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Wernig-Zorc S, Schwartz U, Martínez-Rodríguez P, Inalef J, Pavicic F, Ehrenfeld P, Längst G, Maldonado R. The Long Non-Coding RNA MALAT1 Modulates NR4A1 Expression through a Downstream Regulatory Element in Specific Cancer Cell Types. Int J Mol Sci 2024; 25:5515. [PMID: 38791553 PMCID: PMC11121914 DOI: 10.3390/ijms25105515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Revised: 05/07/2024] [Accepted: 05/11/2024] [Indexed: 05/26/2024] Open
Abstract
Long non-coding RNAs (lncRNAs) have been shown to modulate gene expression and are involved in the initiation and progression of various cancer types. Despite the wealth of studies describing transcriptome changes upon lncRNA knockdown, there is limited information describing lncRNA-mediated effects on regulatory elements (REs) modulating gene expression. In this study, we investigated how the metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) lncRNA regulates primary target genes using time-resolved MALAT1 knockdown followed by parallel RNA-seq and ATAC-seq assays. The results revealed that MALAT1 primarily regulates specific protein-coding genes and a substantial decrease in the accessibility downstream of the NR4A1 gene that was associated with a decreased NR4A1 expression. Moreover, the presence of an NR4A1-downstream RE was demonstrated by CRISPR-i assays to define a functional MALAT1/NR4A1 axis. By analyzing TCGA data, we identified a positive correlation between NR4A1 expression and NR4A1-downstream RE accessibility in breast cancer but not in pancreatic cancer. Accordingly, this regulatory mechanism was experimentally validated in breast cancer cells (MCF7) but not in pancreatic duct epithelial carcinoma (PANC1) cells. Therefore, our results demonstrated that MALAT1 is involved in a molecular mechanism that fine-tunes NR4A1 expression by modulating the accessibility of a downstream RE in a cell type-specific manner.
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Affiliation(s)
- Sara Wernig-Zorc
- Regensburg Center for Biochemistry [RCB], Universität Regensburg, 93053 Regensburg, Germany; (S.W.-Z.)
- St. Anna Children’s Cancer Research Institute, 1090 Vienna, Austria
| | - Uwe Schwartz
- NGS Analysis Center, Biology and Pre-Clinical Medicine, Universität Regensburg, 93053 Regensburg, Germany
| | - Paulina Martínez-Rodríguez
- Programa de Doctorado en Ciencias, mención Biología Celular y Molecular Aplicada, Universidad de La Frontera, Temuco 4811230, Chile;
| | - Josefa Inalef
- Institute of Anatomy, Histology, and Pathology, Faculty of Medicine, Universidad Austral de Chile, 5090000 Valdivia, Chile (P.E.)
| | - Francisca Pavicic
- Institute of Anatomy, Histology, and Pathology, Faculty of Medicine, Universidad Austral de Chile, 5090000 Valdivia, Chile (P.E.)
| | - Pamela Ehrenfeld
- Institute of Anatomy, Histology, and Pathology, Faculty of Medicine, Universidad Austral de Chile, 5090000 Valdivia, Chile (P.E.)
- Center for Interdisciplinary Studies of the Nervous System [CISNe], Universidad Austral de Chile, 5090000 Valdivia, Chile
| | - Gernot Längst
- Regensburg Center for Biochemistry [RCB], Universität Regensburg, 93053 Regensburg, Germany; (S.W.-Z.)
| | - Rodrigo Maldonado
- Facultad de Medicina y Ciencias, Universidad San Sebastián, 5110246 Valdivia, Chile
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52
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Joosten SEP, Gregoricchio S, Stelloo S, Yapıcı E, Huang CCF, Yavuz K, Donaldson Collier M, Morova T, Altintaş UB, Kim Y, Canisius S, Moelans CB, van Diest PJ, Korkmaz G, Lack NA, Vermeulen M, Linn SC, Zwart W. Estrogen receptor 1 chromatin profiling in human breast tumors reveals high inter-patient heterogeneity with enrichment of risk SNPs and enhancer activity at most-conserved regions. Genome Res 2024; 34:539-555. [PMID: 38719469 PMCID: PMC11146591 DOI: 10.1101/gr.278680.123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 04/11/2024] [Indexed: 06/05/2024]
Abstract
Estrogen Receptor 1 (ESR1; also known as ERα, encoded by ESR1 gene) is the main driver and prime drug target in luminal breast cancer. ESR1 chromatin binding is extensively studied in cell lines and a limited number of human tumors, using consensi of peaks shared among samples. However, little is known about inter-tumor heterogeneity of ESR1 chromatin action, along with its biological implications. Here, we use a large set of ESR1 ChIP-seq data from 70 ESR1+ breast cancers to explore inter-patient heterogeneity in ESR1 DNA binding to reveal a striking inter-tumor heterogeneity of ESR1 action. Of note, commonly shared ESR1 sites show the highest estrogen-driven enhancer activity and are most engaged in long-range chromatin interactions. In addition, the most commonly shared ESR1-occupied enhancers are enriched for breast cancer risk SNP loci. We experimentally confirm SNVs to impact chromatin binding potential for ESR1 and its pioneer factor FOXA1. Finally, in the TCGA breast cancer cohort, we can confirm these variations to associate with differences in expression for the target gene. Cumulatively, we reveal a natural hierarchy of ESR1-chromatin interactions in breast cancers within a highly heterogeneous inter-tumor ESR1 landscape, with the most common shared regions being most active and affected by germline functional risk SNPs for breast cancer development.
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Affiliation(s)
- Stacey E P Joosten
- Division of Oncogenomics, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands
- Oncode Institute, The Netherlands
| | - Sebastian Gregoricchio
- Division of Oncogenomics, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands
- Oncode Institute, The Netherlands
| | - Suzan Stelloo
- Oncode Institute, The Netherlands
- Department of Molecular Biology, Faculty of Science, Radboud Institute for Molecular Life Sciences, Radboud University Nijmegen, 6500HB Nijmegen, The Netherlands
| | - Elif Yapıcı
- Koç University School of Medicine, 34450 Istanbul, Turkey
- Koç University Research Center for Translational Medicine (KUTTAM), 34450 Istanbul, Turkey
| | - Chia-Chi Flora Huang
- Vancouver Prostate Centre, University of British Columbia, Vancouver, British Columbia, V6H 3Z6 Canada
| | - Kerim Yavuz
- Vancouver Prostate Centre, University of British Columbia, Vancouver, British Columbia, V6H 3Z6 Canada
| | - Maria Donaldson Collier
- Division of Oncogenomics, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands
- Oncode Institute, The Netherlands
| | - Tunç Morova
- Vancouver Prostate Centre, University of British Columbia, Vancouver, British Columbia, V6H 3Z6 Canada
| | - Umut Berkay Altintaş
- Vancouver Prostate Centre, University of British Columbia, Vancouver, British Columbia, V6H 3Z6 Canada
| | - Yongsoo Kim
- Department of Pathology, Amsterdam University Medical Center, Cancer Center Amsterdam, 1081 HV Amsterdam, The Netherlands
| | - Sander Canisius
- Division of Molecular Pathology, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands
- Division of Molecular Carcinogenesis, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands
| | - Cathy B Moelans
- Department of Pathology, Utrecht University Medical Centre, 3584 CX Utrecht, The Netherlands
| | - Paul J van Diest
- Department of Pathology, Utrecht University Medical Centre, 3584 CX Utrecht, The Netherlands
| | - Gozde Korkmaz
- Koç University School of Medicine, 34450 Istanbul, Turkey
- Koç University Research Center for Translational Medicine (KUTTAM), 34450 Istanbul, Turkey
| | - Nathan A Lack
- Koç University School of Medicine, 34450 Istanbul, Turkey
- Koç University Research Center for Translational Medicine (KUTTAM), 34450 Istanbul, Turkey
- Vancouver Prostate Centre, University of British Columbia, Vancouver, British Columbia, V6H 3Z6 Canada
| | - Michiel Vermeulen
- Oncode Institute, The Netherlands
- Department of Molecular Biology, Faculty of Science, Radboud Institute for Molecular Life Sciences, Radboud University Nijmegen, 6500HB Nijmegen, The Netherlands
- Division of Molecular Genetics, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands
| | - Sabine C Linn
- Division of Molecular Pathology, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands
- Department of Pathology, Utrecht University Medical Centre, 3584 CX Utrecht, The Netherlands
- Department of Medical Oncology, Antoni van Leeuwenhoek Hospital, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands
| | - Wilbert Zwart
- Division of Oncogenomics, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands;
- Oncode Institute, The Netherlands
- Department of Biomedical Engineering, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
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53
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Yan Z, Yang J, Wei WT, Zhou ML, Mo DX, Wan X, Ma R, Wu MM, Huang JH, Liu YJ, Lv FH, Li MH. A time-resolved multi-omics atlas of transcriptional regulation in response to high-altitude hypoxia across whole-body tissues. Nat Commun 2024; 15:3970. [PMID: 38730227 PMCID: PMC11087590 DOI: 10.1038/s41467-024-48261-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 04/23/2024] [Indexed: 05/12/2024] Open
Abstract
High-altitude hypoxia acclimatization requires whole-body physiological regulation in highland immigrants, but the underlying genetic mechanism has not been clarified. Here we use sheep as an animal model for low-to-high altitude translocation. We generate multi-omics data including whole-genome sequences, time-resolved bulk RNA-Seq, ATAC-Seq and single-cell RNA-Seq from multiple tissues as well as phenotypic data from 20 bio-indicators. We characterize transcriptional changes of all genes in each tissue, and examine multi-tissue temporal dynamics and transcriptional interactions among genes. Particularly, we identify critical functional genes regulating the short response to hypoxia in each tissue (e.g., PARG in the cerebellum and HMOX1 in the colon). We further identify TAD-constrained cis-regulatory elements, which suppress the transcriptional activity of most genes under hypoxia. Phenotypic and transcriptional evidence indicate that antenatal hypoxia could improve hypoxia tolerance in offspring. Furthermore, we provide time-series expression data of candidate genes associated with human mountain sickness (e.g., BMPR2) and high-altitude adaptation (e.g., HIF1A). Our study provides valuable resources and insights for future hypoxia-related studies in mammals.
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Affiliation(s)
- Ze Yan
- State Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, 100193, China
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Ji Yang
- State Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, 100193, China
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Wen-Tian Wei
- State Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, 100193, China
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Ming-Liang Zhou
- Sichuan Academy of Grassland Science, Chengdu, 611743, China
| | - Dong-Xin Mo
- State Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, 100193, China
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Xing Wan
- State Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, 100193, China
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Rui Ma
- State Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, 100193, China
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Mei-Ming Wu
- State Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, 100193, China
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Jia-Hui Huang
- State Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, 100193, China
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Ya-Jing Liu
- State Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, 100193, China
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Feng-Hua Lv
- State Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, 100193, China
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Meng-Hua Li
- State Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, 100193, China.
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
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54
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Liu Y, Yao Y, Zhang Y, Xu C, Yang T, Qu M, Lu B, Song X, Pan X, Zhou W, Cui X. Identification of prognostic stemness-related genes in kidney renal papillary cell carcinoma. BMC Med Genomics 2024; 17:121. [PMID: 38702698 PMCID: PMC11067181 DOI: 10.1186/s12920-024-01870-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 04/09/2024] [Indexed: 05/06/2024] Open
Abstract
BACKGROUND Kidney renal papillary cell carcinoma (KIRP) is the second most prevalent malignant cancer originating from the renal epithelium. Nowadays, cancer stem cells and stemness-related genes (SRGs) are revealed to play important roles in the carcinogenesis and metastasis of various tumors. Consequently, we aim to investigate the underlying mechanisms of SRGs in KIRP. METHODS RNA-seq profiles of 141 KIRP samples were downloaded from the TCGA database, based on which we calculated the mRNA expression-based stemness index (mRNAsi). Next, we selected the differentially expressed genes (DEGs) between low- and high-mRNAsi groups. Then, we utilized weighted gene correlation network analysis (WGCNA) and univariate Cox analysis to identify prognostic SRGs. Afterwards, SRGs were included in the multivariate Cox regression analysis to establish a prognostic model. In addition, a regulatory network was constructed by Pearson correlation analysis, incorporating key genes, upstream transcription factors (TFs), and downstream signaling pathways. Finally, we used Connectivity map analysis to identify the potential inhibitors. RESULTS In total, 1124 genes were characterized as DEGs between low- and high-RNAsi groups. Based on six prognostic SRGs (CCKBR, GPR50, GDNF, SPOCK3, KC877982.1, and MYO15A), a prediction model was established with an area under curve of 0.861. Furthermore, among the TFs, genes, and signaling pathways that had significant correlations, the CBX2-ASPH-Notch signaling pathway was the most significantly correlated. Finally, resveratrol might be a potential inhibitor for KIRP. CONCLUSIONS We suggested that CBX2 could regulate ASPH through activation of the Notch signaling pathway, which might be correlated with the carcinogenesis, development, and unfavorable prognosis of KIRP.
