, NW1 1AT, UK
| | - Till Bunse
- Institute of Virology, Technical University of Munich, School of Medicine, Munich, Germany
| | - Gerd Sutter
- Institute for Infectious Diseases and Zoonoses, Department of Veterinary Sciences, LMU Munich, Munich, Germany
- German Centre for Infection Research (DZIF), Partner site Munich, Munich, Germany
| | - Gregor Ebert
- Institute of Virology, Technical University of Munich, School of Medicine/Helmholtz Munich, Munich, Germany
| | - Florian I Schmidt
- Institute of Innate Immunity, Medical Faculty, University of Bonn, Bonn, Germany
| | - Michael Way
- Cellular signalling and cytoskeletal function laboratory, The Francis Crick Institute, 1 Midland Road, London, NW1 1AT, UK
- Department of Infectious Disease, Imperial College, London, UK
| | - Roland Rad
- Institute of Molecular Oncology and Functional Genomics and Department of Medicine II, School of Medicine, Technical University of Munich, Munich, Germany
| | - Andrew G Bowie
- School of Biochemistry and Immunology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Ulrike Protzer
- German Centre for Infection Research (DZIF), Partner site Munich, Munich, Germany
- Institute of Virology, Technical University of Munich, School of Medicine/Helmholtz Munich, Munich, Germany
| | - Andreas Pichlmair
- Institute of Virology, Technical University of Munich, School of Medicine, Munich, Germany.
- German Centre for Infection Research (DZIF), Partner site Munich, Munich, Germany.
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3
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Zhu T, Xia C, Yu R, Zhou X, Xu X, Wang L, Zong Z, Yang J, Liu Y, Ming L, You Y, Chen D, Xie W. Comprehensive mapping and modelling of the rice regulome landscape unveils the regulatory architecture underlying complex traits. Nat Commun 2024; 15:6562. [PMID: 39095348 PMCID: PMC11297339 DOI: 10.1038/s41467-024-50787-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 07/19/2024] [Indexed: 08/04/2024] Open
Abstract
Unraveling the regulatory mechanisms that govern complex traits is pivotal for advancing crop improvement. Here we present a comprehensive regulome atlas for rice (Oryza sativa), charting the chromatin accessibility across 23 distinct tissues from three representative varieties. Our study uncovers 117,176 unique open chromatin regions (OCRs), accounting for ~15% of the rice genome, a notably higher proportion compared to previous reports in plants. Integrating RNA-seq data from matched tissues, we confidently predict 59,075 OCR-to-gene links, with enhancers constituting 69.54% of these associations, including many known enhancer-to-gene links. Leveraging this resource, we re-evaluate genome-wide association study results and discover a previously unknown function of OsbZIP06 in seed germination, which we subsequently confirm through experimental validation. We optimize deep learning models to decode regulatory grammar, achieving robust modeling of tissue-specific chromatin accessibility. This approach allows to predict cross-variety regulatory dynamics from genomic sequences, shedding light on the genetic underpinnings of cis-regulatory divergence and morphological disparities between varieties. Overall, our study establishes a foundational resource for rice functional genomics and precision molecular breeding, providing valuable insights into regulatory mechanisms governing complex traits.
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Affiliation(s)
- Tao Zhu
- State Key Laboratory of Pharmaceutical Biotechnology, Department of Gastroenterology, Nanjing Drum Tower Hospital, National Resource Center for Mutant Mice, School of Life Sciences, Nanjing University, Nanjing, 210023, China
- Chemistry and Biomedicine Innovation Center, Nanjing University, Nanjing, 210023, China
| | - Chunjiao Xia
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Ranran Yu
- State Key Laboratory of Pharmaceutical Biotechnology, Department of Gastroenterology, Nanjing Drum Tower Hospital, National Resource Center for Mutant Mice, School of Life Sciences, Nanjing University, Nanjing, 210023, China
| | - Xinkai Zhou
- State Key Laboratory of Pharmaceutical Biotechnology, Department of Gastroenterology, Nanjing Drum Tower Hospital, National Resource Center for Mutant Mice, School of Life Sciences, Nanjing University, Nanjing, 210023, China
| | - Xingbing Xu
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Lin Wang
- State Key Laboratory of Pharmaceutical Biotechnology, Department of Gastroenterology, Nanjing Drum Tower Hospital, National Resource Center for Mutant Mice, School of Life Sciences, Nanjing University, Nanjing, 210023, China
| | - Zhanxiang Zong
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Junjiao Yang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Yinmeng Liu
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Luchang Ming
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Yuxin You
- State Key Laboratory of Pharmaceutical Biotechnology, Department of Gastroenterology, Nanjing Drum Tower Hospital, National Resource Center for Mutant Mice, School of Life Sciences, Nanjing University, Nanjing, 210023, China
| | - Dijun Chen
- State Key Laboratory of Pharmaceutical Biotechnology, Department of Gastroenterology, Nanjing Drum Tower Hospital, National Resource Center for Mutant Mice, School of Life Sciences, Nanjing University, Nanjing, 210023, China.
- Chemistry and Biomedicine Innovation Center, Nanjing University, Nanjing, 210023, China.
| | - Weibo Xie
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China.
- Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University, Wuhan, 430070, China.
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China.
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4
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Fan L, Sun W, Lyu Y, Ju F, Sun W, Chen J, Ma H, Yang S, Zhou X, Wu N, Yi W, Chen E, Villaseñor R, Baubec T, Yan J. Chrom-seq identifies RNAs at chromatin marks. SCIENCE ADVANCES 2024; 10:eadn1397. [PMID: 39083617 PMCID: PMC11290522 DOI: 10.1126/sciadv.adn1397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Accepted: 06/25/2024] [Indexed: 08/02/2024]
Abstract
Chromatin marks are associated with transcriptional regulatory activities. However, very few lncRNAs have been characterized with the role in regulating epigenetic marks, largely due to the technical difficulty in identifying chromatin-associating RNA. Current methods are largely limited by the availability of ChIP-grade antibody and the crosslinking, which generates high noise. Here, we developed a method termed Chrom-seq to efficiently capture RNAs associated with various chromatin marks in living cells. Chrom-seq jointly applies highly specific chromatin mark reader with APEX2, which catalyzes the oxidation of biotin-aniline to label the adjacent RNAs for isolation by streptavidin-coated beads. Using the readers of mCBX7/dPC, mCBX1, and mTAF3, we detected RNA species significantly associated with H3K27me3, H3K9me3, and H3K4me3, respectively. We demonstrated that Chrom-seq outperformed other equivalent methods in terms of sensitivity, efficiency, and cost of practice. It provides an antibody-free approach to systematically map RNAs at chromatin marks with potential regulatory roles in epigenetic events.
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Affiliation(s)
- Ligang Fan
- Ministry of Education Key Laboratory of Resource Biology and Biotechnology in Western China; Shaanxi Provincial Key Laboratory of Biotechnology; School of Medicine, Northwest University, Xi’an, China
- Department of Biomedical Sciences, Jockey Club College of Veterinary Medicine and Life Sciences; The Tung Biomedical Sciences Centre, City University of Hong Kong, Hong Kong SAR, China
| | | | - Yitong Lyu
- Department of Biomedical Sciences, Jockey Club College of Veterinary Medicine and Life Sciences; The Tung Biomedical Sciences Centre, City University of Hong Kong, Hong Kong SAR, China
| | - Furong Ju
- Department of Biomedical Sciences, Jockey Club College of Veterinary Medicine and Life Sciences; The Tung Biomedical Sciences Centre, City University of Hong Kong, Hong Kong SAR, China
- Ming Wai Lau Centre for Reparative Medicine, Karolinska Institutet, Hong Kong SAR, China
| | - Wenju Sun
- Ministry of Education Key Laboratory of Resource Biology and Biotechnology in Western China; Shaanxi Provincial Key Laboratory of Biotechnology; School of Medicine, Northwest University, Xi’an, China
| | - Jie Chen
- Department of Biomedical Sciences, Jockey Club College of Veterinary Medicine and Life Sciences; The Tung Biomedical Sciences Centre, City University of Hong Kong, Hong Kong SAR, China
| | - Haiqian Ma
- Ministry of Education Key Laboratory of Resource Biology and Biotechnology in Western China; Shaanxi Provincial Key Laboratory of Biotechnology; School of Medicine, Northwest University, Xi’an, China
| | - Shifei Yang
- Ministry of Education Key Laboratory of Resource Biology and Biotechnology in Western China; Shaanxi Provincial Key Laboratory of Biotechnology; School of Medicine, Northwest University, Xi’an, China
| | - Xiaomin Zhou
- Department of Biomedical Sciences, Jockey Club College of Veterinary Medicine and Life Sciences; The Tung Biomedical Sciences Centre, City University of Hong Kong, Hong Kong SAR, China
| | - Nan Wu
- Ministry of Education Key Laboratory of Resource Biology and Biotechnology in Western China; Shaanxi Provincial Key Laboratory of Biotechnology; School of Medicine, Northwest University, Xi’an, China
- Department of Biomedical Sciences, Jockey Club College of Veterinary Medicine and Life Sciences; The Tung Biomedical Sciences Centre, City University of Hong Kong, Hong Kong SAR, China
| | - Wenkai Yi
- Department of Biomedical Sciences, Jockey Club College of Veterinary Medicine and Life Sciences; The Tung Biomedical Sciences Centre, City University of Hong Kong, Hong Kong SAR, China
| | - Erfei Chen
- Ministry of Education Key Laboratory of Resource Biology and Biotechnology in Western China; Shaanxi Provincial Key Laboratory of Biotechnology; School of Medicine, Northwest University, Xi’an, China
| | - Rodrigo Villaseñor
- Division of Molecular Biology, Biomedical Center (BMC), Faculty of Medicine, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Tuncay Baubec
- Institute of Biodynamics and Biocomplexity, Department of Biology, Science Faculty, Utrecht University, Utrecht, the Netherlands
| | - Jian Yan
- Ministry of Education Key Laboratory of Resource Biology and Biotechnology in Western China; Shaanxi Provincial Key Laboratory of Biotechnology; School of Medicine, Northwest University, Xi’an, China
- Department of Biomedical Sciences, Jockey Club College of Veterinary Medicine and Life Sciences; The Tung Biomedical Sciences Centre, City University of Hong Kong, Hong Kong SAR, China
- Department of Precision Diagnostic and Therapeutic Technology, The City University of Hong Kong Shenzhen Futian Research Institute, Shenzhen, China
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5
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Gu S, Huang Q, Sun C, Wen C, Yang N. Transcriptomic and epigenomic insights into pectoral muscle fiber formation at the late embryonic development in pure chicken lines. Poult Sci 2024; 103:103882. [PMID: 38833745 PMCID: PMC11190745 DOI: 10.1016/j.psj.2024.103882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Revised: 05/16/2024] [Accepted: 05/17/2024] [Indexed: 06/06/2024] Open
Abstract
Long-term intensive genetic selection has led to significant differences between broiler and layer chickens, which are evident during the embryonic period. Despite this, there is a paucity of research on the genetic regulation of the initial formation of muscle fiber morphology in chick embryos. Embryonic d 17 (E17) is the key time point for myoblast fusion completion and muscle fiber morphology formation in chickens. This study aimed to explore the genetic regulatory mechanisms underlying the early muscle fiber morphology establishment in broiler chickens of Cornish (CC) and White Plymouth Rock (RR) and layer chickens of White Leghorn (WW) at E17 using the transcriptomic and chromatin accessibility sequencing of pectoral major muscles. The results showed that broiler chickens exhibited significant higher embryo weight and pectoral major muscle weight at E17 compared to layer chickens (P = 0.000). A total of 1,278, 1,248, and 892 differentially expressed genes (DEGs) of RNA-seq data were identified between CC vs. WW, RR vs. WW, and CC vs. RR, separately. All DEGs were combined for cluster analysis and they were divided into 6 clusters, including cluster 1 with higher expression in broilers and cluster 6 with higher expression in layers. DEGs in cluster 1 were enriched in terms related to macrophage activation (P = 0.002) and defense response to bacteria (P = 0.002), while DEGs in cluster 6 showed enrichment in protein-DNA complex (P = 0.003) and monooxygenase activity (P = 0.000). ATAC-seq data analysis identified a total of 38,603 peaks, with 13,051 peaks for CC, 18,780 peaks for RR, and 6,772 peaks for WW. Integrative analysis of transcriptomic and chromatin accessibility data revealed GOLM1, ISLR2, and TOPAZ1 were commonly upregulated genes in CC and RR. Furthermore, screening of all upregulated DEGs in cluster 1 from CC and RR identified GOLM1, ISLR2, and HNMT genes associated with neuroimmune functions and MYOM3 linked to muscle morphology development, showing significantly elevated expression in broiler chickens compared to layer chickens. These findings suggest active neural system connectivity during the initial formation of muscle fiber morphology in embryonic period, highlighting the early interaction between muscle fiber formation morphology and the nervous system. This study provides novel insights into late chick embryo development and lays a deeper foundation for further research.
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Affiliation(s)
- Shuang Gu
- State Key Laboratory of Animal Biotech Breeding and Frontier Science Center for Molecular Design Breeding, China Agricultural University, Beijing, 100193, China; National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Department of Animal Genetics and Breeding, College of Animal Science and Technology China Agricultural University, Beijing 100193, China
| | - Qiang Huang
- State Key Laboratory of Animal Biotech Breeding and Frontier Science Center for Molecular Design Breeding, China Agricultural University, Beijing, 100193, China; National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Department of Animal Genetics and Breeding, College of Animal Science and Technology China Agricultural University, Beijing 100193, China
| | - Congjiao Sun
- State Key Laboratory of Animal Biotech Breeding and Frontier Science Center for Molecular Design Breeding, China Agricultural University, Beijing, 100193, China; National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Department of Animal Genetics and Breeding, College of Animal Science and Technology China Agricultural University, Beijing 100193, China; Sanya Institute of China Agricultural University, Hainan 572025, China
| | - Chaoliang Wen
- State Key Laboratory of Animal Biotech Breeding and Frontier Science Center for Molecular Design Breeding, China Agricultural University, Beijing, 100193, China; National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Department of Animal Genetics and Breeding, College of Animal Science and Technology China Agricultural University, Beijing 100193, China; Sanya Institute of China Agricultural University, Hainan 572025, China
| | - Ning Yang
- State Key Laboratory of Animal Biotech Breeding and Frontier Science Center for Molecular Design Breeding, China Agricultural University, Beijing, 100193, China; National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Department of Animal Genetics and Breeding, College of Animal Science and Technology China Agricultural University, Beijing 100193, China; Sanya Institute of China Agricultural University, Hainan 572025, China.
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6
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Pushkarev O, van Mierlo G, Kribelbauer JF, Saelens W, Gardeux V, Deplancke B. Non-coding variants impact cis-regulatory coordination in a cell type-specific manner. Genome Biol 2024; 25:190. [PMID: 39026229 PMCID: PMC11256678 DOI: 10.1186/s13059-024-03333-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 07/09/2024] [Indexed: 07/20/2024] Open
Abstract
BACKGROUND Interactions among cis-regulatory elements (CREs) play a crucial role in gene regulation. Various approaches have been developed to map these interactions genome-wide, including those relying on interindividual epigenomic variation to identify groups of covariable regulatory elements, referred to as chromatin modules (CMs). While CM mapping allows to investigate the relationship between chromatin modularity and gene expression, the computational principles used for CM identification vary in their application and outcomes. RESULTS We comprehensively evaluate and streamline existing CM mapping tools and present guidelines for optimal utilization of epigenome data from a diverse population of individuals to assess regulatory coordination across the human genome. We showcase the effectiveness of our recommended practices by analyzing distinct cell types and demonstrate cell type specificity of CRE interactions in CMs and their relevance for gene expression. Integration of genotype information revealed that many non-coding disease-associated variants affect the activity of CMs in a cell type-specific manner by affecting the binding of cell type-specific transcription factors. We provide example cases that illustrate in detail how CMs can be used to deconstruct GWAS loci, assess variable expression of cell surface receptors in immune cells, and reveal how genetic variation can impact the expression of prognostic markers in chronic lymphocytic leukemia. CONCLUSIONS Our study presents an optimal strategy for CM mapping and reveals how CMs capture the coordination of CREs and its impact on gene expression. Non-coding genetic variants can disrupt this coordination, and we highlight how this may lead to disease predisposition in a cell type-specific manner.
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Affiliation(s)
- Olga Pushkarev
- Laboratory of Systems Biology and Genetics, Institute of Bioengineering, School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
- Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland
| | - Guido van Mierlo
- Laboratory of Systems Biology and Genetics, Institute of Bioengineering, School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
- Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland.
| | - Judith Franziska Kribelbauer
- Laboratory of Systems Biology and Genetics, Institute of Bioengineering, School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
- Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland
| | - Wouter Saelens
- Laboratory of Systems Biology and Genetics, Institute of Bioengineering, School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
- Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland
| | - Vincent Gardeux
- Laboratory of Systems Biology and Genetics, Institute of Bioengineering, School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
- Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland
| | - Bart Deplancke
- Laboratory of Systems Biology and Genetics, Institute of Bioengineering, School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
- Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland.
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7
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Moqri M, Cipriano A, Simpson DJ, Rasouli S, Murty T, de Jong TA, Nachun D, de Sena Brandine G, Ying K, Tarkhov A, Aberg KA, van den Oord E, Zhou W, Smith A, Mackall C, Gladyshev VN, Horvath S, Snyder MP, Sebastiano V. PRC2-AgeIndex as a universal biomarker of aging and rejuvenation. Nat Commun 2024; 15:5956. [PMID: 39009581 PMCID: PMC11250797 DOI: 10.1038/s41467-024-50098-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Accepted: 07/01/2024] [Indexed: 07/17/2024] Open
Abstract
DNA methylation (DNAm) is one of the most reliable biomarkers of aging across mammalian tissues. While the age-dependent global loss of DNAm has been well characterized, DNAm gain is less characterized. Studies have demonstrated that CpGs which gain methylation with age are enriched in Polycomb Repressive Complex 2 (PRC2) targets. However, whole-genome examination of all PRC2 targets as well as determination of the pan-tissue or tissue-specific nature of these associations is lacking. Here, we show that low-methylated regions (LMRs) which are highly bound by PRC2 in embryonic stem cells (PRC2 LMRs) gain methylation with age in all examined somatic mitotic cells. We estimated that this epigenetic change represents around 90% of the age-dependent DNAm gain genome-wide. Therefore, we propose the "PRC2-AgeIndex," defined as the average DNAm in PRC2 LMRs, as a universal biomarker of cellular aging in somatic cells which can distinguish the effect of different anti-aging interventions.
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Affiliation(s)
- Mahdi Moqri
- Department of Biomedical Data Science, School of Medicine, Stanford University, Stanford, CA, USA
- Department of Obstetrics & Gynecology, School of Medicine, Stanford University, Stanford, CA, USA
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Genetics, School of Medicine, Stanford University, Stanford, CA, USA
| | - Andrea Cipriano
- Department of Obstetrics & Gynecology, School of Medicine, Stanford University, Stanford, CA, USA
- Institute for Stem Cell Biology and Regenerative Medicine, School of Medicine, Stanford University, Stanford, CA, USA
| | - Daniel J Simpson
- Department of Obstetrics & Gynecology, School of Medicine, Stanford University, Stanford, CA, USA
- Institute for Stem Cell Biology and Regenerative Medicine, School of Medicine, Stanford University, Stanford, CA, USA
| | - Sajede Rasouli
- Department of Obstetrics & Gynecology, School of Medicine, Stanford University, Stanford, CA, USA
- Institute for Stem Cell Biology and Regenerative Medicine, School of Medicine, Stanford University, Stanford, CA, USA
| | - Tara Murty
- Center for Cancer Cell Therapy, Stanford Cancer Institute, School of Medicine, Stanford University, Stanford, CA, USA
| | - Tineke Anna de Jong
- Department of Obstetrics & Gynecology, School of Medicine, Stanford University, Stanford, CA, USA
- Institute for Stem Cell Biology and Regenerative Medicine, School of Medicine, Stanford University, Stanford, CA, USA
| | - Daniel Nachun
- Department of Pathology, School of Medicine, Stanford University, Stanford, CA, USA
| | | | - Kejun Ying
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Andrei Tarkhov
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Karolina A Aberg
- Center for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, VA, 23298, USA
| | - Edwin van den Oord
- Center for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, VA, 23298, USA
| | - Wanding Zhou
- Center for Computational and Genomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Andrew Smith
- Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA
| | - Crystal Mackall
- Center for Cancer Cell Therapy, Stanford Cancer Institute, School of Medicine, Stanford University, Stanford, CA, USA
- Department of Pediatrics, Division of Hematology and Oncology, School of Medicine, Stanford University, Stanford, CA, USA
- Department of Medicine, Division of Stem Cell Transplantation and Cell Therapy, School of Medicine, Stanford University, Stanford, CA, USA
| | - Vadim N Gladyshev
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Steve Horvath
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Altos Labs, San Diego, CA, USA
| | - Michael P Snyder
- Department of Genetics, School of Medicine, Stanford University, Stanford, CA, USA.
- Center for Genomics and Personalized Medicine, Stanford University, Stanford, CA, USA.
| | - Vittorio Sebastiano
- Department of Obstetrics & Gynecology, School of Medicine, Stanford University, Stanford, CA, USA.
- Institute for Stem Cell Biology and Regenerative Medicine, School of Medicine, Stanford University, Stanford, CA, USA.
- Stanford Maternal & Child Health Research Institute, Stanford University, Stanford, CA, USA.
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8
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VanBelzen J, Sakelaris B, Brickner DG, Marcou N, Riecke H, Mangan N, Brickner JH. Chromatin endogenous cleavage provides a global view of RNA polymerase II transcription kinetics. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.07.08.602535. [PMID: 39026809 PMCID: PMC11257477 DOI: 10.1101/2024.07.08.602535] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/20/2024]
Abstract
Chromatin immunoprecipitation (ChIP-seq) is the most common approach to observe global binding of proteins to DNA in vivo. The occupancy of transcription factors (TFs) from ChIP-seq agrees well with an alternative method, chromatin endogenous cleavage (ChEC-seq2). However, ChIP-seq and ChEC-seq2 reveal strikingly different patterns of enrichment of yeast RNA polymerase II. We hypothesized that this reflects distinct populations of RNAPII, some of which are captured by ChIP-seq and some of which are captured by ChEC-seq2. RNAPII association with enhancers and promoters - predicted from biochemical studies - is detected well by ChEC-seq2 but not by ChIP-seq. Enhancer/promoter bound RNAPII correlates with transcription levels and matches predicted occupancy based on published rates of enhancer recruitment, preinitiation assembly, initiation, elongation and termination. The occupancy from ChEC-seq2 allowed us to develop a stochastic model for global kinetics of RNAPII transcription which captured both the ChEC-seq2 data and changes upon chemical-genetic perturbations to transcription. Finally, RNAPII ChEC-seq2 and kinetic modeling suggests that a mutation in the Gcn4 transcription factor that blocks interaction with the NPC destabilizes promoter-associated RNAPII without altering its recruitment to the enhancer.
