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Yang JH, Hansen AS. Enhancer selectivity in space and time: from enhancer-promoter interactions to promoter activation. Nat Rev Mol Cell Biol 2024; 25:574-591. [PMID: 38413840 DOI: 10.1038/s41580-024-00710-6] [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] [Accepted: 01/30/2024] [Indexed: 02/29/2024]
Abstract
The primary regulators of metazoan gene expression are enhancers, originally functionally defined as DNA sequences that can activate transcription at promoters in an orientation-independent and distance-independent manner. Despite being crucial for gene regulation in animals, what mechanisms underlie enhancer selectivity for promoters, and more fundamentally, how enhancers interact with promoters and activate transcription, remain poorly understood. In this Review, we first discuss current models of enhancer-promoter interactions in space and time and how enhancers affect transcription activation. Next, we discuss different mechanisms that mediate enhancer selectivity, including repression, biochemical compatibility and regulation of 3D genome structure. Through 3D polymer simulations, we illustrate how the ability of 3D genome folding mechanisms to mediate enhancer selectivity strongly varies for different enhancer-promoter interaction mechanisms. Finally, we discuss how recent technical advances may provide new insights into mechanisms of enhancer-promoter interactions and how technical biases in methods such as Hi-C and Micro-C and imaging techniques may affect their interpretation.
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Affiliation(s)
- Jin H Yang
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Koch Institute for Integrative Cancer Research, Cambridge, MA, USA
| | - Anders S Hansen
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Koch Institute for Integrative Cancer Research, Cambridge, MA, USA.
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2
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Jia Q, Tan Y, Li Y, Wu Y, Wang J, Tang F. JUN-induced super-enhancer RNA forms R-loop to promote nasopharyngeal carcinoma metastasis. Cell Death Dis 2023; 14:459. [PMID: 37479693 PMCID: PMC10361959 DOI: 10.1038/s41419-023-05985-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 07/10/2023] [Accepted: 07/12/2023] [Indexed: 07/23/2023]
Abstract
Oncogenic super-enhancers (SEs) generate noncoding enhancer/SE RNAs (eRNAs/seRNAs) that exert a critical function in malignancy through powerful regulation of target gene expression. Herein, we show that a JUN-mediated seRNA can form R-loop to regulate target genes to promote metastasis of nasopharyngeal carcinoma (NPC). A combination of global run-on sequencing, chromatin-immunoprecipitation sequencing, and RNA sequencing was used to screen seRNAs. A specific seRNA associated with NPC metastasis (seRNA-NPCM) was identified as a transcriptional regulator for N-myc downstream-regulated gene 1 (NDRG1). JUN was found to regulate seRNA-NPCM through motif binding. seRNA-NPCM was elevated in NPC cancer tissues and highly metastatic cell lines, and promoted the metastasis of NPC cells in vitro and in vivo. Mechanistically, the 3' end of seRNA-NPCM hybridizes with the SE region to form an R-loop, and the middle segment of seRNA-NPCM binds to heterogeneous nuclear ribonucleoprotein R (hnRNPR) at the promoter of distal gene NDRG1 and neighboring gene tribbles pseudokinase 1 (TRIB1). These structures promote chromatin looping and long-distance chromatin interactions between SEs and promoters, thus facilitating NDRG1 and TRIB1 transcription. Furthermore, the clinical analyses showed that seRNA-NPCM and NDRG1 were independent prognostic factors for NPC patients. seRNA-NPCM plays a critical role in orchestrating target gene transcription to promote NPC metastasis.
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Affiliation(s)
- Qunying Jia
- Hunan Key Laboratory of Oncotarget Gene and Clinical Laboratory, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, 410013, Changsha, China
| | - Yuan Tan
- Hunan Key Laboratory of Oncotarget Gene and Clinical Laboratory, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, 410013, Changsha, China
| | - Yuejin Li
- Hunan Key Laboratory of Oncotarget Gene and Clinical Laboratory, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, 410013, Changsha, China
| | - Yao Wu
- Hunan Key Laboratory of Oncotarget Gene and Clinical Laboratory, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, 410013, Changsha, China
- Department of Ophthalmology and Otolaryngology, The First Hospital of Hunan University of Chinese Medicine, 410208, Changsha, China
| | - Jing Wang
- Hunan Key Laboratory of Oncotarget Gene and Clinical Laboratory, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, 410013, Changsha, China
| | - Faqin Tang
- Hunan Key Laboratory of Oncotarget Gene and Clinical Laboratory, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, 410013, Changsha, China.
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Selvaraj C, Ramalingam KR, Velmurugan D, Singh SK. Transcriptional regulatory mechanisms and signaling networks in cancer. ADVANCES IN PROTEIN CHEMISTRY AND STRUCTURAL BIOLOGY 2023; 134:1-20. [PMID: 36858731 DOI: 10.1016/bs.apcsb.2022.11.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Cancer is a general term that refers to a wide range of illnesses that are characterized by the development of aberrant cells that have the capacity to divide uncontrollably, invade, and harm healthy tissue. It is caused by both genetic and epigenetic changes that suppress abnormal proliferation and prevent cells from surviving outside of their normal niches. Complex protein networks are responsible for the development of a suitable environment via multiple cells signaling pathways. The study of these pathways is essential for analysing network context and developing novel cancer therapies. Transcription factors (TFs) are actively involved in gene expression and maintain the combinatorial on-and-off states of the gene. In addition, the TFs regulate cell identity and state; these TFs cooperate to establish cell-type-specific gene expression. In this chapter, we describe the number of transcription factors and their role in the progression of cancer. The knowledge of transcriptional factors and their network is crucial for emphasizing the specific transcriptional addiction and for designing new anticancer therapies.
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Affiliation(s)
- Chandrabose Selvaraj
- Center for Transdisciplinary Research, Department of Pharmacology, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, Tamil Nadu, India.
| | - Karthik Raja Ramalingam
- Department of Biotechnology, Division of Research and Innovation, Saveetha School of Engineering, SIMATS, Chennai, Tamil Nadu, India
| | - Devadasan Velmurugan
- Center for Transdisciplinary Research, Department of Pharmacology, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, Tamil Nadu, India
| | - Sanjeev Kumar Singh
- Computer Aided Drug Design and Molecular Modelling Lab, Department of Bioinformatics, Science Block, Alagappa University, Karaikudi, Tamil Nadu, India.
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Kitamura A, Jiayue C, Suwa T, Kato Y, Wada T, Watanabe H. Neonatal administration of synthetic estrogen, diethylstilbestrol to mice up-regulates inflammatory Cxclchemokines located in the 5qE1 region in the vaginal epithelium. PLoS One 2023; 18:e0280421. [PMID: 36928065 PMCID: PMC10019738 DOI: 10.1371/journal.pone.0280421] [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: 07/04/2022] [Accepted: 01/02/2023] [Indexed: 03/18/2023] Open
Abstract
A synthetic estrogen, diethylstilbestrol (DES), is known to cause adult vaginal carcinoma by neonatal administration of DES to mice. However, the carcinogenic process remains unclear. By Cap Analysis of Gene Expression method, we found that neonatal DES exposure up-regulated inflammatory Cxcl chemokines 2, 3, 5, and 7 located in the 5qE1 region in the vaginal epithelium of mice 70 days after birth. When we examined the gene expressions of these genes much earlier stages, we found that neonatal DES exposure increased these Cxcl chemokine genes expression even after 17 days after birth. It implies the DES-mediated persistent activation of inflammatory genes. Intriguingly, we also detected DES-induced non-coding RNAs from a region approximately 100 kb far from the Cxcl5 gene. The non-coding RNA up-regulation by DES exposure was confirmed on the 17-day vagina and continued throughout life, which may responsible for the activation of Cxcl chemokines located in the same region, 5qE1. This study shows that neonatal administration of DES to mice causes long-lasting up-regulation of inflammatory Cxcl chemokines in the vaginal epithelium. DES-mediated inflammation may be associated with the carcinogenic process.
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Affiliation(s)
- Ayaka Kitamura
- Department of Biotechnology, Osaka University, Suita-Shi, Osaka, Japan
- Nucleic Acid Regulation (Yoshindo) Joint Research Laboratory, Graduate School of Engineering, Osaka University, Suita-Shi, Osaka, Japan
| | - Chen Jiayue
- Department of Biotechnology, Osaka University, Suita-Shi, Osaka, Japan
| | - Tomoya Suwa
- Department of Biotechnology, Osaka University, Suita-Shi, Osaka, Japan
| | - Yasuhiko Kato
- Department of Biotechnology, Osaka University, Suita-Shi, Osaka, Japan
| | - Tadashi Wada
- Department of Biotechnology, Osaka University, Suita-Shi, Osaka, Japan
- Nucleic Acid Regulation (Yoshindo) Joint Research Laboratory, Graduate School of Engineering, Osaka University, Suita-Shi, Osaka, Japan
| | - Hajime Watanabe
- Department of Biotechnology, Osaka University, Suita-Shi, Osaka, Japan
- * E-mail:
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Chromatin remodeler CHD7 targets active enhancer region to regulate cell type-specific gene expression in human neural crest cells. Sci Rep 2022; 12:22648. [PMID: 36587182 PMCID: PMC9805427 DOI: 10.1038/s41598-022-27293-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 12/29/2022] [Indexed: 01/01/2023] Open
Abstract
A mutation in the chromatin remodeler chromodomain helicase DNA-binding 7 (CHD7) gene causes the multiple congenital anomaly CHARGE syndrome. The craniofacial anomalies observed in CHARGE syndrome are caused by dysfunctions of neural crest cells (NCCs), which originate from the neural tube. However, the mechanism by which CHD7 regulates the function of human NCCs (hNCCs) remains unclear. We aimed to characterize the cis-regulatory elements governed by CHD7 in hNCCs by analyzing genome-wide ChIP-Seq data and identifying hNCC-specific CHD7-binding profiles. We compared CHD7-binding regions among cell types, including human induced pluripotent stem cells and human neuroepithelial cells, to determine the comprehensive properties of CHD7-binding in hNCCs. Importantly, analysis of the hNCC-specific CHD7-bound region revealed transcription factor AP-2α as a potential co-factor facilitating the cell type-specific transcriptional program in hNCCs. CHD7 was strongly associated with active enhancer regions, permitting the expression of hNCC-specific genes to sustain the function of hNCCs. Our findings reveal the regulatory mechanisms of CHD7 in hNCCs, thus providing additional information regarding the transcriptional programs in hNCCs.
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Barriocanal M, Prats-Mari L, Razquin N, Prior C, Unfried JP, Fortes P. ISR8/IRF1-AS1 Is Relevant for IFNα and NF-κB Responses. Front Immunol 2022; 13:829335. [PMID: 35860270 PMCID: PMC9289242 DOI: 10.3389/fimmu.2022.829335] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Accepted: 05/06/2022] [Indexed: 12/21/2022] Open
Abstract
The study of the interferon (IFN) α-induced cell transcriptome has shown altered expression of several long non-coding RNAs (lncRNAs). ISR8/IRF1-AS1 (IFN stimulated RNA 8), located close to IFN regulatory factor 1 (IRF1) coding gene, transcribes a lncRNA induced at early times after IFNα treatment or IRF1 or NF-κB activation. Depletion or overexpression of ISR8 RNA does not lead to detected deregulation of the IFN response. Surprisingly, disruption of ISR8 locus with CRISPR-Cas9 genome editing results in cells that fail to induce several key ISGs and pro-inflammatory cytokines after a trigger with IFNα or overexpression of IRF1 or the NF-κB subunit RELA. This suggests that the ISR8 locus may play a relevant role in IFNα and NF-κB pathways. Interestingly, IFNα, IRFs and NF-κB-responding luciferase reporters are normally induced in ISR8-disrupted cells when expressed from a plasmid but not when integrated into the genome. Therefore, IFNα and NF-κB pathways are functional to induce the expression of exogenous episomic transcripts but fail to activate transcription from genomic promoters. Transcription from these promoters is not restored with silencing inhibitors, by decreasing the levels of several negative regulators or by overexpression of inducers. Transcriptome analyses indicate that ISR8-disrupted cells have a drastic increase in the levels of negative regulators such as XIST and Zinc finger proteins. Our results agree with ISR8 loci being an enhancer region that is fundamental for proper antiviral and proinflammatory responses. These results are relevant because several SNPs located in the ISR8 region are associated with chronic inflammatory and autoimmune diseases including Crohn’s disease, inflammatory bowel disease, ulcerative colitis or asthma.