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Affiliation(s)
- Yifan Liu
- Department of Urology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, No.1665 Kongjiang Road, Shanghai, 200092, China
| | - Yuntao Yao
- Department of Urology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, No.1665 Kongjiang Road, Shanghai, 200092, China
| | - Yu Zhang
- Tongji University School of Medicine, Shanghai, 200092, China
| | - Chengdang Xu
- Tongji University School of Medicine, Shanghai, 200092, China
| | - Tianyue Yang
- Department of Urology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, No.1665 Kongjiang Road, Shanghai, 200092, China
| | - Mingyu Qu
- Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Bingnan Lu
- Department of Urology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, No.1665 Kongjiang Road, Shanghai, 200092, China
| | - Xu Song
- Department of Urology, Shanghai Seventh People's Hospital, Shanghai, Shandong, 200137, China.
| | - Xiuwu Pan
- Department of Urology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, No.1665 Kongjiang Road, Shanghai, 200092, China.
| | - Wang Zhou
- Department of Urology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, No.1665 Kongjiang Road, Shanghai, 200092, China.
| | - Xingang Cui
- Department of Urology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, No.1665 Kongjiang Road, Shanghai, 200092, China.
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55
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Tsitkov S, Valentine K, Kozareva V, Donde A, Frank A, Lei S, E Van Eyk J, Finkbeiner S, Rothstein JD, Thompson LM, Sareen D, Svendsen CN, Fraenkel E. Disease related changes in ATAC-seq of iPSC-derived motor neuron lines from ALS patients and controls. Nat Commun 2024; 15:3606. [PMID: 38697975 PMCID: PMC11066062 DOI: 10.1038/s41467-024-47758-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 04/09/2024] [Indexed: 05/05/2024] Open
Abstract
Amyotrophic Lateral Sclerosis (ALS), like many other neurodegenerative diseases, is highly heritable, but with only a small fraction of cases explained by monogenic disease alleles. To better understand sporadic ALS, we report epigenomic profiles, as measured by ATAC-seq, of motor neuron cultures derived from a diverse group of 380 ALS patients and 80 healthy controls. We find that chromatin accessibility is heavily influenced by sex, the iPSC cell type of origin, ancestry, and the inherent variance arising from sequencing. Once these covariates are corrected for, we are able to identify ALS-specific signals in the data. Additionally, we find that the ATAC-seq data is able to predict ALS disease progression rates with similar accuracy to methods based on biomarkers and clinical status. These results suggest that iPSC-derived motor neurons recapitulate important disease-relevant epigenomic changes.
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Affiliation(s)
- Stanislav Tsitkov
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Kelsey Valentine
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Velina Kozareva
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Aneesh Donde
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Aaron Frank
- Cedars-Sinai Biomanufacturing Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Susan Lei
- Cedars-Sinai Biomanufacturing Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Jennifer E Van Eyk
- Advanced Clinical Biosystems Research Institute, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Steve Finkbeiner
- Center for Systems and Therapeutics, Gladstone Institutes, San Francisco, CA, USA
- Taube/Koret Center for Neurodegenerative Disease, Gladstone Institutes, San Francisco, CA, USA
- Departments of Neurology and Physiology, University of California, San Francisco, San Francisco, CA, USA
| | - Jeffrey D Rothstein
- Brain Science Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Leslie M Thompson
- Department of Neurobiology and Behavior, University of California, Irvine, CA, USA
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA
- Sue and Bill Gross Stem Cell Center, University of California, Irvine, CA, USA
| | - Dhruv Sareen
- Cedars-Sinai Biomanufacturing Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- The Board of Governors Regenerative Medicine Institute and Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Clive N Svendsen
- The Board of Governors Regenerative Medicine Institute and Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Ernest Fraenkel
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
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56
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Yang L, Kumegawa K, Saeki S, Nakadai T, Maruyama R. Identification of lineage-specific epigenetic regulators FOXA1 and GRHL2 through chromatin accessibility profiling in breast cancer cell lines. Cancer Gene Ther 2024; 31:736-745. [PMID: 38429368 PMCID: PMC11101334 DOI: 10.1038/s41417-024-00745-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 02/04/2024] [Accepted: 02/07/2024] [Indexed: 03/03/2024]
Abstract
Breast cancer is a heterogeneous disease, and breast cancer cell lines are invaluable for studying this heterogeneity. However, the epigenetic diversity across these cell lines remains poorly understood. In this study, we performed genome-wide chromatin accessibility analysis on 23 breast cancer cell lines, including 2 estrogen receptor (ER)-positive/human epidermal growth factor receptor 2 (HER2)-negative (ER+/HER2-), 3 ER+/HER2+, 3 HER2+, and 15 triple-negative breast cancer (TNBC) lines. These cell lines were classified into three groups based on their chromatin accessibility: the receptor-positive group (Group-P), TNBC basal group (Group-B), and TNBC mesenchymal group (Group-M). Motif enrichment analysis revealed that only Group-P exhibited coenrichment of forkhead box A1 (FOXA1) and grainyhead-like 2 (GRHL2) motifs, whereas Group-B was characterized by the presence of the GRHL2 motif without FOXA1. Notably, Group-M did not show enrichment of either FOXA1 or GRHL2 motifs. Furthermore, gene ontology analysis suggested that group-specific accessible regions were associated with their unique lineage characteristics. To investigate the epigenetic landscape regulatory roles of FOXA1 and GRHL2, we performed knockdown experiments targeting FOXA1 and GRHL2, followed by assay for transposase-accessible chromatin sequencing analysis. The findings revealed that FOXA1 maintains Group-P-specific regions while suppressing Group-B-specific regions in Group-P cells. In contrast, GRHL2 preserves commonly accessible regions shared between Group-P and Group-B in Group-B cells, suggesting that FOXA1 and GRHL2 play a pivotal role in preserving distinct chromatin accessibility patterns for each group. Specifically, FOXA1 distinguishes between receptor-positive and TNBC cell lines, whereas GRHL2 distinguishes between basal-like and mesenchymal subtypes in TNBC lines.
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Affiliation(s)
- Liying Yang
- Project for Cancer Epigenomics, Cancer Institute, Japanese Foundation for Cancer Research, Tokyo, Japan
| | - Kohei Kumegawa
- Cancer Cell Diversity Project, NEXT-Ganken Program, Japanese Foundation for Cancer Research, Tokyo, Japan.
| | - Sumito Saeki
- Project for Cancer Epigenomics, Cancer Institute, Japanese Foundation for Cancer Research, Tokyo, Japan
- Breast Surgical Oncology, Breast Oncology Center, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan
| | - Tomoyoshi Nakadai
- Project for Cancer Epigenomics, Cancer Institute, Japanese Foundation for Cancer Research, Tokyo, Japan
| | - Reo Maruyama
- Project for Cancer Epigenomics, Cancer Institute, Japanese Foundation for Cancer Research, Tokyo, Japan.
- Cancer Cell Diversity Project, NEXT-Ganken Program, Japanese Foundation for Cancer Research, Tokyo, Japan.
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57
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Wu W, Jiang Y, Xing D, Zhai Y, Sun H, He X, Luo K, Xu P, Pan F, Dong G, Ren G, Zhao Z. The epigenetic regulators EP300/CREBBP represent promising therapeutic targets in MLL-rearranged acute myeloid leukemia. Cell Death Discov 2024; 10:206. [PMID: 38693103 PMCID: PMC11063202 DOI: 10.1038/s41420-024-01940-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 03/27/2024] [Accepted: 04/02/2024] [Indexed: 05/03/2024] Open
Abstract
Acute myeloid leukemia (AML) with mixed-lineage leukemia (MLL) gene rearrangements (MLL-r) is an aggressive subtype of blood cancer with dismal prognosis, underscoring the urgent need for novel therapeutic strategies. E1A-binding protein (EP300) and CREB-binding protein (CREBBP) function as essential transcriptional coactivators and acetyltransferases, governing leukemogenesis through diverse mechanisms. Targeting EP300/CREBBP holds great promise for treating leukemia with some certain cytogenetic abnormalities. Here, we demonstrated that EP300 and CREBBP are core epigenetic regulators in the pathogenesis of MLL-r AML through assaying the transposase-accessible chromatin with high-throughput sequencing (ATAC-seq). Knocking-out EP300/CREBBP and inhibitor (A-485) treatment depressed the MLL-r cells proliferation, while the MLL wild-type cells remained uninfluenced. We found that the CDK4/RB/E2F axis was downregulated specifically in MLL-r AML cell after A-485 treatment by RNA-seq, western blot and cut-tag analyses. EP300/CREBBP inhibitor selectively exerted potent anti-leukemia activity through blocking the MLL-r-BET complex binding to H3K27Ac modification on critical genes loci, distinct from global histone acetylation. Collectively, our study identified EP300/CREBBP as a critical epigenetic driver of MLL-r leukemia and validated their therapeutic potential through targeting inhibition, offering a promising avenue for improving clinical outcomes in this aggressive leukemia.
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Affiliation(s)
- Wenqi Wu
- Department of Senior ward, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China
| | - Yanan Jiang
- Department of Medical Oncology, Tianjin First Central Hospital, School of Medicine. Nankai University, Tianjin, 300192, China
| | - Donghui Xing
- Department of Senior ward, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China
| | - Yixin Zhai
- Department of Senior ward, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China
| | - Huimeng Sun
- Department of Senior ward, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China
| | - Xiang He
- Department of Senior ward, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China
| | - Kaiping Luo
- Department of Senior ward, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China
| | - Pengpeng Xu
- Department of Oncology, Characteristic Medical Center of Chinese People's Armed Police Force, Tianjin, 300162, China
| | - Feng Pan
- Department of Molecular Medicine, the University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229-3904, USA
| | - Guolei Dong
- Department of Breast Oncology, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China.
| | - Guibing Ren
- Department of Oncology, Characteristic Medical Center of Chinese People's Armed Police Force, Tianjin, 300162, China.
| | - Zhigang Zhao
- Department of Medical Oncology, Tianjin First Central Hospital, School of Medicine. Nankai University, Tianjin, 300192, China.
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58
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Veerla S, Staaf J. Kataegis in clinical and molecular subgroups of primary breast cancer. NPJ Breast Cancer 2024; 10:32. [PMID: 38658600 PMCID: PMC11043427 DOI: 10.1038/s41523-024-00640-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Accepted: 04/13/2024] [Indexed: 04/26/2024] Open
Abstract
Kataegis is a hypermutation phenomenon characterized by localized clusters of single base pair substitution (SBS) reported in multiple cancer types. Despite a high frequency in breast cancer, large-scale analyses of kataegis patterns and associations with clinicopathological and molecular variables in established breast cancer subgroups are lacking. Therefore, WGS profiled primary breast cancers (n = 791) with associated clinical and molecular data layers, like RNA-sequencing data, were analyzed for kataegis frequency, recurrence, and associations with genomic contexts and functional elements, transcriptional patterns, driver alterations, homologous recombination deficiency (HRD), and prognosis in tumor subgroups defined by ER, PR, and HER2/ERBB2 status. Kataegis frequency was highest in the HER2-positive(p) subgroups, including both ER-negative(n)/positive(p) tumors (ERnHER2p/ERpHER2p). In TNBC, kataegis was neither associated with PAM50 nor TNBC mRNA subtypes nor with distant relapse in chemotherapy-treated patients. In ERpHER2n tumors, kataegis was associated with aggressive characteristics, including PR-negativity, molecular Luminal B subtype, higher mutational burden, higher grade, and expression of proliferation-associated genes. Recurrent kataegis loci frequently targeted regions commonly amplified in ER-positive tumors, while few recurrent loci were observed in TNBC. SBSs in kataegis loci appeared enriched in regions of open chromatin. Kataegis status was not associated with HRD in any subgroup or with distinct transcriptional patterns in unsupervised or supervised analysis. In summary, kataegis is a common hypermutation phenomenon in established breast cancer subgroups, particularly in HER2p subgroups, coinciding with an aggressive tumor phenotype in ERpHER2n disease. In TNBC, the molecular implications and associations of kataegis are less clear, including its prognostic value.
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Affiliation(s)
- Srinivas Veerla
- Division of Translational Cancer Research, Department of Laboratory Medicine, Lund University, Lund, Sweden
| | - Johan Staaf
- Division of Translational Cancer Research, Department of Laboratory Medicine, Lund University, Lund, Sweden.
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Nuno K, Azizi A, Koehnke T, Lareau C, Ediriwickrema A, Corces MR, Satpathy AT, Majeti R. Convergent epigenetic evolution drives relapse in acute myeloid leukemia. eLife 2024; 13:e93019. [PMID: 38647535 PMCID: PMC11034943 DOI: 10.7554/elife.93019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 03/26/2024] [Indexed: 04/25/2024] Open
Abstract
Relapse of acute myeloid leukemia (AML) is highly aggressive and often treatment refractory. We analyzed previously published AML relapse cohorts and found that 40% of relapses occur without changes in driver mutations, suggesting that non-genetic mechanisms drive relapse in a large proportion of cases. We therefore characterized epigenetic patterns of AML relapse using 26 matched diagnosis-relapse samples with ATAC-seq. This analysis identified a relapse-specific chromatin accessibility signature for mutationally stable AML, suggesting that AML undergoes epigenetic evolution at relapse independent of mutational changes. Analysis of leukemia stem cell (LSC) chromatin changes at relapse indicated that this leukemic compartment underwent significantly less epigenetic evolution than non-LSCs, while epigenetic changes in non-LSCs reflected overall evolution of the bulk leukemia. Finally, we used single-cell ATAC-seq paired with mitochondrial sequencing (mtscATAC) to map clones from diagnosis into relapse along with their epigenetic features. We found that distinct mitochondrially-defined clones exhibit more similar chromatin accessibility at relapse relative to diagnosis, demonstrating convergent epigenetic evolution in relapsed AML. These results demonstrate that epigenetic evolution is a feature of relapsed AML and that convergent epigenetic evolution can occur following treatment with induction chemotherapy.