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Affiliation(s)
- Jake VanBelzen
- Department of Molecular Biosciences, Northwestern University
| | - Bennet Sakelaris
- Department of Engineering Sciences and Applied Mathematics, Northwestern University
| | | | - Nikita Marcou
- Department of Molecular Biosciences, Northwestern University
- Current address: Department of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, MD
| | - Hermann Riecke
- Department of Engineering Sciences and Applied Mathematics, Northwestern University
| | - Niall Mangan
- Department of Engineering Sciences and Applied Mathematics, Northwestern University
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9
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Mulet-Lazaro R, van Herk S, Nuetzel M, Sijs-Szabo A, Díaz N, Kelly K, Erpelinck-Verschueren C, Schwarzfischer-Pfeilschifter L, Stanewsky H, Ackermann U, Glatz D, Raithel J, Fischer A, Pohl S, Rijneveld A, Vaquerizas JM, Thiede C, Plass C, Wouters BJ, Delwel R, Rehli M, Gebhard C. Epigenetic alterations affecting hematopoietic regulatory networks as drivers of mixed myeloid/lymphoid leukemia. Nat Commun 2024; 15:5693. [PMID: 38972954 PMCID: PMC11228033 DOI: 10.1038/s41467-024-49811-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Accepted: 06/19/2024] [Indexed: 07/09/2024] Open
Abstract
Leukemias with ambiguous lineage comprise several loosely defined entities, often without a clear mechanistic basis. Here, we extensively profile the epigenome and transcriptome of a subgroup of such leukemias with CpG Island Methylator Phenotype. These leukemias exhibit comparable hybrid myeloid/lymphoid epigenetic landscapes, yet heterogeneous genetic alterations, suggesting they are defined by their shared epigenetic profile rather than common genetic lesions. Gene expression enrichment reveals similarity with early T-cell precursor acute lymphoblastic leukemia and a lymphoid progenitor cell of origin. In line with this, integration of differential DNA methylation and gene expression shows widespread silencing of myeloid transcription factors. Moreover, binding sites for hematopoietic transcription factors, including CEBPA, SPI1 and LEF1, are uniquely inaccessible in these leukemias. Hypermethylation also results in loss of CTCF binding, accompanied by changes in chromatin interactions involving key transcription factors. In conclusion, epigenetic dysregulation, and not genetic lesions, explains the mixed phenotype of this group of leukemias with ambiguous lineage. The data collected here constitute a useful and comprehensive epigenomic reference for subsequent studies of acute myeloid leukemias, T-cell acute lymphoblastic leukemias and mixed-phenotype leukemias.
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Affiliation(s)
- Roger Mulet-Lazaro
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Stanley van Herk
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Margit Nuetzel
- Department of Internal Medicine III, University Hospital Regensburg, Regensburg, Germany
| | - Aniko Sijs-Szabo
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Noelia Díaz
- Max Planck Institute for Molecular Biomedicine, Muenster, Germany
- Renewable Marine Resources Department, Institute of Marine Sciences (ICM-CSIC), Barcelona, Spain
| | - Katherine Kelly
- Division of Cancer Epigenomics, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Claudia Erpelinck-Verschueren
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | | | - Hanna Stanewsky
- Department of Internal Medicine III, University Hospital Regensburg, Regensburg, Germany
| | - Ute Ackermann
- Department of Internal Medicine III, University Hospital Regensburg, Regensburg, Germany
| | - Dagmar Glatz
- Department of Internal Medicine III, University Hospital Regensburg, Regensburg, Germany
| | - Johanna Raithel
- Department of Internal Medicine III, University Hospital Regensburg, Regensburg, Germany
| | - Alexander Fischer
- Department of Internal Medicine III, University Hospital Regensburg, Regensburg, Germany
| | - Sandra Pohl
- Department of Internal Medicine III, University Hospital Regensburg, Regensburg, Germany
- Department of Conservative Dentistry and Periodontology, University Hospital Regensburg, Regensburg, Germany
| | - Anita Rijneveld
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Juan M Vaquerizas
- Max Planck Institute for Molecular Biomedicine, Muenster, Germany
- MRC London Institute of Medical Sciences, London, United Kingdom
- Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, Hammersmith Hospital 8 Campus, London, United Kingdom
| | - Christian Thiede
- Medizinische Klinik und Poliklinik I, Universitätsklinikum Carl Gustav Carus, Dresden, Germany
| | - Christoph Plass
- Division of Cancer Epigenomics, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Bas J Wouters
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands.
- Oncode Institute, Utrecht, the Netherlands.
| | - Ruud Delwel
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands.
- Oncode Institute, Utrecht, the Netherlands.
| | - Michael Rehli
- Department of Internal Medicine III, University Hospital Regensburg, Regensburg, Germany.
- Leibniz Institute for Immunotherapy (LIT), Regensburg, Germany.
| | - Claudia Gebhard
- Department of Internal Medicine III, University Hospital Regensburg, Regensburg, Germany.
- Leibniz Institute for Immunotherapy (LIT), Regensburg, Germany.
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10
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Gu S, Huang Q, Jie Y, Sun C, Wen C, Yang N. Transcriptomic and epigenomic landscapes of muscle growth during the postnatal period of broilers. J Anim Sci Biotechnol 2024; 15:91. [PMID: 38961455 PMCID: PMC11223452 DOI: 10.1186/s40104-024-01049-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2024] [Accepted: 05/12/2024] [Indexed: 07/05/2024] Open
Abstract
BACKGROUND Broilers stand out as one of the fastest-growing livestock globally, making a substantial contribution to animal meat production. However, the molecular and epigenetic mechanisms underlying the rapid growth and development of broiler chickens are still unclear. This study aims to explore muscle development patterns and regulatory networks during the postnatal rapid growth phase of fast-growing broilers. We measured the growth performance of Cornish (CC) and White Plymouth Rock (RR) over a 42-d period. Pectoral muscle samples from both CC and RR were randomly collected at day 21 after hatching (D21) and D42 for RNA-seq and ATAC-seq library construction. RESULTS The consistent increase in body weight and pectoral muscle weight across both breeds was observed as they matured, with CC outpacing RR in terms of weight at each stage of development. Differential expression analysis identified 398 and 1,129 genes in the two dimensions of breeds and ages, respectively. A total of 75,149 ATAC-seq peaks were annotated in promoter, exon, intron and intergenic regions, with a higher number of peaks in the promoter and intronic regions. The age-biased genes and breed-biased genes of RNA-seq were combined with the ATAC-seq data for subsequent analysis. The results spotlighted the upregulation of ACTC1 and FDPS at D21, which were primarily associated with muscle structure development by gene cluster enrichment. Additionally, a noteworthy upregulation of MUSTN1, FOS and TGFB3 was spotted in broiler chickens at D42, which were involved in cell differentiation and muscle regeneration after injury, suggesting a regulatory role of muscle growth and repair. CONCLUSIONS This work provided a regulatory network of postnatal broiler chickens and revealed ACTC1 and MUSTN1 as the key responsible for muscle development and regeneration. Our findings highlight that rapid growth in broiler chickens triggers ongoing muscle damage and subsequent regeneration. These findings provide a foundation for future research to investigate the functional aspects of muscle development.
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Affiliation(s)
- Shuang Gu
- State Key Laboratory of Animal Biotech Breeding and Frontier Science Center for Molecular Design Breeding, China Agricultural University, Beijing, 100193, China
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Department of Animal Genetics and Breeding, College of Animal Science and Technology China Agricultural University, Beijing, 100193, China
| | - Qiang Huang
- State Key Laboratory of Animal Biotech Breeding and Frontier Science Center for Molecular Design Breeding, China Agricultural University, Beijing, 100193, China
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Department of Animal Genetics and Breeding, College of Animal Science and Technology China Agricultural University, Beijing, 100193, China
| | - Yuchen Jie
- State Key Laboratory of Animal Biotech Breeding and Frontier Science Center for Molecular Design Breeding, China Agricultural University, Beijing, 100193, China
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Department of Animal Genetics and Breeding, College of Animal Science and Technology China Agricultural University, Beijing, 100193, China
| | - Congjiao Sun
- State Key Laboratory of Animal Biotech Breeding and Frontier Science Center for Molecular Design Breeding, China Agricultural University, Beijing, 100193, China
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Department of Animal Genetics and Breeding, College of Animal Science and Technology China Agricultural University, Beijing, 100193, China
- Sanya Institute of China Agricultural University, Hainan, 572025, China
| | - Chaoliang Wen
- State Key Laboratory of Animal Biotech Breeding and Frontier Science Center for Molecular Design Breeding, China Agricultural University, Beijing, 100193, China
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Department of Animal Genetics and Breeding, College of Animal Science and Technology China Agricultural University, Beijing, 100193, China
- Sanya Institute of China Agricultural University, Hainan, 572025, China
| | - Ning Yang
- State Key Laboratory of Animal Biotech Breeding and Frontier Science Center for Molecular Design Breeding, China Agricultural University, Beijing, 100193, China.
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Department of Animal Genetics and Breeding, College of Animal Science and Technology China Agricultural University, Beijing, 100193, China.
- Sanya Institute of China Agricultural University, Hainan, 572025, China.
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11
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Kalim UU, Biradar R, Junttila S, Khan MM, Tripathi S, Khan MH, Smolander J, Kanduri K, Envall T, Laiho A, Marson A, Rasool O, Elo LL, Lahesmaa R. A proximal enhancer regulates RORA expression during early human Th17 cell differentiation. Clin Immunol 2024; 264:110261. [PMID: 38788884 DOI: 10.1016/j.clim.2024.110261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 04/19/2024] [Accepted: 05/21/2024] [Indexed: 05/26/2024]
Abstract
Gene regulatory elements, such as enhancers, greatly influence cell identity by tuning the transcriptional activity of specific cell types. Dynamics of enhancer landscape during early human Th17 cell differentiation remains incompletely understood. Leveraging ATAC-seq-based profiling of chromatin accessibility and comprehensive analysis of key histone marks, we identified a repertoire of enhancers that potentially exert control over the fate specification of Th17 cells. We found 23 SNPs associated with autoimmune diseases within Th17-enhancers that precisely overlapped with the binding sites of transcription factors actively engaged in T-cell functions. Among the Th17-specific enhancers, we identified an enhancer in the intron of RORA and demonstrated that this enhancer positively regulates RORA transcription. Moreover, CRISPR-Cas9-mediated deletion of a transcription factor binding site-rich region within the identified RORA enhancer confirmed its role in regulating RORA transcription. These findings provide insights into the potential mechanism by which the RORA enhancer orchestrates Th17 differentiation.
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Affiliation(s)
- Ubaid Ullah Kalim
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland; InFLAMES Research Flagship Center, University of Turku, Turku, Finland.
| | - Rahul Biradar
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland; InFLAMES Research Flagship Center, University of Turku, Turku, Finland
| | - Sini Junttila
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland; InFLAMES Research Flagship Center, University of Turku, Turku, Finland
| | - Mohd Moin Khan
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland
| | - Subhash Tripathi
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland
| | - Meraj Hasan Khan
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland
| | - Johannes Smolander
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland; InFLAMES Research Flagship Center, University of Turku, Turku, Finland
| | - Kartiek Kanduri
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland
| | - Tapio Envall
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland
| | - Asta Laiho
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland; InFLAMES Research Flagship Center, University of Turku, Turku, Finland
| | - Alexander Marson
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA 94158, USA; Department of Medicine, University of California San Francisco, San Francisco, CA 94143, USA
| | - Omid Rasool
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland; InFLAMES Research Flagship Center, University of Turku, Turku, Finland
| | - Laura L Elo
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland; InFLAMES Research Flagship Center, University of Turku, Turku, Finland; Institute of Biomedicine, University of Turku, Turku, Finland
| | - Riitta Lahesmaa
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland; InFLAMES Research Flagship Center, University of Turku, Turku, Finland; Institute of Biomedicine, University of Turku, Turku, Finland.
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12
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Loupe JM, Anderson AG, Rizzardi LF, Rodriguez-Nunez I, Moyers B, Trausch-Lowther K, Jain R, Bunney WE, Bunney BG, Cartagena P, Sequeira A, Watson SJ, Akil H, Cooper GM, Myers RM. Multiomic profiling of transcription factor binding and function in human brain. Nat Neurosci 2024; 27:1387-1399. [PMID: 38831039 DOI: 10.1038/s41593-024-01658-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 04/19/2024] [Indexed: 06/05/2024]
Abstract
Transcription factors (TFs) orchestrate gene expression programs crucial for brain function, but we lack detailed information about TF binding in human brain tissue. We generated a multiomic resource (ChIP-seq, ATAC-seq, RNA-seq, DNA methylation) on bulk tissues and sorted nuclei from several postmortem brain regions, including binding maps for more than 100 TFs. We demonstrate improved measurements of TF activity, including motif recognition and gene expression modeling, upon identification and removal of high TF occupancy regions. Further, predictive TF binding models demonstrate a bias for these high-occupancy sites. Neuronal TFs SATB2 and TBR1 bind unique regions depleted for such sites and promote neuronal gene expression. Binding sites for TFs, including TBR1 and PKNOX1, are enriched for risk variants associated with neuropsychiatric disorders, predominantly in neurons. This work, titled BrainTF, is a powerful resource for future studies seeking to understand the roles of specific TFs in regulating gene expression in the human brain.
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Affiliation(s)
- Jacob M Loupe
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | | | - Lindsay F Rizzardi
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
- Department of Biochemistry and Molecular Biology, The University of Alabama in Birmingham, Birmingham, AL, USA
| | | | - Belle Moyers
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | | | - Rashmi Jain
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - William E Bunney
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - Blynn G Bunney
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - Preston Cartagena
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - Adolfo Sequeira
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - Stanley J Watson
- The Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI, USA
| | - Huda Akil
- The Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI, USA
| | | | - Richard M Myers
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA.
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13
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Salignon J, Millan-Ariño L, Garcia MU, Riedel CG. Cactus: A user-friendly and reproducible ATAC-Seq and mRNA-Seq analysis pipeline for data preprocessing, differential analysis, and enrichment analysis. Genomics 2024; 116:110858. [PMID: 38735595 DOI: 10.1016/j.ygeno.2024.110858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Revised: 05/06/2024] [Accepted: 05/09/2024] [Indexed: 05/14/2024]
Abstract
The ever decreasing cost of Next-Generation Sequencing coupled with the emergence of efficient and reproducible analysis pipelines has rendered genomic methods more accessible. However, downstream analyses are basic or missing in most workflows, creating a significant barrier for non-bioinformaticians. To help close this gap, we developed Cactus, an end-to-end pipeline for analyzing ATAC-Seq and mRNA-Seq data, either separately or jointly. Its Nextflow-, container-, and virtual environment-based architecture ensures efficient and reproducible analyses. Cactus preprocesses raw reads, conducts differential analyses between conditions, and performs enrichment analyses in various databases, including DNA-binding motifs, ChIP-Seq binding sites, chromatin states, and ontologies. We demonstrate the utility of Cactus in a multi-modal and multi-species case study as well as by showcasing its unique capabilities as compared to other ATAC-Seq pipelines. In conclusion, Cactus can assist researchers in gaining comprehensive insights from chromatin accessibility and gene expression data in a quick, user-friendly, and reproducible manner.
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Affiliation(s)
- Jérôme Salignon
- Department of Bioscience and Nutrition, Karolinska Institute, Blickagången 16, Huddinge SE-141 83, Sweden.
| | - Lluís Millan-Ariño
- Department of Bioscience and Nutrition, Karolinska Institute, Blickagången 16, Huddinge SE-141 83, Sweden
| | - Maxime U Garcia
- National Genomics Infrastructure, Science for Life Laboratory, Tomtebodavägen 23A, Solna SE-171 65, Sweden; Department of Oncology-Pathology, Karolinska Institute, Visionsgatan 4, Solna SE-171 64, Sweden
| | - Christian G Riedel
- Department of Bioscience and Nutrition, Karolinska Institute, Blickagången 16, Huddinge SE-141 83, Sweden.
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14
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Garg B, Khan S, Babu DS, Mose E, Gulay K, Sharma S, Sood D, Wenzel AT, Martsinkovskiy A, Patel J, Jaquish D, Lambies G, D'Ippolito A, Austgen K, Johnston B, Orlando D, Jang GH, Gallinger S, Goodfellow E, Brodt P, Commisso C, Tamayo P, Mesirov JP, Tiriac H, Lowy AM. MICAL2 Is a Super Enhancer Associated Gene that Promotes Pancreatic Cancer Growth and Metastasis. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.26.600548. [PMID: 38979336 PMCID: PMC11230455 DOI: 10.1101/2024.06.26.600548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/10/2024]
Abstract
Pancreatic ductal adenocarcinoma (PDAC) remains one of the deadliest solid cancers and thus identifying more effective therapies is a major unmet need. In this study we characterized the super enhancer (SE) landscape of human PDAC to identify novel, potentially targetable, drivers of the disease. Our analysis revealed that MICAL2 is a super enhancer-associated gene in human PDAC. MICAL2 is a flavin monooxygenase that induces actin depolymerization and indirectly promotes SRF transcription by modulating the availability of serum response factor coactivators myocardin related transcription factors (MRTF-A and MRTF-B). We found that MICAL2 is overexpressed in PDAC and correlates with poor patient prognosis. Transcriptional analysis revealed that MICAL2 upregulates KRAS and EMT signaling pathways, contributing to tumor growth and metastasis. In loss and gain of function experiments in human and mouse PDAC cells, we observed that MICAL2 promotes both ERK1/2 and AKT activation. Consistent with its role in actin depolymerization and KRAS signaling, loss of MICAL2 expression also inhibited macropinocytosis. Through in vitro phenotypic analyses, we show that MICAL2, MRTF-A and MRTF-B influence PDAC cell proliferation, migration and promote cell cycle progression. Importantly, we demonstrate that MICAL2 is essential for in vivo tumor growth and metastasis. Interestingly, we find that MRTF-B, but not MRTF-A, phenocopies MICAL2-driven phenotypes in vivo . This study highlights the multiple ways in which MICAL2 impacts PDAC biology and suggests that its inhibition may impede PDAC progression. Our results provide a foundation for future investigations into the role of MICAL2 in PDAC and its potential as a target for therapeutic intervention.
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15
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Ye S, Huang Y, Ma T, Ma X, Li R, Shen J, Wen J. BnaABF3 and BnaMYB44 regulate the transcription of zeaxanthin epoxidase genes in carotenoid and abscisic acid biosynthesis. PLANT PHYSIOLOGY 2024; 195:2372-2388. [PMID: 38620011 DOI: 10.1093/plphys/kiae184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 02/25/2024] [Indexed: 04/17/2024]
Abstract
Zeaxanthin epoxidase (ZEP) is a key enzyme that catalyzes the conversion of zeaxanthin to violaxanthin in the carotenoid and abscisic acid (ABA) biosynthesis pathways. The rapeseed (Brassica napus) genome has 4 ZEP (BnaZEP) copies that are suspected to have undergone subfunctionalization, yet the 4 genes' underlying regulatory mechanisms remain unknown. Here, we genetically confirmed the functional divergence of the gene pairs BnaA09.ZEP/BnaC09.ZEP and BnaA07.ZEP/BnaC07.ZEP, which encode enzymes with tissue-specific roles in carotenoid and ABA biosynthesis in flowers and leaves, respectively. Molecular and transgenic experiments demonstrated that each BnaZEP pair is transcriptionally regulated via ABA-responsive element-binding factor 3 s (BnaABF3s) and BnaMYB44s as common and specific regulators, respectively. BnaABF3s directly bound to the promoters of all 4 BnaZEPs and activated their transcription, with overexpression of individual BnaABF3s inducing BnaZEP expression and ABA accumulation under drought stress. Conversely, loss of BnaABF3s function resulted in lower expression of several genes functioning in carotenoid and ABA metabolism and compromised drought tolerance. BnaMYB44s specifically targeted and repressed the expression of BnaA09.ZEP/BnaC09.ZEP but not BnaA07.ZEP/BnaC07.ZEP. Overexpression of BnaA07.MYB44 resulted in increased carotenoid content and an altered carotenoid profile in petals. Additionally, RNA-seq analysis indicated that BnaMYB44s functions as a repressor in phenylpropanoid and flavonoid biosynthesis. These findings provide clear evidence for the subfunctionalization of duplicated genes and contribute to our understanding of the complex regulatory network involved in carotenoid and ABA biosynthesis in B. napus.
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Affiliation(s)
- Shenhua Ye
- National Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, National Center of Rapeseed Improvement in Wuhan, Huazhong Agricultural University, Wuhan 430070, China
- The Key Laboratory for Quality Improvement of Agricultural Products of Zhejiang Province, College of Advanced Agricultural Sciences, Zhejiang A&F University, Hangzhou 311300, China
| | - Yingying Huang
- National Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, National Center of Rapeseed Improvement in Wuhan, Huazhong Agricultural University, Wuhan 430070, China
| | - Tiantian Ma
- National Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, National Center of Rapeseed Improvement in Wuhan, Huazhong Agricultural University, Wuhan 430070, China
| | - Xiaowei Ma
- National Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, National Center of Rapeseed Improvement in Wuhan, Huazhong Agricultural University, Wuhan 430070, China
| | - Rihui Li
- National Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, National Center of Rapeseed Improvement in Wuhan, Huazhong Agricultural University, Wuhan 430070, China
| | - Jinxiong Shen
- National Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, National Center of Rapeseed Improvement in Wuhan, Huazhong Agricultural University, Wuhan 430070, China
| | - Jing Wen
- National Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, National Center of Rapeseed Improvement in Wuhan, Huazhong Agricultural University, Wuhan 430070, China
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16
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Xin X, Li P, Zhao X, Yu Y, Wang W, Jin G, Wang J, Sun L, Zhang D, Zhang F, Yu S, Su T. Temperature-dependent jumonji demethylase modulates flowering time by targeting H3K36me2/3 in Brassica rapa. Nat Commun 2024; 15:5470. [PMID: 38937441 PMCID: PMC11211497 DOI: 10.1038/s41467-024-49721-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Accepted: 06/12/2024] [Indexed: 06/29/2024] Open
Abstract
Global warming has a severe impact on the flowering time and yield of crops. Histone modifications have been well-documented for their roles in enabling plant plasticity in ambient temperature. However, the factor modulating histone modifications and their involvement in habitat adaptation have remained elusive. In this study, through genome-wide pattern analysis and quantitative-trait-locus (QTL) mapping, we reveal that BrJMJ18 is a candidate gene for a QTL regulating thermotolerance in thermotolerant B. rapa subsp. chinensis var. parachinensis (or Caixin, abbreviated to Par). BrJMJ18 encodes an H3K36me2/3 Jumonji demethylase that remodels H3K36 methylation across the genome. We demonstrate that the BrJMJ18 allele from Par (BrJMJ18Par) influences flowering time and plant growth in a temperature-dependent manner via characterizing overexpression and CRISPR/Cas9 mutant plants. We further show that overexpression of BrJMJ18Par can modulate the expression of BrFLC3, one of the five BrFLC orthologs. Furthermore, ChIP-seq and transcriptome data reveal that BrJMJ18Par can regulate chlorophyll biosynthesis under high temperatures. We also demonstrate that three amino acid mutations may account for function differences in BrJMJ18 between subspecies. Based on these findings, we propose a working model in which an H3K36me2/3 demethylase, while not affecting agronomic traits under normal conditions, can enhance resilience under heat stress in Brassica rapa.