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Affiliation(s)
- Marina Barriocanal
- Department of Gene Therapy and Regulation of Gene Expression, Center for Applied Medical Research (CIMA), University of Navarra (UNAV), Pamplona, Spain
| | - Laura Prats-Mari
- Department of Gene Therapy and Regulation of Gene Expression, Center for Applied Medical Research (CIMA), University of Navarra (UNAV), Pamplona, Spain
| | - Nerea Razquin
- Department of Gene Therapy and Regulation of Gene Expression, Center for Applied Medical Research (CIMA), University of Navarra (UNAV), Pamplona, Spain
| | - Celia Prior
- Department of Gene Therapy and Regulation of Gene Expression, Center for Applied Medical Research (CIMA), University of Navarra (UNAV), Pamplona, Spain
| | - Juan Pablo Unfried
- Department of Gene Therapy and Regulation of Gene Expression, Center for Applied Medical Research (CIMA), University of Navarra (UNAV), Pamplona, Spain
| | - Puri Fortes
- Department of Gene Therapy and Regulation of Gene Expression, Center for Applied Medical Research (CIMA), University of Navarra (UNAV), Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
- Liver and Digestive Diseases Networking Biomedical Research Centre (CIBERehd), Madrid, Spain
- Spanish Network for Advanced Therapies (TERAV ISCIII), Madrid, Spain
- *Correspondence: Puri Fortes,
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Gao Q, Chu Q, Liu M, Gao S, Xu Q, Zhou B. Functional variants in the promoter region of sulfotransferase 1C1 gene associated with estrogen degradation in gilts. Anim Sci J 2022; 93:e13738. [PMID: 35665986 DOI: 10.1111/asj.13738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 04/07/2022] [Accepted: 04/14/2022] [Indexed: 11/28/2022]
Abstract
Chinese indigenous Mi gilts have clearer estrus expression than European Large White gilts, and sulfotransferase 1C1 (SULT1C1) gene was differentially expressed between them. To investigate the differential expression mechanism of porcine SULT1C1 gene, we cloned its promoter region and predicted its activity. Six deletion expression vectors (P1, P2, P3, P4, P5, and P6) for the promoter of SULT1C1 gene were constructed. Vector P3 (-1084/+261) had the highest expression activity, whereas vector P4 (-642/+261) showed a reduced in promoter activity, which suggests that the core promoter region of SULT1C1 gene is located between -1084 bp and -642 bp. Two single nucleotide polymorphisms (SNPs), c. - 994 G > A (rs345070974) and c. - 946 G > A (rs337902009) were found in Mi and Large White gilts between -1100 and -661 bp, and the expression vectors with four haplotypes (GG, AA, GA, and AG) of two SNPs were constructed. The relative luciferase activity of vector with haplotype GG was the greatest among four vectors. These indicate that c. - 994 G > A and c. - 946 G > A are key mutations for promoter activity of SULT1C1 gene. Porcine SULT1C1 promoter with -994 G allele and -946 G allele significantly improved the gene expression level. It could be involved in different estrus expression between Large White and Mi gilts.
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Affiliation(s)
- Qinxue Gao
- Jiangsu Agri‐animal Husbandry Vocational College Taizhou China
| | - Qingpo Chu
- College of Animal Science and Technology Nanjing Agricultural University Nanjing China
| | - Mingzheng Liu
- College of Animal Science and Technology Nanjing Agricultural University Nanjing China
| | - Siyuan Gao
- College of Animal Science and Technology Nanjing Agricultural University Nanjing China
| | - Qinglei Xu
- College of Animal Science and Technology Nanjing Agricultural University Nanjing China
| | - Bo Zhou
- College of Animal Science and Technology Nanjing Agricultural University Nanjing China
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Liang Y, Xie Y, Kong S, Pan Q, Qiu W, Wang D, Li M, Lin S, Liu Z, Sun X. Complex Chromosomal Rearrangement Causes Male Azoospermia: A Case Report and Literature Review. Front Genet 2022; 13:792539. [PMID: 35281846 PMCID: PMC8907855 DOI: 10.3389/fgene.2022.792539] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2021] [Accepted: 01/25/2022] [Indexed: 11/13/2022] Open
Abstract
Background: Male carriers of complex chromosomal rearrangements (CCRs) may have decreased fertility and usually present with azoospermia, oligospermia or teratospermia.Methods: High-resolution karyotype analysis using G-banding on peripheral blood lymphocytes was performed in an azoospermic male. Copy number variations (CNVs) were detected by chromosomal microarray analysis, and genetic variations were determined by long-read nanopore sequencing with Sanger sequencing for breakpoint confirmation.Results: The karyotype of the patient was 46,XY,t(4;21)(p11;p11),t(5;6;14)(p13q22;p22q22;q22), which did not involve CNVs with clinical significance. Twelve breakpoints in chromosomes 5, 6, and 14 were found by long-read nanopore sequencing. Reports on 17 males carrying CCRs with azoospermia were also reviewed.Conclusion: The extent of asynaptic regions in synaptonemal complexes during pachytene and the disruption of genes involved in male gametogenesis may cause azoospermia in CCR carriers.
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Affiliation(s)
- Yi Liang
- Department of Obstetrics and Gynecology, Key Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yingjun Xie
- Department of Obstetrics and Gynecology, Key Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Shu Kong
- Department of Obstetrics and Gynecology, Key Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Qianying Pan
- Department of Obstetrics and Gynecology, Key Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Wenjun Qiu
- Department of Obstetrics and Gynecology, Key Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Ding Wang
- Department of Obstetrics and Gynecology, Key Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Mengting Li
- Department of Obstetrics and Gynecology, Key Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Sisi Lin
- Department of Obstetrics and Gynecology, Key Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, China
| | - Zihang Liu
- Department of Obstetrics and Gynecology, Key Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, China
| | - Xiaofang Sun
- Department of Obstetrics and Gynecology, Key Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- *Correspondence: Xiaofang Sun,
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ACLY Nuclear Translocation in Human Macrophages Drives Proinflammatory Gene Expression by NF-κB Acetylation. Cells 2021; 10:cells10112962. [PMID: 34831186 PMCID: PMC8616537 DOI: 10.3390/cells10112962] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2021] [Revised: 10/24/2021] [Accepted: 10/26/2021] [Indexed: 12/12/2022] Open
Abstract
Macrophage stimulation by pathogen-associated molecular patterns (PAMPs) like lipopolysaccharide (LPS) or lipoteichoic acid (LTA) drives a proinflammatory phenotype and induces a metabolic reprogramming to sustain the cell’s function. Nevertheless, the relationship between metabolic shifts and gene expression remains poorly explored. In this context, the metabolic enzyme ATP citrate lyase (ACLY), the producer of citrate-derived acetyl-coenzyme A (CoA), plays a critical role in supporting a proinflammatory response. Through immunocytochemistry and cytosol–nucleus fractionation, we found a short-term ACLY nuclear translocation. Protein immunoprecipitation unveiled the role of nuclear ACLY in NF-κB acetylation and in turn its full activation in human PBMC-derived macrophages. Notably, sepsis in the early hyperinflammatory phase triggers ACLY-mediated NF-κB acetylation. The ACLY/NF-κB axis increases the expression levels of proinflammatory genes, including SLC25A1—which encodes the mitochondrial citrate carrier—and ACLY, thus promoting the existence of a proinflammatory loop involving SLC25A1 and ACLY genes.
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Liu N, Low WY, Alinejad-Rokny H, Pederson S, Sadlon T, Barry S, Breen J. Seeing the forest through the trees: prioritising potentially functional interactions from Hi-C. Epigenetics Chromatin 2021; 14:41. [PMID: 34454581 PMCID: PMC8399707 DOI: 10.1186/s13072-021-00417-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Accepted: 08/19/2021] [Indexed: 11/30/2022] Open
Abstract
Eukaryotic genomes are highly organised within the nucleus of a cell, allowing widely dispersed regulatory elements such as enhancers to interact with gene promoters through physical contacts in three-dimensional space. Recent chromosome conformation capture methodologies such as Hi-C have enabled the analysis of interacting regions of the genome providing a valuable insight into the three-dimensional organisation of the chromatin in the nucleus, including chromosome compartmentalisation and gene expression. Complicating the analysis of Hi-C data, however, is the massive amount of identified interactions, many of which do not directly drive gene function, thus hindering the identification of potentially biologically functional 3D interactions. In this review, we collate and examine the downstream analysis of Hi-C data with particular focus on methods that prioritise potentially functional interactions. We classify three groups of approaches: structural-based discovery methods, e.g. A/B compartments and topologically associated domains, detection of statistically significant chromatin interactions, and the use of epigenomic data integration to narrow down useful interaction information. Careful use of these three approaches is crucial to successfully identifying potentially functional interactions within the genome.
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Affiliation(s)
- Ning Liu
- Computational & Systems Biology, Precision Medicine Theme, South Australian Health & Medical Research Institute, SA, 5000, Adelaide, Australia
- Robinson Research Institute, University of Adelaide, SA, 5005, Adelaide, Australia
- Adelaide Medical School, University of Adelaide, SA, 5005, Adelaide, Australia
| | - Wai Yee Low
- The Davies Research Centre, School of Animal and Veterinary Sciences, University of Adelaide, Roseworthy, SA, 5371, Australia
| | - Hamid Alinejad-Rokny
- BioMedical Machine Learning Lab, The Graduate School of Biomedical Engineering, The University of New South Wales, NSW, 2052, Sydney, Australia
- Core Member of UNSW Data Science Hub, The University of New South Wales, 2052, Sydney, Australia
| | - Stephen Pederson
- Adelaide Medical School, University of Adelaide, SA, 5005, Adelaide, Australia
- Dame Roma Mitchell Cancer Research Laboratories (DRMCRL), Adelaide Medical School, University of Adelaide, SA, 5005, Adelaide, Australia
| | - Timothy Sadlon
- Robinson Research Institute, University of Adelaide, SA, 5005, Adelaide, Australia
- Women's & Children's Health Network, SA, 5006, North Adelaide, Australia
| | - Simon Barry
- Robinson Research Institute, University of Adelaide, SA, 5005, Adelaide, Australia
- Core Member of UNSW Data Science Hub, The University of New South Wales, 2052, Sydney, Australia
- Women's & Children's Health Network, SA, 5006, North Adelaide, Australia
| | - James Breen
- Computational & Systems Biology, Precision Medicine Theme, South Australian Health & Medical Research Institute, SA, 5000, Adelaide, Australia.
- Robinson Research Institute, University of Adelaide, SA, 5005, Adelaide, Australia.
- Adelaide Medical School, University of Adelaide, SA, 5005, Adelaide, Australia.
- South Australian Genomics Centre (SAGC), South Australian Health & Medical Research Institute (SAHMRI), SA, 5000, Adelaide, Australia.
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11
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Monfils K, Barakat TS. Models behind the mystery of establishing enhancer-promoter interactions. Eur J Cell Biol 2021; 100:151170. [PMID: 34246183 DOI: 10.1016/j.ejcb.2021.151170] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 06/30/2021] [Accepted: 07/02/2021] [Indexed: 10/20/2022] Open
Abstract
Enhancers and promoters are transcriptional regulatory elements whose facilitated interactions increase gene expression. Enhancer DNA sequences can be located far away from the promoter sequences that they regulate. Currently, the mechanism facilitating the establishment of enhancer-promoter interactions remains unclear. However, mutations causing errors in these interactions have been linked to cancer and disease, further conveying the need to understand the full mechanism. This review discusses multiple models that have been proposed to describe how enhancers go the distance to interact with promoters. Evidence supporting loop formation models is reviewed in addition to more complex hypotheses involving aspects of 3D chromatin organization and phase separation.
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Affiliation(s)
- Kathryn Monfils
- Department of Clinical Genetics, Erasmus MC University Medical Center, PO Box 2040, 3000 CA, Rotterdam, the Netherlands
| | - Tahsin Stefan Barakat
- Department of Clinical Genetics, Erasmus MC University Medical Center, PO Box 2040, 3000 CA, Rotterdam, the Netherlands.