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Affiliation(s)
- Kevin Nuno
- Cancer Biology Graduate Program, Stanford University School of MedicineStanfordUnited States
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of MedicineStanfordUnited States
- Cancer Institute, Stanford University School of MedicineStanfordUnited States
- Department of Medicine, Division of Hematology, Stanford University School of MedicineStanfordUnited States
| | - Armon Azizi
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of MedicineStanfordUnited States
- Cancer Institute, Stanford University School of MedicineStanfordUnited States
- Department of Medicine, Division of Hematology, Stanford University School of MedicineStanfordUnited States
- University of California Irvine School of MedicineIrvineUnited States
| | - Thomas Koehnke
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of MedicineStanfordUnited States
- Cancer Institute, Stanford University School of MedicineStanfordUnited States
- Department of Medicine, Division of Hematology, Stanford University School of MedicineStanfordUnited States
| | - Caleb Lareau
- Department of Pathology, Stanford UniversityStanfordUnited States
- Program in Immunology, Stanford UniversityStanfordUnited States
| | - Asiri Ediriwickrema
- Cancer Biology Graduate Program, Stanford University School of MedicineStanfordUnited States
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of MedicineStanfordUnited States
- Cancer Institute, Stanford University School of MedicineStanfordUnited States
- Department of Medicine, Division of Hematology, Stanford University School of MedicineStanfordUnited States
| | - M Ryan Corces
- Cancer Biology Graduate Program, Stanford University School of MedicineStanfordUnited States
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of MedicineStanfordUnited States
- Cancer Institute, Stanford University School of MedicineStanfordUnited States
- Department of Medicine, Division of Hematology, Stanford University School of MedicineStanfordUnited States
- Gladstone Institute of Neurological DiseaseSan FranciscoUnited States
- Gladstone Institute of Data Science and BiotechnologySan FranciscoUnited States
- Department of Neurology, University of California, San FranciscoSan FranciscoUnited States
| | - Ansuman T Satpathy
- Department of Pathology, Stanford UniversityStanfordUnited States
- Program in Immunology, Stanford UniversityStanfordUnited States
- Parker Institute for Cancer Immunotherapy, Stanford UniversityStanfordUnited States
- Gladstone-UCSF Institute of Genomic ImmunologySan FranciscoUnited States
| | - Ravindra Majeti
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of MedicineStanfordUnited States
- Cancer Institute, Stanford University School of MedicineStanfordUnited States
- Department of Medicine, Division of Hematology, Stanford University School of MedicineStanfordUnited States
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60
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Kinyamu HK, Bennett BD, Ward JM, Archer TK. Proteasome Inhibition Reprograms Chromatin Landscape in Breast Cancer. CANCER RESEARCH COMMUNICATIONS 2024; 4:1082-1099. [PMID: 38625038 PMCID: PMC11019832 DOI: 10.1158/2767-9764.crc-23-0476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 02/26/2024] [Accepted: 03/22/2024] [Indexed: 04/17/2024]
Abstract
The 26S proteasome is the major protein degradation machinery in cells. Cancer cells use the proteasome to modulate gene expression networks that promote tumor growth. Proteasome inhibitors have emerged as effective cancer therapeutics, but how they work mechanistically remains unclear. Here, using integrative genomic analysis, we discovered unexpected reprogramming of the chromatin landscape and RNA polymerase II (RNAPII) transcription initiation in breast cancer cells treated with the proteasome inhibitor MG132. The cells acquired dynamic changes in chromatin accessibility at specific genomic loci termed differentially open chromatin regions (DOCR). DOCRs with decreased accessibility were promoter proximal and exhibited unique chromatin architecture associated with divergent RNAPII transcription. Conversely, DOCRs with increased accessibility were primarily distal to transcription start sites and enriched in oncogenic superenhancers predominantly accessible in non-basal breast tumor subtypes. These findings describe the mechanisms by which the proteasome modulates the expression of gene networks intrinsic to breast cancer biology. SIGNIFICANCE Our study provides a strong basis for understanding the mechanisms by which proteasome inhibitors exert anticancer effects. We find open chromatin regions that change during proteasome inhibition, are typically accessible in non-basal breast cancers.
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Affiliation(s)
- H. Karimi Kinyamu
- Chromatin and Gene Expression Section, National Institute of Environmental Health Sciences, Durham, North Carolina
- Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, Durham, North Carolina
- National Institute of Environmental Health Sciences, Durham, North Carolina
| | - Brian D. Bennett
- National Institute of Environmental Health Sciences, Durham, North Carolina
- Integrative Bioinformatics Group, National Institute of Environmental Health Sciences, Durham, North Carolina
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Durham, North Carolina
| | - James M. Ward
- National Institute of Environmental Health Sciences, Durham, North Carolina
- Integrative Bioinformatics Group, National Institute of Environmental Health Sciences, Durham, North Carolina
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Durham, North Carolina
| | - Trevor K. Archer
- Chromatin and Gene Expression Section, National Institute of Environmental Health Sciences, Durham, North Carolina
- Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, Durham, North Carolina
- National Institute of Environmental Health Sciences, Durham, North Carolina
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61
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Yao Z, Song P, Jiao W. Pathogenic role of super-enhancers as potential therapeutic targets in lung cancer. Front Pharmacol 2024; 15:1383580. [PMID: 38681203 PMCID: PMC11047458 DOI: 10.3389/fphar.2024.1383580] [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: 02/07/2024] [Accepted: 04/02/2024] [Indexed: 05/01/2024] Open
Abstract
Lung cancer is still one of the deadliest malignancies today, and most patients with advanced lung cancer pass away from disease progression that is uncontrollable by medications. Super-enhancers (SEs) are large clusters of enhancers in the genome's non-coding sequences that actively trigger transcription. Although SEs have just been identified over the past 10 years, their intricate structure and crucial role in determining cell identity and promoting tumorigenesis and progression are increasingly coming to light. Here, we review the structural composition of SEs, the auto-regulatory circuits, the control mechanisms of downstream genes and pathways, and the characterization of subgroups classified according to SEs in lung cancer. Additionally, we discuss the therapeutic targets, several small-molecule inhibitors, and available treatment options for SEs in lung cancer. Combination therapies have demonstrated considerable advantages in preclinical models, and we anticipate that these drugs will soon enter clinical studies and benefit patients.
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Affiliation(s)
- Zhiyuan Yao
- Department of Thoracic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Peng Song
- Department of Thoracic Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Wenjie Jiao
- Department of Thoracic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China
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62
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Deng Q, Lakra P, Gou P, Yang H, Meydan C, Teater M, Chin C, Zhang W, Dinh T, Hussein U, Li X, Rojas E, Liu W, Reville PK, Kizhakeyil A, Barisic D, Parsons S, Wilson A, Henderson J, Scull B, Gurumurthy C, Vega F, Chadburn A, Cuglievan B, El-Mallawany NK, Allen C, Mason C, Melnick A, Green MR. SMARCA4 is a haploinsufficient B cell lymphoma tumor suppressor that fine-tunes centrocyte cell fate decisions. Cancer Cell 2024; 42:605-622.e11. [PMID: 38458188 PMCID: PMC11003852 DOI: 10.1016/j.ccell.2024.02.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 12/30/2023] [Accepted: 02/14/2024] [Indexed: 03/10/2024]
Abstract
SMARCA4 encodes one of two mutually exclusive ATPase subunits in the BRG/BRM associated factor (BAF) complex that is recruited by transcription factors (TFs) to drive chromatin accessibility and transcriptional activation. SMARCA4 is among the most recurrently mutated genes in human cancer, including ∼30% of germinal center (GC)-derived Burkitt lymphomas. In mice, GC-specific Smarca4 haploinsufficiency cooperated with MYC over-expression to drive lymphomagenesis. Furthermore, monoallelic Smarca4 deletion drove GC hyperplasia with centroblast polarization via significantly increased rates of centrocyte recycling to the dark zone. Mechanistically, Smarca4 loss reduced the activity of TFs that are activated in centrocytes to drive GC-exit, including SPI1 (PU.1), IRF family, and NF-κB. Loss of activity for these factors phenocopied aberrant BCL6 activity within murine centrocytes and human Burkitt lymphoma cells. SMARCA4 therefore facilitates chromatin accessibility for TFs that shape centrocyte trajectories, and loss of fine-control of these programs biases toward centroblast cell-fate, GC hyperplasia and lymphoma.
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Affiliation(s)
- Qing Deng
- Department of Lymphoma & Myeloma, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Priya Lakra
- Department of Lymphoma & Myeloma, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Panhong Gou
- Department of Lymphoma & Myeloma, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Haopeng Yang
- Department of Lymphoma & Myeloma, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Cem Meydan
- Department of Medicine and Weill Cornell Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Matthew Teater
- Department of Medicine and Weill Cornell Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Christopher Chin
- Department of Medicine and Weill Cornell Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Wenchao Zhang
- Department of Lymphoma & Myeloma, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Tommy Dinh
- Department of Lymphoma & Myeloma, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Usama Hussein
- Department of Lymphoma & Myeloma, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Xubin Li
- Department of Lymphoma & Myeloma, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Estela Rojas
- Department of Lymphoma & Myeloma, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Weiguang Liu
- Department of Lymphoma & Myeloma, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Patrick K Reville
- Department of Leukemia, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Atish Kizhakeyil
- Department of Lymphoma & Myeloma, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Darko Barisic
- Department of Medicine and Weill Cornell Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Sydney Parsons
- Department of Lymphoma & Myeloma, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ashley Wilson
- Department of Lymphoma & Myeloma, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jared Henderson
- Department of Lymphoma & Myeloma, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Brooks Scull
- Department of Pediatrics, Baylor College of Medicine, Texas Children's Cancer Center, Houston, TX, USA
| | | | - Francisco Vega
- Department of Hematopathology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Amy Chadburn
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Branko Cuglievan
- Department of Pediatrics, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Nader Kim El-Mallawany
- Department of Pediatrics, Baylor College of Medicine, Texas Children's Cancer Center, Houston, TX, USA
| | - Carl Allen
- Department of Pediatrics, Baylor College of Medicine, Texas Children's Cancer Center, Houston, TX, USA
| | - Christopher Mason
- Department of Medicine and Weill Cornell Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Ari Melnick
- Department of Medicine and Weill Cornell Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Michael R Green
- Department of Lymphoma & Myeloma, University of Texas MD Anderson Cancer Center, Houston, TX, USA; Department of Genomic Medicine, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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63
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Jakobsen ST, Jensen RAM, Madsen MS, Ravnsborg T, Vaagenso CS, Siersbæk MS, Einarsson H, Andersson R, Jensen ON, Siersbæk R. MYC activity at enhancers drives prognostic transcriptional programs through an epigenetic switch. Nat Genet 2024; 56:663-674. [PMID: 38454021 DOI: 10.1038/s41588-024-01676-z] [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: 02/22/2023] [Accepted: 01/30/2024] [Indexed: 03/09/2024]
Abstract
The transcription factor MYC is overexpressed in most cancers, where it drives multiple hallmarks of cancer progression. MYC is known to promote oncogenic transcription by binding to active promoters. In addition, MYC has also been shown to invade distal enhancers when expressed at oncogenic levels, but this enhancer binding has been proposed to have low gene-regulatory potential. Here, we demonstrate that MYC directly regulates enhancer activity to promote cancer type-specific gene programs predictive of poor patient prognosis. MYC induces transcription of enhancer RNA through recruitment of RNA polymerase II (RNAPII), rather than regulating RNAPII pause-release, as is the case at promoters. This process is mediated by MYC-induced H3K9 demethylation and acetylation by GCN5, leading to enhancer-specific BRD4 recruitment through its bromodomains, which facilitates RNAPII recruitment. We propose that MYC drives prognostic cancer type-specific gene programs through induction of an enhancer-specific epigenetic switch, which can be targeted by BET and GCN5 inhibitors.
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Affiliation(s)
- Simon T Jakobsen
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark
| | - Rikke A M Jensen
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark
| | - Maria S Madsen
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark
| | - Tina Ravnsborg
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark
| | | | - Majken S Siersbæk
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark
| | - Hjorleifur Einarsson
- Department of Biology, University of Copenhagen, Copenhagen, Denmark
- Novo Nordisk Foundation Center for Genomic Mechanisms of Disease, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Robin Andersson
- Department of Biology, University of Copenhagen, Copenhagen, Denmark
- Novo Nordisk Foundation Center for Genomic Mechanisms of Disease, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Ole N Jensen
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark
| | - Rasmus Siersbæk
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark.