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Affiliation(s)
- Xiaoyun Xin
- State Key Laboratory of Vegetable Biobreeding, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing, China
- National Engineering Research Center for Vegetables, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasms Improvement, Beijing, China
- Key Laboratory of Biology and Genetics Improvement of Horticultural Crops (North China), Beijing, China
| | - Peirong Li
- State Key Laboratory of Vegetable Biobreeding, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing, China
- National Engineering Research Center for Vegetables, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasms Improvement, Beijing, China
- Key Laboratory of Biology and Genetics Improvement of Horticultural Crops (North China), Beijing, China
| | - Xiuyun Zhao
- State Key Laboratory of Vegetable Biobreeding, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing, China
- National Engineering Research Center for Vegetables, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasms Improvement, Beijing, China
- Key Laboratory of Biology and Genetics Improvement of Horticultural Crops (North China), Beijing, China
| | - Yangjun Yu
- State Key Laboratory of Vegetable Biobreeding, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing, China
- National Engineering Research Center for Vegetables, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasms Improvement, Beijing, China
- Key Laboratory of Biology and Genetics Improvement of Horticultural Crops (North China), Beijing, China
| | - Weihong Wang
- State Key Laboratory of Vegetable Biobreeding, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing, China
- National Engineering Research Center for Vegetables, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasms Improvement, Beijing, China
- Key Laboratory of Biology and Genetics Improvement of Horticultural Crops (North China), Beijing, China
| | - Guihua Jin
- State Key Laboratory of Vegetable Biobreeding, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing, China
- National Engineering Research Center for Vegetables, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing, China
| | - Jiao Wang
- State Key Laboratory of Vegetable Biobreeding, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing, China
- National Engineering Research Center for Vegetables, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing, China
| | - Liling Sun
- State Key Laboratory of Vegetable Biobreeding, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing, China
- National Engineering Research Center for Vegetables, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing, China
| | - Deshuang Zhang
- State Key Laboratory of Vegetable Biobreeding, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing, China
- National Engineering Research Center for Vegetables, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasms Improvement, Beijing, China
- Key Laboratory of Biology and Genetics Improvement of Horticultural Crops (North China), Beijing, China
| | - Fenglan Zhang
- State Key Laboratory of Vegetable Biobreeding, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing, China.
- National Engineering Research Center for Vegetables, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing, China.
- Beijing Key Laboratory of Vegetable Germplasms Improvement, Beijing, China.
- Key Laboratory of Biology and Genetics Improvement of Horticultural Crops (North China), Beijing, China.
| | - Shuancang Yu
- State Key Laboratory of Vegetable Biobreeding, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing, China.
- National Engineering Research Center for Vegetables, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing, China.
- Beijing Key Laboratory of Vegetable Germplasms Improvement, Beijing, China.
- Key Laboratory of Biology and Genetics Improvement of Horticultural Crops (North China), Beijing, China.
| | - Tongbing Su
- State Key Laboratory of Vegetable Biobreeding, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing, China.
- National Engineering Research Center for Vegetables, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing, China.
- Beijing Key Laboratory of Vegetable Germplasms Improvement, Beijing, China.
- Key Laboratory of Biology and Genetics Improvement of Horticultural Crops (North China), Beijing, China.
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17
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Henon C, Vibert J, Eychenne T, Gruel N, Colmet-Daage L, Ngo C, Garrido M, Dorvault N, Marques Da Costa ME, Marty V, Signolle N, Marchais A, Herbel N, Kawai-Kawachi A, Lenormand M, Astier C, Chabanon R, Verret B, Bahleda R, Le Cesne A, Mechta-Grigoriou F, Faron M, Honoré C, Delattre O, Waterfall JJ, Watson S, Postel-Vinay S. Single-cell multiomics profiling reveals heterogeneous transcriptional programs and microenvironment in DSRCTs. Cell Rep Med 2024; 5:101582. [PMID: 38781959 PMCID: PMC11228554 DOI: 10.1016/j.xcrm.2024.101582] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 02/28/2024] [Accepted: 04/29/2024] [Indexed: 05/25/2024]
Abstract
Desmoplastic small round cell tumor (DSRCT) is a rare, aggressive sarcoma driven by the EWSR1::WT1 chimeric transcription factor. Despite this unique oncogenic driver, DSRCT displays a polyphenotypic differentiation of unknown causality. Using single-cell multi-omics on 12 samples from five patients, we find that DSRCT tumor cells cluster into consistent subpopulations with partially overlapping lineage- and metabolism-related transcriptional programs. In vitro modeling shows that high EWSR1::WT1 DNA-binding activity associates with most lineage-related states, in contrast to glycolytic and profibrotic states. Single-cell chromatin accessibility analysis suggests that EWSR1::WT1 binding site variability may drive distinct lineage-related transcriptional programs, supporting some level of cell-intrinsic plasticity. Spatial transcriptomics reveals that glycolytic and profibrotic states specifically localize within hypoxic niches at the periphery of tumor cell islets, suggesting an additional role of tumor cell-extrinsic microenvironmental cues. We finally identify a single-cell transcriptomics-derived epithelial signature associated with improved patient survival, highlighting the clinical relevance of our findings.
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Affiliation(s)
- Clémence Henon
- ATIP-Avenir INSERM and ERC StG Group, Equipe labellisée ARC Recherche Fondamentale, INSERM U981, Gustave Roussy, Paris Saclay University, Villejuif, France; Department of Medical Oncology, Gustave Roussy, Villejuif, France; Drug Development Department, DITEP, Gustave Roussy, Villejuif, France
| | - Julien Vibert
- INSERM U830, Équipe labellisée LNCC, Diversity and Plasticity of Childhood Tumors Lab, PSL Research University, SIREDO Oncology Center, Institut Curie Research Center, Paris, France; INSERM U830, Integrative Functional Genomics of Cancer Lab, PSL Research University, Institut Curie Research Center, Paris, France; Department of Translational Research, PSL Research University, Institut Curie Research Center, Paris, France
| | - Thomas Eychenne
- ATIP-Avenir INSERM and ERC StG Group, Equipe labellisée ARC Recherche Fondamentale, INSERM U981, Gustave Roussy, Paris Saclay University, Villejuif, France
| | - Nadège Gruel
- INSERM U830, Équipe labellisée LNCC, Diversity and Plasticity of Childhood Tumors Lab, PSL Research University, SIREDO Oncology Center, Institut Curie Research Center, Paris, France; Department of Translational Research, PSL Research University, Institut Curie Research Center, Paris, France
| | - Léo Colmet-Daage
- ATIP-Avenir INSERM and ERC StG Group, Equipe labellisée ARC Recherche Fondamentale, INSERM U981, Gustave Roussy, Paris Saclay University, Villejuif, France
| | - Carine Ngo
- ATIP-Avenir INSERM and ERC StG Group, Equipe labellisée ARC Recherche Fondamentale, INSERM U981, Gustave Roussy, Paris Saclay University, Villejuif, France; Department of Pathology, Gustave Roussy, Villejuif, France
| | - Marlène Garrido
- ATIP-Avenir INSERM and ERC StG Group, Equipe labellisée ARC Recherche Fondamentale, INSERM U981, Gustave Roussy, Paris Saclay University, Villejuif, France
| | - Nicolas Dorvault
- ATIP-Avenir INSERM and ERC StG Group, Equipe labellisée ARC Recherche Fondamentale, INSERM U981, Gustave Roussy, Paris Saclay University, Villejuif, France
| | - Maria Eugenia Marques Da Costa
- INSERM U1015, Gustave Roussy, Paris Saclay University, Villejuif, France; Department of Pediatric and Adolescent Oncology, Gustave Roussy, Villejuif, France
| | - Virginie Marty
- Experimental and Translational Pathology Platform (PETRA), AMMICa, INSERM US23/UAR3655, Gustave Roussy, Villejuif, France
| | - Nicolas Signolle
- Experimental and Translational Pathology Platform (PETRA), AMMICa, INSERM US23/UAR3655, Gustave Roussy, Villejuif, France
| | - Antonin Marchais
- INSERM U1015, Gustave Roussy, Paris Saclay University, Villejuif, France; Department of Pediatric and Adolescent Oncology, Gustave Roussy, Villejuif, France
| | - Noé Herbel
- ATIP-Avenir INSERM and ERC StG Group, Equipe labellisée ARC Recherche Fondamentale, INSERM U981, Gustave Roussy, Paris Saclay University, Villejuif, France
| | - Asuka Kawai-Kawachi
- ATIP-Avenir INSERM and ERC StG Group, Equipe labellisée ARC Recherche Fondamentale, INSERM U981, Gustave Roussy, Paris Saclay University, Villejuif, France
| | - Madison Lenormand
- ATIP-Avenir INSERM and ERC StG Group, Equipe labellisée ARC Recherche Fondamentale, INSERM U981, Gustave Roussy, Paris Saclay University, Villejuif, France
| | - Clémence Astier
- ATIP-Avenir INSERM and ERC StG Group, Equipe labellisée ARC Recherche Fondamentale, INSERM U981, Gustave Roussy, Paris Saclay University, Villejuif, France
| | - Roman Chabanon
- ATIP-Avenir INSERM and ERC StG Group, Equipe labellisée ARC Recherche Fondamentale, INSERM U981, Gustave Roussy, Paris Saclay University, Villejuif, France
| | - Benjamin Verret
- Department of Medical Oncology, Gustave Roussy, Villejuif, France; Breast Cancer Translational Research Group, INSERM U981, Gustave Roussy, Villejuif, France
| | - Rastislav Bahleda
- Drug Development Department, DITEP, Gustave Roussy, Villejuif, France
| | - Axel Le Cesne
- Department of Medical Oncology, Gustave Roussy, Villejuif, France; International Department of Medical Oncology, Gustave Roussy, Villejuif, France
| | - Fatima Mechta-Grigoriou
- INSERM U830, Equipe labellisée LNCC, Stress et Cancer, PSL Research University, Institut Curie Research Center, Paris, France
| | | | | | - Olivier Delattre
- INSERM U830, Équipe labellisée LNCC, Diversity and Plasticity of Childhood Tumors Lab, PSL Research University, SIREDO Oncology Center, Institut Curie Research Center, Paris, France
| | - Joshua J Waterfall
- INSERM U830, Integrative Functional Genomics of Cancer Lab, PSL Research University, Institut Curie Research Center, Paris, France; Department of Translational Research, PSL Research University, Institut Curie Research Center, Paris, France
| | - Sarah Watson
- INSERM U830, Équipe labellisée LNCC, Diversity and Plasticity of Childhood Tumors Lab, PSL Research University, SIREDO Oncology Center, Institut Curie Research Center, Paris, France; Department of Translational Research, PSL Research University, Institut Curie Research Center, Paris, France
| | - Sophie Postel-Vinay
- ATIP-Avenir INSERM and ERC StG Group, Equipe labellisée ARC Recherche Fondamentale, INSERM U981, Gustave Roussy, Paris Saclay University, Villejuif, France; Drug Development Department, DITEP, Gustave Roussy, Villejuif, France; University College of London, Cancer Institute, London, UK.
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18
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Razavipour SF, Yoon H, Jang K, Kim M, Nawara HM, Bagheri A, Huang WC, Shin M, Zhao D, Zhou Z, Van Boven D, Briegel K, Morey L, Ince TA, Johnson M, Slingerland JM. C-terminally phosphorylated p27 activates self-renewal driver genes to program cancer stem cell expansion, mammary hyperplasia and cancer. Nat Commun 2024; 15:5152. [PMID: 38886396 PMCID: PMC11183067 DOI: 10.1038/s41467-024-48742-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 05/14/2024] [Indexed: 06/20/2024] Open
Abstract
In many cancers, a stem-like cell subpopulation mediates tumor initiation, dissemination and drug resistance. Here, we report that cancer stem cell (CSC) abundance is transcriptionally regulated by C-terminally phosphorylated p27 (p27pT157pT198). Mechanistically, this arises through p27 co-recruitment with STAT3/CBP to gene regulators of CSC self-renewal including MYC, the Notch ligand JAG1, and ANGPTL4. p27pTpT/STAT3 also recruits a SIN3A/HDAC1 complex to co-repress the Pyk2 inhibitor, PTPN12. Pyk2, in turn, activates STAT3, creating a feed-forward loop increasing stem-like properties in vitro and tumor-initiating stem cells in vivo. The p27-activated gene profile is over-represented in STAT3 activated human breast cancers. Furthermore, mammary transgenic expression of phosphomimetic, cyclin-CDK-binding defective p27 (p27CK-DD) increases mammary duct branching morphogenesis, yielding hyperplasia and microinvasive cancers that can metastasize to liver, further supporting a role for p27pTpT in CSC expansion. Thus, p27pTpT interacts with STAT3, driving transcriptional programs governing stem cell expansion or maintenance in normal and cancer tissues.
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Affiliation(s)
- Seyedeh Fatemeh Razavipour
- Cancer Host Interactions Program, Lombardi Comprehensive Cancer Center, Department of Oncology, Georgetown University, Washington DC, USA
- Braman Family Breast Cancer Institute, Sylvester Comprehensive Cancer Center, University of Miami, Miller School of Medicine, Miami, Fl, USA
| | - Hyunho Yoon
- Braman Family Breast Cancer Institute, Sylvester Comprehensive Cancer Center, University of Miami, Miller School of Medicine, Miami, Fl, USA
- Department of Medical and Biological Sciences, The Catholic University of Korea, Bucheon-si, South Korea
| | - Kibeom Jang
- Braman Family Breast Cancer Institute, Sylvester Comprehensive Cancer Center, University of Miami, Miller School of Medicine, Miami, Fl, USA
| | - Minsoon Kim
- Braman Family Breast Cancer Institute, Sylvester Comprehensive Cancer Center, University of Miami, Miller School of Medicine, Miami, Fl, USA
| | - Hend M Nawara
- Cancer Host Interactions Program, Lombardi Comprehensive Cancer Center, Department of Oncology, Georgetown University, Washington DC, USA
| | - Amir Bagheri
- Cancer Host Interactions Program, Lombardi Comprehensive Cancer Center, Department of Oncology, Georgetown University, Washington DC, USA
| | - Wei-Chi Huang
- Cancer Host Interactions Program, Lombardi Comprehensive Cancer Center, Department of Oncology, Georgetown University, Washington DC, USA
| | - Miyoung Shin
- Braman Family Breast Cancer Institute, Sylvester Comprehensive Cancer Center, University of Miami, Miller School of Medicine, Miami, Fl, USA
- Department of Pathology, Yale School of Medicine, New Haven, CT, USA
| | - Dekuang Zhao
- Braman Family Breast Cancer Institute, Sylvester Comprehensive Cancer Center, University of Miami, Miller School of Medicine, Miami, Fl, USA
| | - Zhiqun Zhou
- Braman Family Breast Cancer Institute, Sylvester Comprehensive Cancer Center, University of Miami, Miller School of Medicine, Miami, Fl, USA
| | - Derek Van Boven
- John P. Hussman Institute for Human Genomics, Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami, Miller School of Medicine, Miami, FL, USA
| | - Karoline Briegel
- Braman Family Breast Cancer Institute, Sylvester Comprehensive Cancer Center, University of Miami, Miller School of Medicine, Miami, Fl, USA
- Department of Surgery, University of Miami, Miller School of Medicine, Miami, Fl, USA
| | - Lluis Morey
- Braman Family Breast Cancer Institute, Sylvester Comprehensive Cancer Center, University of Miami, Miller School of Medicine, Miami, Fl, USA
- John P. Hussman Institute for Human Genomics, Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami, Miller School of Medicine, Miami, FL, USA
| | - Tan A Ince
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Michael Johnson
- Cancer Host Interactions Program, Lombardi Comprehensive Cancer Center, Department of Oncology, Georgetown University, Washington DC, USA
| | - Joyce M Slingerland
- Cancer Host Interactions Program, Lombardi Comprehensive Cancer Center, Department of Oncology, Georgetown University, Washington DC, USA.
- Braman Family Breast Cancer Institute, Sylvester Comprehensive Cancer Center, University of Miami, Miller School of Medicine, Miami, Fl, USA.
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19
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Ren Z, Zhang S, Shi L, Zhou A, Lin X, Zhang J, Zhu X, Huang L, Li K. Integrated ATAC-seq and RNA-seq Analysis of In Vitro Cultured Skeletal Muscle Satellite Cells to Understand Changes in Cell Proliferation. Cells 2024; 13:1031. [PMID: 38920660 PMCID: PMC11201436 DOI: 10.3390/cells13121031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2024] [Revised: 06/06/2024] [Accepted: 06/07/2024] [Indexed: 06/27/2024] Open
Abstract
Skeletal muscle satellite cells, the resident stem cells in pig skeletal muscle, undergo proliferation and differentiation to enable muscle tissue repair. The proliferative and differentiative abilities of these cells gradually decrease during in vitro cultivation as the cell passage number increases. Despite extensive research, the precise molecular mechanisms that regulate this process are not fully understood. To bridge this knowledge gap, we conducted transcriptomic analysis of skeletal muscle satellite cells during in vitro cultivation to quantify passage number-dependent changes in the expression of genes associated with proliferation. Additionally, we explored the relationships between gene transcriptional activity and chromatin accessibility using transposase-accessible chromatin sequencing. This revealed the closure of numerous open chromatin regions, which were primarily located in intergenic regions, as the cell passage number increased. Integrated analysis of the transcriptomic and epigenomic data demonstrated a weak correlation between gene transcriptional activity and chromatin openness in expressed genic regions; although some genes (e.g., GNB4 and FGD5) showed consistent relationships between gene expression and chromatin openness, a substantial number of differentially expressed genes had no clear association with chromatin openness in expressed genic regions. The p53-p21-RB signaling pathway may play a critical regulatory role in cell proliferation processes. The combined transcriptomic and epigenomic approach taken here provided key insights into changes in gene expression and chromatin openness during in vitro cultivation of skeletal muscle satellite cells. These findings enhance our understanding of the intricate mechanisms underlying the decline in cellular proliferation capacity in cultured cells.
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Affiliation(s)
- Zeyu Ren
- Hubei Key Laboratory of Animal Nutrition and Feed Science, Laboratory of Genetic Breeding, Reproduction and Precision Livestock Farming, Hubei Provincial Center of Technology Innovation for Domestic Animal Breeding, Wuhan Polytechnic University, Wuhan 430023, China; (Z.R.); (S.Z.); (L.S.); (A.Z.)
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China;
| | - Siyi Zhang
- Hubei Key Laboratory of Animal Nutrition and Feed Science, Laboratory of Genetic Breeding, Reproduction and Precision Livestock Farming, Hubei Provincial Center of Technology Innovation for Domestic Animal Breeding, Wuhan Polytechnic University, Wuhan 430023, China; (Z.R.); (S.Z.); (L.S.); (A.Z.)
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China;
| | - Liangyu Shi
- Hubei Key Laboratory of Animal Nutrition and Feed Science, Laboratory of Genetic Breeding, Reproduction and Precision Livestock Farming, Hubei Provincial Center of Technology Innovation for Domestic Animal Breeding, Wuhan Polytechnic University, Wuhan 430023, China; (Z.R.); (S.Z.); (L.S.); (A.Z.)
| | - Ao Zhou
- Hubei Key Laboratory of Animal Nutrition and Feed Science, Laboratory of Genetic Breeding, Reproduction and Precision Livestock Farming, Hubei Provincial Center of Technology Innovation for Domestic Animal Breeding, Wuhan Polytechnic University, Wuhan 430023, China; (Z.R.); (S.Z.); (L.S.); (A.Z.)
| | - Xin Lin
- College of Animal Science and Veterinary Medicine, Tianjin Agricultural University, Tianjin 300392, China;
| | - Jing Zhang
- Hubei Key Laboratory of Animal Nutrition and Feed Science, Laboratory of Genetic Breeding, Reproduction and Precision Livestock Farming, Hubei Provincial Center of Technology Innovation for Domestic Animal Breeding, Wuhan Polytechnic University, Wuhan 430023, China; (Z.R.); (S.Z.); (L.S.); (A.Z.)
| | - Xiusheng Zhu
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China;
| | - Lei Huang
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China;
| | - Kui Li
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China;
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20
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Marinov GK, Ramalingam V, Greenleaf WJ, Kundaje A. An updated compendium and reevaluation of the evidence for nuclear transcription factor occupancy over the mitochondrial genome. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.04.597442. [PMID: 38895386 PMCID: PMC11185660 DOI: 10.1101/2024.06.04.597442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/21/2024]
Abstract
In most eukaryotes, mitochondrial organelles contain their own genome, usually circular, which is the remnant of the genome of the ancestral bacterial endosymbiont that gave rise to modern mitochondria. Mitochondrial genomes are dramatically reduced in their gene content due to the process of endosymbiotic gene transfer to the nucleus; as a result most mitochondrial proteins are encoded in the nucleus and imported into mitochondria. This includes the components of the dedicated mitochondrial transcription and replication systems and regulatory factors, which are entirely distinct from the information processing systems in the nucleus. However, since the 1990s several nuclear transcription factors have been reported to act in mitochondria, and previously we identified 8 human and 3 mouse transcription factors (TFs) with strong localized enrichment over the mitochondrial genome using ChIP-seq (Chromatin Immunoprecipitation) datasets from the second phase of the ENCODE (Encyclopedia of DNA Elements) Project Consortium. Here, we analyze the greatly expanded in the intervening decade ENCODE compendium of TF ChIP-seq datasets (a total of 6,153 ChIP experiments for 942 proteins, of which 763 are sequence-specific TFs) combined with interpretative deep learning models of TF occupancy to create a comprehensive compendium of nuclear TFs that show evidence of association with the mitochondrial genome. We find some evidence for chrM occupancy for 50 nuclear TFs and two other proteins, with bZIP TFs emerging as most likely to be playing a role in mitochondria. However, we also observe that in cases where the same TF has been assayed with multiple antibodies and ChIP protocols, evidence for its chrM occupancy is not always reproducible. In the light of these findings, we discuss the evidential criteria for establishing chrM occupancy and reevaluate the overall compendium of putative mitochondrial-acting nuclear TFs.