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Zhu X, Xu T, Zhu J. The regulatory function of tandem repeat VNTR2-1 in hTERT gene involves basic Helix-loop-helix family transcription factors. ENVIRONMENTAL AND MOLECULAR MUTAGENESIS 2021; 62:338-349. [PMID: 34115413 PMCID: PMC9648534 DOI: 10.1002/em.22447] [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: 04/14/2021] [Revised: 06/06/2021] [Accepted: 06/09/2021] [Indexed: 06/12/2023]
Abstract
Telomerase is a ribonucleoprotein enzyme that synthesizes telomere end sequence. The expression of hTERT gene, encoding the catalytic subunit of human telomerase, is restricted to highly proliferative tissues and is undetectable in most somatic cells. Abnormal activation of hTERT gene is found in 90% of human tumors. Previously, we identified tandem repeat of 42-bp/unit, VNTR2-1, in intron 2 of the hTERT gene, as a novel regulatory element important for hTERT transcription in cancer cells. In the current study, we found that multiple 42-bp repeats of VNTR2-1 activated luciferase gene in reporter plasmids. Mutation of the predicted cis-regulatory elements within the 42-bp repeats, including a E-box motif, resulted in a partial or complete loss of its enhancer activity. Moreover, MYC family proteins, c-MYC, MAX, and MNT, regulated hTERT gene transcription through both VNTR2-1 and E-boxes at the proximal hTERT promoter. Chromatin segmentation analysis of published ChIP-sequencing data from K562 cells indicated that VNTR2-1 was a bivalent enhancer. In telomerase-expressing human melanoma cell line MelJuSo, deletion of VNTR2-1 caused the hTERT promoter chromatin status to change from an active state to a repressed state, accompanied by increases of H3K27me3 and H3K9me3 marks. Therefore, we provided additional evidence for VNTR2-1 as a functional regulatory element that regulated hTERT expression by MYC family transcription factors. These results have improved our knowledge on the functions of repetitive genomic DNAs and the regulatory mechanisms of human telomerase gene.
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Affiliation(s)
| | | | - Jiyue Zhu
- To whom correspondence should be addressed. Tel: 1-509-368-6565; Fax: 1-509-368-6561; ; 412E Spokane Falls Blvd, PBS323, Spokane, WA, 99202, USA
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13
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Nishio T, Yoshikawa Y, Yoshikawa K, Sato SI. Longer DNA exhibits greater potential for cell-free gene expression. Sci Rep 2021; 11:11739. [PMID: 34083658 PMCID: PMC8175755 DOI: 10.1038/s41598-021-91243-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Accepted: 05/24/2021] [Indexed: 12/17/2022] Open
Abstract
Cell-free gene expression systems have been valuable tools for understanding how transcription/translation can be regulated in living cells. Many studies have investigated the determining factors that affect gene expression. Here we report the effect of the length of linearized reporter DNAs encoding the firefly luciferase gene so as to exclude the influence of supercoiling. It is found that longer DNA molecules exhibit significantly greater potency in gene expression; for example, the expression level for DNA with 25.7 kbp is 1000-times higher than that for DNA of 1.7 kbp. AFM observation of the DNA conformation indicates that longer DNA takes shrunken conformation with a higher segment density in the reaction mixture for gene expression, in contrast to the stiff conformation of shorter DNA. We propose an underlying mechanism for the favorable effect of longer DNA on gene expression in terms of the enhancement of access of RNA polymerase to the shrunken conformation. It is expected that the enhancement of gene expression efficiency with a shrunken DNA conformation would also be a rather general mechanism in living cellular environments.
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Affiliation(s)
- Takashi Nishio
- Faculty of Life and Medical Sciences, Doshisha University, Kyoto, 610-0394, Japan
| | - Yuko Yoshikawa
- Faculty of Life and Medical Sciences, Doshisha University, Kyoto, 610-0394, Japan
| | - Kenichi Yoshikawa
- Faculty of Life and Medical Sciences, Doshisha University, Kyoto, 610-0394, Japan
| | - Shin-Ichi Sato
- Institute for Chemical Research, Kyoto University, Kyoto, 611-0011, Japan.
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14
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He J, Lin Y, Meng M, Li J, Yang JYH, Wang H. Construction of a Human Cell Landscape of COVID-19 Infection at Single-cell Level. Aging Dis 2021; 12:705-709. [PMID: 34094635 PMCID: PMC8139199 DOI: 10.14336/ad.2021.0301] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Accepted: 03/01/2021] [Indexed: 12/26/2022] Open
Abstract
COVID-19 is now causing a global pandemic, there is a demand to explain the different clinical patterns between children and adults. To clarify the organs/cell types vulnerable to COVID-19 infection and the potential age-depended expression patterns of five factors (ACE2, TMPRSS2, MTHFD1, CTSL, CTSB) associated with clinical symptoms. In this study, we analyzed expression levels of five COVID-19 host dependency factors in multiple adult and fetal human organs. The results allowed us to grade organs at risk and also pointed towards the target cell types in each organ mentioned above. Based on these results we constructed an organ- and cell type-specific vulnerability map of the expression levels of the five COVID-19 factors in the human body, providing insight into the mechanisms behind the symptoms, including the non-respiratory symptoms of COVID-19 infection and injury. Also, the different expression patterns of the COVID-19 factors well demonstrate an explanation that the different clinical patterns between adult and children/infants.
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Affiliation(s)
- Jian He
- State Key Laboratory of Oncogenes and Related Genes, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
| | - Yingxin Lin
- School of Mathematics and Statistics, Charles Pekins Center, The University of Sydney, Sydney, Australia.
| | - Mei Meng
- State Key Laboratory of Oncogenes and Related Genes, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
| | - Jingquan Li
- State Key Laboratory of Oncogenes and Related Genes, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
| | - Jean YH. Yang
- School of Mathematics and Statistics, Charles Pekins Center, The University of Sydney, Sydney, Australia.
| | - Hui Wang
- State Key Laboratory of Oncogenes and Related Genes, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
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15
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Mijnheer G, Lutter L, Mokry M, van der Wal M, Scholman R, Fleskens V, Pandit A, Tao W, Wekking M, Vervoort S, Roberts C, Petrelli A, Peeters JGC, Knijff M, de Roock S, Vastert S, Taams LS, van Loosdregt J, van Wijk F. Conserved human effector Treg cell transcriptomic and epigenetic signature in arthritic joint inflammation. Nat Commun 2021; 12:2710. [PMID: 33976194 PMCID: PMC8113485 DOI: 10.1038/s41467-021-22975-7] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2020] [Accepted: 04/08/2021] [Indexed: 02/07/2023] Open
Abstract
Treg cells are critical regulators of immune homeostasis, and environment-driven Treg cell differentiation into effector (e)Treg cells is crucial for optimal functioning. However, human Treg cell programming in inflammation is unclear. Here, we combine transcriptional and epigenetic profiling to identify a human eTreg cell signature. Inflammation-derived functional Treg cells have a transcriptional profile characterized by upregulation of both a core Treg cell (FOXP3, CTLA4, TIGIT) and effector program (GITR, BLIMP-1, BATF). We identify a specific human eTreg cell signature that includes the vitamin D receptor (VDR) as a predicted regulator in eTreg cell differentiation. H3K27ac/H3K4me1 occupancy indicates an altered (super-)enhancer landscape, including enrichment of the VDR and BATF binding motifs. The Treg cell profile has striking overlap with tumor-infiltrating Treg cells. Our data demonstrate that human inflammation-derived Treg cells acquire a conserved and specific eTreg cell profile guided by epigenetic changes, and fine-tuned by environment-specific adaptations.
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MESH Headings
- Adolescent
- Arthritis, Juvenile/genetics
- Arthritis, Juvenile/immunology
- Arthritis, Juvenile/pathology
- Base Sequence
- Basic-Leucine Zipper Transcription Factors/genetics
- Basic-Leucine Zipper Transcription Factors/immunology
- CTLA-4 Antigen/genetics
- CTLA-4 Antigen/immunology
- Case-Control Studies
- Cell Differentiation
- Child
- Child, Preschool
- Epigenesis, Genetic
- Female
- Forkhead Transcription Factors/genetics
- Forkhead Transcription Factors/immunology
- Gene Expression Profiling
- Gene Regulatory Networks
- Glucocorticoid-Induced TNFR-Related Protein/genetics
- Glucocorticoid-Induced TNFR-Related Protein/immunology
- Histones/genetics
- Histones/immunology
- Humans
- Joints/immunology
- Joints/pathology
- Male
- Metabolic Networks and Pathways/genetics
- Metabolic Networks and Pathways/immunology
- Positive Regulatory Domain I-Binding Factor 1/genetics
- Positive Regulatory Domain I-Binding Factor 1/immunology
- Primary Cell Culture
- Receptors, Calcitriol/genetics
- Receptors, Calcitriol/immunology
- Receptors, Immunologic/genetics
- Receptors, Immunologic/immunology
- T-Lymphocytes, Regulatory/immunology
- T-Lymphocytes, Regulatory/pathology
- Transcriptome
- Young Adult
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Affiliation(s)
- Gerdien Mijnheer
- Center for Translational Immunology, Pediatric Immunology & Rheumatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Lisanne Lutter
- Center for Translational Immunology, Pediatric Immunology & Rheumatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Michal Mokry
- Center for Translational Immunology, Pediatric Immunology & Rheumatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Regenerative Medicine Center Utrecht, Department of Pediatrics, University Medical Center Utrecht, Utrecht, The Netherlands
- Epigenomics facility, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Marlot van der Wal
- Center for Translational Immunology, Pediatric Immunology & Rheumatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Rianne Scholman
- Center for Translational Immunology, Pediatric Immunology & Rheumatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Veerle Fleskens
- Centre for Inflammation Biology and Cancer Immunology, School of Immunology & Microbial Sciences, King's College London, London, UK
| | - Aridaman Pandit
- Center for Translational Immunology, Pediatric Immunology & Rheumatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Weiyang Tao
- Center for Translational Immunology, Pediatric Immunology & Rheumatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Mark Wekking
- Epigenomics facility, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Stephin Vervoort
- Center for Translational Immunology, Pediatric Immunology & Rheumatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Regenerative Medicine Center Utrecht, Center for Molecular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Ceri Roberts
- Centre for Inflammation Biology and Cancer Immunology, School of Immunology & Microbial Sciences, King's College London, London, UK
| | - Alessandra Petrelli
- Center for Translational Immunology, Pediatric Immunology & Rheumatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Janneke G C Peeters
- Center for Translational Immunology, Pediatric Immunology & Rheumatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Marthe Knijff
- Center for Translational Immunology, Pediatric Immunology & Rheumatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Sytze de Roock
- Center for Translational Immunology, Pediatric Immunology & Rheumatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Sebastiaan Vastert
- Center for Translational Immunology, Pediatric Immunology & Rheumatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Leonie S Taams
- Centre for Inflammation Biology and Cancer Immunology, School of Immunology & Microbial Sciences, King's College London, London, UK
| | - Jorg van Loosdregt
- Center for Translational Immunology, Pediatric Immunology & Rheumatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Regenerative Medicine Center Utrecht, Center for Molecular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Femke van Wijk
- Center for Translational Immunology, Pediatric Immunology & Rheumatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
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16
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Epigenetics in a Spectrum of Myeloid Diseases and Its Exploitation for Therapy. Cancers (Basel) 2021; 13:cancers13071746. [PMID: 33917538 PMCID: PMC8038780 DOI: 10.3390/cancers13071746] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 04/01/2021] [Accepted: 04/02/2021] [Indexed: 02/06/2023] Open
Abstract
Simple Summary The genome is stored in the limited space of the nucleus in a highly condensed form. The regulation of this packaging contributes to determining the accessibility of genes and is important for cell function. Genes affecting the genome’s packaging are frequently mutated in bone marrow cells that give rise to the different types of blood cells. Here, we first discuss the molecular functions of these genes and their role in blood generation under healthy conditions. Then, we describe how their mutations relate to a subset of diseases including blood cancers. Finally, we provide an overview of the current efforts of using and developing drugs targeting these and related genes. Abstract Mutations in genes encoding chromatin regulators are early events contributing to developing asymptomatic clonal hematopoiesis of indeterminate potential and its frequent progression to myeloid diseases with increasing severity. We focus on the subset of myeloid diseases encompassing myelodysplastic syndromes and their transformation to secondary acute myeloid leukemia. We introduce the major concepts of chromatin regulation that provide the basis of epigenetic regulation. In greater detail, we discuss those chromatin regulators that are frequently mutated in myelodysplastic syndromes. We discuss their role in the epigenetic regulation of normal hematopoiesis and the consequence of their mutation. Finally, we provide an update on the drugs interfering with chromatin regulation approved or in development for myelodysplastic syndromes and acute myeloid leukemia.