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64
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Wu Z, Shen S, Mizikovsky D, Cao Y, Naval-Sanchez M, Tan SZ, Alvarez YD, Sun Y, Chen X, Zhao Q, Kim D, Yang P, Hill TA, Jones A, Fairlie DP, Pébay A, Hewitt AW, Tam PPL, White MD, Nefzger CM, Palpant NJ. Wnt dose escalation during the exit from pluripotency identifies tranilast as a regulator of cardiac mesoderm. Dev Cell 2024; 59:705-722.e8. [PMID: 38354738 DOI: 10.1016/j.devcel.2024.01.019] [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: 03/08/2023] [Revised: 10/27/2023] [Accepted: 01/23/2024] [Indexed: 02/16/2024]
Abstract
Wnt signaling is a critical determinant of cell lineage development. This study used Wnt dose-dependent induction programs to gain insights into molecular regulation of stem cell differentiation. We performed single-cell RNA sequencing of hiPSCs responding to a dose escalation protocol with Wnt agonist CHIR-99021 during the exit from pluripotency to identify cell types and genetic activity driven by Wnt stimulation. Results of activated gene sets and cell types were used to build a multiple regression model that predicts the efficiency of cardiomyocyte differentiation. Cross-referencing Wnt-associated gene expression profiles to the Connectivity Map database, we identified the small-molecule drug, tranilast. We found that tranilast synergistically activates Wnt signaling to promote cardiac lineage differentiation, which we validate by in vitro analysis of hiPSC differentiation and in vivo analysis of developing quail embryos. Our study provides an integrated workflow that links experimental datasets, prediction models, and small-molecule databases to identify drug-like compounds that control cell differentiation.
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Affiliation(s)
- Zhixuan Wu
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Sophie Shen
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Dalia Mizikovsky
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Yuanzhao Cao
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Marina Naval-Sanchez
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Siew Zhuan Tan
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Yanina D Alvarez
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Yuliangzi Sun
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Xiaoli Chen
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Qiongyi Zhao
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Daniel Kim
- Children's Medical Research Institute, The University of Sydney, Westmead, NSW 2145, Australia
| | - Pengyi Yang
- Children's Medical Research Institute, The University of Sydney, Westmead, NSW 2145, Australia
| | - Timothy A Hill
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia; Australian Research Council Centre of Excellence for Innovations in Peptide and Protein Science, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Alun Jones
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia
| | - David P Fairlie
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia; Australian Research Council Centre of Excellence for Innovations in Peptide and Protein Science, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Alice Pébay
- Department of Anatomy and Physiology, The University of Melbourne, Parkville, VIC 3010, Australia; Department of Surgery, Royal Melbourne Hospital, The University of Melbourne, Parkville, VIC 3010, Australia
| | - Alex W Hewitt
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS 7000, Australia
| | - Patrick P L Tam
- Children's Medical Research Institute, The University of Sydney, Westmead, NSW 2145, Australia; School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2006, Australia
| | - Melanie D White
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Christian M Nefzger
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia; School of Chemistry & Molecular Biosciences, The University of Queensland, Brisbane, QLD 4067, Australia
| | - Nathan J Palpant
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia.
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65
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Michelatti D, Beyes S, Bernardis C, Negri ML, Morelli L, Bediaga NG, Poli V, Fagnocchi L, Lago S, D'Annunzio S, Cona N, Gaspardo I, Bianchi A, Jovetic J, Gianesello M, Turdo A, D'Accardo C, Gaggianesi M, Dori M, Forcato M, Crispatzu G, Rada-Iglesias A, Sosa MS, Timmers HTM, Bicciato S, Todaro M, Tiberi L, Zippo A. Oncogenic enhancers prime quiescent metastatic cells to escape NK immune surveillance by eliciting transcriptional memory. Nat Commun 2024; 15:2198. [PMID: 38503727 PMCID: PMC10951355 DOI: 10.1038/s41467-024-46524-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Accepted: 02/29/2024] [Indexed: 03/21/2024] Open
Abstract
Metastasis arises from disseminated tumour cells (DTCs) that are characterized by intrinsic phenotypic plasticity and the capability of seeding to secondary organs. DTCs can remain latent for years before giving rise to symptomatic overt metastasis. In this context, DTCs fluctuate between a quiescent and proliferative state in response to systemic and microenvironmental signals including immune-mediated surveillance. Despite its relevance, how intrinsic mechanisms sustain DTCs plasticity has not been addressed. By interrogating the epigenetic state of metastatic cells, we find that tumour progression is coupled with the activation of oncogenic enhancers that are organized in variable interconnected chromatin domains. This spatial chromatin context leads to the activation of a robust transcriptional response upon repeated exposure to retinoic acid (RA). We show that this adaptive mechanism sustains the quiescence of DTCs through the activation of the master regulator SOX9. Finally, we determine that RA-stimulated transcriptional memory increases the fitness of metastatic cells by supporting the escape of quiescent DTCs from NK-mediated immune surveillance. Overall, these findings highlight the contribution of oncogenic enhancers in establishing transcriptional memories as an adaptive mechanism to reinforce cancer dormancy and immune escape, thus amenable for therapeutic intervention.
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Affiliation(s)
- Daniela Michelatti
- Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, 38123, Trento, Italy
| | - Sven Beyes
- Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, 38123, Trento, Italy
| | - Chiara Bernardis
- Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, 38123, Trento, Italy
| | - Maria Luce Negri
- Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, 38123, Trento, Italy
| | - Leonardo Morelli
- Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, 38123, Trento, Italy
| | - Naiara Garcia Bediaga
- Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, 38123, Trento, Italy
- The South Australian Immunogenomics Cancer Institute, Faculty of Medicine Nursing and Medical Sciences, The University of Adelaide, Adelaide, Australia
| | - Vittoria Poli
- Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, 38123, Trento, Italy
- Istituto Italiano di Tecnologia IIT, Milan, Italy
| | - Luca Fagnocchi
- Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, 38123, Trento, Italy
- Department of Epigenetics Van Andel Institute, Grand Rapids, MI, USA
| | - Sara Lago
- Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, 38123, Trento, Italy
| | - Sarah D'Annunzio
- Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, 38123, Trento, Italy
| | - Nicole Cona
- Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, 38123, Trento, Italy
| | - Ilaria Gaspardo
- Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, 38123, Trento, Italy
| | - Aurora Bianchi
- Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, 38123, Trento, Italy
| | - Jovana Jovetic
- Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, 38123, Trento, Italy
| | - Matteo Gianesello
- Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, 38123, Trento, Italy
| | - Alice Turdo
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties (PROMISE), University of Palermo, Palermo, Italy
| | - Caterina D'Accardo
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties (PROMISE), University of Palermo, Palermo, Italy
| | - Miriam Gaggianesi
- Department of Surgical, Oncological and Stomatological Sciences (DICHIRONS), University of Palermo, Palermo, Italy
| | - Martina Dori
- Department of Life Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Mattia Forcato
- Department of Life Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Giuliano Crispatzu
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
| | - Alvaro Rada-Iglesias
- Institute of Biomedicine and Biotechnology of Cantabria (IBBTEC), CSIC/Universidad de Cantabria, Santander, Spain
| | - Maria Soledad Sosa
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - H T Marc Timmers
- Department of Urology, Medical Center-University of Freiburg, Freiburg, Germany
- German Cancer Consortium (DKTK) partner site Freiburg, German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany
| | - Silvio Bicciato
- Department of Life Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Matilde Todaro
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties (PROMISE), University of Palermo, Palermo, Italy
| | - Luca Tiberi
- Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, 38123, Trento, Italy
| | - Alessio Zippo
- Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, 38123, Trento, Italy.
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66
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Alsufyani D. Evidence of zoonotic pathogens through biophysically induced genomic variance. Q Rev Biophys 2024; 57:e2. [PMID: 38477116 DOI: 10.1017/s0033583524000039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/14/2024]
Abstract
Zoonoses are infectious agents that are transmissible between animals and humans. Up to 60% of known infectious diseases and 75% of emergent diseases are zoonotic. Genomic variation between homeostatic populations provides a novel window into the effect of environmental pathogens on allelic distributions within the populations. Genodynamics is a biophysical approach utilizing developed metrics on biallelic single-nucleotide polymorphisms (SNPs) that can be used to quantify the adaptive influences due to pathogens. A genomic free energy that is minimized when overall population health is optimized describes the influence of environmental agents upon genomic variation. A double-blind exploration of over 100 thousand SNPs searching for smooth functional dependencies upon four zoonotic pathogens carried by four possible hosts amidst populations that live in their ancestral environments has been conducted. Exemplars that infectious agents can have significant adaptive influence on human populations are presented. One discussed SNP is likely associated with both adaptive and innate immune regulation. The adaptive response of another SNP suggests an intriguing connection between zoonoses and human cancers. The adaptive forces of the presented pathogens upon the human genome have been quantified.
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Affiliation(s)
- Daniah Alsufyani
- College of Sciences and Health Professions, King Saud bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, Jeddah, Saudi Arabia
- King Abdullah International Medical Research Center, Jeddah, Saudi Arabia
- Ministry of the National Guard - Health Affairs, Jeddah, Saudi Arabia
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67
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Ng-Blichfeldt JP, Stewart BJ, Clatworthy MR, Williams JM, Röper K. Identification of a core transcriptional program driving the human renal mesenchymal-to-epithelial transition. Dev Cell 2024; 59:595-612.e8. [PMID: 38340720 PMCID: PMC7616043 DOI: 10.1016/j.devcel.2024.01.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 11/28/2023] [Accepted: 01/17/2024] [Indexed: 02/12/2024]
Abstract
During kidney development, nephron epithelia arise de novo from fate-committed mesenchymal progenitors through a mesenchymal-to-epithelial transition (MET). Downstream of fate specification, transcriptional mechanisms that drive establishment of epithelial morphology are poorly understood. We used human iPSC-derived renal organoids, which recapitulate nephrogenesis, to investigate mechanisms controlling renal MET. Multi-ome profiling via snRNA-seq and ATAC-seq of organoids identified dynamic changes in gene expression and chromatin accessibility driven by activators and repressors throughout MET. CRISPR interference identified that paired box 8 (PAX8) is essential for initiation of MET in human renal organoids, contrary to in vivo mouse studies, likely by activating a cell-adhesion program. While Wnt/β-catenin signaling specifies nephron fate, we find that it must be attenuated to allow hepatocyte nuclear factor 1-beta (HNF1B) and TEA-domain (TEAD) transcription factors to drive completion of MET. These results identify the interplay between fate commitment and morphogenesis in the developing human kidney, with implications for understanding both developmental kidney diseases and aberrant epithelial plasticity following adult renal tubular injury.
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Affiliation(s)
- John-Poul Ng-Blichfeldt
- MRC-Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge Biomedical Campus, Cambridge CB2 0QH, UK
| | - Benjamin J Stewart
- Molecular Immunity Unit, Department of Medicine, MRC-Laboratory of Molecular Biology, University of Cambridge, Cambridge, UK; Cellular Genetics, Wellcome Sanger Institute, Hinxton, UK
| | - Menna R Clatworthy
- Molecular Immunity Unit, Department of Medicine, MRC-Laboratory of Molecular Biology, University of Cambridge, Cambridge, UK; Cambridge Institute of Therapeutic Immunology and Infectious Diseases, University of Cambridge, Cambridge, UK
| | - Julie M Williams
- Bioscience Renal, Research and Early Development, Cardiovascular, Renal and Metabolism, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
| | - Katja Röper
- MRC-Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge Biomedical Campus, Cambridge CB2 0QH, UK.
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Zhong J, Amundadottir LT. Uncovering dark matter in cancer by identifying epigenetic drivers. Trends Genet 2024; 40:211-212. [PMID: 38171966 PMCID: PMC10932853 DOI: 10.1016/j.tig.2023.12.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 12/08/2023] [Indexed: 01/05/2024]
Abstract
The complex relationship between chromatin accessibility, transcriptional regulation, and cancer transitions presents a daunting puzzle. Terekhanova et al. created a pan-cancer epigenetic and transcriptomic atlas at single-cell resolution, yielding important insights into the underlying chromatin architecture of cancer transitions and novel discoveries with the potential to advance precision medicine.