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Affiliation(s)
- Georgi K Marinov
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | | | - William J Greenleaf
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, California 94305, USA
- Department of Applied Physics, Stanford University, Stanford, California 94305, USA
- Chan Zuckerberg Biohub, San Francisco, California, USA
| | - Anshul Kundaje
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
- Department of Computer Science, Stanford University, Stanford, CA 94305, USA
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Dareng EO, Coetzee SG, Tyrer JP, Peng PC, Rosenow W, Chen S, Davis BD, Dezem FS, Seo JH, Nameki R, Reyes AL, Aben KKH, Anton-Culver H, Antonenkova NN, Aravantinos G, Bandera EV, Beane Freeman LE, Beckmann MW, Beeghly-Fadiel A, Benitez J, Bernardini MQ, Bjorge L, Black A, Bogdanova NV, Bolton KL, Brenton JD, Budzilowska A, Butzow R, Cai H, Campbell I, Cannioto R, Chang-Claude J, Chanock SJ, Chen K, Chenevix-Trench G, Chiew YE, Cook LS, DeFazio A, Dennis J, Doherty JA, Dörk T, du Bois A, Dürst M, Eccles DM, Ene G, Fasching PA, Flanagan JM, Fortner RT, Fostira F, Gentry-Maharaj A, Giles GG, Goodman MT, Gronwald J, Haiman CA, Håkansson N, Heitz F, Hildebrandt MAT, Høgdall E, Høgdall CK, Huang RY, Jensen A, Jones ME, Kang D, Karlan BY, Karnezis AN, Kelemen LE, Kennedy CJ, Khusnutdinova EK, Kiemeney LA, Kjaer SK, Kupryjanczyk J, Labrie M, Lambrechts D, Larson MC, Le ND, Lester J, Li L, Lubiński J, Lush M, Marks JR, Matsuo K, May T, McLaughlin JR, McNeish IA, Menon U, Missmer S, Modugno F, Moffitt M, Monteiro AN, Moysich KB, Narod SA, Nguyen-Dumont T, Odunsi K, Olsson H, Onland-Moret NC, Park SK, Pejovic T, Permuth JB, Piskorz A, Prokofyeva D, Riggan MJ, Risch HA, Rodríguez-Antona C, Rossing MA, Sandler DP, Setiawan VW, Shan K, Song H, Southey MC, Steed H, Sutphen R, Swerdlow AJ, Teo SH, Terry KL, Thompson PJ, Vestrheim Thomsen LC, Titus L, Trabert B, Travis R, Tworoger SS, Valen E, Van Nieuwenhuysen E, Edwards DV, Vierkant RA, Webb PM, Weinberg CR, Weise RM, Wentzensen N, White E, Winham SJ, Wolk A, Woo YL, Wu AH, Yan L, Yannoukakos D, Zeinomar N, Zheng W, Ziogas A, Berchuck A, Goode EL, Huntsman DG, Pearce CL, Ramus SJ, Sellers TA, Freedman ML, Lawrenson K, Schildkraut JM, Hazelett D, Plummer JT, Kar S, Jones MR, Pharoah PDP, Gayther SA. Integrative multi-omics analyses to identify the genetic and functional mechanisms underlying ovarian cancer risk regions. Am J Hum Genet 2024; 111:1061-1083. [PMID: 38723632 PMCID: PMC11179261 DOI: 10.1016/j.ajhg.2024.04.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 04/16/2024] [Accepted: 04/16/2024] [Indexed: 06/07/2024] Open
Abstract
To identify credible causal risk variants (CCVs) associated with different histotypes of epithelial ovarian cancer (EOC), we performed genome-wide association analysis for 470,825 genotyped and 10,163,797 imputed SNPs in 25,981 EOC cases and 105,724 controls of European origin. We identified five histotype-specific EOC risk regions (p value <5 × 10-8) and confirmed previously reported associations for 27 risk regions. Conditional analyses identified an additional 11 signals independent of the primary signal at six risk regions (p value <10-5). Fine mapping identified 4,008 CCVs in these regions, of which 1,452 CCVs were located in ovarian cancer-related chromatin marks with significant enrichment in active enhancers, active promoters, and active regions for CCVs from each EOC histotype. Transcriptome-wide association and colocalization analyses across histotypes using tissue-specific and cross-tissue datasets identified 86 candidate susceptibility genes in known EOC risk regions and 32 genes in 23 additional genomic regions that may represent novel EOC risk loci (false discovery rate <0.05). Finally, by integrating genome-wide HiChIP interactome analysis with transcriptome-wide association study (TWAS), variant effect predictor, transcription factor ChIP-seq, and motifbreakR data, we identified candidate gene-CCV interactions at each locus. This included risk loci where TWAS identified one or more candidate susceptibility genes (e.g., HOXD-AS2, HOXD8, and HOXD3 at 2q31) and other loci where no candidate gene was identified (e.g., MYC and PVT1 at 8q24) by TWAS. In summary, this study describes a functional framework and provides a greater understanding of the biological significance of risk alleles and candidate gene targets at EOC susceptibility loci identified by a genome-wide association study.
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Affiliation(s)
- Eileen O Dareng
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Simon G Coetzee
- Center for Bioinformatics and Functional Genomics and the Cedars Sinai Genomics Core, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Jonathan P Tyrer
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Pei-Chen Peng
- Center for Bioinformatics and Functional Genomics and the Cedars Sinai Genomics Core, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Will Rosenow
- 3Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Stephanie Chen
- Center for Bioinformatics and Functional Genomics and the Cedars Sinai Genomics Core, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Applied Genomics, Computation and Translational Core, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Brian D Davis
- Center for Bioinformatics and Functional Genomics and the Cedars Sinai Genomics Core, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Applied Genomics, Computation and Translational Core, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Felipe Segato Dezem
- Center for Bioinformatics and Functional Genomics and the Cedars Sinai Genomics Core, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Ji-Heui Seo
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; The Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Robbin Nameki
- Women's Cancer Program, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Alberto L Reyes
- Center for Bioinformatics and Functional Genomics and the Cedars Sinai Genomics Core, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Katja K H Aben
- Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, the Netherlands; Netherlands Comprehensive Cancer Organisation, Utrecht, the Netherlands
| | - Hoda Anton-Culver
- Department of Medicine, Genetic Epidemiology Research Institute, University of California, Irvine, Irvine, CA, USA
| | - Natalia N Antonenkova
- N.N. Alexandrov Research Institute of Oncology and Medical Radiology, Minsk, Belarus
| | | | - Elisa V Bandera
- Cancer Prevention and Control Program, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
| | - Laura E Beane Freeman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Matthias W Beckmann
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, Friedrich-Alexander University Erlangen-Nuremberg, University Hospital Erlangen, Erlangen, Germany
| | - Alicia Beeghly-Fadiel
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Javier Benitez
- Human Genetics Group, Spanish National Cancer Research Centre (CNIO), Madrid, Spain; Centre for Biomedical Network Research on Rare Diseases (CIBERER), Instituto de Salud Carlos III, Madrid, Spain
| | - Marcus Q Bernardini
- Division of Gynecologic Oncology, University Health Network, Princess Margaret Hospital, Toronto, ON, Canada
| | - Line Bjorge
- Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway; Centre for Cancer Biomarkers CCBIO, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Amanda Black
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Natalia V Bogdanova
- N.N. Alexandrov Research Institute of Oncology and Medical Radiology, Minsk, Belarus; Department of Radiation Oncology, Hannover Medical School, Hannover, Germany; Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Kelly L Bolton
- Division of Biology and Biomedical Sciences, Washington University, St. Louis, MO, USA
| | - James D Brenton
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Agnieszka Budzilowska
- Department of Pathology and Laboratory Diagnostics, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland
| | - Ralf Butzow
- Department of Pathology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Hui Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Ian Campbell
- Cancer Genetics Laboratory, Research Division, Peter MacCallum Cancer Center, Melbourne, VIC, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia
| | - Rikki Cannioto
- Cancer Pathology & Prevention, Division of Cancer Prevention and Population Sciences, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany; Cancer Epidemiology Group, University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Kexin Chen
- Department of Epidemiology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Georgia Chenevix-Trench
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Yoke-Eng Chiew
- Centre for Cancer Research, The Westmead Institute for Medical Research, Sydney, NSW, Australia; Department of Gynaecological Oncology, Westmead Hospital, Sydney, NSW, Australia
| | - Linda S Cook
- Epidemiology, School of Public Health, University of Colorado, Aurora, CO, USA; Community Health Sciences, University of Calgary, Calgary, AB, Canada
| | - Anna DeFazio
- Centre for Cancer Research, The Westmead Institute for Medical Research, Sydney, NSW, Australia; Department of Gynaecological Oncology, Westmead Hospital, Sydney, NSW, Australia; The Daffodil Centre, a joint venture with Cancer Council NSW, The University of Sydney, Sydney, NSW, Australia
| | - Joe Dennis
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Jennifer A Doherty
- Huntsman Cancer Institute, Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Thilo Dörk
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Andreas du Bois
- Department of Gynecology and Gynecological Oncology; HSK, Dr. Horst-Schmidt Klinik, Wiesbaden, Wiesbaden, Germany; Department of Gynecology and Gynecologic Oncology, Evangelische Kliniken Essen-Mitte (KEM), Essen, Germany
| | - Matthias Dürst
- Department of Gynaecology, Jena University Hospital - Friedrich Schiller University, Jena, Germany
| | - Diana M Eccles
- Faculty of Medicine, University of Southampton, Southampton, UK
| | - Gabrielle Ene
- Division of Gynecologic Oncology, University Health Network, Princess Margaret Hospital, Toronto, ON, Canada
| | - Peter A Fasching
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, Friedrich-Alexander University Erlangen-Nuremberg, University Hospital Erlangen, Erlangen, Germany
| | - James M Flanagan
- Division of Cancer and Ovarian Cancer Action Research Centre, Department of Surgery and Cancer, Imperial College London, London, UK
| | - Renée T Fortner
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Florentia Fostira
- Molecular Diagnostics Laboratory, INRASTES, National Centre for Scientific Research 'Demokritos', Athens, Greece
| | - Aleksandra Gentry-Maharaj
- MRC Clinical Trials Unit, Institute of Clinical Trials & Methodology, University College London, London, UK
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
| | - Marc T Goodman
- Cancer Prevention and Control Program, Cedars-Sinai Cancer, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Jacek Gronwald
- Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University, Szczecin, Poland
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Niclas Håkansson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Florian Heitz
- Department of Gynecology and Gynecological Oncology; HSK, Dr. Horst-Schmidt Klinik, Wiesbaden, Wiesbaden, Germany; Department of Gynecology and Gynecologic Oncology, Evangelische Kliniken Essen-Mitte (KEM), Essen, Germany; Center for Pathology, Evangelische Kliniken Essen-Mitte, Essen, Germany
| | | | - Estrid Høgdall
- Department of Pathology, Herlev Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Claus K Høgdall
- Department of Gynaecology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Ruea-Yea Huang
- Center For Immunotherapy, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Allan Jensen
- Department of Virus, Lifestyle and Genes, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Michael E Jones
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Daehee Kang
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea; Cancer Research Institute, Seoul National University, Seoul, Korea
| | - Beth Y Karlan
- David Geffen School of Medicine, Department of Obstetrics and Gynecology, University of California at Los Angeles, Los Angeles, CA, USA
| | - Anthony N Karnezis
- Department of Pathology and Laboratory Medicine, UC Davis Medical Center, Sacramento, CA, USA
| | - Linda E Kelemen
- Hollings Cancer Center, Medical University of South Carolina, Charleston, SC, USA
| | - Catherine J Kennedy
- Centre for Cancer Research, The Westmead Institute for Medical Research, Sydney, NSW, Australia; Department of Gynaecological Oncology, Westmead Hospital, Sydney, NSW, Australia; The University of Sydney, Sydney, NSW, Australia
| | - Elza K Khusnutdinova
- Institute of Biochemistry and Genetics of the Ufa Federal Research Centre of the Russian Academy of Sciences, Ufa, Russia; Department of Genetics and Fundamental Medicine, Bashkir State University, Ufa, Russia
| | - Lambertus A Kiemeney
- Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Susanne K Kjaer
- Department of Gynaecology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark; Department of Virus, Lifestyle and Genes, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Jolanta Kupryjanczyk
- Department of Pathology and Laboratory Diagnostics, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland
| | - Marilyne Labrie
- Department of Immunology and Cell Biology, FMSS - Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Diether Lambrechts
- Laboratory for Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium; VIB Center for Cancer Biology, VIB, Leuven, Belgium
| | - Melissa C Larson
- Department of Quantitative Health Sciences, Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN, USA
| | - Nhu D Le
- Cancer Control Research, BC Cancer, Vancouver, BC, Canada
| | - Jenny Lester
- David Geffen School of Medicine, Department of Obstetrics and Gynecology, University of California at Los Angeles, Los Angeles, CA, USA
| | - Lian Li
- Department of Epidemiology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Jan Lubiński
- Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University, Szczecin, Poland
| | - Michael Lush
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Jeffrey R Marks
- Department of Surgery, Duke University Hospital, Durham, NC, USA
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan; Division of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Taymaa May
- Division of Gynecologic Oncology, University Health Network, Princess Margaret Hospital, Toronto, ON, Canada
| | - John R McLaughlin
- Public Health Ontario, Samuel Lunenfeld Research Institute, Toronto, ON, Canada
| | - Iain A McNeish
- Division of Cancer and Ovarian Cancer Action Research Centre, Department Surgery & Cancer, Imperial College London, London, UK; Institute of Cancer Sciences, University of Glasgow, Glasgow, UK
| | - Usha Menon
- MRC Clinical Trials Unit, Institute of Clinical Trials & Methodology, University College London, London, UK
| | - Stacey Missmer
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Obstetrics and Gynecology Epidemiology Center, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Francesmary Modugno
- Women's Cancer Research Center, Magee-Womens Research Institute and Hillman Cancer Center, Pittsburgh, PA, USA; Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Melissa Moffitt
- Department of Gynecologic Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Alvaro N Monteiro
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA
| | - Kirsten B Moysich
- Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, NY, USA
| | - Steven A Narod
- Women's College Research Institute, University of Toronto, Toronto, ON, Canada
| | - Tu Nguyen-Dumont
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia; Department of Clinical Pathology, The University of Melbourne, Melbourne, VIC, Australia
| | - Kunle Odunsi
- University of Chicago Medicine Comprehensive Cancer Center, Chicago, IL, USA; Department of Obstetrics and Gynecology, University of Chicago, Chicago, IL, USA
| | - Håkan Olsson
- Oncology, Department of Clinical Sciences, Lund University, Lund, Sweden
| | - N Charlotte Onland-Moret
- Julius Center for Health Sciences and Primary Care, University Utrecht, UMC Utrecht, Utrecht, the Netherlands
| | - Sue K Park
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea; Cancer Research Institute, Seoul National University, Seoul, Korea; Integrated Major in Innovative Medical Science, Seoul National University College of Medicine, Seoul, South Korea
| | - Tanja Pejovic
- Department of Obstetrics and Gynecology, Oregon Health & Science University, Portland, OR, USA; Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA
| | - Jennifer B Permuth
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA
| | - Anna Piskorz
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Darya Prokofyeva
- Department of Genetics and Fundamental Medicine, Bashkir State University, Ufa, Russia
| | - Marjorie J Riggan
- Department of Gynecologic Oncology, Duke University Hospital, Durham, NC, USA
| | - Harvey A Risch
- Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, USA
| | - Cristina Rodríguez-Antona
- Centre for Biomedical Network Research on Rare Diseases (CIBERER), Instituto de Salud Carlos III, Madrid, Spain; Hereditary Endocrine Cancer Group, Spanish National Cancer Research Center (CNIO), Madrid, Spain
| | - Mary Anne Rossing
- Program in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA; Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
| | - V Wendy Setiawan
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Kang Shan
- Department of Obstetrics and Gynaecology, Hebei Medical University, Fourth Hospital, Shijiazhuang, China
| | - Honglin Song
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Melissa C Southey
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia; Department of Clinical Pathology, The University of Melbourne, Melbourne, VIC, Australia
| | - Helen Steed
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Alberta, Edmonton, AB, Canada; Section of Gynecologic Oncology Surgery, Alberta Health Services, North Zone, Edmonton, AB, Canada
| | - Rebecca Sutphen
- Epidemiology Center, College of Medicine, University of South Florida, Tampa, FL, USA
| | - Anthony J Swerdlow
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK; Division of Breast Cancer Research, The Institute of Cancer Research, London, UK
| | - Soo Hwang Teo
- Breast Cancer Research Programme, Cancer Research Malaysia, Subang Jaya, Selangor, Malaysia; Department of Surgery, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Kathryn L Terry
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Obstetrics and Gynecology Epidemiology Center, Department of Obstetrics and Gyneoclogy, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Pamela J Thompson
- Samuel Oschin Comprehensive Cancer Institute, Cancer Prevention and Genetics Program, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Liv Cecilie Vestrheim Thomsen
- Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway; Centre for Cancer Biomarkers CCBIO, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Linda Titus
- Muskie School of Public Service, University of Southern Maine, Portland, ME, USA
| | - Britton Trabert
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Ruth Travis
- Cancer Epidemiology Unit, University of Oxford, Oxford, UK
| | - Shelley S Tworoger
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA
| | - Ellen Valen
- Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway; Centre for Cancer Biomarkers CCBIO, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Els Van Nieuwenhuysen
- Division of Gynecologic Oncology, Department of Gynecology and Obstetrics, Leuven Cancer Institute, Leuven, Belgium
| | - Digna Velez Edwards
- Division of Quantitative Sciences, Department of Obstetrics and Gynecology, Department of Biomedical Sciences, Women's Health Research, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Robert A Vierkant
- Department of Quantitative Health Sciences, Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN, USA
| | - Penelope M Webb
- Population Health Department, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Clarice R Weinberg
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
| | - Rayna Matsuno Weise
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Nicolas Wentzensen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Emily White
- Department of Epidemiology, University of Washington, Seattle, WA, USA; Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Stacey J Winham
- Department of Quantitative Health Sciences, Division of Computational Biology, Mayo Clinic, Rochester, MN, USA
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Yin-Ling Woo
- Department of Obstetrics and Gynaecology, University of Malaya Medical Centre, University of Malaya, Kuala Lumpur, Malaysia
| | - Anna H Wu
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA, USA
| | - Li Yan
- Department of Molecular Biology, Hebei Medical University, Fourth Hospital, Shijiazhuang, China
| | - Drakoulis Yannoukakos
- Molecular Diagnostics Laboratory, INRASTES, National Centre for Scientific Research 'Demokritos', Athens, Greece
| | - Nur Zeinomar
- Cancer Prevention and Control Program, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Argyrios Ziogas
- Department of Medicine, Genetic Epidemiology Research Institute, University of California, Irvine, Irvine, CA, USA
| | - Andrew Berchuck
- Department of Gynecologic Oncology, Duke University Hospital, Durham, NC, USA
| | - Ellen L Goode
- Department of Quantitative Health Sciences, Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | - David G Huntsman
- Department of Obstetrics and Gynecology, University of British Columbia, Vancouver, BC, Canada; Department of Molecular Oncology, BC Cancer Research Centre, Vancouver, BC, Canada
| | - Celeste L Pearce
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA, USA; Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Susan J Ramus
- School of Women's and Children's Health, Faculty of Medicine and Health, University of NSW Sydney, Sydney, NSW, Australia; Adult Cancer Program, Lowy Cancer Research Centre, University of NSW Sydney, Sydney, NSW, Australia
| | | | - Matthew L Freedman
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; The Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Kate Lawrenson
- Women's Cancer Program, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Joellen M Schildkraut
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Dennis Hazelett
- Samuel Oschin Comprehensive Cancer Institute, The Center for Bioinformatics and Functional Biology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Jasmine T Plummer
- Center for Bioinformatics and Functional Genomics and the Cedars Sinai Genomics Core, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Applied Genomics, Computation and Translational Core, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Siddhartha Kar
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK; Section of Translational Epidemiology, Division of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Michelle R Jones
- Center for Bioinformatics and Functional Genomics and the Cedars Sinai Genomics Core, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Paul D P Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK; Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK.
| | - Simon A Gayther
- Center for Bioinformatics and Functional Genomics and the Cedars Sinai Genomics Core, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
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Bui M, Baek S, Bentahar RS, Melters DP, Dalal Y. Native and tagged CENP-A histones are functionally inequivalent. Epigenetics Chromatin 2024; 17:19. [PMID: 38825690 PMCID: PMC11145777 DOI: 10.1186/s13072-024-00543-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Accepted: 05/22/2024] [Indexed: 06/04/2024] Open
Abstract
BACKGROUND Over the past several decades, the use of biochemical and fluorescent tags has elucidated mechanistic and cytological processes that would otherwise be impossible. The challenging nature of certain nuclear proteins includes low abundancy, poor antibody recognition, and transient dynamics. One approach to get around those issues is the addition of a peptide or larger protein tag to the target protein to improve enrichment, purification, and visualization. However, many of these studies were done under the assumption that tagged proteins can fully recapitulate native protein function. RESULTS We report that when C-terminally TAP-tagged CENP-A histone variant is introduced, it undergoes altered kinetochore protein binding, differs in post-translational modifications (PTMs), utilizes histone chaperones that differ from that of native CENP-A, and can partially displace native CENP-A in human cells. Additionally, these tagged CENP-A-containing nucleosomes have reduced centromeric incorporation at early G1 phase and poorly associates with linker histone H1.5 compared to native CENP-A nucleosomes. CONCLUSIONS These data suggest expressing tagged versions of histone variant CENP-A may result in unexpected utilization of non-native pathways, thereby altering the biological function of the histone variant.
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Affiliation(s)
- Minh Bui
- Center for Cancer Research, Laboratory of Receptor Biology and Gene Expression, National Cancer Institute, 41 Medlars Drive, Bldg 41/Rm B1300, Bethesda, MD, 20892, USA.
| | - Songjoon Baek
- Center for Cancer Research, Laboratory of Receptor Biology and Gene Expression, National Cancer Institute, 41 Medlars Drive, Bldg 41/Rm B1300, Bethesda, MD, 20892, USA
| | - Reda S Bentahar
- Center for Cancer Research, Laboratory of Receptor Biology and Gene Expression, National Cancer Institute, 41 Medlars Drive, Bldg 41/Rm B1300, Bethesda, MD, 20892, USA
| | - Daniël P Melters
- Center for Cancer Research, Laboratory of Receptor Biology and Gene Expression, National Cancer Institute, 41 Medlars Drive, Bldg 41/Rm B1300, Bethesda, MD, 20892, USA
| | - Yamini Dalal
- Center for Cancer Research, Laboratory of Receptor Biology and Gene Expression, National Cancer Institute, 41 Medlars Drive, Bldg 41/Rm B1300, Bethesda, MD, 20892, USA.
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Shen GW, Liu D, Xu HR, Hou LY, Wu JX, Xia QY, Lin P. Estrogen-related receptor, a molecular target against lepidoptera pests. PESTICIDE BIOCHEMISTRY AND PHYSIOLOGY 2024; 202:105947. [PMID: 38879334 DOI: 10.1016/j.pestbp.2024.105947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Revised: 04/16/2024] [Accepted: 05/04/2024] [Indexed: 06/29/2024]
Abstract
Until recently, chemical pesticides were one of the most effective means of controlling agricultural pests; therefore, the search for insecticide targets for agricultural pests has been an ongoing problem. Estrogen-related receptors (ERRs) are transcription factors that regulate cellular metabolism and energy homeostasis in animals. Silkworms are highly sensitive to chemical pesticides, making them ideal models for pesticide screening and evaluation. In this study, we detected ERR expression in key organs involved in pesticide metabolism in silkworms (Bombyx mori), including the fat body and midgut. Using ChIP-seq technology, many estrogen- related response elements were identified in the 2000-bp promoter region upstream of metabolism-related genes, almost all of which were potential ERR target genes. The ERR inhibitor, XCT-790, and the endocrine disruptor, bisphenol A, significantly inhibited expression of the ERR target genes, BmTreh-1, BmTret-1, BmPK, BmPFK, and BmHK, in the fat bodies of silkworms, resulting in pupation difficulties in silkworm larvae that ultimately lead to death. In addition, based on the clarification that the ERR can bind to XCT-790, as observed through biofilm interferometry, its three-dimensional spatial structure was predicted, and using molecular docking techniques, small-molecule compounds with a stronger affinity for the ERR were identified. In summary, utilizing the powerful metabolic regulatory function of ERR in Lepidoptera pests, the developed small molecule inhibitors of ERR can be used for future control of Lepidoptera pests.