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17
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Naeimi Kararoudi M, Tullius BP, Chakravarti N, Pomeroy EJ, Moriarity BS, Beland K, Colamartino ABL, Haddad E, Chu Y, Cairo MS, Lee DA. Genetic and epigenetic modification of human primary NK cells for enhanced antitumor activity. Semin Hematol 2020; 57:201-212. [PMID: 33256913 PMCID: PMC7809645 DOI: 10.1053/j.seminhematol.2020.11.006] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Revised: 11/16/2020] [Accepted: 11/16/2020] [Indexed: 12/29/2022]
Abstract
Cancer immunotherapy using genetically modified immune cells such as those expressing chimeric antigen receptors has shown dramatic outcomes in patients with refractory and relapsed malignancies. Natural killer (NK) cells as a member of the innate immune system, possessing both anticancer (cytotoxic) and proinflammatory (cytokine) responses to cancers and rare off-target toxicities have great potential for a wide range of cancer therapeutic settings. Therefore, improving NK cell antitumor activity through genetic modification is of high interest in the field of cancer immunotherapy. However, gene manipulation in primary NK cells has been challenging because of broad resistance to many genetic modification methods that work well in T cells. Here we review recent successful approaches for genetic and epigenetic modification of NK cells including epigenetic remodeling, transposons, mRNA-mediated gene delivery, lentiviruses, and CRISPR gene targeting.
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Affiliation(s)
- Meisam Naeimi Kararoudi
- Center for Childhood Cancer and Blood Disorders, Abigail Wexner Research Institute of Nationwide Children's Hospital, Columbus, OH
| | - Brian P Tullius
- Center for Childhood Cancer and Blood Disorders, Abigail Wexner Research Institute of Nationwide Children's Hospital, Columbus, OH
| | - Nitin Chakravarti
- Department of Medical Oncology, Thomas Jefferson University, Philadelphia, PA
| | - Emily J Pomeroy
- Center for Genome Engineering, University of Minnesota, Minneapolis, MN
| | | | - Kathie Beland
- CHU Sainte-Justine Research Center, Montréal, QC, Canada
| | | | - Elie Haddad
- CHU Sainte-Justine Research Center, Montréal, QC, Canada
| | - Yaya Chu
- Department of Pediatrics, New York Medical College, Valhalla, NY
| | - Mitchell S Cairo
- Department of Pediatrics, New York Medical College, Valhalla, NY
| | - Dean A Lee
- Center for Childhood Cancer and Blood Disorders, Abigail Wexner Research Institute of Nationwide Children's Hospital, Columbus, OH.
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18
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García-Cortés D, de Anda-Jáuregui G, Fresno C, Hernández-Lemus E, Espinal-Enríquez J. Gene Co-expression Is Distance-Dependent in Breast Cancer. Front Oncol 2020; 10:1232. [PMID: 32850369 PMCID: PMC7396632 DOI: 10.3389/fonc.2020.01232] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Accepted: 06/16/2020] [Indexed: 12/15/2022] Open
Abstract
Breast carcinomas are characterized by anomalous gene regulatory programs. As is well-known, gene expression programs are able to shape phenotypes. Hence, the understanding of gene co-expression may shed light on the underlying mechanisms behind the transcriptional regulatory programs affecting tumor development and evolution. For instance, in breast cancer, there is a clear loss of inter-chromosomal (trans-) co-expression, compared with healthy tissue. At the same time cis- (intra-chromosomal) interactions are favored in breast tumors. In order to have a deeper understanding of regulatory phenomena in cancer, here, we constructed Gene Co-expression Networks by using TCGA-derived RNA-seq whole-genome samples corresponding to the four breast cancer molecular subtypes, as well as healthy tissue. We quantify the cis-/trans- co-expression imbalance in all phenotypes. Additionally, we measured the association between co-expression and physical distance between genes, and characterized the ratio of intra/inter-cytoband interactions per phenotype. We confirmed loss of trans- co-expression in all molecular subtypes. We also observed that gene cis- co-expression decays abruptly with distance in all tumors in contrast with healthy tissue. We observed co-expressed gene hotspots, that tend to be connected at cytoband regions, and coincide accurately with already known copy number altered regions, such as Chr17q12, or Chr8q24.3 for all subtypes. Our methodology recovered different alterations already reported for specific breast cancer subtypes, showing how co-expression network approaches might help to capture distinct events that modify the cell regulatory program.
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Affiliation(s)
- Diana García-Cortés
- Computational Genomics Division, National Institute of Genomic Medicine, Mexico City, Mexico
- Programa de Doctorado en Ciencias Biomédicas, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | | | - Cristóbal Fresno
- Computational Genomics Division, National Institute of Genomic Medicine, Mexico City, Mexico
| | - Enrique Hernández-Lemus
- Computational Genomics Division, National Institute of Genomic Medicine, Mexico City, Mexico
- Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Jesús Espinal-Enríquez
- Computational Genomics Division, National Institute of Genomic Medicine, Mexico City, Mexico
- Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Mexico City, Mexico
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19
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IGAP-integrative genome analysis pipeline reveals new gene regulatory model associated with nonspecific TF-DNA binding affinity. Comput Struct Biotechnol J 2020; 18:1270-1286. [PMID: 32612751 PMCID: PMC7303559 DOI: 10.1016/j.csbj.2020.05.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Revised: 05/17/2020] [Accepted: 05/19/2020] [Indexed: 11/23/2022] Open
Abstract
The human genome is regulated in a multi-dimensional way. While biophysical factors like Non-specific Transcription factor Binding Affinity (nTBA) act at DNA sequence level, other factors act above sequence levels such as histone modifications and 3-D chromosomal interactions. This multidimensionality of regulation requires many of these factors for a proper understanding of the regulatory landscape of the human genome. Here, we propose a new biophysical model for estimating nTBA. Integration of nTBA with chromatin modifications and chromosomal interactions, using a new Integrative Genome Analysis Pipeline (IGAP), reveals additive effects of nTBA to regulatory DNA sequences and identifies three types of genomic zones in the human genome (Inactive Genomic Zones, Poised Genomic Zones, and Active Genomic Zones). It also unveils a novel long distance gene regulatory model: chromosomal interactions reduce the physical distance between the high occupancy target (HOT) regions that results in high nTBA to DNA in the area, which in turn attract TFs to such regions with higher binding potential. These findings will help to elucidate the three-dimensional diffusion process that TFs use during their search for the right targets.
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20
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Levitsky V, Zemlyanskaya E, Oshchepkov D, Podkolodnaya O, Ignatieva E, Grosse I, Mironova V, Merkulova T. A single ChIP-seq dataset is sufficient for comprehensive analysis of motifs co-occurrence with MCOT package. Nucleic Acids Res 2020; 47:e139. [PMID: 31750523 PMCID: PMC6868382 DOI: 10.1093/nar/gkz800] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2019] [Revised: 08/12/2019] [Accepted: 09/09/2019] [Indexed: 01/20/2023] Open
Abstract
Recognition of composite elements consisting of two transcription factor binding sites gets behind the studies of tissue-, stage- and condition-specific transcription. Genome-wide data on transcription factor binding generated with ChIP-seq method facilitate an identification of composite elements, but the existing bioinformatics tools either require ChIP-seq datasets for both partner transcription factors, or omit composite elements with motifs overlapping. Here we present an universal Motifs Co-Occurrence Tool (MCOT) that retrieves maximum information about overrepresented composite elements from a single ChIP-seq dataset. This includes homo- and heterotypic composite elements of four mutual orientations of motifs, separated with a spacer or overlapping, even if recognition of motifs within composite element requires various stringencies. Analysis of 52 ChIP-seq datasets for 18 human transcription factors confirmed that for over 60% of analyzed datasets and transcription factors predicted co-occurrence of motifs implied experimentally proven protein-protein interaction of respecting transcription factors. Analysis of 164 ChIP-seq datasets for 57 mammalian transcription factors showed that abundance of predicted composite elements with an overlap of motifs compared to those with a spacer more than doubled; and they had 1.5-fold increase of asymmetrical pairs of motifs with one more conservative 'leading' motif and another one 'guided'.
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Affiliation(s)
- Victor Levitsky
- Department of Systems Biology, Institute of Cytology and Genetics, Novosibirsk 630090, Russia.,Department of Natural Science, Novosibirsk State University, Novosibirsk 630090, Russia
| | - Elena Zemlyanskaya
- Department of Systems Biology, Institute of Cytology and Genetics, Novosibirsk 630090, Russia.,Department of Natural Science, Novosibirsk State University, Novosibirsk 630090, Russia
| | - Dmitry Oshchepkov
- Department of Systems Biology, Institute of Cytology and Genetics, Novosibirsk 630090, Russia
| | - Olga Podkolodnaya
- Department of Systems Biology, Institute of Cytology and Genetics, Novosibirsk 630090, Russia
| | - Elena Ignatieva
- Department of Systems Biology, Institute of Cytology and Genetics, Novosibirsk 630090, Russia.,Department of Natural Science, Novosibirsk State University, Novosibirsk 630090, Russia
| | - Ivo Grosse
- Department of Natural Science, Novosibirsk State University, Novosibirsk 630090, Russia.,Institute of Computer Science, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.,German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, Leipzig, Germany
| | - Victoria Mironova
- Department of Systems Biology, Institute of Cytology and Genetics, Novosibirsk 630090, Russia.,Department of Natural Science, Novosibirsk State University, Novosibirsk 630090, Russia
| | - Tatyana Merkulova
- Department of Natural Science, Novosibirsk State University, Novosibirsk 630090, Russia.,Department of Molecular Genetics, Institute of Cytology and Genetics, Novosibirsk 630090, Russia
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21
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Schmidt F, Kern F, Schulz MH. Integrative prediction of gene expression with chromatin accessibility and conformation data. Epigenetics Chromatin 2020; 13:4. [PMID: 32029002 PMCID: PMC7003490 DOI: 10.1186/s13072-020-0327-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2019] [Accepted: 01/06/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Enhancers play a fundamental role in orchestrating cell state and development. Although several methods have been developed to identify enhancers, linking them to their target genes is still an open problem. Several theories have been proposed on the functional mechanisms of enhancers, which triggered the development of various methods to infer promoter-enhancer interactions (PEIs). The advancement of high-throughput techniques describing the three-dimensional organization of the chromatin, paved the way to pinpoint long-range PEIs. Here we investigated whether including PEIs in computational models for the prediction of gene expression improves performance and interpretability. RESULTS We have extended our [Formula: see text] framework to include DNA contacts deduced from chromatin conformation capture experiments and compared various methods to determine PEIs using predictive modelling of gene expression from chromatin accessibility data and predicted transcription factor (TF) motif data. We designed a novel machine learning approach that allows the prioritization of TFs binding to distal loop and promoter regions with respect to their importance for gene expression regulation. Our analysis revealed a set of core TFs that are part of enhancer-promoter loops involving YY1 in different cell lines. CONCLUSION We present a novel approach that can be used to prioritize TFs involved in distal and promoter-proximal regulatory events by integrating chromatin accessibility, conformation, and gene expression data. We show that the integration of chromatin conformation data can improve gene expression prediction and aids model interpretability.