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Affiliation(s)
- Jun Zhong
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
| | - Laufey T Amundadottir
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
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69
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Peng G, Liu B, Zheng M, Zhang L, Li H, Liu M, Liang Y, Chen T, Luo X, Shi X, Ren J, Zheng Y. TSCRE: a comprehensive database for tumor-specific cis-regulatory elements. NAR Cancer 2024; 6:zcad063. [PMID: 38213995 PMCID: PMC10782923 DOI: 10.1093/narcan/zcad063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 11/18/2023] [Accepted: 12/31/2023] [Indexed: 01/13/2024] Open
Abstract
Cis-regulatory elements (CREs) and super cis-regulatory elements (SCREs) are non-coding DNA regions which influence the transcription of nearby genes and play critical roles in development. Dysregulated CRE and SCRE activities have been reported to alter the expression of oncogenes and tumor suppressors, thereby regulating cancer hallmarks. To address the strong need for a comprehensive catalogue of dysregulated CREs and SCREs in human cancers, we present TSCRE (http://tscre.zsqylab.com/), an open resource providing tumor-specific and cell type-specific CREs and SCREs derived from the re-analysis of publicly available histone modification profiles. Currently, TSCRE contains 1 864 941 dysregulated CREs and 68 253 dysregulated SCREs identified from 1366 human patient samples spanning 17 different cancer types and 9 histone marks. Over 95% of these elements have been validated in public resources. TSCRE offers comprehensive annotations for each element, including associated genes, expression patterns, clinical prognosis, somatic mutations, transcript factor binding sites, cancer-type specificity, and drug response. Additionally, TSCRE integrates pathway and transcript factor enrichment analyses for each study, enabling in-depth functional and mechanistic investigations. Furthermore, TSCRE provides an interactive interface for users to explore any CRE and SCRE of interest. We believe TSCRE will be a highly valuable platform for the community to discover candidate cancer biomarkers.
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Affiliation(s)
- Guanjie Peng
- Clinical Big Data Research Center, Scientific Research Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen 518107, P.R. China
- State Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center for Cancer Medicine, School of Life Sciences, Sun Yat-sen University, Guangzhou 510060, China
- Guangzhou Municipal and Guangdong Provincial Key Laboratory of Protein Modification and Degradation, Affiliated Cancer Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou 510120, China
| | - Bingyuan Liu
- Clinical Big Data Research Center, Scientific Research Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen 518107, P.R. China
- State Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center for Cancer Medicine, School of Life Sciences, Sun Yat-sen University, Guangzhou 510060, China
- Guangzhou Municipal and Guangdong Provincial Key Laboratory of Protein Modification and Degradation, Affiliated Cancer Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou 510120, China
| | - Mohan Zheng
- State Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center for Cancer Medicine, School of Life Sciences, Sun Yat-sen University, Guangzhou 510060, China
| | - Luowanyue Zhang
- State Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center for Cancer Medicine, School of Life Sciences, Sun Yat-sen University, Guangzhou 510060, China
| | - Huiqin Li
- State Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center for Cancer Medicine, School of Life Sciences, Sun Yat-sen University, Guangzhou 510060, China
| | - Mengni Liu
- Clinical Big Data Research Center, Scientific Research Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen 518107, P.R. China
| | - Yuan Liang
- Clinical Big Data Research Center, Scientific Research Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen 518107, P.R. China
| | - Tianjian Chen
- State Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center for Cancer Medicine, School of Life Sciences, Sun Yat-sen University, Guangzhou 510060, China
| | - Xiaotong Luo
- Guangdong Institute of Gastroenterology, Department of General Surgery, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510060, China
| | - Xianping Shi
- Guangzhou Municipal and Guangdong Provincial Key Laboratory of Protein Modification and Degradation, Affiliated Cancer Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou 510120, China
| | - Jian Ren
- State Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center for Cancer Medicine, School of Life Sciences, Sun Yat-sen University, Guangzhou 510060, China
| | - Yueyuan Zheng
- Clinical Big Data Research Center, Scientific Research Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen 518107, P.R. China
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70
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Bottosso M, Mosele F, Michiels S, Cournède PH, Dogan S, Labaki C, André F. Moving toward precision medicine to predict drug sensitivity in patients with metastatic breast cancer. ESMO Open 2024; 9:102247. [PMID: 38401248 PMCID: PMC10982863 DOI: 10.1016/j.esmoop.2024.102247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Revised: 01/03/2024] [Accepted: 01/10/2024] [Indexed: 02/26/2024] Open
Abstract
Tumor heterogeneity represents a major challenge in breast cancer, being associated with disease progression and treatment resistance. Precision medicine has been extensively applied to dissect tumor heterogeneity and, through a deeper molecular understanding of the disease, to personalize therapeutic strategies. In the last years, technological advances have widely improved the understanding of breast cancer biology and several trials have been developed to translate these new insights into clinical practice, with the ultimate aim of improving patients' outcomes. In the era of molecular oncology, genomics analyses and other methodologies are shaping a new treatment algorithm in breast cancer care. In this manuscript, we review the main steps of precision medicine to predict drug sensitivity in breast cancer from a translational point of view. Genomic developments and their clinical implications are discussed, along with technological advancements that could broaden precision medicine applications. Current achievements are put into perspective to provide an overview of the state-of-art of breast cancer precision oncology as well as to identify future research directions.
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Affiliation(s)
- M Bottosso
- INSERM Unit U981, Gustave Roussy Cancer Campus, Villejuif, France; Department of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy
| | - F Mosele
- INSERM Unit U981, Gustave Roussy Cancer Campus, Villejuif, France; Department of Medical Oncology, Gustave Roussy, Villejuif
| | - S Michiels
- Gustave Roussy, Department of Biostatistics and Epidemiology, Villejuif; Oncostat U1018, Inserm, Université Paris-Saclay, Ligue Contre le Cancer, Villejuif
| | - P-H Cournède
- Université Paris-Saclay, Centrale Supélec, Laboratory of Mathematics and Computer Science (MICS), Gif-Sur-Yvette, France
| | - S Dogan
- INSERM Unit U981, Gustave Roussy Cancer Campus, Villejuif, France
| | - C Labaki
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston; Department of Medicine, Beth Israel Deaconess Medical Center, Boston, USA
| | - F André
- INSERM Unit U981, Gustave Roussy Cancer Campus, Villejuif, France; Department of Medical Oncology, Gustave Roussy, Villejuif; PRISM, INSERM, Gustave Roussy, Villejuif; Paris Saclay University, Gif Sur-Yvette, France.
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71
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Meng X, Tian Y, Zhang X. [Screening of immune related gene and survival prediction of lung adenocarcinoma patients based on LightGBM model]. SHENG WU YI XUE GONG CHENG XUE ZA ZHI = JOURNAL OF BIOMEDICAL ENGINEERING = SHENGWU YIXUE GONGCHENGXUE ZAZHI 2024; 41:70-79. [PMID: 38403606 PMCID: PMC10894725 DOI: 10.7507/1001-5515.202305038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
Lung cancer is one of the malignant tumors with the greatest threat to human health, and studies have shown that some genes play an important regulatory role in the occurrence and development of lung cancer. In this paper, a LightGBM ensemble learning method is proposed to construct a prognostic model based on immune relate gene (IRG) profile data and clinical data to predict the prognostic survival rate of lung adenocarcinoma patients. First, this method used the Limma package for differential gene expression, used CoxPH regression analysis to screen the IRG to prognosis, and then used XGBoost algorithm to score the importance of the IRG features. Finally, the LASSO regression analysis was used to select IRG that could be used to construct a prognostic model, and a total of 17 IRG features were obtained that could be used to construct model. LightGBM was trained according to the IRG screened. The K-means algorithm was used to divide the patients into three groups, and the area under curve (AUC) of receiver operating characteristic (ROC) of the model output showed that the accuracy of the model in predicting the survival rates of the three groups of patients was 96%, 98% and 96%, respectively. The experimental results show that the model proposed in this paper can divide patients with lung adenocarcinoma into three groups [5-year survival rate higher than 65% (group 1), lower than 65% but higher than 30% (group 2) and lower than 30% (group 3)] and can accurately predict the 5-year survival rate of lung adenocarcinoma patients.
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Affiliation(s)
- Xiangfu Meng
- School of Electronics and Information Engineering, Liaoning Technical University, Huludao, Liaoning 125000, P. R. China
| | - Youfa Tian
- School of Electronics and Information Engineering, Liaoning Technical University, Huludao, Liaoning 125000, P. R. China
| | - Xiaoyan Zhang
- School of Electronics and Information Engineering, Liaoning Technical University, Huludao, Liaoning 125000, P. R. China
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Choi W, Choe MS, Kim SM, Kim SJ, Lee J, Lee Y, Lee SM, Dho SH, Lee MY, Kim LK. RFX4 is an intrinsic factor for neuronal differentiation through induction of proneural genes POU3F2 and NEUROD1. Cell Mol Life Sci 2024; 81:99. [PMID: 38386071 PMCID: PMC10884155 DOI: 10.1007/s00018-024-05129-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 12/27/2023] [Accepted: 01/15/2024] [Indexed: 02/23/2024]
Abstract
Proneural genes play a crucial role in neuronal differentiation. However, our understanding of the regulatory mechanisms governing proneural genes during neuronal differentiation remains limited. RFX4, identified as a candidate regulator of proneural genes, has been reported to be associated with the development of neuropsychiatric disorders. To uncover the regulatory relationship, we utilized a combination of multi-omics data, including ATAC-seq, ChIP-seq, Hi-C, and RNA-seq, to identify RFX4 as an upstream regulator of proneural genes. We further validated the role of RFX4 using an in vitro model of neuronal differentiation with RFX4 knock-in and a CRISPR-Cas9 knock-out system. As a result, we found that RFX4 directly interacts with the promoters of POU3F2 and NEUROD1. Transcriptomic analysis revealed a set of genes associated with neuronal development, which are highly implicated in the development of neuropsychiatric disorders, including schizophrenia. Notably, ectopic expression of RFX4 can drive human embryonic stem cells toward a neuronal fate. Our results strongly indicate that RFX4 serves as a direct upstream regulator of proneural genes, a role that is essential for normal neuronal development. Impairments in RFX4 function could potentially be related to the development of various neuropsychiatric disorders. However, understanding the precise mechanisms by which the RFX4 gene influences the onset of neuropsychiatric disorders requires further investigation through human genetic studies.
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Affiliation(s)
- Wonyoung Choi
- Interdisciplinary Program of Integrated OMICS for Biomedical Science, The Graduate School, Yonsei University, Seoul, Korea
- College of Pharmacy, Research Institute of Pharmaceutical Sciences, Kyungpook National University, Daegu, Republic of Korea
| | - Mu Seog Choe
- College of Pharmacy, Research Institute of Pharmaceutical Sciences, Kyungpook National University, Daegu, Republic of Korea
| | - Su Min Kim
- Department of Biomedical Sciences, Graduate School of Medical Science, Brain Korea 21 Project, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, 06230, Republic of Korea
| | - So Jin Kim
- College of Pharmacy, Research Institute of Pharmaceutical Sciences, Kyungpook National University, Daegu, Republic of Korea
| | - Jiyeon Lee
- Department of Biomedical Sciences, Graduate School of Medical Science, Brain Korea 21 Project, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, 06230, Republic of Korea
| | - Yeongun Lee
- Department of Biomedical Sciences, Graduate School of Medical Science, Brain Korea 21 Project, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, 06230, Republic of Korea
| | - Sun-Min Lee
- Department of Physics, Konkuk University, Seoul, Republic of Korea
| | - So Hee Dho
- Department of Biomedical Sciences, Graduate School of Medical Science, Brain Korea 21 Project, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, 06230, Republic of Korea
| | - Min-Young Lee
- College of Pharmacy, Research Institute of Pharmaceutical Sciences, Kyungpook National University, Daegu, Republic of Korea.
| | - Lark Kyun Kim
- Department of Biomedical Sciences, Graduate School of Medical Science, Brain Korea 21 Project, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, 06230, Republic of Korea.
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Zhu Y, Tang S, Yuan Q, Fu J, He J, Liu Z, Zhao X, Li Y, Zhao Y, Zhang Y, Zhang X, Zhang Y, Zhu Y, Wang W, Zheng B, Wu R, Wu T, Yang S, Qiu X, Shen S, Hu J, Chen L, Wang Y, Wang H, Gao D, Chen L. Integrated characterization of hepatobiliary tumor organoids provides a potential landscape of pharmacogenomic interactions. Cell Rep Med 2024; 5:101375. [PMID: 38278146 PMCID: PMC10897507 DOI: 10.1016/j.xcrm.2023.101375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 08/20/2023] [Accepted: 12/15/2023] [Indexed: 01/28/2024]
Abstract
Despite considerable efforts to identify human liver cancer genomic alterations that might unveil druggable targets, the systematic translation of multiomics data remains challenging. Here, we report success in long-term culture of 64 patient-derived hepatobiliary tumor organoids (PDHOs) from a Chinese population. A divergent response to 265 metabolism- and epigenetics-related chemicals and 36 anti-cancer drugs is observed. Integration of the whole genome, transcriptome, chromatin accessibility profiles, and drug sensitivity results of 64 clinically relevant drugs defines over 32,000 genome-drug interactions. RUNX1 promoter mutation is associated with an increase in chromatin accessibility and a concomitant gene expression increase, promoting a cluster of drugs preferentially sensitive in hepatobiliary tumors. These results not only provide an annotated PDHO biobank of human liver cancer but also suggest a systematic approach for obtaining a comprehensive understanding of the gene-regulatory network of liver cancer, advancing the applications of potential personalized medicine.