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Affiliation(s)
- Guan Wang Shen
- Integrative Science Center of Germplasm Creation in Western China (Chongqing) Science City, Biological Science Research Center, Southwest University, Chongqing 400715, China.
| | - Die Liu
- Integrative Science Center of Germplasm Creation in Western China (Chongqing) Science City, Biological Science Research Center, Southwest University, Chongqing 400715, China.
| | - Hao Ran Xu
- Integrative Science Center of Germplasm Creation in Western China (Chongqing) Science City, Biological Science Research Center, Southwest University, Chongqing 400715, China.
| | - Lu Yu Hou
- Integrative Science Center of Germplasm Creation in Western China (Chongqing) Science City, Biological Science Research Center, Southwest University, Chongqing 400715, China.
| | - Jin Xin Wu
- Integrative Science Center of Germplasm Creation in Western China (Chongqing) Science City, Biological Science Research Center, Southwest University, Chongqing 400715, China.
| | - Qing You Xia
- Integrative Science Center of Germplasm Creation in Western China (Chongqing) Science City, Biological Science Research Center, Southwest University, Chongqing 400715, China.
| | - Ping Lin
- Integrative Science Center of Germplasm Creation in Western China (Chongqing) Science City, Biological Science Research Center, Southwest University, Chongqing 400715, China.
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24
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Rai LS, Chauvel M, Sanchez H, van Wijlick L, Maufrais C, Cokelaer T, Sertour N, Legrand M, Sanyal K, Andes DR, Bachellier-Bassi S, d’Enfert C. Metabolic reprogramming during Candida albicans planktonic-biofilm transition is modulated by the transcription factors Zcf15 and Zcf26. PLoS Biol 2024; 22:e3002693. [PMID: 38905306 PMCID: PMC11221756 DOI: 10.1371/journal.pbio.3002693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 07/03/2024] [Accepted: 05/29/2024] [Indexed: 06/23/2024] Open
Abstract
Candida albicans is a commensal of the human microbiota that can form biofilms on implanted medical devices. These biofilms are tolerant to antifungals and to the host immune system. To identify novel genes modulating C. albicans biofilm formation, we performed a large-scale screen with 2,454 C. albicans doxycycline-dependent overexpression strains and identified 16 genes whose overexpression significantly hampered biofilm formation. Among those, overexpression of the ZCF15 and ZCF26 paralogs that encode transcription factors and have orthologs only in biofilm-forming species of the Candida clade, caused impaired biofilm formation both in vitro and in vivo. Interestingly, overexpression of ZCF15 impeded biofilm formation without any defect in hyphal growth. Transcript profiling, transcription factor binding, and phenotypic microarray analyses conducted upon overexpression of ZCF15 and ZCF26 demonstrated their role in reprogramming cellular metabolism by regulating central metabolism including glyoxylate and tricarboxylic acid cycle genes. Taken together, this study has identified a new set of biofilm regulators, including ZCF15 and ZCF26, that appear to control biofilm development through their specific role in metabolic remodeling.
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Affiliation(s)
- Laxmi Shanker Rai
- Institut Pasteur, Université Paris Cité, INRAE USC2019, Unité Biologie et Pathogénicité Fongiques, Paris, France
- Department of Life Sciences, GITAM University, Bengaluru, Karnataka 561203, India
| | - Murielle Chauvel
- Institut Pasteur, Université Paris Cité, INRAE USC2019, Unité Biologie et Pathogénicité Fongiques, Paris, France
| | - Hiram Sanchez
- Department of Medicine, University of Wisconsin, Madison, Wisconsin, United States of America
| | - Lasse van Wijlick
- Institut Pasteur, Université Paris Cité, INRAE USC2019, Unité Biologie et Pathogénicité Fongiques, Paris, France
| | - Corinne Maufrais
- Institut Pasteur, Université Paris Cité, INRAE USC2019, Unité Biologie et Pathogénicité Fongiques, Paris, France
| | - Thomas Cokelaer
- Institut Pasteur, Université Paris Cité, Hub de Bioinformatique et Biostatistique, Paris, France
| | - Natacha Sertour
- Institut Pasteur, Université Paris Cité, INRAE USC2019, Unité Biologie et Pathogénicité Fongiques, Paris, France
| | - Mélanie Legrand
- Institut Pasteur, Université Paris Cité, INRAE USC2019, Unité Biologie et Pathogénicité Fongiques, Paris, France
| | - Kaustuv Sanyal
- Molecular Mycology Laboratory, Molecular Biology and Genetics Unit, Jawaharlal Nehru Centre for Advanced Scientific Research, Jakkur, Bangalore, India
- Department of Biological Sciences, Bose Institute, Unified Academic Campus, EN-80, Sector-V, Salt Lake City, Kolkata, India
| | - David R. Andes
- Department of Medicine, University of Wisconsin, Madison, Wisconsin, United States of America
| | - Sophie Bachellier-Bassi
- Institut Pasteur, Université Paris Cité, INRAE USC2019, Unité Biologie et Pathogénicité Fongiques, Paris, France
| | - Christophe d’Enfert
- Institut Pasteur, Université Paris Cité, INRAE USC2019, Unité Biologie et Pathogénicité Fongiques, Paris, France
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25
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Stankey CT, Bourges C, Haag LM, Turner-Stokes T, Piedade AP, Palmer-Jones C, Papa I, Silva Dos Santos M, Zhang Q, Cameron AJ, Legrini A, Zhang T, Wood CS, New FN, Randzavola LO, Speidel L, Brown AC, Hall A, Saffioti F, Parkes EC, Edwards W, Direskeneli H, Grayson PC, Jiang L, Merkel PA, Saruhan-Direskeneli G, Sawalha AH, Tombetti E, Quaglia A, Thorburn D, Knight JC, Rochford AP, Murray CD, Divakar P, Green M, Nye E, MacRae JI, Jamieson NB, Skoglund P, Cader MZ, Wallace C, Thomas DC, Lee JC. A disease-associated gene desert directs macrophage inflammation through ETS2. Nature 2024; 630:447-456. [PMID: 38839969 PMCID: PMC11168933 DOI: 10.1038/s41586-024-07501-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Accepted: 05/01/2024] [Indexed: 06/07/2024]
Abstract
Increasing rates of autoimmune and inflammatory disease present a burgeoning threat to human health1. This is compounded by the limited efficacy of available treatments1 and high failure rates during drug development2, highlighting an urgent need to better understand disease mechanisms. Here we show how functional genomics could address this challenge. By investigating an intergenic haplotype on chr21q22-which has been independently linked to inflammatory bowel disease, ankylosing spondylitis, primary sclerosing cholangitis and Takayasu's arteritis3-6-we identify that the causal gene, ETS2, is a central regulator of human inflammatory macrophages and delineate the shared disease mechanism that amplifies ETS2 expression. Genes regulated by ETS2 were prominently expressed in diseased tissues and more enriched for inflammatory bowel disease GWAS hits than most previously described pathways. Overexpressing ETS2 in resting macrophages reproduced the inflammatory state observed in chr21q22-associated diseases, with upregulation of multiple drug targets, including TNF and IL-23. Using a database of cellular signatures7, we identified drugs that might modulate this pathway and validated the potent anti-inflammatory activity of one class of small molecules in vitro and ex vivo. Together, this illustrates the power of functional genomics, applied directly in primary human cells, to identify immune-mediated disease mechanisms and potential therapeutic opportunities.
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Affiliation(s)
- C T Stankey
- Genetic Mechanisms of Disease Laboratory, The Francis Crick Institute, London, UK
- Department of Immunology and Inflammation, Imperial College London, London, UK
- Washington University School of Medicine, St Louis, MO, USA
| | - C Bourges
- Genetic Mechanisms of Disease Laboratory, The Francis Crick Institute, London, UK
| | - L M Haag
- Division of Gastroenterology, Infectious Diseases and Rheumatology, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - T Turner-Stokes
- Genetic Mechanisms of Disease Laboratory, The Francis Crick Institute, London, UK
- Department of Immunology and Inflammation, Imperial College London, London, UK
| | - A P Piedade
- Genetic Mechanisms of Disease Laboratory, The Francis Crick Institute, London, UK
| | - C Palmer-Jones
- Department of Gastroenterology, Royal Free Hospital, London, UK
- Institute for Liver and Digestive Health, Division of Medicine, University College London, London, UK
| | - I Papa
- Genetic Mechanisms of Disease Laboratory, The Francis Crick Institute, London, UK
| | | | - Q Zhang
- Genomics of Inflammation and Immunity Group, Human Genetics Programme, Wellcome Sanger Institute, Hinxton, UK
| | - A J Cameron
- Wolfson Wohl Cancer Centre, School of Cancer Sciences, University of Glasgow, Glasgow, UK
| | - A Legrini
- Wolfson Wohl Cancer Centre, School of Cancer Sciences, University of Glasgow, Glasgow, UK
| | - T Zhang
- Wolfson Wohl Cancer Centre, School of Cancer Sciences, University of Glasgow, Glasgow, UK
| | - C S Wood
- Wolfson Wohl Cancer Centre, School of Cancer Sciences, University of Glasgow, Glasgow, UK
| | - F N New
- NanoString Technologies, Seattle, WA, USA
| | - L O Randzavola
- Department of Immunology and Inflammation, Imperial College London, London, UK
| | - L Speidel
- Ancient Genomics Laboratory, The Francis Crick Institute, London, UK
- Genetics Institute, University College London, London, UK
| | - A C Brown
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - A Hall
- The Sheila Sherlock Liver Centre, Royal Free Hospital, London, UK
- Department of Cellular Pathology, Royal Free Hospital, London, UK
| | - F Saffioti
- Institute for Liver and Digestive Health, Division of Medicine, University College London, London, UK
- The Sheila Sherlock Liver Centre, Royal Free Hospital, London, UK
| | - E C Parkes
- Genetic Mechanisms of Disease Laboratory, The Francis Crick Institute, London, UK
| | - W Edwards
- Cambridge Institute of Therapeutic Immunology and Infectious Disease, University of Cambridge, Cambridge, UK
| | - H Direskeneli
- Department of Internal Medicine, Division of Rheumatology, Marmara University, Istanbul, Turkey
| | - P C Grayson
- Systemic Autoimmunity Branch, NIAMS, National Institutes of Health, Bethesda, MD, USA
| | - L Jiang
- Department of Rheumatology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - P A Merkel
- Division of Rheumatology, Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Division of Epidemiology, Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | - G Saruhan-Direskeneli
- Department of Physiology, Istanbul University, Istanbul Faculty of Medicine, Istanbul, Turkey
| | - A H Sawalha
- Division of Rheumatology, Department of Pediatrics, University of Pittsburgh, Pittsburgh, PA, USA
- Division of Rheumatology and Clinical Immunology, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Lupus Center of Excellence, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Immunology, University of Pittsburgh, Pittsburgh, PA, USA
| | - E Tombetti
- Department of Biomedical and Clinical Sciences, Milan University, Milan, Italy
- Internal Medicine and Rheumatology, ASST FBF-Sacco, Milan, Italy
| | - A Quaglia
- Department of Cellular Pathology, Royal Free Hospital, London, UK
- UCL Cancer Institute, London, UK
| | - D Thorburn
- Institute for Liver and Digestive Health, Division of Medicine, University College London, London, UK
- The Sheila Sherlock Liver Centre, Royal Free Hospital, London, UK
| | - J C Knight
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Chinese Academy of Medical Sciences Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- NIHR Comprehensive Biomedical Research Centre, Oxford, UK
| | - A P Rochford
- Department of Gastroenterology, Royal Free Hospital, London, UK
- Institute for Liver and Digestive Health, Division of Medicine, University College London, London, UK
| | - C D Murray
- Department of Gastroenterology, Royal Free Hospital, London, UK
- Institute for Liver and Digestive Health, Division of Medicine, University College London, London, UK
| | - P Divakar
- NanoString Technologies, Seattle, WA, USA
| | - M Green
- Experimental Histopathology STP, The Francis Crick Institute, London, UK
| | - E Nye
- Experimental Histopathology STP, The Francis Crick Institute, London, UK
| | - J I MacRae
- Metabolomics STP, The Francis Crick Institute, London, UK
| | - N B Jamieson
- Wolfson Wohl Cancer Centre, School of Cancer Sciences, University of Glasgow, Glasgow, UK
| | - P Skoglund
- Ancient Genomics Laboratory, The Francis Crick Institute, London, UK
| | - M Z Cader
- Cambridge Institute of Therapeutic Immunology and Infectious Disease, University of Cambridge, Cambridge, UK
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - C Wallace
- Cambridge Institute of Therapeutic Immunology and Infectious Disease, University of Cambridge, Cambridge, UK
- MRC Biostatistics Unit, Cambridge Institute of Public Health, Cambridge, UK
| | - D C Thomas
- Cambridge Institute of Therapeutic Immunology and Infectious Disease, University of Cambridge, Cambridge, UK
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - J C Lee
- Genetic Mechanisms of Disease Laboratory, The Francis Crick Institute, London, UK.
- Department of Gastroenterology, Royal Free Hospital, London, UK.
- Institute for Liver and Digestive Health, Division of Medicine, University College London, London, UK.
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26
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Cai C, Liu Q, Shan H, Zhong C, Chen G, Cai Z, Zheng Y, Lu J, Tang J, Lin Z. Aberrant Super-Enhancer Landscape in Enzalutamide-Resistant Prostate Cancer Cells. Genet Test Mol Biomarkers 2024; 28:243-256. [PMID: 38722048 DOI: 10.1089/gtmb.2023.0280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/06/2024] Open
Abstract
Background: Castration-resistant prostate cancer (CRPC), which has developed resistance to next-generation antiandrogens, such as enzalutamide (Enz), is a lethal disease. Furthermore, transcriptional regulation by super enhancers (SEs) is crucial for the growth and spread of prostate cancer, as well as drug resistance. The functions of SEs, a significant class of noncoding DNA cis-regulatory elements, have been the subject of numerous recent studies in the field of cancer research. Materials and Methods: The goal of this research was to identify SEs associated with Enz resistance in C4-2B cells using chromatin immunoprecipitation sequencing and cleavage under targets and tagmentation (CUT&Tag). Using HOMER analysis to predict protein/gene-binding motifs, we identified master transcription factors (TFs) that may bind to SE sites. Using small interfering RNA, WST-1 assays, and qRT-PCR, we then confirmed the associations between TFs of SEs and Enz resistance. Results: A total of 999 SEs were screened from C4-2B EnzR cells in total. Incorporating analysis with RNA-seq data revealed 41 SEs to be strongly associated with the promotion of Enz resistance. In addition, we finally predicted that master TFs bind to SE-binding regions. Subsequently, we selected zinc finger protein 467 (ZFP467) and SMAD family member 3 to confirm the functional connections of master TFs with Enz resistance through SEs (ZNF467). Conclusions: In this study, SMAD3 and ZNF467 were found to be closely related to Enz-resistant CRPC. Our research uncovered a sizable group of SEs linked to Enz resistance in prostate cancer, dissected the mechanisms underlying SE Enz resistance, and shed light on potential clinical uses for SEs.
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Affiliation(s)
- Chao Cai
- Department of Urology, Minimally Invasive Surgery Center, The First Affiliated Hospital of Guangzhou Medical University, Guangdong Key Laboratory of Urology, Guangzhou Institute of Urology, Guangzhou, China
| | - Qinwei Liu
- Department of Urology, Minimally Invasive Surgery Center, The First Affiliated Hospital of Guangzhou Medical University, Guangdong Key Laboratory of Urology, Guangzhou Institute of Urology, Guangzhou, China
| | - Haoran Shan
- Department of Urology, Minimally Invasive Surgery Center, The First Affiliated Hospital of Guangzhou Medical University, Guangdong Key Laboratory of Urology, Guangzhou Institute of Urology, Guangzhou, China
| | - Chuanfan Zhong
- Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Guidong Chen
- Department of Pathology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Zhouda Cai
- Department of Andrology, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Yu Zheng
- Department of Urology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China
| | - Jianming Lu
- Department of Andrology, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Jiaojiao Tang
- Department of Cardiology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Zhuoyuan Lin
- Department of Urology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China
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27
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Crewe M, Segev A, Rueda R, Madabhushi R. Atypical Modes of CTCF Binding Facilitate Tissue-Specific and Neuronal Activity-Dependent Gene Expression States. Mol Neurobiol 2024; 61:3240-3257. [PMID: 37979036 DOI: 10.1007/s12035-023-03762-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 10/31/2023] [Indexed: 11/19/2023]
Abstract
Multivalent binding of CTCF to variable DNA sequences is thought to underlie its ability to mediate diverse cellular functions. CTCF typically binds a 20 base-pair consensus DNA sequence, but the full diversity of CTCF binding sites (CBS) within the genome has not been interrogated. We assessed CTCF occupancy in cultured cortical neurons and observed surprisingly that ~ 22% of CBS lack the consensus CTCF motif. We report here that sequence diversity at most of these atypical CBS involves degeneracy at specific nucleotide positions within the consensus CTCF motif, which likely affect the binding of CTCF zinc fingers 6 and 7. This mode of atypical CTCF binding defines most CBS at gene promoters, as well as CBS that are dynamically altered during neural differentiation and following neuronal stimulation, revealing how atypical CTCF binding could influence gene activity. Dynamic CBS are distributed both within and outside loop anchors and TAD boundaries, suggesting both looping-dependent and independent roles for CTCF. Finally, we describe a second mode of atypical CTCF binding to DNA sequences that are completely unrelated to the consensus CTCF motif, which are enriched within the bodies of tissue-specific genes. These tissue-specific atypical CBS are also enriched in H3K27ac, which marks cis-regulatory elements within chromatin, including enhancers. Overall, these results indicate how atypical CBS could dynamically regulate gene activity patterns during differentiation, development, and in response to environmental cues.
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Affiliation(s)
- Morgan Crewe
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
- Department of Neuroscience, University of Texas Southwestern Medical Center, Dallas, TX, USA
- Department of Cell Biology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Amir Segev
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
- Department of Neuroscience, University of Texas Southwestern Medical Center, Dallas, TX, USA
- Department of Cell Biology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Richard Rueda
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
- Department of Neuroscience, University of Texas Southwestern Medical Center, Dallas, TX, USA
- Department of Cell Biology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Ram Madabhushi
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA.
- Department of Neuroscience, University of Texas Southwestern Medical Center, Dallas, TX, USA.
- Department of Cell Biology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
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28
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Liu Y, Yi J, Wu P, Zhang J, Li X, Li J, Zhou L, Liu Y, Xu H, Chen E, Zhang H, Liang M, Liu P, Pan X, Lu Y. Wemics: A Single-Base Resolution Methylation Quantification Method for Enhanced Prediction of Epigenetic Regulation. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2308884. [PMID: 38544480 PMCID: PMC11151077 DOI: 10.1002/advs.202308884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Revised: 03/04/2024] [Indexed: 06/06/2024]
Abstract
DNA methylation, an epigenetic mechanism that alters gene expression without changing DNA sequence, is essential for organism development and key biological processes like genomic imprinting and X-chromosome inactivation. Despite tremendous efforts in DNA methylation research, accurate quantification of cytosine methylation remains a challenge. Here, a single-base methylation quantification approach is introduced by weighting methylation of consecutive CpG sites (Wemics) in genomic regions. Wemics quantification of DNA methylation better predicts its regulatory impact on gene transcription and identifies differentially methylated regions (DMRs) with more biological relevance. Most Wemics-quantified DMRs in lung cancer are epigenetically conserved and recurrently occurred in other primary cancers from The Cancer Genome Atlas (TCGA), and their aberrant alterations can serve as promising pan-cancer diagnostic markers. It is further revealed that these detected DMRs are enriched in transcription factor (TF) binding motifs, and methylation of these TF binding motifs and TF expression synergistically regulate target gene expression. Using Wemics on epigenomic-transcriptomic data from the large lung cancer cohort, a dozen novel genes with oncogenic potential are discovered that are upregulated by hypomethylation but overlooked by other quantification methods. These findings increase the understanding of the epigenetic mechanism by which DNA methylation regulates gene expression.
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Affiliation(s)
- Yi Liu
- Key Laboratory of Precision Medicine in Diagnosis and Monitoring Research of Zhejiang ProvinceDepartment of Respiratory Medicine, Department of Clinical LaboratorySir Run Run Shaw Hospital and Institute of Translational MedicineZhejiang University School of MedicineHangzhouZhejiang310016China
- Institute of BioinformaticsZhejiang UniversityHangzhou310058China
| | - Jiani Yi
- Key Laboratory of Precision Medicine in Diagnosis and Monitoring Research of Zhejiang ProvinceDepartment of Respiratory Medicine, Department of Clinical LaboratorySir Run Run Shaw Hospital and Institute of Translational MedicineZhejiang University School of MedicineHangzhouZhejiang310016China
| | - Pin Wu
- Department of Thoracic SurgeryThe Second Affiliated HospitalZhejiang University School of MedicineZhejiang UniversityHangzhou310009China
| | - Jun Zhang
- Key Laboratory of Precision Medicine in Diagnosis and Monitoring Research of Zhejiang ProvinceDepartment of Respiratory Medicine, Department of Clinical LaboratorySir Run Run Shaw Hospital and Institute of Translational MedicineZhejiang University School of MedicineHangzhouZhejiang310016China
| | - Xufan Li
- Key Laboratory of Precision Medicine in Diagnosis and Monitoring Research of Zhejiang ProvinceDepartment of Respiratory Medicine, Department of Clinical LaboratorySir Run Run Shaw Hospital and Institute of Translational MedicineZhejiang University School of MedicineHangzhouZhejiang310016China
| | - Jia Li
- Key Laboratory of Precision Medicine in Diagnosis and Monitoring Research of Zhejiang ProvinceDepartment of Respiratory Medicine, Department of Clinical LaboratorySir Run Run Shaw Hospital and Institute of Translational MedicineZhejiang University School of MedicineHangzhouZhejiang310016China
| | - Liyuan Zhou
- Key Laboratory of Precision Medicine in Diagnosis and Monitoring Research of Zhejiang ProvinceDepartment of Respiratory Medicine, Department of Clinical LaboratorySir Run Run Shaw Hospital and Institute of Translational MedicineZhejiang University School of MedicineHangzhouZhejiang310016China
- Institute of BioinformaticsZhejiang UniversityHangzhou310058China
| | - Yong Liu
- Department of PhysiologyThe University of ArizonaTucsonAZ85721USA
| | - Haiming Xu
- Institute of BioinformaticsZhejiang UniversityHangzhou310058China
| | - Enguo Chen
- Key Laboratory of Precision Medicine in Diagnosis and Monitoring Research of Zhejiang ProvinceDepartment of Respiratory Medicine, Department of Clinical LaboratorySir Run Run Shaw Hospital and Institute of Translational MedicineZhejiang University School of MedicineHangzhouZhejiang310016China
| | - Honghe Zhang
- Department of PathologyResearch Unit of Intelligence Classification of Tumor Pathology and Precision TherapyChinese Academy of Medical SciencesZhejiang University School of MedicineHangzhou310058China
| | - Mingyu Liang
- Department of PhysiologyThe University of ArizonaTucsonAZ85721USA
| | - Pengyuan Liu
- Key Laboratory of Precision Medicine in Diagnosis and Monitoring Research of Zhejiang ProvinceDepartment of Respiratory Medicine, Department of Clinical LaboratorySir Run Run Shaw Hospital and Institute of Translational MedicineZhejiang University School of MedicineHangzhouZhejiang310016China
- Department of PhysiologyThe University of ArizonaTucsonAZ85721USA
- Cancer centerZhejiang UniversityHangzhou310058China
| | - Xiaoqing Pan
- Department of MathematicsShanghai Normal UniversityShanghai200233China
| | - Yan Lu
- Cancer centerZhejiang UniversityHangzhou310058China
- Zhejiang Provincial Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological DiseasesDepartment of Gynecologic OncologyWomen's Hospital and Institute of Translational MedicineZhejiang University School of MedicineHangzhouZhejiang310029China
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Hsieh JWA, Lin PY, Wang CT, Lee YJ, Chang P, Lu RJH, Chen PY, Wang CJR. Establishing an optimized ATAC-seq protocol for the maize. FRONTIERS IN PLANT SCIENCE 2024; 15:1370618. [PMID: 38863553 PMCID: PMC11165127 DOI: 10.3389/fpls.2024.1370618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 05/07/2024] [Indexed: 06/13/2024]
Abstract
The advent of next-generation sequencing in crop improvement offers unprecedented insights into the chromatin landscape closely linked to gene activity governing key traits in plant development and adaptation. Particularly in maize, its dynamic chromatin structure is found to collaborate with massive transcriptional variations across tissues and developmental stages, implying intricate regulatory mechanisms, which highlights the importance of integrating chromatin information into breeding strategies for precise gene controls. The depiction of maize chromatin architecture using Assay for Transposase Accessible Chromatin with high-throughput sequencing (ATAC-seq) provides great opportunities to investigate cis-regulatory elements, which is crucial for crop improvement. In this context, we developed an easy-to-implement ATAC-seq protocol for maize with fewer nuclei and simple equipment. We demonstrate a streamlined ATAC-seq protocol with four key steps for maize in which nuclei purification can be achieved without cell sorting and using only a standard bench-top centrifuge. Our protocol, coupled with the bioinformatic analysis, including validation by read length periodicity, key metrics, and correlation with transcript abundance, provides a precise and efficient assessment of the maize chromatin landscape. Beyond its application to maize, our testing design holds the potential to be applied to other crops or other tissues, especially for those with limited size and amount, establishing a robust foundation for chromatin structure studies in diverse crop species.