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Affiliation(s)
- Florian Schmidt
- High-throughput Genomics & Systems Biology, Cluster of Excellence on Multimodal Computing and Interaction, Saarland Informatics Campus, 66123 Saarbrücken, Germany
- Computational Biology & Applied Algorithmics, Max-Planck Institute for Informatics, Saarland Informatics Campus, 66123 Saarbrücken, Germany
- Center for Bioinformatics, Saarland Informatics Campus, 66123 Saarbrücken, Germany
- Genome Institute of Singapore, A*STAR, 60 Biopolis Street, Singapore, 138672 Singapore
| | - Fabian Kern
- High-throughput Genomics & Systems Biology, Cluster of Excellence on Multimodal Computing and Interaction, Saarland Informatics Campus, 66123 Saarbrücken, Germany
- Center for Bioinformatics, Saarland Informatics Campus, 66123 Saarbrücken, Germany
- Chair for Clinical Bioinformatics, Saarland Informatics Campus, 66123 Saarbrücken, Germany
| | - Marcel H. Schulz
- High-throughput Genomics & Systems Biology, Cluster of Excellence on Multimodal Computing and Interaction, Saarland Informatics Campus, 66123 Saarbrücken, Germany
- Computational Biology & Applied Algorithmics, Max-Planck Institute for Informatics, Saarland Informatics Campus, 66123 Saarbrücken, Germany
- Center for Bioinformatics, Saarland Informatics Campus, 66123 Saarbrücken, Germany
- Institute of Cardiovascular Regeneration, Goethe-University, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
- German Center for Cardiovascular Research, Partner Site Rhein-Main, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
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22
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Hu Z, Tan DEK, Chia G, Tan H, Leong HF, Chen BJ, Lau MS, Tan KYS, Bi X, Yang D, Ho YS, Wu B, Bao S, Wong ESM, Tee WW. Maternal factor NELFA drives a 2C-like state in mouse embryonic stem cells. Nat Cell Biol 2020; 22:175-186. [DOI: 10.1038/s41556-019-0453-8] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Accepted: 12/09/2019] [Indexed: 11/09/2022]
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23
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McDonald SI, Beachum AN, Hinnant TD, Blake AJ, Bynum T, Hickman EP, Barnes J, Churchill KL, Roberts TS, Zangwill DE, Ables ET. Novel cis-regulatory regions in ecdysone responsive genes are sufficient to promote gene expression in Drosophila ovarian cells. Gene Expr Patterns 2019; 34:119074. [PMID: 31563631 PMCID: PMC6996244 DOI: 10.1016/j.gep.2019.119074] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2019] [Revised: 06/18/2019] [Accepted: 09/26/2019] [Indexed: 12/14/2022]
Abstract
The insect steroid hormone ecdysone is a key regulator of oogenesis in Drosophila melanogaster and many other species. Despite the diversity of cellular functions of ecdysone in oogenesis, the molecular regulation of most ecdysone-responsive genes in ovarian cells remains largely unexplored. We performed a functional screen using the UAS/Gal4 system to identify non-coding cis-regulatory elements within well-characterized ecdysone-response genes capable of driving transcription of an indelible reporter in ovarian cells. Using two publicly available transgenic collections (the FlyLight and Vienna Tiles resources), we tested 62 Gal4 drivers corresponding to ecdysone-response genes EcR, usp, E75, br, ftz-f1 and Hr3. We observed 31 lines that were sufficient to drive a UAS-lacZ reporter in discrete cell populations in the ovary. Reporter expression was reproducibly observed in both somatic and germ cells at distinct stages of oogenesis, including those previously characterized as critical points of ecdysone regulation. Our studies identified several useful new reagents, adding to the UAS/Gal4 toolkit available for genetic analysis of oogenesis in Drosophila. Further, our study provides novel insight into the molecular regulation of ecdysone signaling in oogenesis.
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Affiliation(s)
| | - Allison N Beachum
- Department of Biology, East Carolina University, Greenville, NC, 27858, USA
| | - Taylor D Hinnant
- Department of Biology, East Carolina University, Greenville, NC, 27858, USA
| | - Amelia J Blake
- Department of Biology, East Carolina University, Greenville, NC, 27858, USA
| | - Tierra Bynum
- Department of Biology, East Carolina University, Greenville, NC, 27858, USA
| | - E Parris Hickman
- Department of Biology, East Carolina University, Greenville, NC, 27858, USA
| | - Joseph Barnes
- Department of Biology, East Carolina University, Greenville, NC, 27858, USA
| | - Kaely L Churchill
- Department of Biology, East Carolina University, Greenville, NC, 27858, USA
| | - Tamesia S Roberts
- Department of Biology, East Carolina University, Greenville, NC, 27858, USA
| | - Denise E Zangwill
- Department of Biology, East Carolina University, Greenville, NC, 27858, USA
| | - Elizabeth T Ables
- Department of Biology, East Carolina University, Greenville, NC, 27858, USA.
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24
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Racko D, Benedetti F, Dorier J, Stasiak A. Are TADs supercoiled? Nucleic Acids Res 2019; 47:521-532. [PMID: 30395328 PMCID: PMC6344874 DOI: 10.1093/nar/gky1091] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2018] [Accepted: 10/22/2018] [Indexed: 12/13/2022] Open
Abstract
Topologically associating domains (TADs) are megabase-sized building blocks of interphase chromosomes in higher eukaryotes. TADs are chromosomal regions with increased frequency of internal interactions. On average a pair of loci separated by a given genomic distance contact each other 2–3 times more frequently when they are in the same TAD as compared to a pair of loci located in two neighbouring TADs. TADs are also functional blocks of chromosomes as enhancers and their cognate promoters are normally located in the same TAD, even if their genomic distance from each other can be as large as a megabase. The internal structure of TADs, causing their increased frequency of internal interactions, is not established yet. We survey here experimental studies investigating presence of supercoiling in interphase chromosomes. We also review numerical simulation studies testing whether transcription-induced supercoiling of chromatin fibres can explain how TADs are formed and how they can assure very efficient interactions between enhancers and their cognate promoters located in the same TAD.
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Affiliation(s)
- Dusan Racko
- Center for Integrative Genomics, University of Lausanne, 1015 Lausanne, Switzerland.,SIB Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland.,Polymer Institute of the Slovak Academy of Sciences, 842 36 Bratislava, Slovakia
| | - Fabrizio Benedetti
- Center for Integrative Genomics, University of Lausanne, 1015 Lausanne, Switzerland.,Vital-IT, SIB Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | - Julien Dorier
- Center for Integrative Genomics, University of Lausanne, 1015 Lausanne, Switzerland.,Vital-IT, SIB Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | - Andrzej Stasiak
- Center for Integrative Genomics, University of Lausanne, 1015 Lausanne, Switzerland.,SIB Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
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25
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Scoville D, Lichti-Kaiser K, Grimm S, Jetten A. GLIS3 binds pancreatic beta cell regulatory regions alongside other islet transcription factors. J Endocrinol 2019; 243:JOE-19-0182.R2. [PMID: 31340201 PMCID: PMC6938561 DOI: 10.1530/joe-19-0182] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Accepted: 07/24/2019] [Indexed: 12/13/2022]
Abstract
The Krüppel-like zinc finger transcription factor Gli-similar 3 (GLIS3) plays a critical role in the regulation of pancreatic beta cells, with global Glis3 knockout mice suffering from severe hyperglycemia and dying by post-natal day 11. In addition, GLIS3 has been shown to directly regulate the early endocrine marker Ngn3, as well as Ins2 gene expression in mature beta cells. We hypothesize that GLIS3 regulates several other genes critical to beta cell function, in addition to Ins2, by directly binding to regulatory regions. We therefore generated a pancreas-specific Glis3 deletion mouse model (Glis3Δpanc) using a Pdx1-driven Cre mouse line. Roughly 20% of these mice develop hyperglycemia by 8-weeks and lose most of their insulin expression. However, this did not appear to be due to loss of the beta cells themselves, as no change in cell death was observed. Indeed, presumptive beta cells appeared to persist as PDX1+/INS-/MAFA-/GLUT2- cells. Islet RNA-seq analysis combined with GLIS3 ChIP-seq analysis revealed apparent direct regulation of a variety of diabetes related genes, including Slc2a2 and Mafa. GLIS3 binding near these genes coincided with binding for other islet-enriched transcription factors, indicating these are distinct regulatory hubs. Our data indicates that GLIS3 not only regulates insulin expression, but several additional genes critical for beta cell function.
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Affiliation(s)
- David Scoville
- D Scoville, Immunity, Inflammation, and Disease Laboratory, NIEHS, Durham, United States
| | - Kristin Lichti-Kaiser
- K Lichti-Kaiser, Immunity, Inflammation, and Disease Laboratory, NIEHS, Durham, United States
| | - Sara Grimm
- S Grimm, Integrative Bioinformatics Support Group, NIEHS, Durham, United States
| | - Anton Jetten
- A Jetten, Immunity, Inflammation, and Disease Laboratory, NIEHS, Durham, United States
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26
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Myte R, Sundkvist A, Van Guelpen B, Harlid S. Circulating levels of inflammatory markers and DNA methylation, an analysis of repeated samples from a population based cohort. Epigenetics 2019; 14:649-659. [PMID: 31033411 PMCID: PMC6557598 DOI: 10.1080/15592294.2019.1603962] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
DNA methylation in blood may adapt to conditions affecting our health, such as inflammation, and multiple studies have identified differential DNA methylation related to smoking, obesity and various diseases. The purpose of this study was to evaluate previously reported, and explore possible new, associations between levels of inflammatory markers and DNA methylation in blood. We used a well-characterized study population consisting of 127 individuals, all of whom were participants in the population-based Västerbotten Intervention Programme cohort and had provided two blood samples, ten years apart. Levels of CRP and 160 other proteins were measured in plasma, and DNA methylation levels (assessed using the 850K Illumina Infinium MethylationEPIC BeadChip) were measured in white blood cell DNA. Associations between CpG methylation and protein levels were estimated using linear mixed models. In the study we were able to confirm the direction for 85 of 102 previously reported protein-methylation associations. Depicting associations in a network allowed us to identify CpG sites with associations to multiple proteins, and ten CpG sites were each associated with three or more inflammatory markers. Furthermore, two genetic regions included nine additional unreported CpG sites that may represent trans-acting methylation sites. Our study supports a complex interaction between DNA methylation and circulating proteins involved in the inflammatory response. The notion of trans-acting methylation sites affecting, or being affected by, the expression of genes on completely different chromosomes should be taken into account when interpreting results from epigenome-wide association studies.
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Affiliation(s)
- Robin Myte
- a Department of Radiation Sciences, Oncology , Umeå University , Umeå , Sweden
| | - Anneli Sundkvist
- a Department of Radiation Sciences, Oncology , Umeå University , Umeå , Sweden
| | - Bethany Van Guelpen
- a Department of Radiation Sciences, Oncology , Umeå University , Umeå , Sweden.,b Wallenberg Centre for Molecular Medicine , Umeå University , Umeå , Sweden
| | - Sophia Harlid
- a Department of Radiation Sciences, Oncology , Umeå University , Umeå , Sweden
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27
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Bojcsuk D, Bálint BL. Classification of different types of estrogen receptor alpha binding sites in MCF-7 cells. J Biotechnol 2019; 299:13-20. [PMID: 31039369 DOI: 10.1016/j.jbiotec.2019.04.016] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2019] [Revised: 04/17/2019] [Accepted: 04/18/2019] [Indexed: 01/15/2023]
Abstract
Estrogen Receptor alpha (ERα) is a ligand-activated transcription factor and it has a prominent role in both physiological and pathological processes of the reproductive system. ERα has been investigated extensively in breast cancer and the MCF-7 breast-cancer-derived cell line is a widely used model for the study of its behavior. In this paper we provide a systematic catalog of the possible scenarios of binding to more than 80,000 ERα transcription factor binding sites based on the mechanism of ERα binding to DNA (upon both vehicle and estradiol (E2) treatment). A key feature of the estrogen-driven genetic programs is the presence or absence of the specific response element referred to as the estrogen response element (ERE). While ERα-driven super-enhancers are key components of estrogen-dependent genetic programs, three additional classes of enhancers could be identified: one with the presence of ERE where the ERα bound to the DNA prior of E2-treatment, one where the E2 was required for ERα binding even in the presence of ERE, and one where the ERα binding is established through the response elements of the collaborating factors. Our results suggest that different scenarios of ERα binding result in different genetic programs.
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Affiliation(s)
- Dóra Bojcsuk
- Genomic Medicine and Bioinformatic Core Facility, Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Debrecen, 4032, Hungary
| | - Bálint László Bálint
- Genomic Medicine and Bioinformatic Core Facility, Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Debrecen, 4032, Hungary.
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28
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Bejjani F, Evanno E, Zibara K, Piechaczyk M, Jariel-Encontre I. The AP-1 transcriptional complex: Local switch or remote command? Biochim Biophys Acta Rev Cancer 2019; 1872:11-23. [PMID: 31034924 DOI: 10.1016/j.bbcan.2019.04.003] [Citation(s) in RCA: 140] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Revised: 04/19/2019] [Accepted: 04/22/2019] [Indexed: 12/19/2022]
Abstract
The ubiquitous family of AP-1 dimeric transcription complexes is involved in virtually all cellular and physiological functions. It is paramount for cells to reprogram gene expression in response to cues of many sorts and is involved in many tumorigenic processes. How AP-1 controls gene transcription has largely remained elusive till recently. The advent of the "omics" technologies permitting genome-wide studies of transcription factors has however changed and improved our view of AP-1 mechanistical actions. If these studies confirm that AP-1 can sometimes act as a local transcriptional switch operating in the vicinity of transcription start sites (TSS), they strikingly indicate that AP-1 principally operates as a remote command binding to distal enhancers, placing chromatin architecture dynamics at the heart of its transcriptional actions. They also unveil novel constraints operating on AP-1, as well as novel mechanisms used to regulate gene expression via transcription-pioneering-, chromatin-remodeling- and chromatin accessibility maintenance effects.