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Affiliation(s)
- Yanjing Zhu
- The International Cooperation Laboratory on Signal Transduction, Eastern Hepatobiliary Surgery Hospital, Shanghai 200438, China; National Center for Liver Cancer, Shanghai 200438, China
| | - Shijie Tang
- State Key Laboratory of Cell Biology, Shanghai Key Laboratory of Molecular Andrology, Shanghai Institute of Biochemistry and Cell Biology, CAS Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China; University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Qiuyue Yuan
- CEMS, NCMIS, HCMS, MDIS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China; School of Mathematics, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing 100049, China
| | - Jing Fu
- The International Cooperation Laboratory on Signal Transduction, Eastern Hepatobiliary Surgery Hospital, Shanghai 200438, China
| | - Juan He
- State Key Laboratory of Cell Biology, Shanghai Key Laboratory of Molecular Andrology, Shanghai Institute of Biochemistry and Cell Biology, CAS Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China
| | - Zhuang Liu
- State Key Laboratory of Cell Biology, Shanghai Key Laboratory of Molecular Andrology, Shanghai Institute of Biochemistry and Cell Biology, CAS Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China; University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Xiaofang Zhao
- Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Yunguang Li
- State Key Laboratory of Cell Biology, Shanghai Key Laboratory of Molecular Andrology, Shanghai Institute of Biochemistry and Cell Biology, CAS Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China; University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Yan Zhao
- Institute of Metabolism and Integrative Biology and School of Life Sciences, Fudan University, Shanghai 200438, China
| | - Yani Zhang
- Institute of Metabolism and Integrative Biology and School of Life Sciences, Fudan University, Shanghai 200438, China
| | - Xiaoyu Zhang
- State Key Laboratory of Cell Biology, Shanghai Key Laboratory of Molecular Andrology, Shanghai Institute of Biochemistry and Cell Biology, CAS Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China; University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Yangqianwen Zhang
- The International Cooperation Laboratory on Signal Transduction, Eastern Hepatobiliary Surgery Hospital, Shanghai 200438, China
| | - Yiqin Zhu
- State Key Laboratory of Cell Biology, Shanghai Key Laboratory of Molecular Andrology, Shanghai Institute of Biochemistry and Cell Biology, CAS Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China
| | - Wenwen Wang
- Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Bo Zheng
- The International Cooperation Laboratory on Signal Transduction, Eastern Hepatobiliary Surgery Hospital, Shanghai 200438, China
| | - Rui Wu
- The International Cooperation Laboratory on Signal Transduction, Eastern Hepatobiliary Surgery Hospital, Shanghai 200438, China; Eastern Hepatobiliary Surgery Hospital, Shanghai 200438, China
| | - Tong Wu
- The International Cooperation Laboratory on Signal Transduction, Eastern Hepatobiliary Surgery Hospital, Shanghai 200438, China
| | - Shuai Yang
- Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Xinyao Qiu
- Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Siyun Shen
- The International Cooperation Laboratory on Signal Transduction, Eastern Hepatobiliary Surgery Hospital, Shanghai 200438, China
| | - Ji Hu
- The International Cooperation Laboratory on Signal Transduction, Eastern Hepatobiliary Surgery Hospital, Shanghai 200438, China
| | - Luonan Chen
- State Key Laboratory of Cell Biology, Shanghai Key Laboratory of Molecular Andrology, Shanghai Institute of Biochemistry and Cell Biology, CAS Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China; West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu 610041, China; Key Laboratory of Systems Biology, Hangzhou Institute for Advanced Study, University of the Chinese Academy of Sciences, Chinese Academy of Sciences, Hangzhou 330106, China; Guangdong Institute of Intelligence Science and Technology, Hengqin, Zhuhai, Guangdong 519031, China.
| | - Yong Wang
- CEMS, NCMIS, HCMS, MDIS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China; School of Mathematics, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing 100049, China; West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu 610041, China; Key Laboratory of Systems Biology, Hangzhou Institute for Advanced Study, University of the Chinese Academy of Sciences, Chinese Academy of Sciences, Hangzhou 330106, China.
| | - Hongyang Wang
- The International Cooperation Laboratory on Signal Transduction, Eastern Hepatobiliary Surgery Hospital, Shanghai 200438, China; National Center for Liver Cancer, Shanghai 200438, China; Institute of Metabolism and Integrative Biology and School of Life Sciences, Fudan University, Shanghai 200438, China; Shanghai Key Laboratory of Hepatobiliary Tumor Biology, Shanghai 200438, China.
| | - Dong Gao
- State Key Laboratory of Cell Biology, Shanghai Key Laboratory of Molecular Andrology, Shanghai Institute of Biochemistry and Cell Biology, CAS Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China.
| | - Lei Chen
- The International Cooperation Laboratory on Signal Transduction, Eastern Hepatobiliary Surgery Hospital, Shanghai 200438, China; National Center for Liver Cancer, Shanghai 200438, China; Key Laboratory of Signaling Regulation and Targeting Therapy of Liver Cancer, Ministry of Education, Shanghai 200438, China.
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74
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Zhao H, Feng K, Lei J, Shu Y, Bo L, Liu Y, Wang L, Liu W, Ning S, Wang L. Identification of somatic mutation-driven enhancers and their clinical utility in breast cancer. iScience 2024; 27:108780. [PMID: 38303701 PMCID: PMC10831879 DOI: 10.1016/j.isci.2024.108780] [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: 06/07/2023] [Revised: 09/04/2023] [Accepted: 01/02/2024] [Indexed: 02/03/2024] Open
Abstract
Somatic mutations contribute to cancer development by altering the activity of enhancers. In the study, a total of 135 mutation-driven enhancers, which displayed significant chromatin accessibility changes, were identified as candidate risk factors for breast cancer (BRCA). Furthermore, we identified four mutation-driven enhancers as independent prognostic factors for BRCA subtypes. In Her2 subtype, enhancer G > C mutation was associated with poorer prognosis through influencing its potential target genes FBXW9, TRIR, and WDR83. We identified aminoglutethimide and quinpirole as candidate drugs targeting the mutated enhancer. In normal subtype, enhancer G > A mutation was associated with poorer prognosis through influencing its target genes ALOX15B, LINC00324, and MPDU1. We identified eight candidate drugs such as erastin, colforsin, and STOCK1N-35874 targeting the mutated enhancer. Our findings suggest that somatic mutations contribute to breast cancer subtype progression by altering enhancer activity, which could be potential candidates for cancer therapy.
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Affiliation(s)
- Hongying Zhao
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Ke Feng
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Junjie Lei
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yaopeng Shu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Lin Bo
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Ying Liu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Lixia Wang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Wangyang Liu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Shangwei Ning
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Li Wang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
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75
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Liu S, Zhong H, Zhu J, Wu Y, Deng Y, Wu L. Regulome-wide association study identifies genetically driven accessible regions associated with pancreatic cancer risk. Int J Cancer 2024; 154:670-678. [PMID: 37850323 PMCID: PMC10842605 DOI: 10.1002/ijc.34761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 09/04/2023] [Accepted: 09/21/2023] [Indexed: 10/19/2023]
Abstract
Genome-wide association studies (GWAS) have identified two dozen genetic variants that are associated with the risk of pancreatic ductal adenocarcinoma (PDAC), a deadly malignancy. However, a majority of these variants are located in noncoding regions of the genome, which limits the translation of GWAS findings into clinical applications. The regulome-wide association study (RWAS) is a recently developed method for identifying TF binding-induced accessibility regions for diseases. However, their potential connection to PDAC has yet to be fully explored. We evaluated the associations between genetically predicted levels of chromatin accessibility and risk of PDAC by using pan-cancer chromatin accessibility genetic prediction models. Our analysis included 8275 cases and 6723 controls from the PanScan (I, II, and III) and PanC4 consortia. To further refine our results, we also integrated genes associated to allele-specific accessibility quantitative trait loci (as-aQTL) and TF motifs located in the as-aQTL. We found that 50 chromatin accessibility features were associated with PDAC risk at a false discovery rate (FDR) of less than 0.05. A total of 28 RWAS peaks were identified as conditionally significant. By integrating the results from as-aQTL, motif analysis, and RWAS, we identified candidate causal regulatory elements for two potential chromatin accessibility regions (THCA_89956 and ESCA_89167) that are associated with PDAC risk. Our study identified chromatin accessibility features in noncoding genomic regions that are associated with PDAC risk. We also predicted the associated genes and disrupt motifs. Our findings provide new insights into the regulatory mechanisms of noncoding regions for pancreatic tumorigenesis.
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Affiliation(s)
- Shuai Liu
- Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, USA
| | - Hua Zhong
- Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, USA
| | - Jingjing Zhu
- Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, USA
| | - Yong Wu
- Division of Cancer Research and Training, Department of Internal Medicine, Charles Drew University of Medicine and Science, David Geffen School of Medicine at UCLA
| | - Youping Deng
- Department of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, HI, USA
| | - Lang Wu
- Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, USA
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76
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Leuzzi G, Vasciaveo A, Taglialatela A, Chen X, Firestone TM, Hickman AR, Mao W, Thakar T, Vaitsiankova A, Huang JW, Cuella-Martin R, Hayward SB, Kesner JS, Ghasemzadeh A, Nambiar TS, Ho P, Rialdi A, Hebrard M, Li Y, Gao J, Gopinath S, Adeleke OA, Venters BJ, Drake CG, Baer R, Izar B, Guccione E, Keogh MC, Guerois R, Sun L, Lu C, Califano A, Ciccia A. SMARCAL1 is a dual regulator of innate immune signaling and PD-L1 expression that promotes tumor immune evasion. Cell 2024; 187:861-881.e32. [PMID: 38301646 PMCID: PMC10980358 DOI: 10.1016/j.cell.2024.01.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Revised: 07/23/2023] [Accepted: 01/05/2024] [Indexed: 02/03/2024]
Abstract
Genomic instability can trigger cancer-intrinsic innate immune responses that promote tumor rejection. However, cancer cells often evade these responses by overexpressing immune checkpoint regulators, such as PD-L1. Here, we identify the SNF2-family DNA translocase SMARCAL1 as a factor that favors tumor immune evasion by a dual mechanism involving both the suppression of innate immune signaling and the induction of PD-L1-mediated immune checkpoint responses. Mechanistically, SMARCAL1 limits endogenous DNA damage, thereby suppressing cGAS-STING-dependent signaling during cancer cell growth. Simultaneously, it cooperates with the AP-1 family member JUN to maintain chromatin accessibility at a PD-L1 transcriptional regulatory element, thereby promoting PD-L1 expression in cancer cells. SMARCAL1 loss hinders the ability of tumor cells to induce PD-L1 in response to genomic instability, enhances anti-tumor immune responses and sensitizes tumors to immune checkpoint blockade in a mouse melanoma model. Collectively, these studies uncover SMARCAL1 as a promising target for cancer immunotherapy.
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Affiliation(s)
- Giuseppe Leuzzi
- Department of Genetics and Development, Columbia University Irving Medical Center, New York, NY 10032, USA; Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Alessandro Vasciaveo
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA; Department of Systems Biology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Angelo Taglialatela
- Department of Genetics and Development, Columbia University Irving Medical Center, New York, NY 10032, USA; Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Xiao Chen
- Department of Genetics and Development, Columbia University Irving Medical Center, New York, NY 10032, USA; Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA
| | | | | | - Wendy Mao
- Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Tanay Thakar
- Department of Genetics and Development, Columbia University Irving Medical Center, New York, NY 10032, USA; Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Alina Vaitsiankova
- Department of Genetics and Development, Columbia University Irving Medical Center, New York, NY 10032, USA; Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Jen-Wei Huang
- Department of Genetics and Development, Columbia University Irving Medical Center, New York, NY 10032, USA; Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Raquel Cuella-Martin
- Department of Genetics and Development, Columbia University Irving Medical Center, New York, NY 10032, USA; Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Samuel B Hayward
- Department of Genetics and Development, Columbia University Irving Medical Center, New York, NY 10032, USA; Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Jordan S Kesner
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA; Department of Systems Biology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Ali Ghasemzadeh
- Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Tarun S Nambiar
- Department of Genetics and Development, Columbia University Irving Medical Center, New York, NY 10032, USA; Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Patricia Ho
- Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, NY 10032, USA; Department of Medicine, Division of Hematology and Oncology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Alexander Rialdi
- Center for OncoGenomics and Innovative Therapeutics (COGIT), Center for Therapeutics Discovery, Department of Oncological Sciences and Pharmacological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Maxime Hebrard
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (ASTAR), Singapore, Singapore
| | - Yinglu Li
- Department of Genetics and Development, Columbia University Irving Medical Center, New York, NY 10032, USA; Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Jinmei Gao
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), 91198 Gif-sur-Yvette, France
| | | | | | | | - Charles G Drake
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA; Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, NY 10032, USA; Department of Urology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Richard Baer
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA; Institute for Cancer Genetics, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Benjamin Izar
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA; Department of Systems Biology, Columbia University Irving Medical Center, New York, NY 10032, USA; Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, NY 10032, USA; Department of Medicine, Division of Hematology and Oncology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Ernesto Guccione
- Center for OncoGenomics and Innovative Therapeutics (COGIT), Center for Therapeutics Discovery, Department of Oncological Sciences and Pharmacological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | | | - Raphael Guerois
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), 91198 Gif-sur-Yvette, France
| | - Lu Sun
- EpiCypher Inc., Durham, NC 27709, USA
| | - Chao Lu
- Department of Genetics and Development, Columbia University Irving Medical Center, New York, NY 10032, USA; Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Andrea Califano
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA; Department of Systems Biology, Columbia University Irving Medical Center, New York, NY 10032, USA; Department of Biochemistry and Molecular Biophysics, Columbia University Irving Medical Center, New York, NY 10032, USA; Department of Medicine, Columbia University Irving Medical Center, New York, NY 10032, USA; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Alberto Ciccia
- Department of Genetics and Development, Columbia University Irving Medical Center, New York, NY 10032, USA; Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA; Institute for Cancer Genetics, Columbia University Irving Medical Center, New York, NY 10032, USA.