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Affiliation(s)
- Jo-Wei Allison Hsieh
- Institute of Plant and Microbial Biology, Academia Sinica, Taipei, Taiwan
- Genome and Systems Biology Degree Program, Academia Sinica and National Taiwan University, Taipei, Taiwan
| | - Pei-Yu Lin
- Institute of Plant and Microbial Biology, Academia Sinica, Taipei, Taiwan
| | - Chi-Ting Wang
- Institute of Plant and Microbial Biology, Academia Sinica, Taipei, Taiwan
| | - Yi-Jing Lee
- Institute of Plant and Microbial Biology, Academia Sinica, Taipei, Taiwan
| | - Pearl Chang
- Institute of Plant and Microbial Biology, Academia Sinica, Taipei, Taiwan
- Department of Tropical Agriculture and International Cooperation/Department of Biological Science and Technology, National Pingtung University of Science and Technology, Pingtung, Taiwan
| | - Rita Jui-Hsien Lu
- Institute of Plant and Microbial Biology, Academia Sinica, Taipei, Taiwan
| | - Pao-Yang Chen
- Institute of Plant and Microbial Biology, Academia Sinica, Taipei, Taiwan
- Genome and Systems Biology Degree Program, Academia Sinica and National Taiwan University, Taipei, Taiwan
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Duardo RC, Marinello J, Russo M, Morelli S, Pepe S, Guerra F, Gómez-González B, Aguilera A, Capranico G. Human DNA topoisomerase I poisoning causes R loop-mediated genome instability attenuated by transcription factor IIS. SCIENCE ADVANCES 2024; 10:eadm8196. [PMID: 38787953 PMCID: PMC11122683 DOI: 10.1126/sciadv.adm8196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 04/18/2024] [Indexed: 05/26/2024]
Abstract
DNA topoisomerase I can contribute to cancer genome instability. During catalytic activity, topoisomerase I forms a transient intermediate, topoisomerase I-DNA cleavage complex (Top1cc) to allow strand rotation and duplex relaxation, which can lead to elevated levels of DNA-RNA hybrids and micronuclei. To comprehend the underlying mechanisms, we have integrated genomic data of Top1cc-triggered hybrids and DNA double-strand breaks (DSBs) shortly after Top1cc induction, revealing that Top1ccs increase hybrid levels with different mechanisms. DSBs are at highly transcribed genes in early replicating initiation zones and overlap with hybrids downstream of accumulated RNA polymerase II (RNAPII) at gene 5'-ends. A transcription factor IIS mutant impairing transcription elongation further increased RNAPII accumulation likely due to backtracking. Moreover, Top1ccs can trigger micronuclei when occurring during late G1 or early/mid S, but not during late S. As micronuclei and transcription-replication conflicts are attenuated by transcription factor IIS, our results support a role of RNAPII arrest in Top1cc-induced transcription-replication conflicts leading to DSBs and micronuclei.
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Affiliation(s)
- Renée C. Duardo
- Department of Pharmacy and Biotechnology, Alma Mater Studiorum–University of Bologna, via Selmi 3, 40126, Bologna, Italy
| | - Jessica Marinello
- Department of Pharmacy and Biotechnology, Alma Mater Studiorum–University of Bologna, via Selmi 3, 40126, Bologna, Italy
| | - Marco Russo
- Department of Pharmacy and Biotechnology, Alma Mater Studiorum–University of Bologna, via Selmi 3, 40126, Bologna, Italy
| | - Sara Morelli
- Department of Pharmacy and Biotechnology, Alma Mater Studiorum–University of Bologna, via Selmi 3, 40126, Bologna, Italy
| | - Simona Pepe
- Department of Pharmacy and Biotechnology, Alma Mater Studiorum–University of Bologna, via Selmi 3, 40126, Bologna, Italy
| | - Federico Guerra
- Department of Pharmacy and Biotechnology, Alma Mater Studiorum–University of Bologna, via Selmi 3, 40126, Bologna, Italy
| | - Belén Gómez-González
- Centro Andaluz de Biología Molecular y Medicina Regenerativa—CABIMER, Universidad de Sevilla–CSIC, Calle Américo Vespucio 24, 41092 Seville, Spain
- Departamento de Genetica, Facultad de Biología, Universidad de Sevilla, 41012 Seville, Spain
| | - Andrés Aguilera
- Centro Andaluz de Biología Molecular y Medicina Regenerativa—CABIMER, Universidad de Sevilla–CSIC, Calle Américo Vespucio 24, 41092 Seville, Spain
- Departamento de Genetica, Facultad de Biología, Universidad de Sevilla, 41012 Seville, Spain
| | - Giovanni Capranico
- Department of Pharmacy and Biotechnology, Alma Mater Studiorum–University of Bologna, via Selmi 3, 40126, Bologna, Italy
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Truong T, Martin K, Salemi M, Ray A, Phinney BS, Penn BH. The balance between antiviral and antibacterial responses during M. tuberculosis infection is regulated by the ubiquitin ligase CBL. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.15.594178. [PMID: 38798543 PMCID: PMC11118416 DOI: 10.1101/2024.05.15.594178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
As a first line of host defense, macrophages must be able to effectively sense and respond to diverse types of pathogens, and while a particular type of immune response may be beneficial in some circumstances, it can be detrimental in others. Upon infecting a macrophage, M. tuberculosis (Mtb) induces proinflammatory cytokines that activate antibacterial responses. Surprisingly, Mtb also triggers antiviral responses that actually hinder the ability of macrophages to control Mtb infection. The ubiquitin ligase CBL suppresses these antiviral responses and shifts macrophages toward a more antibacterial state during Mtb infection, however, the mechanisms by which CBL regulates immune signaling are unknown. We found that CBL controls responses to multiple stimuli and broadly suppresses the expression of antiviral effector genes. We then used mass-spectrometry to investigate potential CBL substrates and identified over 46,000 ubiquitylated peptides in Mtb-infected macrophages, as well as roughly 400 peptides with CBL-dependent ubiquitylation. We then performed genetic interaction analysis of CBL and its putative substrates, and identified the Fas associated factor 2 (FAF2) adapter protein as a key signaling molecule protein downstream of CBL. Together, these analyses identify thousands of new ubiquitin-mediated signaling events during the innate immune response and reveal an important new regulatory hub in this response.
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Affiliation(s)
- Tina Truong
- Department of Internal Medicine, University of California, Davis, Davis, California, United States of America
- Graduate Group in Immunology, University of California, Davis, Davis, California, United States of America
| | - Kelsey Martin
- Department of Internal Medicine, University of California, Davis, Davis, California, United States of America
| | - Michelle Salemi
- Proteomics Core Facility, University of California, Davis, Davis, California, United States of America
| | - Abigail Ray
- Department of Internal Medicine, University of California, Davis, Davis, California, United States of America
- Microbiology Graduate Group, University of California, Davis, Davis, California, United States of America
| | - Brett S. Phinney
- Proteomics Core Facility, University of California, Davis, Davis, California, United States of America
| | - Bennett H. Penn
- Department of Internal Medicine, University of California, Davis, Davis, California, United States of America
- Department of Medical Microbiology and Immunology, University of California, Davis, Davis, California, United States of America
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Biot M, Toth A, Brun C, Guichard L, de Massy B, Grey C. Principles of chromosome organization for meiotic recombination. Mol Cell 2024; 84:1826-1841.e5. [PMID: 38657614 DOI: 10.1016/j.molcel.2024.04.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 03/01/2024] [Accepted: 04/02/2024] [Indexed: 04/26/2024]
Abstract
In meiotic cells, chromosomes are organized as chromatin loop arrays anchored to a protein axis. This organization is essential to regulate meiotic recombination, from DNA double-strand break (DSB) formation to their repair. In mammals, it is unknown how chromatin loops are organized along the genome and how proteins participating in DSB formation are tethered to the chromosome axes. Here, we identify three categories of axis-associated genomic sites: PRDM9 binding sites, where DSBs form; binding sites of the insulator protein CTCF; and H3K4me3-enriched sites. We demonstrate that PRDM9 promotes the recruitment of MEI4 and IHO1, two proteins essential for DSB formation. In turn, IHO1 anchors DSB sites to the axis components HORMAD1 and SYCP3. We discovered that IHO1, HORMAD1, and SYCP3 are associated at the DSB ends during DSB repair. Our results highlight how interactions of proteins with specific genomic elements shape the meiotic chromosome organization for recombination.
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Affiliation(s)
- Mathilde Biot
- Institute of Human Genetics, University of Montpellier, CNRS, Montpellier, France
| | - Attila Toth
- Institute of Physiological Chemistry, Faculty of Medicine at the TU Dresden, Dresden, Germany
| | - Christine Brun
- Institute of Human Genetics, University of Montpellier, CNRS, Montpellier, France
| | - Leon Guichard
- Institute of Human Genetics, University of Montpellier, CNRS, Montpellier, France
| | - Bernard de Massy
- Institute of Human Genetics, University of Montpellier, CNRS, Montpellier, France.
| | - Corinne Grey
- Institute of Human Genetics, University of Montpellier, CNRS, Montpellier, France.
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33
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Joosten SEP, Gregoricchio S, Stelloo S, Yapıcı E, Huang CCF, Yavuz K, Donaldson Collier M, Morova T, Altintaş UB, Kim Y, Canisius S, Moelans CB, van Diest PJ, Korkmaz G, Lack NA, Vermeulen M, Linn SC, Zwart W. Estrogen receptor 1 chromatin profiling in human breast tumors reveals high inter-patient heterogeneity with enrichment of risk SNPs and enhancer activity at most-conserved regions. Genome Res 2024; 34:539-555. [PMID: 38719469 PMCID: PMC11146591 DOI: 10.1101/gr.278680.123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 04/11/2024] [Indexed: 06/05/2024]
Abstract
Estrogen Receptor 1 (ESR1; also known as ERα, encoded by ESR1 gene) is the main driver and prime drug target in luminal breast cancer. ESR1 chromatin binding is extensively studied in cell lines and a limited number of human tumors, using consensi of peaks shared among samples. However, little is known about inter-tumor heterogeneity of ESR1 chromatin action, along with its biological implications. Here, we use a large set of ESR1 ChIP-seq data from 70 ESR1+ breast cancers to explore inter-patient heterogeneity in ESR1 DNA binding to reveal a striking inter-tumor heterogeneity of ESR1 action. Of note, commonly shared ESR1 sites show the highest estrogen-driven enhancer activity and are most engaged in long-range chromatin interactions. In addition, the most commonly shared ESR1-occupied enhancers are enriched for breast cancer risk SNP loci. We experimentally confirm SNVs to impact chromatin binding potential for ESR1 and its pioneer factor FOXA1. Finally, in the TCGA breast cancer cohort, we can confirm these variations to associate with differences in expression for the target gene. Cumulatively, we reveal a natural hierarchy of ESR1-chromatin interactions in breast cancers within a highly heterogeneous inter-tumor ESR1 landscape, with the most common shared regions being most active and affected by germline functional risk SNPs for breast cancer development.
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Affiliation(s)
- Stacey E P Joosten
- Division of Oncogenomics, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands
- Oncode Institute, The Netherlands
| | - Sebastian Gregoricchio
- Division of Oncogenomics, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands
- Oncode Institute, The Netherlands
| | - Suzan Stelloo
- Oncode Institute, The Netherlands
- Department of Molecular Biology, Faculty of Science, Radboud Institute for Molecular Life Sciences, Radboud University Nijmegen, 6500HB Nijmegen, The Netherlands
| | - Elif Yapıcı
- Koç University School of Medicine, 34450 Istanbul, Turkey
- Koç University Research Center for Translational Medicine (KUTTAM), 34450 Istanbul, Turkey
| | - Chia-Chi Flora Huang
- Vancouver Prostate Centre, University of British Columbia, Vancouver, British Columbia, V6H 3Z6 Canada
| | - Kerim Yavuz
- Vancouver Prostate Centre, University of British Columbia, Vancouver, British Columbia, V6H 3Z6 Canada
| | - Maria Donaldson Collier
- Division of Oncogenomics, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands
- Oncode Institute, The Netherlands
| | - Tunç Morova
- Vancouver Prostate Centre, University of British Columbia, Vancouver, British Columbia, V6H 3Z6 Canada
| | - Umut Berkay Altintaş
- Vancouver Prostate Centre, University of British Columbia, Vancouver, British Columbia, V6H 3Z6 Canada
| | - Yongsoo Kim
- Department of Pathology, Amsterdam University Medical Center, Cancer Center Amsterdam, 1081 HV Amsterdam, The Netherlands
| | - Sander Canisius
- Division of Molecular Pathology, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands
- Division of Molecular Carcinogenesis, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands
| | - Cathy B Moelans
- Department of Pathology, Utrecht University Medical Centre, 3584 CX Utrecht, The Netherlands
| | - Paul J van Diest
- Department of Pathology, Utrecht University Medical Centre, 3584 CX Utrecht, The Netherlands
| | - Gozde Korkmaz
- Koç University School of Medicine, 34450 Istanbul, Turkey
- Koç University Research Center for Translational Medicine (KUTTAM), 34450 Istanbul, Turkey
| | - Nathan A Lack
- Koç University School of Medicine, 34450 Istanbul, Turkey
- Koç University Research Center for Translational Medicine (KUTTAM), 34450 Istanbul, Turkey
- Vancouver Prostate Centre, University of British Columbia, Vancouver, British Columbia, V6H 3Z6 Canada
| | - Michiel Vermeulen
- Oncode Institute, The Netherlands
- Department of Molecular Biology, Faculty of Science, Radboud Institute for Molecular Life Sciences, Radboud University Nijmegen, 6500HB Nijmegen, The Netherlands
- Division of Molecular Genetics, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands
| | - Sabine C Linn
- Division of Molecular Pathology, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands
- Department of Pathology, Utrecht University Medical Centre, 3584 CX Utrecht, The Netherlands
- Department of Medical Oncology, Antoni van Leeuwenhoek Hospital, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands
| | - Wilbert Zwart
- Division of Oncogenomics, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands;
- Oncode Institute, The Netherlands
- Department of Biomedical Engineering, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
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34
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Piatek P, Namiecinska M, Lewkowicz N, Kulińska-Michalska M, Jabłonowski Z, Matysiak M, Michlewska S, Wieczorek M, Lewkowicz P. Histone H3 posttranslational modified enzymes defined neutrophil plasticity and their vulnerability to IL-10 in the course of the inflammation. J Inflamm (Lond) 2024; 21:16. [PMID: 38745328 PMCID: PMC11095086 DOI: 10.1186/s12950-024-00389-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 05/02/2024] [Indexed: 05/16/2024] Open
Abstract
BACKGROUND Neutrophils are a heterogeneous population capable of antimicrobial functions associated with pre-activation/activation and tissue regeneration. The specific polarisation of immune cells is mediated by the modification of 'chromatin landscapes', which enables differentiated access and activity of regulatory elements that guarantee their plasticity during inflammation No specific pattern within histone posttranslational modifications (PTMs) controlling this plasticity has been identified. METHODS Using the in vitro model of inflammation, reflecting different states of neutrophils from resting, pre-activated cells to activated and reducing tissue regeneration, we have analysed 11 different histone posttranslational modifications (PTMs), PTM enzymes associated with remodelling neutrophil chromatin, and H3K4me3 ChIP-Seq Gene Ontology analysis focusing on the processes related to histone PTMs. These findings were verified by extrapolation to adequate clinical status, using neutrophils derived from the patients with sepsis (systemic septic inflammation with LPS-stimulated neutrophils), neuromyelitis optical spectrum disorders (aseptic inflammation with pre-activated neutrophils) and periodontitis (local self-limiting septic inflammation with IL-10-positive neutrophils). RESULTS Physiological activation of neutrophils comprises a pre-activation characterised by histone H3K27ac and H3K4me1, which position enhancers; direct LPS exposure is induced explicitly by H3K4me3 which marked Transcription Start Site (TSS) regions and low-level of H3K9me3, H3K79me2 and H3K27me3 which, in turn, marked repressed genes. Contrary to antimicrobial action, IL-10 positively induced levels of H3S10p and negatively H3K9me3, which characterised processes related to the activation of genes within heterochromatin mediated by CHD1 and H3K9me3 specific demethylase JMJD2A. IL-10 protects changes within histone PTMs induced by TNF or LPS that affected H3K4me3-specific methyltransferase SETD1A and MLL1. Neutrophils previously exposed to inflammatory factors become unvulnerable to IL-10 because previous LPS stimulation interrupts TSS regions marked by H3K4me3 of CHD1 and JMJD2A genes. Therefore, LPS-activated neutrophils are disabled to induce CHD1/JMJD2A enzymes by IL-10, making this process irreversible. Because transcription of JMJD2A and CHD1 also depends on TSS positioning by H3K4me3, neutrophils before LPS stimulation become insensitive to IL-10. CONCLUSION Neutrophils, once pre-activated by TNF or directly stimulated by LPS, become insensitive to the anti-inflammatory effects of IL-10, and vice versa; IL-10 protects neutrophils against these proinflammatory stimuli. This phenomenon is responsible for disturbing the natural process of resolving inflammation and tissue regeneration.
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Affiliation(s)
- Paweł Piatek
- Department of Immunogenetics, Medical University of Lodz, ul. Pomorska 251/A4, 92- 213, Lodz, Poland
| | - Magdalena Namiecinska
- Department of Immunogenetics, Medical University of Lodz, ul. Pomorska 251/A4, 92- 213, Lodz, Poland
| | - Natalia Lewkowicz
- Department of Periodontology and Oral Mucosal Diseases, Medical University of Lodz, 90-419, Lodz, Poland
| | | | | | - Mariola Matysiak
- Department of Neurology, Medical University of Lodz, 90-153, Lodz, Poland
| | - Sylwia Michlewska
- Laboratory of Microscopic Imaging and Specialized Biological Techniques, Faculty of Biology and Environmental Protection, University of Lodz, 90-237, Lodz, Poland
| | - Marek Wieczorek
- Department of Neurobiology, Faculty of Biology and Environmental Protection, University of Lodz, 90-236, Lodz, Poland
| | - Przemysław Lewkowicz
- Department of Immunogenetics, Medical University of Lodz, ul. Pomorska 251/A4, 92- 213, Lodz, Poland.
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35
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Almeida da Paz M, Warger S, Taher L. Disregarding multimappers leads to biases in the functional assessment of NGS data. BMC Genomics 2024; 25:455. [PMID: 38720252 PMCID: PMC11078754 DOI: 10.1186/s12864-024-10344-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Accepted: 04/24/2024] [Indexed: 05/12/2024] Open
Abstract
BACKGROUND Standard ChIP-seq and RNA-seq processing pipelines typically disregard sequencing reads whose origin is ambiguous ("multimappers"). This usual practice has potentially important consequences for the functional interpretation of the data: genomic elements belonging to clusters composed of highly similar members are left unexplored. RESULTS In particular, disregarding multimappers leads to the underrepresentation in epigenetic studies of recently active transposable elements, such as AluYa5, L1HS and SVAs. Furthermore, this common strategy also has implications for transcriptomic analysis: members of repetitive gene families, such the ones including major histocompatibility complex (MHC) class I and II genes, are under-quantified. CONCLUSION Revealing inherent biases that permeate routine tasks such as functional enrichment analysis, our results underscore the urgency of broadly adopting multimapper-aware bioinformatic pipelines -currently restricted to specific contexts or communities- to ensure the reliability of genomic and transcriptomic studies.
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Affiliation(s)
| | - Sarah Warger
- Institute of Biomedical Informatics, Graz University of Technology, Graz, Austria
| | - Leila Taher
- Institute of Biomedical Informatics, Graz University of Technology, Graz, Austria.
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36
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Deng D, Guo Y, Guo L, Li C, Nie Y, Wang S, Wu W. Functional Divergence in Orthologous Transcription Factors: Insights from AtCBF2/3/1 and OsDREB1C. Mol Biol Evol 2024; 41:msae089. [PMID: 38723179 PMCID: PMC11119335 DOI: 10.1093/molbev/msae089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2024] [Revised: 04/19/2024] [Accepted: 05/06/2024] [Indexed: 05/25/2024] Open
Abstract
Despite traditional beliefs of orthologous genes maintaining similar functions across species, growing evidence points to their potential for functional divergence. C-repeat binding factors/dehydration-responsive element binding protein 1s (CBFs/DREB1s) are critical in cold acclimation, with their overexpression enhancing stress tolerance but often constraining plant growth. In contrast, a recent study unveiled a distinctive role of rice OsDREB1C in elevating nitrogen use efficiency (NUE), photosynthesis, and grain yield, implying functional divergence within the CBF/DREB1 orthologs across species. Here, we delve into divergent molecular mechanisms of OsDREB1C and AtCBF2/3/1 by exploring their evolutionary trajectories across rice and Arabidopsis genomes, regulatomes, and transcriptomes. Evolutionary scrutiny shows discrete clades for OsDREB1C and AtCBF2/3/1, with the Poaceae-specific DREB1C clade mediated by a transposon event. Genome-wide binding profiles highlight OsDREB1C's preference for GCCGAC compared to AtCBF2/3/1's preference for A/GCCGAC, a distinction determined by R12 in the OsDREB1C AP2/ERF domain. Cross-species multiomic analyses reveal shared gene orthogroups (OGs) and underscore numerous specific OGs uniquely bound and regulated by OsDREB1C, implicated in NUE, photosynthesis, and early flowering, or by AtCBF2/3/1, engaged in hormone and stress responses. This divergence arises from gene gains/losses (∼16.7% to 25.6%) and expression reprogramming (∼62.3% to 66.2%) of OsDREB1C- and AtCBF2/3/1-regulated OGs during the extensive evolution following the rice-Arabidopsis split. Our findings illustrate the regulatory evolution of OsDREB1C and AtCBF2/3/1 at a genomic scale, providing insights on the functional divergence of orthologous transcription factors following gene duplications across species.