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Affiliation(s)
- Fabienne Bejjani
- Equipe Labellisée Ligue Nationale contre le Cancer, Institut de Génétique Moléculaire de Montpellier, University of Montpellier, CNRS, Montpellier, France; PRASE and Biology Department, Faculty of Sciences - I, Lebanese University, Beirut, Lebanon
| | - Emilie Evanno
- Equipe Labellisée Ligue Nationale contre le Cancer, Institut de Génétique Moléculaire de Montpellier, University of Montpellier, CNRS, Montpellier, France
| | - Kazem Zibara
- PRASE and Biology Department, Faculty of Sciences - I, Lebanese University, Beirut, Lebanon
| | - Marc Piechaczyk
- Equipe Labellisée Ligue Nationale contre le Cancer, Institut de Génétique Moléculaire de Montpellier, University of Montpellier, CNRS, Montpellier, France.
| | - Isabelle Jariel-Encontre
- Equipe Labellisée Ligue Nationale contre le Cancer, Institut de Génétique Moléculaire de Montpellier, University of Montpellier, CNRS, Montpellier, France.
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29
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Oh DH, Dassanayake M. Landscape of gene transposition-duplication within the Brassicaceae family. DNA Res 2019; 26:21-36. [PMID: 30380026 PMCID: PMC6379040 DOI: 10.1093/dnares/dsy035] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2018] [Accepted: 10/03/2018] [Indexed: 11/12/2022] Open
Abstract
We developed the CLfinder-OrthNet pipeline that detects co-linearity among multiple closely related genomes, finds orthologous gene groups, and encodes the evolutionary history of each orthologue group into a representative network (OrthNet). Using a search based on network topology, we identified 1,394 OrthNets that included gene transposition-duplication (tr-d) events, out of 17,432 identified in six Brassicaceae genomes. Occurrences of tr-d shared by subsets of Brassicaceae genomes mirrored the divergence times between the genomes and their repeat contents. The majority of tr-d events resulted in truncated open reading frames (ORFs) in the duplicated loci. However, the duplicates with complete ORFs were significantly more frequent than expected from random events. These were derived from older tr-d events and had a higher chance of being expressed. We also found an enrichment of tr-d events with complete loss of intergenic sequence conservation between the original and duplicated loci. Finally, we identified tr-d events uniquely found in two extremophytes among the six Brassicaceae genomes, including tr-d of SALT TOLERANCE 32 and ZINC TRANSPORTER 3 that relate to their adaptive evolution. CLfinder-OrthNet provides a flexible toolkit to compare gene order, visualize evolutionary paths among orthologues as networks, and identify gene loci that share an evolutionary history.
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Affiliation(s)
- Dong-Ha Oh
- Department of Biological Sciences, Louisiana State University, Baton Rouge, LA, USA
| | - Maheshi Dassanayake
- Department of Biological Sciences, Louisiana State University, Baton Rouge, LA, USA
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30
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Huyghe JR, Bien SA, Harrison TA, Kang HM, Chen S, Schmit SL, Conti DV, Qu C, Jeon J, Edlund CK, Greenside P, Wainberg M, Schumacher FR, Smith JD, Levine DM, Nelson SC, Sinnott-Armstrong NA, Albanes D, Alonso MH, Anderson K, Arnau-Collell C, Arndt V, Bamia C, Banbury BL, Baron JA, Berndt SI, Bézieau S, Bishop DT, Boehm J, Boeing H, Brenner H, Brezina S, Buch S, Buchanan DD, Burnett-Hartman A, Butterbach K, Caan BJ, Campbell PT, Carlson CS, Castellví-Bel S, Chan AT, Chang-Claude J, Chanock SJ, Chirlaque MD, Cho SH, Connolly CM, Cross AJ, Cuk K, Curtis KR, de la Chapelle A, Doheny KF, Duggan D, Easton DF, Elias SG, Elliott F, English DR, Feskens EJM, Figueiredo JC, Fischer R, FitzGerald LM, Forman D, Gala M, Gallinger S, Gauderman WJ, Giles GG, Gillanders E, Gong J, Goodman PJ, Grady WM, Grove JS, Gsur A, Gunter MJ, Haile RW, Hampe J, Hampel H, Harlid S, Hayes RB, Hofer P, Hoffmeister M, Hopper JL, Hsu WL, Huang WY, Hudson TJ, Hunter DJ, Ibañez-Sanz G, Idos GE, Ingersoll R, Jackson RD, Jacobs EJ, Jenkins MA, Joshi AD, Joshu CE, Keku TO, Key TJ, Kim HR, Kobayashi E, Kolonel LN, Kooperberg C, Kühn T, Küry S, Kweon SS, Larsson SC, Laurie CA, Le Marchand L, Leal SM, Lee SC, Lejbkowicz F, Lemire M, Li CI, Li L, Lieb W, Lin Y, Lindblom A, Lindor NM, Ling H, Louie TL, Männistö S, Markowitz SD, Martín V, Masala G, McNeil CE, Melas M, Milne RL, Moreno L, Murphy N, Myte R, Naccarati A, Newcomb PA, Offit K, Ogino S, Onland-Moret NC, Pardini B, Parfrey PS, Pearlman R, Perduca V, Pharoah PDP, Pinchev M, Platz EA, Prentice RL, Pugh E, Raskin L, Rennert G, Rennert HS, Riboli E, Rodríguez-Barranco M, Romm J, Sakoda LC, Schafmayer C, Schoen RE, Seminara D, Shah M, Shelford T, Shin MH, Shulman K, Sieri S, Slattery ML, Southey MC, Stadler ZK, Stegmaier C, Su YR, Tangen CM, Thibodeau SN, Thomas DC, Thomas SS, Toland AE, Trichopoulou A, Ulrich CM, Van Den Berg DJ, van Duijnhoven FJB, Van Guelpen B, van Kranen H, Vijai J, Visvanathan K, Vodicka P, Vodickova L, Vymetalkova V, Weigl K, Weinstein SJ, White E, Win AK, Wolf CR, Wolk A, Woods MO, Wu AH, Zaidi SH, Zanke BW, Zhang Q, Zheng W, Scacheri PC, Potter JD, Bassik MC, Kundaje A, Casey G, Moreno V, Abecasis GR, Nickerson DA, Gruber SB, Hsu L, Peters U. Discovery of common and rare genetic risk variants for colorectal cancer. Nat Genet 2019; 51:76-87. [PMID: 30510241 PMCID: PMC6358437 DOI: 10.1038/s41588-018-0286-6] [Citation(s) in RCA: 326] [Impact Index Per Article: 65.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2018] [Accepted: 10/22/2018] [Indexed: 12/17/2022]
Abstract
To further dissect the genetic architecture of colorectal cancer (CRC), we performed whole-genome sequencing of 1,439 cases and 720 controls, imputed discovered sequence variants and Haplotype Reference Consortium panel variants into genome-wide association study data, and tested for association in 34,869 cases and 29,051 controls. Findings were followed up in an additional 23,262 cases and 38,296 controls. We discovered a strongly protective 0.3% frequency variant signal at CHD1. In a combined meta-analysis of 125,478 individuals, we identified 40 new independent signals at P < 5 × 10-8, bringing the number of known independent signals for CRC to ~100. New signals implicate lower-frequency variants, Krüppel-like factors, Hedgehog signaling, Hippo-YAP signaling, long noncoding RNAs and somatic drivers, and support a role for immune function. Heritability analyses suggest that CRC risk is highly polygenic, and larger, more comprehensive studies enabling rare variant analysis will improve understanding of biology underlying this risk and influence personalized screening strategies and drug development.
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Affiliation(s)
- Jeroen R Huyghe
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Stephanie A Bien
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Tabitha A Harrison
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Hyun Min Kang
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Sai Chen
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Stephanie L Schmit
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - David V Conti
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Conghui Qu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Jihyoun Jeon
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Christopher K Edlund
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Peyton Greenside
- Biomedical Informatics Program, Stanford University, Stanford, CA, USA
| | - Michael Wainberg
- Department of Computer Science, Stanford University, Stanford, CA, USA
| | - Fredrick R Schumacher
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Joshua D Smith
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - David M Levine
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Sarah C Nelson
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | | | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - M Henar Alonso
- Cancer Prevention and Control Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
| | - Kristin Anderson
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, USA
| | - Coral Arnau-Collell
- Gastroenterology Department, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), University of Barcelona, Barcelona, Spain
| | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Christina Bamia
- Hellenic Health Foundation, Athens, Greece
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Barbara L Banbury
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - John A Baron
- Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Stéphane Bézieau
- Service de Génétique Médicale, Centre Hospitalier Universitaire (CHU) Nantes, Nantes, France
| | - D Timothy Bishop
- Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK
| | - Juergen Boehm
- Huntsman Cancer Institute and Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition (DIfE), Potsdam-Rehbrücke, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Stefanie Brezina
- Institute of Cancer Research, Department of Medicine I, Medical University of Vienna, Vienna, Austria
| | - Stephan Buch
- Department of Medicine I, University Hospital Dresden, Technische Universität Dresden (TU Dresden), Dresden, Germany
| | - Daniel D Buchanan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria, Australia
- Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, Victoria, Australia
| | | | - Katja Butterbach
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Bette J Caan
- Division of Research, Kaiser Permanente Medical Care Program, Oakland, CA, USA
| | - Peter T Campbell
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, GA, USA
| | - Christopher S Carlson
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Sergi Castellví-Bel
- Gastroenterology Department, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), University of Barcelona, Barcelona, Spain
| | - Andrew T Chan
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Cancer Epidemiology Group, University Medical Centre Hamburg-Eppendorf, University Cancer Centre Hamburg (UCCH), Hamburg, Germany
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Maria-Dolores Chirlaque
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Epidemiology, Regional Health Council, IMIB-Arrixaca, Murcia University, Murcia, Spain
| | - Sang Hee Cho
- Department of Hematology-Oncology, Chonnam National University Hospital, Hwasun, South Korea
| | - Charles M Connolly
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Amanda J Cross
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- Department of Surgery and Cancer, Imperial College London, London, UK
| | - Katarina Cuk
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Keith R Curtis
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Albert de la Chapelle
- Department of Cancer Biology and Genetics and the Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA
| | - Kimberly F Doheny
- Center for Inherited Disease Research (CIDR), Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - David Duggan
- Translational Genomics Research Institute - An Affiliate of City of Hope, Phoenix, AZ, USA
| | - Douglas F Easton
- 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
| | - Sjoerd G Elias
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Faye Elliott
- Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK
| | - Dallas R English
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Edith J M Feskens
- Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, The Netherlands
| | - Jane C Figueiredo
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Rocky Fischer
- University of Michigan Comprehensive Cancer Center, Ann Arbor, MI, USA
| | - Liesel M FitzGerald
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - David Forman
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Manish Gala
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Steven Gallinger
- Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada
| | - W James Gauderman
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Graham G Giles
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Elizabeth Gillanders
- Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD, USA
| | - Jian Gong
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Phyllis J Goodman
- SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - William M Grady
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - John S Grove
- University of Hawaii Cancer Research Center, Honolulu, HI, USA
| | - Andrea Gsur
- Institute of Cancer Research, Department of Medicine I, Medical University of Vienna, Vienna, Austria
| | - Marc J Gunter
- Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Robert W Haile
- Division of Oncology, Department of Medicine, Stanford University, Stanford, CA, USA
| | - Jochen Hampe
- Department of Medicine I, University Hospital Dresden, Technische Universität Dresden (TU Dresden), Dresden, Germany
| | - Heather Hampel
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Sophia Harlid
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
| | - Richard B Hayes
- Division of Epidemiology, Department of Population Health, New York University School of Medicine, New York, NY, USA
| | - Philipp Hofer
- Institute of Cancer Research, Department of Medicine I, Medical University of Vienna, Vienna, Austria
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Department of Epidemiology, School of Public Health and Institute of Health and Environment, Seoul National University, Seoul, South Korea
| | - Wan-Ling Hsu
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Wen-Yi Huang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Thomas J Hudson
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - David J Hunter
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Gemma Ibañez-Sanz
- Cancer Prevention and Control Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- Gastroenterology Department, Bellvitge University Hospital, L'Hospitalet de Llobregat, Barcelona, Spain
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute-IDIBELL, Hospitalet de Llobregat, Barcelona, Spain
| | - Gregory E Idos
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Roxann Ingersoll
- Center for Inherited Disease Research (CIDR), Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Rebecca D Jackson
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, The Ohio State University, Columbus, OH, USA
| | - Eric J Jacobs
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, GA, USA
| | - Mark A Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Amit D Joshi