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77
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Lakatos E, Gunasri V, Zapata L, Househam J, Heide T, Trahearn N, Swinyard O, Cisneros L, Lynn C, Mossner M, Kimberley C, Spiteri I, Cresswell GD, Llibre-Palomar G, Mitchison M, Maley CC, Jansen M, Rodriguez-Justo M, Bridgewater J, Baker AM, Sottoriva A, Graham TA. Epigenome and early selection determine the tumour-immune evolutionary trajectory of colorectal cancer. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.12.579956. [PMID: 38405882 PMCID: PMC10888923 DOI: 10.1101/2024.02.12.579956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
Immune system control is a major hurdle that cancer evolution must circumvent. The relative timing and evolutionary dynamics of subclones that have escaped immune control remain incompletely characterized, and how immune-mediated selection shapes the epigenome has received little attention. Here, we infer the genome- and epigenome-driven evolutionary dynamics of tumour-immune coevolution within primary colorectal cancers (CRCs). We utilise our existing CRC multi-region multi-omic dataset that we supplement with high-resolution spatially-resolved neoantigen sequencing data and highly multiplexed imaging of the tumour microenvironment (TME). Analysis of somatic chromatin accessibility alterations (SCAAs) reveals frequent somatic loss of accessibility at antigen presenting genes, and that SCAAs contribute to silencing of neoantigens. We observe that strong immune escape and exclusion occur at the outset of CRC formation, and that within tumours, including at the microscopic level of individual tumour glands, additional immune escape alterations have negligible consequences for the immunophenotype of cancer cells. Further minor immuno-editing occurs during local invasion and is associated with TME reorganisation, but that evolutionary bottleneck is relatively weak. Collectively, we show that immune evasion in CRC follows a "Big Bang" evolutionary pattern, whereby genetic, epigenetic and TME-driven immune evasion acquired by the time of transformation defines subsequent cancer-immune evolution.
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Affiliation(s)
- Eszter Lakatos
- Department of Mathematical Sciences, Chalmers University of Technology and University of Gothenburg, Gothenburg, Sweden
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
| | - Vinaya Gunasri
- UCL Cancer Institute, University College London, London, UK
- Centre for Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | - Luis Zapata
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
| | - Jacob Househam
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
| | - Timon Heide
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
- Computational Biology Research Centre, Human Technopole, Milan, Italy
| | - Nicholas Trahearn
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
| | - Ottilie Swinyard
- Centre for Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | - Luis Cisneros
- Arizona Cancer Evolution Center, Biodesign Institute and School of Life Sciences Arizona State University, Tempe, USA
| | - Claire Lynn
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
| | - Maximilian Mossner
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
- Centre for Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | - Chris Kimberley
- Centre for Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | - Inmaculada Spiteri
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
| | - George D. Cresswell
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
| | - Gerard Llibre-Palomar
- Centre for Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | - Miriam Mitchison
- Histopathology Department, University College London Hospitals NHS Foundation Trust, London, UK
| | - Carlo C. Maley
- Arizona Cancer Evolution Center, Biodesign Institute and School of Life Sciences Arizona State University, Tempe, USA
| | - Marnix Jansen
- UCL Cancer Institute, University College London, London, UK
| | | | | | - Ann-Marie Baker
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
- Centre for Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | - Andrea Sottoriva
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
- Computational Biology Research Centre, Human Technopole, Milan, Italy
| | - Trevor A. Graham
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
- Centre for Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, UK
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78
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Company C, Schmitt MJ, Dramaretska Y, Serresi M, Kertalli S, Jiang B, Yin JA, Aguzzi A, Barozzi I, Gargiulo G. Logical design of synthetic cis-regulatory DNA for genetic tracing of cell identities and state changes. Nat Commun 2024; 15:897. [PMID: 38316783 PMCID: PMC10844330 DOI: 10.1038/s41467-024-45069-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 01/12/2024] [Indexed: 02/07/2024] Open
Abstract
Descriptive data are rapidly expanding in biomedical research. Instead, functional validation methods with sufficient complexity remain underdeveloped. Transcriptional reporters allow experimental characterization and manipulation of developmental and disease cell states, but their design lacks flexibility. Here, we report logical design of synthetic cis-regulatory DNA (LSD), a computational framework leveraging phenotypic biomarkers and trans-regulatory networks as input to design reporters marking the activity of selected cellular states and pathways. LSD uses bulk or single-cell biomarkers and a reference genome or custom cis-regulatory DNA datasets with user-defined boundary regions. By benchmarking validated reporters, we integrate LSD with a computational ranking of phenotypic specificity of putative cis-regulatory DNA. Experimentally, LSD-designed reporters targeting a wide range of cell states are functional without minimal promoters. Applied to broadly expressed genes from human and mouse tissues, LSD generates functional housekeeper-like sLCRs compatible with size constraints of AAV vectors for gene therapy applications. A mesenchymal glioblastoma reporter designed by LSD outperforms previously validated ones and canonical cell surface markers. In genome-scale CRISPRa screens, LSD facilitates the discovery of known and novel bona fide cell-state drivers. Thus, LSD captures core principles of cis-regulation and is broadly applicable to studying complex cell states and mechanisms of transcriptional regulation.
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Affiliation(s)
- Carlos Company
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Robert-Rössle-Str. 10, 13092, Berlin, Germany
| | - Matthias Jürgen Schmitt
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Robert-Rössle-Str. 10, 13092, Berlin, Germany
| | - Yuliia Dramaretska
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Robert-Rössle-Str. 10, 13092, Berlin, Germany
| | - Michela Serresi
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Robert-Rössle-Str. 10, 13092, Berlin, Germany
| | - Sonia Kertalli
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Robert-Rössle-Str. 10, 13092, Berlin, Germany
| | - Ben Jiang
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Robert-Rössle-Str. 10, 13092, Berlin, Germany
| | - Jiang-An Yin
- Institute of Neuropathology, University Hospital Zurich, University of Zurich, 8091, Zurich, Switzerland
| | - Adriano Aguzzi
- Institute of Neuropathology, University Hospital Zurich, University of Zurich, 8091, Zurich, Switzerland
| | - Iros Barozzi
- Center for Cancer Research, Medical University of Vienna, Borschkegasse 8a, 1090, Vienna, Austria
- Department of Surgery and Cancer, Imperial College London, London, UK
| | - Gaetano Gargiulo
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Robert-Rössle-Str. 10, 13092, Berlin, Germany.
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79
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Salvadores M, Supek F. Cell cycle gene alterations associate with a redistribution of mutation risk across chromosomal domains in human cancers. NATURE CANCER 2024; 5:330-346. [PMID: 38200245 DOI: 10.1038/s43018-023-00707-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Accepted: 12/11/2023] [Indexed: 01/12/2024]
Abstract
Mutations in human cells exhibit increased burden in heterochromatic, late DNA replication time (RT) chromosomal domains, with variation in mutation rates between tissues mirroring variation in heterochromatin and RT. We observed that regional mutation risk further varies between individual tumors in a manner independent of cell type, identifying three signatures of domain-scale mutagenesis in >4,000 tumor genomes. The major signature reflects remodeling of heterochromatin and of the RT program domains seen across tumors, tissues and cultured cells, and is robustly linked with higher expression of cell proliferation genes. Regional mutagenesis is associated with loss of activity of the tumor-suppressor genes RB1 and TP53, consistent with their roles in cell cycle control, with distinct mutational patterns generated by the two genes. Loss of regional heterogeneity in mutagenesis is associated with deficiencies in various DNA repair pathways. These mutation risk redistribution processes modify the mutation supply towards important genes, diverting the course of somatic evolution.
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Affiliation(s)
- Marina Salvadores
- Genome Data Science, Institute for Research in Biomedicine (IRB Barcelona), Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Fran Supek
- Genome Data Science, Institute for Research in Biomedicine (IRB Barcelona), Barcelona Institute of Science and Technology, Barcelona, Spain.
- Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, Spain.
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80
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Bai Y, Li T, Wang Q, You W, Yang H, Xu X, Li Z, Zhang Y, Yan C, Yang L, Qiu J, Liu Y, Chen S, Wang D, Huang B, Liu K, Song BL, Wang Z, Li K, Liu X, Wang G, Yang W, Chen J, Hao P, Zhang Z, Wang Z, Zhu ZJ, Xu C. Shaping immune landscape of colorectal cancer by cholesterol metabolites. EMBO Mol Med 2024; 16:334-360. [PMID: 38177537 PMCID: PMC10897227 DOI: 10.1038/s44321-023-00015-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 11/24/2023] [Accepted: 11/29/2023] [Indexed: 01/06/2024] Open
Abstract
Cancer immunotherapies have achieved unprecedented success in clinic, but they remain largely ineffective in some major types of cancer, such as colorectal cancer with microsatellite stability (MSS CRC). It is therefore important to study tumor microenvironment of resistant cancers for developing new intervention strategies. In this study, we identify a metabolic cue that determines the unique immune landscape of MSS CRC. Through secretion of distal cholesterol precursors, which directly activate RORγt, MSS CRC cells can polarize T cells toward Th17 cells that have well-characterized pro-tumor functions in colorectal cancer. Analysis of large human cancer cohorts revealed an asynchronous pattern of the cholesterol biosynthesis in MSS CRC, which is responsible for the abnormal accumulation of distal cholesterol precursors. Inhibiting the cholesterol biosynthesis enzyme Cyp51, by pharmacological or genetic interventions, reduced the levels of intratumoral distal cholesterol precursors and suppressed tumor progression through a Th17-modulation mechanism in preclinical MSS CRC models. Our study therefore reveals a novel mechanism of cancer-immune interaction and an intervention strategy for the difficult-to-treat MSS CRC.
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Affiliation(s)
- Yibing Bai
- CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Tongzhou Li
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, China
| | - Qinshu Wang
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
| | - Weiqiang You
- Department of General Surgery, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Haochen Yang
- CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Xintian Xu
- CAS Key Laboratory of Molecular Virology and Immunology, Institut Pasteur of Shanghai, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Shanghai, China
| | - Ziyi Li
- Beijing Advanced Innovation Center for Genomics, BIOPIC and School of Life Sciences, Peking University, Beijing, China
| | - Yu Zhang
- CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Chengsong Yan
- CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Lei Yang
- CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Jiaqian Qiu
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, China
| | - Yuanhua Liu
- CAS Key Laboratory of Molecular Virology and Immunology, Institut Pasteur of Shanghai, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Shanghai, China
| | - Shiyang Chen
- CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Dongfang Wang
- Beijing Advanced Innovation Center for Genomics, BIOPIC and School of Life Sciences, Peking University, Beijing, China
| | - Binlu Huang
- CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Kexin Liu
- CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Bao- Liang Song
- Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Wuhan University, Wuhan, China
| | - Zhuozhong Wang
- The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Kang Li
- Department of Epidemiology and Biostatistics, School of Public Health, Harbin Medical University, Harbin, China
| | - Xin Liu
- CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Guangchuan Wang
- CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Weiwei Yang
- CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Jianfeng Chen
- CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Pei Hao
- CAS Key Laboratory of Molecular Virology and Immunology, Institut Pasteur of Shanghai, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Shanghai, China
| | - Zemin Zhang
- Beijing Advanced Innovation Center for Genomics, BIOPIC and School of Life Sciences, Peking University, Beijing, China
| | - Zhigang Wang
- Department of General Surgery, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
| | - Zheng-Jiang Zhu
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, China.
| | - Chenqi Xu
- CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China.
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81
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Mathur R, Wang Q, Schupp PG, Nikolic A, Hilz S, Hong C, Grishanina NR, Kwok D, Stevers NO, Jin Q, Youngblood MW, Stasiak LA, Hou Y, Wang J, Yamaguchi TN, Lafontaine M, Shai A, Smirnov IV, Solomon DA, Chang SM, Hervey-Jumper SL, Berger MS, Lupo JM, Okada H, Phillips JJ, Boutros PC, Gallo M, Oldham MC, Yue F, Costello JF. Glioblastoma evolution and heterogeneity from a 3D whole-tumor perspective. Cell 2024; 187:446-463.e16. [PMID: 38242087 PMCID: PMC10832360 DOI: 10.1016/j.cell.2023.12.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 10/03/2023] [Accepted: 12/06/2023] [Indexed: 01/21/2024]
Abstract
Treatment failure for the lethal brain tumor glioblastoma (GBM) is attributed to intratumoral heterogeneity and tumor evolution. We utilized 3D neuronavigation during surgical resection to acquire samples representing the whole tumor mapped by 3D spatial coordinates. Integrative tissue and single-cell analysis revealed sources of genomic, epigenomic, and microenvironmental intratumoral heterogeneity and their spatial patterning. By distinguishing tumor-wide molecular features from those with regional specificity, we inferred GBM evolutionary trajectories from neurodevelopmental lineage origins and initiating events such as chromothripsis to emergence of genetic subclones and spatially restricted activation of differential tumor and microenvironmental programs in the core, periphery, and contrast-enhancing regions. Our work depicts GBM evolution and heterogeneity from a 3D whole-tumor perspective, highlights potential therapeutic targets that might circumvent heterogeneity-related failures, and establishes an interactive platform enabling 360° visualization and analysis of 3D spatial patterns for user-selected genes, programs, and other features across whole GBM tumors.