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Affiliation(s)
- Deyin Deng
- State Key Laboratory of Subtropical Silviculture, College of Forestry and Biotechnology, Zhejiang A&F University, Hangzhou 311300, China
| | - Yixin Guo
- State Key Laboratory of Subtropical Silviculture, College of Forestry and Biotechnology, Zhejiang A&F University, Hangzhou 311300, China
| | - Liangyu Guo
- State Key Laboratory of Subtropical Silviculture, College of Forestry and Biotechnology, Zhejiang A&F University, Hangzhou 311300, China
| | - Chengyang Li
- State Key Laboratory of Subtropical Silviculture, College of Forestry and Biotechnology, Zhejiang A&F University, Hangzhou 311300, China
| | - Yuqi Nie
- State Key Laboratory of Subtropical Silviculture, College of Forestry and Biotechnology, Zhejiang A&F University, Hangzhou 311300, China
| | - Shuo Wang
- State Key Laboratory of Subtropical Silviculture, College of Forestry and Biotechnology, Zhejiang A&F University, Hangzhou 311300, China
| | - Wenwu Wu
- State Key Laboratory of Subtropical Silviculture, College of Forestry and Biotechnology, Zhejiang A&F University, Hangzhou 311300, China
- Zhejiang International Science and Technology Cooperation Base for Plant Germplasm Resources Conservation and Utilization, Zhejiang A&F University, Hangzhou 311300, China
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37
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Hu G, Grover CE, Vera DL, Lung PY, Girimurugan SB, Miller ER, Conover JL, Ou S, Xiong X, Zhu D, Li D, Gallagher JP, Udall JA, Sui X, Zhang J, Bass HW, Wendel JF. Evolutionary Dynamics of Chromatin Structure and Duplicate Gene Expression in Diploid and Allopolyploid Cotton. Mol Biol Evol 2024; 41:msae095. [PMID: 38758089 PMCID: PMC11140268 DOI: 10.1093/molbev/msae095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 04/10/2024] [Accepted: 05/10/2024] [Indexed: 05/18/2024] Open
Abstract
Polyploidy is a prominent mechanism of plant speciation and adaptation, yet the mechanistic understandings of duplicated gene regulation remain elusive. Chromatin structure dynamics are suggested to govern gene regulatory control. Here, we characterized genome-wide nucleosome organization and chromatin accessibility in allotetraploid cotton, Gossypium hirsutum (AADD, 2n = 4X = 52), relative to its two diploid parents (AA or DD genome) and their synthetic diploid hybrid (AD), using DNS-seq. The larger A-genome exhibited wider average nucleosome spacing in diploids, and this intergenomic difference diminished in the allopolyploid but not hybrid. Allopolyploidization also exhibited increased accessibility at promoters genome-wide and synchronized cis-regulatory motifs between subgenomes. A prominent cis-acting control was inferred for chromatin dynamics and demonstrated by transposable element removal from promoters. Linking accessibility to gene expression patterns, we found distinct regulatory effects for hybridization and later allopolyploid stages, including nuanced establishment of homoeolog expression bias and expression level dominance. Histone gene expression and nucleosome organization are coordinated through chromatin accessibility. Our study demonstrates the capability to track high-resolution chromatin structure dynamics and reveals their role in the evolution of cis-regulatory landscapes and duplicate gene expression in polyploids, illuminating regulatory ties to subgenomic asymmetry and dominance.
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Affiliation(s)
- Guanjing Hu
- State Key Laboratory of Cotton Bio-breeding and Integrated, Chinese Academy of Agricultural Sciences, Institute of Cotton Research, Anyang 455000, China
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Chinese Academy of Agricultural Sciences, Agricultural Genomics Institute at Shenzhen, Shenzhen 518120, China
| | - Corrinne E Grover
- Department of Ecology, Evolution and Organismal Biology, Iowa State University, Ames, IA 50011, USA
| | - Daniel L Vera
- Department of Biological Science, Florida State University, Tallahassee, FL 32306, USA
| | - Pei-Yau Lung
- Department of Statistics, Florida State University, Tallahassee, FL 32306, USA
| | | | - Emma R Miller
- Department of Ecology, Evolution and Organismal Biology, Iowa State University, Ames, IA 50011, USA
| | - Justin L Conover
- Department of Ecology, Evolution and Organismal Biology, Iowa State University, Ames, IA 50011, USA
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721, USA
- Department of Molecular and Cellular Biology, University of Arizona, Tucson, AZ 85721, USA
| | - Shujun Ou
- Department of Molecular Genetics, Ohio State University, Columbus, OH 43210, USA
| | - Xianpeng Xiong
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Chinese Academy of Agricultural Sciences, Agricultural Genomics Institute at Shenzhen, Shenzhen 518120, China
| | - De Zhu
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Chinese Academy of Agricultural Sciences, Agricultural Genomics Institute at Shenzhen, Shenzhen 518120, China
| | - Dongming Li
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Chinese Academy of Agricultural Sciences, Agricultural Genomics Institute at Shenzhen, Shenzhen 518120, China
- Zhengzhou Research Base, State Key Laboratory of Cotton Biology, School of Agricultural Sciences, Zhengzhou University, Zhengzhou 450000, China
| | - Joseph P Gallagher
- Forage Seed and Cereal Research Unit, USDA/Agricultural Research Service, Corvallis, OR 97331, USA
| | - Joshua A Udall
- Crop Germplasm Research Unit, USDA/Agricultural Research Service, College Station, TX 77845, USA
| | - Xin Sui
- Department of Statistics, Florida State University, Tallahassee, FL 32306, USA
| | - Jinfeng Zhang
- Department of Statistics, Florida State University, Tallahassee, FL 32306, USA
| | - Hank W Bass
- Department of Biological Science, Florida State University, Tallahassee, FL 32306, USA
| | - Jonathan F Wendel
- Department of Ecology, Evolution and Organismal Biology, Iowa State University, Ames, IA 50011, USA
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James DW, Quintela M, Lucini L, Alkafri NK, Healey GD, Younas K, Bunkheila A, Margarit L, Francis LW, Gonzalez D, Conlan RS. Homeobox regulator Wilms Tumour 1 is displaced by androgen receptor at cis-regulatory elements in the endometrium of PCOS patients. Front Endocrinol (Lausanne) 2024; 15:1368494. [PMID: 38745948 PMCID: PMC11091321 DOI: 10.3389/fendo.2024.1368494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Accepted: 04/08/2024] [Indexed: 05/16/2024] Open
Abstract
Decidualisation, the process whereby endometrial stromal cells undergo morphological and functional transformation in preparation for trophoblast invasion, is often disrupted in women with polycystic ovary syndrome (PCOS) resulting in complications with pregnancy and/or infertility. The transcription factor Wilms tumour suppressor 1 (WT1) is a key regulator of the decidualization process, which is reduced in patients with PCOS, a complex condition characterized by increased expression of androgen receptor in endometrial cells and high presence of circulating androgens. Using genome-wide chromatin immunoprecipitation approaches on primary human endometrial stromal cells, we identify key genes regulated by WT1 during decidualization, including homeobox transcription factors which are important for regulating cell differentiation. Furthermore, we found that AR in PCOS patients binds to the same DNA regions as WT1 in samples from healthy endometrium, suggesting dysregulation of genes important to decidualisation pathways in PCOS endometrium due to competitive binding between WT1 and AR. Integrating RNA-seq and H3K4me3 and H3K27ac ChIP-seq metadata with our WT1/AR data, we identified a number of key genes involved in immune response and angiogenesis pathways that are dysregulated in PCOS patients. This is likely due to epigenetic alterations at distal enhancer regions allowing AR to recruit cofactors such as MAGEA11, and demonstrates the consequences of AR disruption of WT1 in PCOS endometrium.
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Affiliation(s)
- David W. James
- Swansea University Medical School, Swansea, United Kingdom
| | | | - Lisa Lucini
- Swansea University Medical School, Swansea, United Kingdom
| | | | | | - Kinza Younas
- Swansea University Medical School, Swansea, United Kingdom
- Swansea Bay University Health Board, Swansea, United Kingdom
| | - Adnan Bunkheila
- Swansea University Medical School, Swansea, United Kingdom
- Swansea Bay University Health Board, Swansea, United Kingdom
| | - Lavinia Margarit
- Swansea University Medical School, Swansea, United Kingdom
- Cwm Taf Morgannwg University Health Board, Bridgend, United Kingdom
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39
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Foroozandeh Shahraki M, Farahbod M, Libbrecht MW. Robust chromatin state annotation. Genome Res 2024; 34:469-483. [PMID: 38514204 PMCID: PMC11067878 DOI: 10.1101/gr.278343.123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Accepted: 03/19/2024] [Indexed: 03/23/2024]
Abstract
With the goal of mapping genomic activity, international projects have recently measured epigenetic activity in hundreds of cell and tissue types. Chromatin state annotations produced by segmentation and genome annotation (SAGA) methods have emerged as the predominant way to summarize these epigenomic data sets in order to annotate the genome. These chromatin state annotations are essential for many genomic tasks, including identifying active regulatory elements and interpreting disease-associated genetic variation. However, despite the widespread applications of SAGA methods, no principled approach exists to evaluate the statistical significance of chromatin state assignments. Here, we propose the first method for assigning calibrated confidence scores to chromatin state annotations. Toward this goal, we performed a comprehensive evaluation of the reproducibility of the two most widely used existing SAGA methods, ChromHMM and Segway. We found that their predictions are frequently irreproducible. For example, when applying the same SAGA method on two sets of experimental replicates, 27%-69% of predicted enhancers fail to replicate. This suggests that a substantial fraction of predicted elements in existing chromatin state annotations cannot be relied upon. To remedy this problem, we introduce SAGAconf, a method for assigning a measure of confidence (r-value) to chromatin state annotations. SAGAconf works with any SAGA method and assigns an r-value to each genomic bin of a chromatin state annotation that represents the probability that the label of this bin will be reproduced in a replicated experiment. Thus, SAGAconf allows a researcher to select only the reliable predictions from a chromatin annotation for use in downstream analyses.
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Affiliation(s)
| | - Marjan Farahbod
- School of Computing Science, Simon Fraser University, Burnaby, British Columbia V51 1S6, Canada
| | - Maxwell W Libbrecht
- School of Computing Science, Simon Fraser University, Burnaby, British Columbia V51 1S6, Canada
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40
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Nordin A, Pagella P, Zambanini G, Cantù C. Exhaustive identification of genome-wide binding events of transcriptional regulators. Nucleic Acids Res 2024; 52:e40. [PMID: 38499482 PMCID: PMC11040144 DOI: 10.1093/nar/gkae180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 02/20/2024] [Accepted: 02/29/2024] [Indexed: 03/20/2024] Open
Abstract
Genome-wide binding assays aspire to map the complete binding pattern of gene regulators. Common practice relies on replication-duplicates or triplicates-and high stringency statistics to favor false negatives over false positives. Here we show that duplicates and triplicates of CUT&RUN are not sufficient to discover the entire activity of transcriptional regulators. We introduce ICEBERG (Increased Capture of Enrichment By Exhaustive Replicate aGgregation), a pipeline that harnesses large numbers of CUT&RUN replicates to discover the full set of binding events and chart the line between false positives and false negatives. We employed ICEBERG to map the full set of H3K4me3-marked regions, the targets of the co-factor β-catenin, and those of the transcription factor TBX3, in human colorectal cancer cells. The ICEBERG datasets allow benchmarking of individual replicates, comparing the performance of peak calling and replication approaches, and expose the arbitrary nature of strategies to identify reproducible peaks. Instead of a static view of genomic targets, ICEBERG establishes a spectrum of detection probabilities across the genome for a given factor, underlying the intrinsic dynamicity of its mechanism of action, and permitting to distinguish frequent from rare regulation events. Finally, ICEBERG discovered instances, undetectable with other approaches, that underlie novel mechanisms of colorectal cancer progression.
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Affiliation(s)
- Anna Nordin
- Wallenberg Centre for Molecular Medicine, Linköping University, Linköping, Sweden
- Department of Biomedical and Clinical Sciences, Division of Molecular Medicine and Virology, Faculty of Medicine and Health Sciences, Linköping University, Linköping, Sweden
| | - Pierfrancesco Pagella
- Wallenberg Centre for Molecular Medicine, Linköping University, Linköping, Sweden
- Department of Biomedical and Clinical Sciences, Division of Molecular Medicine and Virology, Faculty of Medicine and Health Sciences, Linköping University, Linköping, Sweden
| | - Gianluca Zambanini
- Wallenberg Centre for Molecular Medicine, Linköping University, Linköping, Sweden
- Department of Biomedical and Clinical Sciences, Division of Molecular Medicine and Virology, Faculty of Medicine and Health Sciences, Linköping University, Linköping, Sweden
| | - Claudio Cantù
- Wallenberg Centre for Molecular Medicine, Linköping University, Linköping, Sweden
- Department of Biomedical and Clinical Sciences, Division of Molecular Medicine and Virology, Faculty of Medicine and Health Sciences, Linköping University, Linköping, Sweden
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41
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Baudic M, Murata H, Bosada FM, Melo US, Aizawa T, Lindenbaum P, van der Maarel LE, Guedon A, Baron E, Fremy E, Foucal A, Ishikawa T, Ushinohama H, Jurgens SJ, Choi SH, Kyndt F, Le Scouarnec S, Wakker V, Thollet A, Rajalu A, Takaki T, Ohno S, Shimizu W, Horie M, Kimura T, Ellinor PT, Petit F, Dulac Y, Bru P, Boland A, Deleuze JF, Redon R, Le Marec H, Le Tourneau T, Gourraud JB, Yoshida Y, Makita N, Vieyres C, Makiyama T, Mundlos S, Christoffels VM, Probst V, Schott JJ, Barc J. TAD boundary deletion causes PITX2-related cardiac electrical and structural defects. Nat Commun 2024; 15:3380. [PMID: 38643172 PMCID: PMC11032321 DOI: 10.1038/s41467-024-47739-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 04/08/2024] [Indexed: 04/22/2024] Open
Abstract
While 3D chromatin organization in topologically associating domains (TADs) and loops mediating regulatory element-promoter interactions is crucial for tissue-specific gene regulation, the extent of their involvement in human Mendelian disease is largely unknown. Here, we identify 7 families presenting a new cardiac entity associated with a heterozygous deletion of 2 CTCF binding sites on 4q25, inducing TAD fusion and chromatin conformation remodeling. The CTCF binding sites are located in a gene desert at 1 Mb from the Paired-like homeodomain transcription factor 2 gene (PITX2). By introducing the ortholog of the human deletion in the mouse genome, we recapitulate the patient phenotype and characterize an opposite dysregulation of PITX2 expression in the sinoatrial node (ectopic activation) and ventricle (reduction), respectively. Chromatin conformation assay performed in human induced pluripotent stem cell-derived cardiomyocytes harboring the minimal deletion identified in family#1 reveals a conformation remodeling and fusion of TADs. We conclude that TAD remodeling mediated by deletion of CTCF binding sites causes a new autosomal dominant Mendelian cardiac disorder.
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Affiliation(s)
- Manon Baudic
- Nantes Université, CHU Nantes, CNRS, INSERM, l'institut du Thorax, F-44000, Nantes, France
| | - Hiroshige Murata
- The Department of Cardiovascular Medicine, Nippon Medical School Hospital, Tokyo, Japan
| | - Fernanda M Bosada
- Department of Medical Biology, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centers, University of Amsterdam, 1105 AZ, Amsterdam, The Netherlands
| | - Uirá Souto Melo
- Max Planck Institute for Molecular Genetics, RG Development and Disease, 13353, Berlin, Germany
| | - Takanori Aizawa
- Department of Cardiovascular Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Pierre Lindenbaum
- Nantes Université, CHU Nantes, CNRS, INSERM, l'institut du Thorax, F-44000, Nantes, France
| | - Lieve E van der Maarel
- Department of Medical Biology, Amsterdam Cardiovascular Sciences, Amsterdam Reproduction and Development, Amsterdam University Medical Centers, University of Amsterdam, 1105 AZ, Amsterdam, The Netherlands
| | - Amaury Guedon
- Nantes Université, CHU Nantes, CNRS, INSERM, l'institut du Thorax, F-44000, Nantes, France
| | - Estelle Baron
- Nantes Université, CHU Nantes, CNRS, INSERM, l'institut du Thorax, F-44000, Nantes, France
| | - Enora Fremy
- Nantes Université, CHU Nantes, CNRS, INSERM, l'institut du Thorax, F-44000, Nantes, France
| | - Adrien Foucal
- Nantes Université, CHU Nantes, CNRS, INSERM, l'institut du Thorax, F-44000, Nantes, France
| | - Taisuke Ishikawa
- Omics Research Center, National Cerebral and Cardiovascular Center, Suita, Japan
| | - Hiroya Ushinohama
- Department of Cardiology, Fukuoka Children's Hospital, Fukuoka, Japan
| | - Sean J Jurgens
- Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Experimental Cardiology, Heart Center, Amsterdam Cardiovascular Sciences, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands
| | - Seung Hoan Choi
- Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Florence Kyndt
- Nantes Université, CHU Nantes, CNRS, INSERM, l'institut du Thorax, F-44000, Nantes, France
| | - Solena Le Scouarnec
- Nantes Université, CHU Nantes, CNRS, INSERM, l'institut du Thorax, F-44000, Nantes, France
| | - Vincent Wakker
- Department of Medical Biology, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centers, University of Amsterdam, 1105 AZ, Amsterdam, The Netherlands
| | - Aurélie Thollet
- Nantes Université, CHU Nantes, CNRS, INSERM, l'institut du Thorax, F-44000, Nantes, France
| | - Annabelle Rajalu
- Nantes Université, CHU Nantes, CNRS, INSERM, l'institut du Thorax, F-44000, Nantes, France
| | - Tadashi Takaki
- Department of Cell Growth and Differentiation, Center for iPS Cell Research and Application, Kyoto University, Kyoto, Japan
- Takeda-CiRA Joint Program for iPS Cell Applications, Fujisawa, Japan
- Department of Pancreatic Islet Cell Transplantation, National Center for Global Health and Medicine, Tokyo, Japan
| | - Seiko Ohno
- Department of Bioscience and Genetics, National Cerebral and Cardiovascular Center Research Institute, Suita, Japan
| | - Wataru Shimizu
- The Department of Cardiovascular Medicine, Nippon Medical School Hospital, Tokyo, Japan
| | - Minoru Horie
- Department of Cardiovascular Medicine, Shiga University of Medical Science, Ohtsu, Japan
| | - Takeshi Kimura
- Department of Cardiovascular Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Patrick T Ellinor
- Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Demoulas Center for Cardiac Arrhythmias, Massachusetts General Hospital, Boston, MA, USA
| | - Florence Petit
- Service de Génétique Clinique, CHU Lille, Hôpital Jeanne de Flandre, F-59000, Lille, France
- University of Lille, EA 7364-RADEME, F-59000, Lille, France
| | - Yves Dulac
- Unité de Cardiologie Pédiatrique, Hôpital des Enfants, F-31000, Toulouse, France
| | - Paul Bru
- Service de Cardiologie, GH La Rochelle, F-17019, La Rochelle, France
| | - Anne Boland
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine (CNRGH), 91057, Evry, France
| | - Jean-François Deleuze
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine (CNRGH), 91057, Evry, France
| | - Richard Redon
- Nantes Université, CHU Nantes, CNRS, INSERM, l'institut du Thorax, F-44000, Nantes, France
| | - Hervé Le Marec
- Nantes Université, CHU Nantes, CNRS, INSERM, l'institut du Thorax, F-44000, Nantes, France
| | - Thierry Le Tourneau
- Nantes Université, CHU Nantes, CNRS, INSERM, l'institut du Thorax, F-44000, Nantes, France
| | - Jean-Baptiste Gourraud
- Nantes Université, CHU Nantes, CNRS, INSERM, l'institut du Thorax, F-44000, Nantes, France
- European Reference Network for Rare and Low Prevalence Complex Diseases of the Heart: ERN GUARD-Heart, Amsterdam, The Netherlands
| | - Yoshinori Yoshida
- Department of Cell Growth and Differentiation, Center for iPS Cell Research and Application, Kyoto University, Kyoto, Japan
| | - Naomasa Makita
- Omics Research Center, National Cerebral and Cardiovascular Center, Suita, Japan
- Department of Cardiology, Sapporo Teishinkai Hospital, Sapporo, Japan
| | - Claude Vieyres
- Cabinet Cardiologique, Clinique St. Joseph, F-16000, Angoulême, France
| | - Takeru Makiyama
- Department of Cardiovascular Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
- Department of Community Medicine Supporting System, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Stephan Mundlos
- Max Planck Institute for Molecular Genetics, RG Development and Disease, 13353, Berlin, Germany
| | - Vincent M Christoffels
- Department of Medical Biology, Amsterdam Cardiovascular Sciences, Amsterdam Reproduction and Development, Amsterdam University Medical Centers, University of Amsterdam, 1105 AZ, Amsterdam, The Netherlands
| | - Vincent Probst
- Nantes Université, CHU Nantes, CNRS, INSERM, l'institut du Thorax, F-44000, Nantes, France
- European Reference Network for Rare and Low Prevalence Complex Diseases of the Heart: ERN GUARD-Heart, Amsterdam, The Netherlands
| | - Jean-Jacques Schott
- Nantes Université, CHU Nantes, CNRS, INSERM, l'institut du Thorax, F-44000, Nantes, France.
- European Reference Network for Rare and Low Prevalence Complex Diseases of the Heart: ERN GUARD-Heart, Amsterdam, The Netherlands.
| | - Julien Barc
- Nantes Université, CHU Nantes, CNRS, INSERM, l'institut du Thorax, F-44000, Nantes, France.
- European Reference Network for Rare and Low Prevalence Complex Diseases of the Heart: ERN GUARD-Heart, Amsterdam, The Netherlands.
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Tripathy S, Nagari A, Chiu SP, Nandu T, Camacho CV, Mahendroo M, Kraus WL. Relaxin Modulates the Genomic Actions and Biological Effects of Estrogen in the Myometrium by Reducing Estrogen Receptor Alpha Phosphorylation. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.15.589654. [PMID: 38659934 PMCID: PMC11042280 DOI: 10.1101/2024.04.15.589654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
Estradiol (E2) and relaxin (Rln) are steroid and polypeptide hormones, respectively, with important roles in the female reproductive tract, including myometrium. Some actions of Rln, which are mediated by its membrane receptor RXFP1, require or are augmented by E2 signaling through its cognate nuclear steroid receptor, estrogen receptor alpha (ERα). In contrast, other actions of Rln act in opposition to the effects of E2. Here we explore the molecular and genomic mechanisms that underlie the functional interplay between E2 and Rln in the myometrium. We used both ovariectomized female mice and immortalized human myometrial cells expressing wild type or mutant ERα (hTERT-HM-ERα cells). Our results indicate that Rln attenuates the genomic actions and biological effects of estrogen in the myometrium and myometrial cells by reducing phosphorylation ERα on serine 118 (S118). Interestingly, we observed a potent inhibitory effect of Rln on the E2-dependent binding of ERα across the genome. The reduction in ERα binding was associated with changes in the hormone-regulated transcriptome, including a decrease in the E2-dependent expression of neighboring genes. The inhibitory effects of Rln cotreatment on the E2-dependent phosphorylation of ERα required the nuclear dual-specificity phosphatases DUSP1 and DUSP5. Moreover, the inhibitory effects of Rln were reflected in a concomitant inhibition of the E2-dependent contraction of myometrial cells. Collectively, our results identify a pathway that integrates Rln/RXFP1 and E2/ERα signaling, resulting in a convergence of membrane and nuclear signaling pathways to control genomic and biological outcomes.