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Corinne E Joshu
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Temitope O Keku
- Center for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, NC, USA
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Hyeong Rok Kim
- Department of Surgery, Chonnam National University Hwasun Hospital and Medical School, Hwasun, Korea
| | - Emiko Kobayashi
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Laurence N Kolonel
- Office of Public Health Studies, University of Hawaii Manoa, Honolulu, HI, USA
| | - Charles Kooperberg
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Tilman Kühn
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Sébastien Küry
- Service de Génétique Médicale, Centre Hospitalier Universitaire (CHU) Nantes, Nantes, France
| | - Sun-Seog Kweon
- Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, Korea
- Jeonnam Regional Cancer Center, Chonnam National University Hwasun Hospital, Hwasun, Korea
| | - Susanna C Larsson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Cecelia A Laurie
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | | | - Suzanne M Leal
- Center for Statistical Genetics, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Soo Chin Lee
- Department of Haematology-Oncology, National University Cancer Institute, Singapore, Singapore
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Flavio Lejbkowicz
- The Clalit Health Services, Personalized Genomic Service, Carmel, Haifa, Israel
- Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel
- Clalit National Cancer Control Center, Haifa, Israel
| | - Mathieu Lemire
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Christopher I Li
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Li Li
- Center for Community Health Integration and Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH, USA
| | - Wolfgang Lieb
- Institute of Epidemiology, PopGen Biobank, Christian-Albrechts-University Kiel, Kiel, Germany
| | - Yi Lin
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Annika Lindblom
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Noralane M Lindor
- Department of Health Science Research, Mayo Clinic, Scottsdale, AZ, USA
| | - Hua Ling
- Center for Inherited Disease Research (CIDR), Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Tin L Louie
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Satu Männistö
- Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland
| | - Sanford D Markowitz
- Departments of Medicine and Genetics, Case Comprehensive Cancer Center, Case Western Reserve University, and University Hospitals of Cleveland, Cleveland, OH, USA
| | - Vicente Martín
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Biomedicine Institute (IBIOMED), University of León, León, Spain
| | - Giovanna Masala
- Cancer Risk Factors and Life-Style Epidemiology Unit, Institute of Cancer Research, Prevention and Clinical Network - ISPRO, Florence, Italy
| | - Caroline E McNeil
- USC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
| | - Marilena Melas
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Roger L Milne
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Lorena Moreno
- Gastroenterology Department, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), University of Barcelona, Barcelona, Spain
| | - Neil Murphy
- Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Robin Myte
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
| | - Alessio Naccarati
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic
- Italian Institute for Genomic Medicine (IIGM), Turin, Italy
| | - Polly A Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Kenneth Offit
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Shuji Ogino
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - N Charlotte Onland-Moret
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Barbara Pardini
- Italian Institute for Genomic Medicine (IIGM), Turin, Italy
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Patrick S Parfrey
- The Clinical Epidemiology Unit, Memorial University Medical School, Newfoundland, Canada
| | - Rachel Pearlman
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Vittorio Perduca
- Laboratoire de Mathématiques Appliquées MAP5 (UMR CNRS 8145), Université Paris Descartes, Paris, France
- CESP (Inserm U1018), Facultés de Medicine Université Paris-Sud, UVSQ, Université Paris-Saclay, Gustave Roussy, Villejuif, France
| | - Paul D P Pharoah
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Mila Pinchev
- Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel
| | - Elizabeth A Platz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Ross L Prentice
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Elizabeth Pugh
- Center for Inherited Disease Research (CIDR), Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Leon Raskin
- Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Gad Rennert
- Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel
- Clalit National Cancer Control Center, Haifa, Israel
- Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - Hedy S Rennert
- Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel
- Clalit National Cancer Control Center, Haifa, Israel
- Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - Elio Riboli
- School of Public Health, Imperial College London, London, UK
| | - Miguel Rodríguez-Barranco
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Escuela Andaluza de Salud Pública. Instituto de Investigación Biosanitaria ibs.GRANADA, Hospitales Universitarios de Granada, Universidad de Granada, Granada, Spain
| | - Jane Romm
- Center for Inherited Disease Research (CIDR), Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Lori C Sakoda
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Clemens Schafmayer
- Department of General and Thoracic Surgery, University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany
| | - Robert E Schoen
- Department of Medicine and Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Daniela Seminara
- Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD, USA
| | - Mitul Shah
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Tameka Shelford
- Center for Inherited Disease Research (CIDR), Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Min-Ho Shin
- Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, Korea
| | | | - Sabina Sieri
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Martha L Slattery
- Department of Internal Medicine, University of Utah, Salt Lake City, UT, USA
| | - Melissa C Southey
- Genetic Epidemiology Laboratory, Department of Pathology, The University of Melbourne, Melbourne, Australia
| | - Zsofia K Stadler
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Yu-Ru Su
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Catherine M Tangen
- SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Stephen N Thibodeau
- Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Duncan C Thomas
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Sushma S Thomas
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Amanda E Toland
- Departments of Cancer Biology and Genetics and Internal Medicine, Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA
| | - Antonia Trichopoulou
- Hellenic Health Foundation, Athens, Greece
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Cornelia M Ulrich
- Huntsman Cancer Institute and Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - David J Van Den Berg
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | - Bethany Van Guelpen
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
| | - Henk van Kranen
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Joseph Vijai
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Pavel Vodicka
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Prague, Czech Republic
- Faculty of Medicine and Biomedical Center in Pilsen, Charles University, Pilsen, Czech Republic
| | - Ludmila Vodickova
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Prague, Czech Republic
- Faculty of Medicine and Biomedical Center in Pilsen, Charles University, Pilsen, Czech Republic
| | - Veronika Vymetalkova
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Prague, Czech Republic
- Faculty of Medicine and Biomedical Center in Pilsen, Charles University, Pilsen, Czech Republic
| | - Korbinian Weigl
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Medical Faculty, University of Heidelberg, Heidelberg, Germany
| | - Stephanie J Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Emily White
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Aung Ko Win
- Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - C Roland Wolf
- School of Medicine, University of Dundee, Dundee, Scotland, UK
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Michael O Woods
- Memorial University of Newfoundland, Discipline of Genetics, St. John's, Newfoundland, Canada
| | - Anna H Wu
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Syed H Zaidi
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Brent W Zanke
- Division of Hematology, University of Toronto, Toronto, Ontario, Canada
| | - Qing Zhang
- Genomics Shared Resource, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Peter C Scacheri
- Department of Genetics and Genome Sciences, Case Western Reserve University School of Medicine, Case Comprehensive Cancer Center, Cleveland, OH, USA
| | - John D Potter
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | | | - Anshul Kundaje
- Department of Computer Science, Stanford University, Stanford, CA, USA
- Department of Genetics, Stanford University, Stanford, CA, USA
| | - Graham Casey
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Victor Moreno
- Cancer Prevention and Control Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute-IDIBELL, Hospitalet de Llobregat, Barcelona, Spain
| | - Goncalo R Abecasis
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | | | - Stephen B Gruber
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Li Hsu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
- Department of Epidemiology, University of Washington, Seattle, WA, USA.
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Kawakami H, Johnson A, Fujita Y, Swearer A, Wada N, Kawakami Y. Characterization of cis-regulatory elements for Fgf10 expression in the chick embryo. Dev Dyn 2018; 247:1253-1263. [PMID: 30325084 DOI: 10.1002/dvdy.24682] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2018] [Revised: 09/28/2018] [Accepted: 10/11/2018] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Fgf10 is expressed in various tissues and organs, such as the limb bud, heart, inner ear, and head mesenchyme. Previous studies identified Fgf10 enhancers for the inner ear and heart. However, Fgf10 enhancers for other tissues have not been identified. RESULTS By using primary culture chick embryo lateral plate mesoderm cells, we compared activities of deletion constructs of the Fgf10 promoter region, cloned into a promoter-less luciferase reporter vector. We identified a 0.34-kb proximal promoter that can activate luciferase expression. Then, we cloned 11 evolutionarily conserved sequences located within or outside of the Fgf10 gene into the 0.34-kb promoter-luciferase vector, and tested their activities in vitro using primary cultured cells. Two sequences showed the highest activities. By using the Tol2 system and electroporation into chick embryos, activities of the 0.34-kb promoter with and without the two sequences were tested in vivo. No activities were detected in limb buds. However, the 0.34-kb promoter exhibited activities in the dorsal midline of the brain, while Fgf10 is detected in broader region in the brain. The two noncoding sequences negatively acted on the 0.34-kb promoter in the brain. CONCLUSIONS The proximal 0.34-kb promoter has activities to drive expression in restricted areas of the brain. Developmental Dynamics 247:1253-1263, 2018. © 2018 Wiley Periodicals, Inc.
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Affiliation(s)
- Hiroko Kawakami
- Department of Genetics, Cell Biology and Development, University of Minnesota, Minneapolis, Minnesota.,Stem Cell Institute, University of Minnesota, Minneapolis, Minnesota.,Developmental Biology Center, University of Minnesota, Minneapolis, Minnesota
| | - Austin Johnson
- Department of Genetics, Cell Biology and Development, University of Minnesota, Minneapolis, Minnesota
| | - Yu Fujita
- Department of Applied Biological Science, Tokyo University of Science, Noda, Chiba, Japan
| | - Avery Swearer
- Department of Genetics, Cell Biology and Development, University of Minnesota, Minneapolis, Minnesota
| | - Naoyuki Wada
- Department of Applied Biological Science, Tokyo University of Science, Noda, Chiba, Japan
| | - Yasuhiko Kawakami
- Department of Genetics, Cell Biology and Development, University of Minnesota, Minneapolis, Minnesota.,Stem Cell Institute, University of Minnesota, Minneapolis, Minnesota.,Developmental Biology Center, University of Minnesota, Minneapolis, Minnesota
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Mikaeili H, Sandi M, Bayot A, Al-Mahdawi S, Pook MA. FAST-1 antisense RNA epigenetically alters FXN expression. Sci Rep 2018; 8:17217. [PMID: 30464193 PMCID: PMC6249312 DOI: 10.1038/s41598-018-35639-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2018] [Accepted: 11/06/2018] [Indexed: 12/13/2022] Open
Abstract
Friedreich ataxia (FRDA) is a multisystem genetic disorder caused by GAA repeat expansion mutations within the FXN gene, resulting in heterochromatin formation and deficiency of frataxin protein. Elevated levels of the FXN antisense transcript (FAST-1) have previously been detected in FRDA. To investigate the effects of FAST-1 on the FXN gene expression, we first stably overexpressed FAST-1 in non-FRDA cell lines and then we knocked down FAST-1 in FRDA fibroblast cells. We observed decreased FXN expression in each FAST-1 overexpressing cell type compared to control cells. We also found that FAST-1 overexpression is associated with both CCCTC-Binding Factor (CTCF) depletion and heterochromatin formation at the 5'UTR of the FXN gene. We further showed that knocking down FAST-1 in FRDA fibroblast cells significantly increased FXN expression. Our results indicate that FAST-1 can act in trans in a similar manner to the cis-acting FAST-1 overexpression that has previously been identified in FRDA fibroblasts. The effects of stably transfected FAST-1 expression on CTCF occupancy and heterochromatin formation at the FXN locus suggest a direct role for FAST-1 in the FRDA molecular disease mechanism. Our findings also support the hypothesis that inhibition of FAST-1 may be a potential approach for FRDA therapy.