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Affiliation(s)
- Sudeshna Tripathy
- Laboratory of Signaling and Gene Regulation, Cecil H. and Ida Green Center for Reproductive Biology Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
- Laboratory of Cervical Remodeling and Preterm Birth, Cecil H. and Ida Green Center for Reproductive Biology Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
- Section of Laboratory Research, Department of Obstetrics and Gynecology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Anusha Nagari
- Laboratory of Signaling and Gene Regulation, Cecil H. and Ida Green Center for Reproductive Biology Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
- Computational Core Facility, Cecil H. and Ida Green Center for Reproductive Biology Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Shu-Ping Chiu
- Laboratory of Signaling and Gene Regulation, Cecil H. and Ida Green Center for Reproductive Biology Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Tulip Nandu
- Laboratory of Signaling and Gene Regulation, Cecil H. and Ida Green Center for Reproductive Biology Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
- Computational Core Facility, Cecil H. and Ida Green Center for Reproductive Biology Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Cristel V. Camacho
- Laboratory of Signaling and Gene Regulation, Cecil H. and Ida Green Center for Reproductive Biology Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
- Section of Laboratory Research, Department of Obstetrics and Gynecology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Mala Mahendroo
- Laboratory of Cervical Remodeling and Preterm Birth, Cecil H. and Ida Green Center for Reproductive Biology Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
- Section of Laboratory Research, Department of Obstetrics and Gynecology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - W. Lee Kraus
- Laboratory of Signaling and Gene Regulation, Cecil H. and Ida Green Center for Reproductive Biology Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
- Section of Laboratory Research, Department of Obstetrics and Gynecology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
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43
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Chen W, Li J, Xu K, Luo J, Wang M, Liu Y, Wang F, Du S, Xu W, Ge J, Li Y, Fu B, Tan J, Yang Y, Wang J, Xue X, Jin L, Yang Z, Liu F, Wang S. Genetic Variants Associated with Sweat Gland Phenotypes in 6210 Han Chinese Individuals. J Invest Dermatol 2024:S0022-202X(24)00287-2. [PMID: 38608834 DOI: 10.1016/j.jid.2024.02.037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 02/02/2024] [Accepted: 02/15/2024] [Indexed: 04/14/2024]
Affiliation(s)
- Wenyan Chen
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Jinxi Li
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, China
| | - Ke Xu
- Academy of Medical Science, Zhengzhou University, Zhengzhou, China
| | - Junyu Luo
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Mengran Wang
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Yu Liu
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Fudi Wang
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Siyuan Du
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Wenjie Xu
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Jieyu Ge
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Yi Li
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Bingfei Fu
- Institute of Intelligent Media Computing, School of Computer Science, Fudan University, Shanghai, China
| | - Jingze Tan
- Ministry of Education Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Science, Fudan University, Shanghai, China
| | - Yajun Yang
- Ministry of Education Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Science, Fudan University, Shanghai, China
| | - Jiucun Wang
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, China; Fudan University Taizhou Institute of Health Sciences, Taizhou, China; Research Unit of Dissecting the Population Genetics and Developing New Technologies for Treatment and Prevention of Skin Phenotypes and Dermatological Diseases (2019RU058), Chinese Academy of Medical Sciences, Shanghai, China
| | - Xiangyang Xue
- Institute of Intelligent Media Computing, School of Computer Science, Fudan University, Shanghai, China
| | - Li Jin
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, China; Fudan University Taizhou Institute of Health Sciences, Taizhou, China; Research Unit of Dissecting the Population Genetics and Developing New Technologies for Treatment and Prevention of Skin Phenotypes and Dermatological Diseases (2019RU058), Chinese Academy of Medical Sciences, Shanghai, China
| | - Zhaohui Yang
- Academy of Medical Science, Zhengzhou University, Zhengzhou, China
| | - Fan Liu
- Department of Forensic Sciences, College of Criminal Justice, Naif Arab University for Security Sciences, Riyadh, Saudi Arabia
| | - Sijia Wang
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China; Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China.
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44
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Roussos P, Ma Y, Girdhar K, Hoffman G, Fullard J, Bendl J. Sex differences in brain cell-type specific chromatin accessibility in schizophrenia. RESEARCH SQUARE 2024:rs.3.rs-4158509. [PMID: 38645177 PMCID: PMC11030506 DOI: 10.21203/rs.3.rs-4158509/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
Our understanding of the sex-specific role of the non-coding genome in serious mental illness remains largely incomplete. To address this gap, we explored sex differences in 1,393 chromatin accessibility profiles, derived from neuronal and non-neuronal nuclei of two distinct cortical regions from 234 cases with serious mental illness and 235 controls. We identified sex-specific enhancer-promoter interactions and showed that they regulate genes involved in X-chromosome inactivation (XCI). Examining chromosomal conformation allowed us to identify sex-specific cis- and trans-regulatory domains (CRDs and TRDs). Co-localization of sex-specific TRDs with schizophrenia common risk variants pinpointed male-specific regulatory regions controlling a number of metabolic pathways. Additionally, enhancers from female-specific TRDs were found to regulate two genes known to escape XCI, (XIST and JPX), underlying the importance of TRDs in deciphering sex differences in schizophrenia. Overall, these findings provide extensive characterization of sex differences in the brain epigenome and disease-associated regulomes.
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Affiliation(s)
| | - Yixuan Ma
- Icahn School of Medicine at Mount Sinai
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Aravamudhan A, Dieffenbach PB, Choi KM, Link PA, Meridew JA, Haak AJ, Fredenburgh LE, Tschumperlin DJ. Non-canonical IKB kinases regulate YAP/TAZ and pathological vascular remodeling behaviors in pulmonary artery smooth muscle cells. Physiol Rep 2024; 12:e15999. [PMID: 38610069 PMCID: PMC11014870 DOI: 10.14814/phy2.15999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 03/05/2024] [Accepted: 03/06/2024] [Indexed: 04/14/2024] Open
Abstract
Pulmonary arterial hypertension (PAH) causes pulmonary vascular remodeling, increasing pulmonary vascular resistance (PVR) and leading to right heart failure and death. Matrix stiffening early in the disease promotes remodeling in pulmonary artery smooth muscle cells (PASMCs), contributing to PAH pathogenesis. Our research identified YAP and TAZ as key drivers of the mechanobiological feedback loop in PASMCs, suggesting targeting them could mitigate remodeling. However, YAP/TAZ are ubiquitously expressed and carry out diverse functions, necessitating a cell-specific approach. Our previous work demonstrated that targeting non-canonical IKB kinase TBK1 reduced YAP/TAZ activation in human lung fibroblasts. Here, we investigate non-canonical IKB kinases TBK1 and IKKε in pulmonary hypertension (PH) and their potential to modulate PASMC pathogenic remodeling by regulating YAP/TAZ. We show that TBK1 and IKKε are activated in PASMCs in a rat PH model. Inflammatory cytokines, elevated in PAH, activate these kinases in human PASMCs. Inhibiting TBK1/IKKε expression/activity significantly reduces PAH-associated PASMC remodeling, with longer-lasting effects on YAP/TAZ than treprostinil, an approved PAH therapy. These results show that non-canonical IKB kinases regulate YAP/TAZ in PASMCs and may offer a novel approach for reducing vascular remodeling in PAH.
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Affiliation(s)
- Aja Aravamudhan
- Department of Physiology and Biomedical EngineeringMayo ClinicRochesterMinnesotaUSA
| | - Paul B. Dieffenbach
- Division of Pulmonary and Critical Care Medicine, Department of MedicineBrigham and Women's HospitalBostonMassachusettsUSA
| | - Kyoung Moo Choi
- Department of Physiology and Biomedical EngineeringMayo ClinicRochesterMinnesotaUSA
| | - Patrick A. Link
- Department of Physiology and Biomedical EngineeringMayo ClinicRochesterMinnesotaUSA
| | - Jeffrey A. Meridew
- Department of Physiology and Biomedical EngineeringMayo ClinicRochesterMinnesotaUSA
| | - Andrew J. Haak
- Department of Physiology and Biomedical EngineeringMayo ClinicRochesterMinnesotaUSA
| | - Laura E. Fredenburgh
- Division of Pulmonary and Critical Care Medicine, Department of MedicineBrigham and Women's HospitalBostonMassachusettsUSA
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Jia J, Luo Y, Wu Z, Ji Y, Liu S, Shu J, Chen B, Liu J. OsJMJ718, a histone demethylase gene, positively regulates seed germination in rice. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2024; 118:191-202. [PMID: 38116956 DOI: 10.1111/tpj.16600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2023] [Revised: 11/27/2023] [Accepted: 12/09/2023] [Indexed: 12/21/2023]
Abstract
Seed vigor has major impact on the rate and uniformity of seedling growth, crop yield, and quality. However, the epigenetic regulatory mechanism of crop seed vigor remains unclear. In this study, a (jumonji C) JmjC gene of the histone lysine demethylase OsJMJ718 was cloned in rice, and its roles in seed germination and its epigenetic regulation mechanism were investigated. OsJMJ718 was located in the nucleus and was engaged in H3K9 methylation. Histochemical GUS staining analysis revealed OsJMJ718 was highly expressed in seed embryos. Abiotic stress strongly induced the OsJMJ718 transcriptional accumulation level. Germination percentage and seedling vigor index of OsJMJ718 knockout lines (OsJMJ718-CR) were lower than those of the wild type (WT). Chromatin immunoprecipitation followed by sequencing (ChIP-seq) of seeds imbibed for 24 h showed an increase in H3K9me3 deposition of thousands of genes in OsJMJ718-CR. ChIP-seq results and transcriptome analysis showed that differentially expressed genes were enriched in ABA and ethylene signal transduction pathways. The content of ABA in OsJMJ718-CR was higher than that in WT seeds. OsJMJ718 overexpression enhanced sensitivity to ABA during germination and early seedling growth. In the seed imbibition stage, ABA and ethylene content diminished and augmented, separately, suggesting that OsJMJ718 may adjust rice seed germination through the ABA and ethylene signal transduction pathways. This study displayed the important function of OsJMJ718 in adjusting rice seed germination and vigor, which will provide an essential reference for practical issues, such as improving rice vigor and promoting direct rice sowing production.
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Affiliation(s)
- Junting Jia
- Guangdong Key Laboratory for Crop Germplasm Resources Preservation and Utilization, Agro-Biological Gene Research Center, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China
| | - Yongjian Luo
- Guangdong Key Laboratory for Crop Germplasm Resources Preservation and Utilization, Agro-Biological Gene Research Center, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China
| | - Zhiyuan Wu
- Guangdong Key Laboratory for Crop Germplasm Resources Preservation and Utilization, Agro-Biological Gene Research Center, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China
| | - Yufang Ji
- Guangdong Key Laboratory for Crop Germplasm Resources Preservation and Utilization, Agro-Biological Gene Research Center, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China
| | - Shuangxing Liu
- Guangdong Key Laboratory for Crop Germplasm Resources Preservation and Utilization, Agro-Biological Gene Research Center, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China
| | - Jie Shu
- Guangdong Key Laboratory for Crop Germplasm Resources Preservation and Utilization, Agro-Biological Gene Research Center, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China
| | - Bingxian Chen
- Guangdong Key Laboratory for Crop Germplasm Resources Preservation and Utilization, Agro-Biological Gene Research Center, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China
| | - Jun Liu
- Guangdong Key Laboratory for Crop Germplasm Resources Preservation and Utilization, Agro-Biological Gene Research Center, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China
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Kuang R, Xu Z, Zhou H, Zhang Z, Peng H, Wang D, Xu X, Zhao S, Zhao Y, Zhu M. H3K27ac modification and transcription characteristics of adipose and muscle tissues in Chuxiang Black pig. Anim Genet 2024; 55:217-229. [PMID: 38296601 DOI: 10.1111/age.13400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Revised: 12/25/2023] [Accepted: 01/17/2024] [Indexed: 03/05/2024]
Abstract
The establishment of high-quality pork breeds for improving meat quality in the pig industry is needed. The Chuxiang Black (CX) pig is a new breed developed from Chinese local pigs and Western lean pigs that has a high proportion of lean meat and excellent meat quality. However, the characteristics of cis-regulatory elements in CX pigs are still unknown. In this study, cis-regulatory elements of muscle and adipose tissues in CX pigs were investigated using ChIP-seq and RNA sequencing. Compared with the reported cis-regulatory elements of muscle and adipose tissues, 1768 and 1012 highly activated enhancers and 433 and 275 highly activated promoters in CX muscle and adipose tissues were identified, respectively. Motif analysis showed that transcription factors, such as MEF2A and MEF2C, were core regulators of highly activated enhancers and promoters in muscle. Similarly, the transcription factors JUNB and CUX1 were identified as essential for highly activated enhancers and promoters in CX adipose tissue. These results enrich the resources for the analysis of cis-regulatory elements in the pig genome and provide new basic data for further meat quality improvement through breeding in pigs.
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Affiliation(s)
- Renzhuo Kuang
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education and Key Laboratory of Swine Genetics and Breeding of Ministry of Agriculture, Huazhong Agricultural University, Wuhan, China
| | - Zhixiang Xu
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education and Key Laboratory of Swine Genetics and Breeding of Ministry of Agriculture, Huazhong Agricultural University, Wuhan, China
| | - Honghong Zhou
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education and Key Laboratory of Swine Genetics and Breeding of Ministry of Agriculture, Huazhong Agricultural University, Wuhan, China
| | - Zhao Zhang
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education and Key Laboratory of Swine Genetics and Breeding of Ministry of Agriculture, Huazhong Agricultural University, Wuhan, China
| | - Hao Peng
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education and Key Laboratory of Swine Genetics and Breeding of Ministry of Agriculture, Huazhong Agricultural University, Wuhan, China
| | - Daoyuan Wang
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education and Key Laboratory of Swine Genetics and Breeding of Ministry of Agriculture, Huazhong Agricultural University, Wuhan, China
| | - Xuewen Xu
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education and Key Laboratory of Swine Genetics and Breeding of Ministry of Agriculture, Huazhong Agricultural University, Wuhan, China
| | - Shuhong Zhao
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education and Key Laboratory of Swine Genetics and Breeding of Ministry of Agriculture, Huazhong Agricultural University, Wuhan, China
- The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, China
- Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Yunxia Zhao
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education and Key Laboratory of Swine Genetics and Breeding of Ministry of Agriculture, Huazhong Agricultural University, Wuhan, China
| | - Mengjin Zhu
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education and Key Laboratory of Swine Genetics and Breeding of Ministry of Agriculture, Huazhong Agricultural University, Wuhan, China
- The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, China
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48
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Leri J, Liu J, Kelly M, Kertes DA. A preliminary investigation of epigenome-wide DNA methylation and temperament during infancy. Dev Psychobiol 2024; 66:e22475. [PMID: 38470455 DOI: 10.1002/dev.22475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 02/05/2024] [Accepted: 02/06/2024] [Indexed: 03/13/2024]
Abstract
This study provides preliminary evidence for an epigenetic architecture of infant temperament. At 12 months of age, blood was collected and assayed for DNA methylation and maternally reported infant temperament was assessed using the Infant Behavior Questionnaire in 67 mother-infant dyads. Epigenome-wide analyses showed that the higher order temperament dimensions Surgency and Negative Affect were associated with DNA methylation. The epigenetic signatures of Surgency and Negative Affect were situated at genes involved in synaptic signaling and plasticity. Although replication is required, these results are consistent with a biologically based model of temperament, create new avenues for hypothesis-driven research into epigenetic pathways that underlie individual differences in temperament, and demonstrate that infant temperament has a widespread epigenetic signature in the methylome.
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Affiliation(s)
- John Leri
- Department of Psychology, University of Florida, Gainesville, Florida, USA
| | - Jingwen Liu
- Department of Psychology, University of Florida, Gainesville, Florida, USA
| | - Maria Kelly
- Department of Pediatrics, University of Florida, Gainesville, Florida, USA
| | - Darlene A Kertes
- Department of Psychology, University of Florida, Gainesville, Florida, USA
- UF Genetics Institute, University of Florida, Gainesville, USA
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Rodrigues de Oliveira B, Iansavitchous J, Rysan H, Wang WC, Sams MP, Knight D, Xu LS, Jeong J, Qu TP, Zorzi AP, DeKoter RP. IKZF3/Aiolos H195Y mutation identified in a mouse model of B cell leukemia results in altered DNA binding and altered STAT5-dependent gene expression. Gene 2024; 900:148131. [PMID: 38216003 DOI: 10.1016/j.gene.2024.148131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 01/02/2024] [Indexed: 01/14/2024]
Abstract
Precursor B cell acute lymphoblastic leukemia (Pre-B-ALL) arises from developing B cells and frequently involves mutations in genes encoding transcription factors. In this study, we investigated the function of mutations in the transcription factor IKZF3 (Aiolos), R137* and H195Y, discovered in a mouse model of pre-B-ALL. R137* IKZF3 mutation resulted in a truncated protein, while electrophoretic mobility shift assay showed that H195Y IKZF3 mutation resulted in a protein with altered DNA binding. 38B9 pre-B cell lines were generated expressing WT and H195Y IKZF3 proteins. Anti-IKZF3 ChIP-seq showed that H195Y IKZF3 interacted with a larger number of sites that were different than WT IKZF3. Treatment with interleukin-7 induced changes in gene expression in 38B9 cells expressing WT IKZF3, but did not induce any changes in gene expression in cells expressing H195Y IKZF3. Anti-STAT5 ChIP-seq showed that expression of H195Y IKZF3 resulted in redistribution of STAT5 binding sites in the genome. H195Y IKZF3 binding sites overlapped with a subset of STAT5 binding sites, including in the promoter of the Cish gene. These findings suggest that H195Y mutation of IKZF3 results in altered DNA binding specificity and altered binding of STAT5 to target genes.
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Affiliation(s)
- Bruno Rodrigues de Oliveira
- Department of Microbiology & Immunology and the Center for Human Immunology, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada
| | - James Iansavitchous
- Department of Microbiology & Immunology and the Center for Human Immunology, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada
| | - Heidi Rysan
- Department of Microbiology & Immunology and the Center for Human Immunology, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada
| | - Wei Cen Wang
- Department of Microbiology & Immunology and the Center for Human Immunology, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada
| | - Mia P Sams
- Department of Microbiology & Immunology and the Center for Human Immunology, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada
| | - Devon Knight
- Department of Microbiology & Immunology and the Center for Human Immunology, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada
| | - Li S Xu
- Department of Microbiology & Immunology and the Center for Human Immunology, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada
| | - Jeewoo Jeong
- Department of Microbiology & Immunology and the Center for Human Immunology, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada
| | - Thomas P Qu
- Department of Microbiology & Immunology and the Center for Human Immunology, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada
| | - Alexandra P Zorzi
- Department of Paediatrics, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada
| | - Rodney P DeKoter
- Department of Microbiology & Immunology and the Center for Human Immunology, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada; Division of Genetics and Development, Children's Health Research Institute, Lawson Research Institute, London, Ontario, Canada.
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50
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Jue D, Li Z, Zhang W, Tang J, Xie T, Sang X, Guo Q. Identification and functional analysis of the LEAFY gene in longan flower induction. BMC Genomics 2024; 25:308. [PMID: 38528464 DOI: 10.1186/s12864-024-10229-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 03/15/2024] [Indexed: 03/27/2024] Open
Abstract
BACKGROUND Flowering at the right time is a very important factor affecting the stable annual yield of longan. However, a lack of knowledge of the regulatory mechanism and key genes of longan flowering restricts healthy development of the longan industry. Therefore, identifying relevant genes and analysing their regulatory mechanism are essential for scientific research and longan industry development. RESULTS DlLFY (Dimocarpus longan LEAFY) contains a 1167 bp open reading frame and encodes 388 amino acids. The amino acid sequence has a typical LFY/FLO family domain. DlLFY was expressed in all tissues tested, except for the leaf, pericarp, and pulp, with the highest expression occurring in flower buds. Expression of DlLFY was significantly upregulated at the early flower induction stage in "SX" ("Shixia"). The results of subcellular localization and transactivation analysis showed that DlLFY is a typical transcription factor acting as a transcriptional activator. Moreover, overexpression of DlLFY in Arabidopsis promoted early flowering and restrained growth, resulting in reduced plant height and rosette leaf number and area in transgenic plants. DNA affinity purification sequencing (DAP-Seq) analysis showed that 13 flower-related genes corresponding to five homologous genes of Arabidopsis may have binding sites and be putative target genes. Among these five flower-related genes, only AtTFL1 (terminal flower 1) was strongly inhibited in transgenic lines. CONCLUSION Taken together, these results indicate that DlLFY plays a pivotal role in controlling longan flowering, possibly by interacting with TFL1.
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Affiliation(s)
- Dengwei Jue
- Chongqing Key Laboratory of Economic Plant Biotechnology, Collaborative Innovation Center of Special Plant Industry in Chongqing, Chongqing Engineering Research Center for Special Plant Seedling, Institute of Special Plants, Chongqing University of Arts and Sciences, 402160, Yongchuan, China
- Key Laboratory of Horticulture Science for Southern Mountains Regions of Ministry of Education, College of Horticulture and Landscape Architecture, Southwest University, 400715, Chongqing, Beibei, China
| | - Zhexin Li
- Chongqing Key Laboratory of Economic Plant Biotechnology, Collaborative Innovation Center of Special Plant Industry in Chongqing, Chongqing Engineering Research Center for Special Plant Seedling, Institute of Special Plants, Chongqing University of Arts and Sciences, 402160, Yongchuan, China
| | - Wenlin Zhang
- Chongqing Key Laboratory of Economic Plant Biotechnology, Collaborative Innovation Center of Special Plant Industry in Chongqing, Chongqing Engineering Research Center for Special Plant Seedling, Institute of Special Plants, Chongqing University of Arts and Sciences, 402160, Yongchuan, China
| | - Jianmin Tang
- Chongqing Key Laboratory of Economic Plant Biotechnology, Collaborative Innovation Center of Special Plant Industry in Chongqing, Chongqing Engineering Research Center for Special Plant Seedling, Institute of Special Plants, Chongqing University of Arts and Sciences, 402160, Yongchuan, China
| | - Ting Xie
- Chongqing Key Laboratory of Economic Plant Biotechnology, Collaborative Innovation Center of Special Plant Industry in Chongqing, Chongqing Engineering Research Center for Special Plant Seedling, Institute of Special Plants, Chongqing University of Arts and Sciences, 402160, Yongchuan, China
| | - Xuelian Sang
- Chongqing Key Laboratory of Economic Plant Biotechnology, Collaborative Innovation Center of Special Plant Industry in Chongqing, Chongqing Engineering Research Center for Special Plant Seedling, Institute of Special Plants, Chongqing University of Arts and Sciences, 402160, Yongchuan, China.
| | - Qigao Guo
- Key Laboratory of Horticulture Science for Southern Mountains Regions of Ministry of Education, College of Horticulture and Landscape Architecture, Southwest University, 400715, Chongqing, Beibei, China.
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