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Affiliation(s)
- Hajar Mikaeili
- Division of Biosciences, Department of Life Sciences, College of Health & Life Sciences, and Synthetic Biology Theme, Institute of Environment, Health & Societies, Brunel University London, Uxbridge, United Kingdom
| | - Madhavi Sandi
- Division of Biosciences, Department of Life Sciences, College of Health & Life Sciences, and Synthetic Biology Theme, Institute of Environment, Health & Societies, Brunel University London, Uxbridge, United Kingdom
| | - Aurélien Bayot
- Division of Biosciences, Department of Life Sciences, College of Health & Life Sciences, and Synthetic Biology Theme, Institute of Environment, Health & Societies, Brunel University London, Uxbridge, United Kingdom
- Mitochondrial Biology Group, CNRS UMR 3691, Departement of Cell Biology and Infection, Institut Pasteur, Paris, France
| | - Sahar Al-Mahdawi
- Division of Biosciences, Department of Life Sciences, College of Health & Life Sciences, and Synthetic Biology Theme, Institute of Environment, Health & Societies, Brunel University London, Uxbridge, United Kingdom
| | - Mark A Pook
- Division of Biosciences, Department of Life Sciences, College of Health & Life Sciences, and Synthetic Biology Theme, Institute of Environment, Health & Societies, Brunel University London, Uxbridge, United Kingdom.
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33
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Allen M, Wang X, Serie DJ, Strickland SL, Burgess JD, Koga S, Younkin CS, Nguyen TT, Malphrus KG, Lincoln SJ, Alamprese M, Zhu K, Chang R, Carrasquillo MM, Kouri N, Murray ME, Reddy JS, Funk C, Price ND, Golde TE, Younkin SG, Asmann YW, Crook JE, Dickson DW, Ertekin-Taner N. Divergent brain gene expression patterns associate with distinct cell-specific tau neuropathology traits in progressive supranuclear palsy. Acta Neuropathol 2018; 136:709-727. [PMID: 30136084 PMCID: PMC6208732 DOI: 10.1007/s00401-018-1900-5] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2017] [Revised: 07/26/2018] [Accepted: 08/15/2018] [Indexed: 12/25/2022]
Abstract
Progressive supranuclear palsy (PSP) is a neurodegenerative parkinsonian disorder characterized by tau pathology in neurons and glial cells. Transcriptional regulation has been implicated as a potential mechanism in conferring disease risk and neuropathology for some PSP genetic risk variants. However, the role of transcriptional changes as potential drivers of distinct cell-specific tau lesions has not been explored. In this study, we integrated brain gene expression measurements, quantitative neuropathology traits and genome-wide genotypes from 268 autopsy-confirmed PSP patients to identify transcriptional associations with unique cell-specific tau pathologies. We provide individual transcript and transcriptional network associations for quantitative oligodendroglial (coiled bodies = CB), neuronal (neurofibrillary tangles = NFT), astrocytic (tufted astrocytes = TA) tau pathology, and tau threads and genomic annotations of these findings. We identified divergent patterns of transcriptional associations for the distinct tau lesions, with the neuronal and astrocytic neuropathologies being the most different. We determined that NFT are positively associated with a brain co-expression network enriched for synaptic and PSP candidate risk genes, whereas TA are positively associated with a microglial gene-enriched immune network. In contrast, TA is negatively associated with synaptic and NFT with immune system transcripts. Our findings have implications for the diverse molecular mechanisms that underlie cell-specific vulnerability and disease risk in PSP.
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Affiliation(s)
- Mariet Allen
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, 32224, USA
| | - Xue Wang
- Department of Health Sciences Research, Mayo Clinic, Jacksonville, FL, 32224, USA
| | - Daniel J Serie
- Department of Health Sciences Research, Mayo Clinic, Jacksonville, FL, 32224, USA
| | | | - Jeremy D Burgess
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, 32224, USA
| | - Shunsuke Koga
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, 32224, USA
| | - Curtis S Younkin
- Division of Information Technology, Mayo Clinic, Jacksonville, FL, 32224, USA
| | - Thuy T Nguyen
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, 32224, USA
| | | | - Sarah J Lincoln
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, 32224, USA
| | | | - Kuixi Zhu
- The Center for Innovation in Brain Sciences, University of Arizona, Tucson, AZ, 85721, USA
| | - Rui Chang
- The Center for Innovation in Brain Sciences, University of Arizona, Tucson, AZ, 85721, USA
- Department of Neurology, University of Arizona, Tucson, AZ, 85721, USA
| | | | - Naomi Kouri
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, 32224, USA
| | - Melissa E Murray
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, 32224, USA
| | - Joseph S Reddy
- Department of Health Sciences Research, Mayo Clinic, Jacksonville, FL, 32224, USA
| | - Cory Funk
- Institute for Systems Biology, 401 Terry Avenue N, Seattle, WA, 98109, USA
| | - Nathan D Price
- Institute for Systems Biology, 401 Terry Avenue N, Seattle, WA, 98109, USA
| | - Todd E Golde
- Department of Neuroscience, Center for Translational Research in Neurodegenerative Disease, McKnight Brain Institute, University of Florida, Gainesville, FL, 32610, USA
| | - Steven G Younkin
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, 32224, USA
| | - Yan W Asmann
- Department of Health Sciences Research, Mayo Clinic, Jacksonville, FL, 32224, USA
| | - Julia E Crook
- Department of Health Sciences Research, Mayo Clinic, Jacksonville, FL, 32224, USA
| | - Dennis W Dickson
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, 32224, USA
| | - Nilüfer Ertekin-Taner
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, 32224, USA.
- Department of Neurology, Mayo Clinic, 4500 San Pablo Road, Birdsall 3, Jacksonville, FL, 32224, USA.
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Espitia Jaimes C, Fish RJ, Neerman-Arbez M. Local chromatin interactions contribute to expression of the fibrinogen gene cluster. J Thromb Haemost 2018; 16:2070-2082. [PMID: 30039577 DOI: 10.1111/jth.14248] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2018] [Indexed: 02/03/2023]
Abstract
Essentials The fibrinogen gene cluster is flanked by CCCTC-binding factor (CTCF) interaction sites. Chromatin looping of the fibrinogen cluster was demonstrated by chromosome conformation capture. Deleting a CTCF interaction site alters chromatin looping and halves fibrinogen expression. Looping of the human fibrinogen locus is functionally linked to fibrinogen gene expression. SUMMARY Background The coordinately regulated genes encoding human fibrinogen are clustered. This evolutionarily conserved configuration provides a possible mechanism for co-regulation whereby regulatory elements influence gene expression locally. The cluster is flanked by CCCTC-binding factor (CTCF) interaction sites that are candidate insulator regions mediating chromatin looping. Objectives To further our understanding of fibrinogen gene regulation, we aimed to investigate whether interactions exist between parts of the fibrinogen locus and how these contacts contribute to fibrinogen expression. Methods We used chromosome conformation capture in cultured cell lines to detect chromatin interactions at the fibrinogen gene cluster. We generated clonal cell lines where two CTCF interaction sites at one end of the locus were deleted using CRISPR-Cas9-mediated genome editing. Fibrinogen expression and protein production were measured using qRT-PCR and ELISA, respectively. Results We detected proximity between the ends of the fibrinogen locus, regardless of whether cells express fibrinogen. An interaction between the FGA promoter and the edge of the locus was more frequent in fibrinogen-expressing cells. Deletion of a CTCF site at one edge of the cluster altered chromatin interactions, reduced steady-state expression of FGB and FGG mRNA, and led to a halving of secreted fibrinogen. These phenotypes were completely restored by reintroduction of the CTCF interaction motif in previously motif-deleted clones. Conclusions Chromatin interactions are important for the coordinated regulation of the human fibrinogen genes. This finding furthers our comprehension of how fibrinogen is produced and identifies a possible source of variability in plasma fibrinogen levels seen in populations.
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Affiliation(s)
- C Espitia Jaimes
- Department of Genetic Medicine and Development, University of Geneva, Faculty of Medicine, Geneva, Switzerland
| | - R J Fish
- Department of Genetic Medicine and Development, University of Geneva, Faculty of Medicine, Geneva, Switzerland
| | - M Neerman-Arbez
- Department of Genetic Medicine and Development, University of Geneva, Faculty of Medicine, Geneva, Switzerland
- Institute of Genetics and Genomics in Geneva (iGE3), Geneva, Switzerland
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The advances in CRISPR technology and 3D genome. Semin Cell Dev Biol 2018; 90:54-61. [PMID: 30004018 DOI: 10.1016/j.semcdb.2018.07.009] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2018] [Accepted: 07/08/2018] [Indexed: 12/26/2022]
Abstract
The clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein (Cas) system is a prokaryotic immune system that used to resist foreign genetic factors. It rapidly becomes the hot technology in life sciences and is applies for genome editing to solve the problem of genome-derived diseases. Using CRISPR/Cas technique, the biological DNA sequence can be repaired, cut, replaced, or added. It can effectively change the human stem cells and is expected to achieve results in the treatment. Compared with ZFN and TALEN genome editing techniques, CRISPR is more effective, accurate, and convenient. The application of CRISPR technique in three dimensional (3D) genome structure makes us understand the relationship between linear DNA sequence and 3D chromatin structure. Utilizing CRISPR/Cas9 genome editing to reverse or delete CTCF binding sites, to recognize changes of topological isomerism of the genome and interactions between chromatin loops. The purpose of this review is to introduce the characteristics and classification of the current CRISPR/Cas system, multiple functions, and potential therapeutic uses, as well as to outline the effect of the technique on chromatin loops by changing CTCF sites in 3D genomes. We will also briefly describe the importance of ethical dilemmas to be faced in CRISPR applications and provide a perspective for potential CRISPR considerations.
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Blokhin I, Khorkova O, Hsiao J, Wahlestedt C. Developments in lncRNA drug discovery: where are we heading? Expert Opin Drug Discov 2018; 13:837-849. [PMID: 30078338 DOI: 10.1080/17460441.2018.1501024] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
INTRODUCTION The central dogma of molecular biology, which states that the only role of long RNA transcripts is to convey information from gene to protein, was brought into question in recent years due to discovery of the extensive presence and complex roles of long noncoding RNAs (lncRNAs). Furthermore, lncRNAs were found to be involved in pathogenesis of multiple diseases and thus represent a new class of therapeutic targets. Translational efforts in the lncRNA field have been augmented by progress in optimizing the chemistry and delivery platforms of lncRNA-targeting modalities, including oligonucleotide-based drugs and CRISPR-Cas9. Areas covered: This review covers the current advances in characterizing diversity and biological functions of lncRNA focusing on their therapeutic potential in selected therapeutic areas. Expert opinion: Due to accelerating parallel progress in lncRNA biology and lncRNA-compatible therapeutic modalities, it is likely that lncRNA-dependent mechanisms of pathogenesis will soon be targeted in various disorders, including neurological, psychiatric, cardiovascular, infectious diseases, and cancer. Significant efforts, however, are still required to better understand the biology of both lncRNAs and lncRNA-targeting drugs. Further work is needed in the areas of lncRNA nomenclature, database representation, intra/interfield communication, and education of the community at large.
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Affiliation(s)
- Ilya Blokhin
- a Center for Therapeutic Innovation and Department of Psychiatry and Behavioral Sciences , University of Miami Miller School of Medicine , Miami , FL , USA
| | | | | | - Claes Wahlestedt
- a Center for Therapeutic Innovation and Department of Psychiatry and Behavioral Sciences , University of Miami Miller School of Medicine , Miami , FL , USA
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Palmisano I, Di Giovanni S. Advances and Limitations of Current Epigenetic Studies Investigating Mammalian Axonal Regeneration. Neurotherapeutics 2018; 15:529-540. [PMID: 29948919 PMCID: PMC6095777 DOI: 10.1007/s13311-018-0636-1] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Axonal regeneration relies on the expression of regenerative associated genes within a coordinated transcriptional programme, which is finely tuned as a result of the activation of several regenerative signalling pathways. In mammals, this chain of events occurs in neurons following peripheral axonal injury, however it fails upon axonal injury in the central nervous system, such as in the spinal cord and the brain. Accumulating evidence has been suggesting that epigenetic control is a key factor to initiate and sustain the regenerative transcriptional response and that it might contribute to regenerative success versus failure. This review will discuss experimental evidence so far showing a role for epigenetic regulation in models of peripheral and central nervous system axonal injury. It will also propose future directions to fill key knowledge gaps and to test whether epigenetic control might indeed discriminate between regenerative success and failure.
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Affiliation(s)
- Ilaria Palmisano
- Laboratory for Neuroregeneration, Centre for Restorative Neuroscience, Division of Brain Sciences, Department of Medicine, Imperial College London, London, UK.
| | - Simone Di Giovanni
- Laboratory for Neuroregeneration, Centre for Restorative Neuroscience, Division of Brain Sciences, Department of Medicine, Imperial College London, London, UK.
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