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Affiliation(s)
- Radhika Mathur
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Qixuan Wang
- Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Patrick G Schupp
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Ana Nikolic
- Department of Biochemistry & Molecular Biology, University of Calgary, Calgary, AB
| | - Stephanie Hilz
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Chibo Hong
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Nadia R Grishanina
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Darwin Kwok
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Nicholas O Stevers
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Qiushi Jin
- Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Mark W Youngblood
- Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Lena Ann Stasiak
- Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Ye Hou
- Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Juan Wang
- Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Takafumi N Yamaguchi
- Department of Human Genetics, University of California, Los Angeles, Los Angees, CA, USA
| | - Marisa Lafontaine
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Anny Shai
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Ivan V Smirnov
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - David A Solomon
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA
| | - Susan M Chang
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Shawn L Hervey-Jumper
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Mitchel S Berger
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Janine M Lupo
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Hideho Okada
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Joanna J Phillips
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Paul C Boutros
- Department of Human Genetics, University of California, Los Angeles, Los Angees, CA, USA
| | - Marco Gallo
- Department of Biochemistry & Molecular Biology, University of Calgary, Calgary, AB; Department of Pediatrics, Baylor College of Medicine, Texas Children's Hospital, Houston, TX, USA
| | - Michael C Oldham
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Feng Yue
- Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA; Robert H. Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
| | - Joseph F Costello
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.
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82
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Yu X, Zhao H, Wang R, Chen Y, Ouyang X, Li W, Sun Y, Peng A. Cancer epigenetics: from laboratory studies and clinical trials to precision medicine. Cell Death Discov 2024; 10:28. [PMID: 38225241 PMCID: PMC10789753 DOI: 10.1038/s41420-024-01803-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 12/23/2023] [Accepted: 01/04/2024] [Indexed: 01/17/2024] Open
Abstract
Epigenetic dysregulation is a common feature of a myriad of human diseases, particularly cancer. Defining the epigenetic defects associated with malignant tumors has become a focus of cancer research resulting in the gradual elucidation of cancer cell epigenetic regulation. In fact, most stages of tumor progression, including tumorigenesis, promotion, progression, and recurrence are accompanied by epigenetic alterations, some of which can be reversed by epigenetic drugs. The main objective of epigenetic therapy in the era of personalized precision medicine is to detect cancer biomarkers to improve risk assessment, diagnosis, and targeted treatment interventions. Rapid technological advancements streamlining the characterization of molecular epigenetic changes associated with cancers have propelled epigenetic drug research and development. This review summarizes the main mechanisms of epigenetic dysregulation and discusses past and present examples of epigenetic inhibitors in cancer diagnosis and treatment, with an emphasis on the development of epigenetic enzyme inhibitors or drugs. In the final part, the prospect of precise diagnosis and treatment is considered based on a better understanding of epigenetic abnormalities in cancer.
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Affiliation(s)
- Xinyang Yu
- Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai Institute of Translational Medicine, (Zhuhai People's Hospital Zhuhai Clinical Medical College of Jinan University), Zhuhai, 519000, China
| | - Hao Zhao
- Department of Spinal Surgery, Yichang Central People's Hospital Affiliated with China Three Gorges University, Yichang, Hubei, 443000, China
| | - Ruiqi Wang
- Department of Pharmacy, Zhuhai People's Hospital, Zhuhai People's Hospital (Zhuhai Clinical Medical College of Jinan University), Zhuhai, Guangdong, 519000, China
| | - Yingyin Chen
- Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai Institute of Translational Medicine, (Zhuhai People's Hospital Zhuhai Clinical Medical College of Jinan University), Zhuhai, 519000, China
| | - Xumei Ouyang
- Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai Institute of Translational Medicine, (Zhuhai People's Hospital Zhuhai Clinical Medical College of Jinan University), Zhuhai, 519000, China
| | - Wenting Li
- Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai Institute of Translational Medicine, (Zhuhai People's Hospital Zhuhai Clinical Medical College of Jinan University), Zhuhai, 519000, China
| | - Yihao Sun
- Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai Institute of Translational Medicine, (Zhuhai People's Hospital Zhuhai Clinical Medical College of Jinan University), Zhuhai, 519000, China.
| | - Anghui Peng
- Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai Institute of Translational Medicine, (Zhuhai People's Hospital Zhuhai Clinical Medical College of Jinan University), Zhuhai, 519000, China.
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83
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Sun Y, Wu P, Zhang Z, Wang Z, Zhou K, Song M, Ji Y, Zang F, Lou L, Rao K, Wang P, Gu Y, Gu J, Lu B, Chen L, Pan X, Zhao X, Peng L, Liu D, Chen X, Wu K, Lin P, Wu L, Su Y, Du M, Hou Y, Yang X, Qiu S, Shi Y, Sun H, Zhou J, Huang X, Peng DH, Zhang L, Fan J. Integrated multi-omics profiling to dissect the spatiotemporal evolution of metastatic hepatocellular carcinoma. Cancer Cell 2024; 42:135-156.e17. [PMID: 38101410 DOI: 10.1016/j.ccell.2023.11.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 09/27/2023] [Accepted: 11/21/2023] [Indexed: 12/17/2023]
Abstract
Comprehensive molecular analyses of metastatic hepatocellular carcinoma (HCC) are lacking. Here, we generate multi-omic profiling of 257 primary and 176 metastatic regions from 182 HCC patients. Primary tumors rich in hypoxia signatures facilitated polyclonal dissemination. Genomic divergence between primary and metastatic HCC is high, and early dissemination is prevalent. The remarkable neoantigen intratumor heterogeneity observed in metastases is associated with decreased T cell reactivity, resulting from disruptions to neoantigen presentation. We identify somatic copy number alterations as highly selected events driving metastasis. Subclones without Wnt mutations show a stronger selective advantage for metastasis than those with Wnt mutations and are characterized by a microenvironment rich in activated fibroblasts favoring a pro-metastatic phenotype. Finally, metastases without Wnt mutations exhibit higher enrichment of immunosuppressive B cells that mediate terminal exhaustion of CD8+ T cells via HLA-E:CD94-NKG2A checkpoint axis. Collectively, our results provide a multi-dimensional dissection of the complex evolutionary process of metastasis.
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Affiliation(s)
- Yunfan Sun
- Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai 200032, China.
| | - Pin Wu
- School of Life Science and Technology, ShanghaiTech University, Shanghai 200032, China; Shanghai Clinical Research and Trial Center, Shanghai 201210, China; University of Chinese Academy of Sciences, Beijing 100049, China; BGI Research, Shenzhen 518083, China
| | - Zefan Zhang
- Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai 200032, China
| | - Zejian Wang
- School of Life Science and Technology, ShanghaiTech University, Shanghai 200032, China; Shanghai Clinical Research and Trial Center, Shanghai 201210, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Kaiqian Zhou
- Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai 200032, China
| | - Minfang Song
- Research Center for Intelligent Computing Platforms, Zhejiang Lab, Hangzhou, Zhejiang 311121, China
| | - Yuan Ji
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Fenglin Zang
- Department of Pathology, Liver Cancer Research Center, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
| | - Limu Lou
- School of Life Science and Technology, ShanghaiTech University, Shanghai 200032, China; Shanghai Clinical Research and Trial Center, Shanghai 201210, China
| | - Keqiang Rao
- Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai 200032, China
| | - Pengxiang Wang
- Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai 200032, China
| | - Yutong Gu
- Department of Orthopaedic Surgery, Zhongshan Hospital Fudan University, Shanghai 200032, China
| | - Jie Gu
- Department of Thoracic Surgery, Zhongshan Hospital Fudan University, Shanghai 200032, China
| | - Binbin Lu
- Dunwill Med-Tech, Shanghai 200032, China
| | | | - Xiuqi Pan
- School of Life Science and Technology, ShanghaiTech University, Shanghai 200032, China; Shanghai Clinical Research and Trial Center, Shanghai 201210, China
| | - Xiaojing Zhao
- School of Life Science and Technology, ShanghaiTech University, Shanghai 200032, China; Shanghai Clinical Research and Trial Center, Shanghai 201210, China
| | - Lihua Peng
- BGI Research, Shenzhen 518083, China; Guangdong Provincial Key Laboratory of Human Disease Genomics, Shenzhen Key Laboratory of Genomics, BGI Research, Shenzhen 518083, China
| | - Dongbing Liu
- BGI Research, Shenzhen 518083, China; Guangdong Provincial Key Laboratory of Human Disease Genomics, Shenzhen Key Laboratory of Genomics, BGI Research, Shenzhen 518083, China
| | - Xiaofang Chen
- BGI Research, Shenzhen 518083, China; Guangdong Provincial Key Laboratory of Human Disease Genomics, Shenzhen Key Laboratory of Genomics, BGI Research, Shenzhen 518083, China
| | - Kui Wu
- BGI Research, Shenzhen 518083, China; Guangdong Provincial Key Laboratory of Human Disease Genomics, Shenzhen Key Laboratory of Genomics, BGI Research, Shenzhen 518083, China
| | - Penghui Lin
- BGI Research, Shenzhen 518083, China; Guangdong Provincial Key Laboratory of Human Disease Genomics, Shenzhen Key Laboratory of Genomics, BGI Research, Shenzhen 518083, China
| | - Liang Wu
- BGI Research, Shenzhen 518083, China
| | - Yulin Su
- School of Life Science and Technology, ShanghaiTech University, Shanghai 200032, China; Shanghai Clinical Research and Trial Center, Shanghai 201210, China
| | - Min Du
- Department of Pathology, Huadong Hospital, Fudan University, Shanghai 200032, China
| | - Yingyong Hou
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Xinrong Yang
- Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai 200032, China
| | - Shuangjian Qiu
- Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai 200032, China
| | - Yinghong Shi
- Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai 200032, China
| | - Huichuan Sun
- Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai 200032, China
| | - Jian Zhou
- Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai 200032, China
| | - Xingxu Huang
- Research Center for Intelligent Computing Platforms, Zhejiang Lab, Hangzhou, Zhejiang 311121, China
| | | | - Liye Zhang
- School of Life Science and Technology, ShanghaiTech University, Shanghai 200032, China; Shanghai Clinical Research and Trial Center, Shanghai 201210, China.
| | - Jia Fan
- Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai 200032, China.
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84
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Shuai Y, Zhang H, Liu C, Wang J, Jiang Y, Sun J, Gao X, Bo X, Xiao X, Liao X, Huang C, Chen H, Jiang G. CLIC3 interacts with NAT10 to inhibit N4-acetylcytidine modification of p21 mRNA and promote bladder cancer progression. Cell Death Dis 2024; 15:9. [PMID: 38182571 PMCID: PMC10770081 DOI: 10.1038/s41419-023-06373-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Revised: 11/27/2023] [Accepted: 12/05/2023] [Indexed: 01/07/2024]
Abstract
Chromatin accessibility plays important roles in revealing the regulatory networks of gene expression, while its application in bladder cancer is yet to be fully elucidated. Chloride intracellular channel 3 (CLIC3) protein has been reported to be associated with the progression of some tumors, whereas the specific mechanism of CLIC3 in tumor remains unclear. Here, we screened for key genes in bladder cancer through the identification of transcription factor binding site clustered region (TFCR) on the basis of chromatin accessibility and TF motif. CLIC3 was identified by joint profiling of chromatin accessibility data with TCGA database. Clinically, CLIC3 expression was significantly elevated in bladder cancer and was negatively correlated with patient survival. CLIC3 promoted the proliferation of bladder cancer cells by reducing p21 expression in vitro and in vivo. Mechanistically, CLIC3 interacted with NAT10 and inhibited the function of NAT10, resulting in the downregulation of ac4C modification and stability of p21 mRNA. Overall, these findings uncover an novel mechanism of mRNA ac4C modification and CLIC3 may act as a potential therapeutic target for bladder cancer.
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Affiliation(s)
- Yujun Shuai
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Hui Zhang
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Changhao Liu
- Institute of Health Service and Transfusion Medicine, Beijing, 100850, China
| | - Junting Wang
- Institute of Health Service and Transfusion Medicine, Beijing, 100850, China
| | - Yangkai Jiang
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Jiayin Sun
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Xincheng Gao
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Xiaochen Bo
- Institute of Health Service and Transfusion Medicine, Beijing, 100850, China
| | - Xingyuan Xiao
- Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Xin Liao
- Department of General Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Chao Huang
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
| | - Hebing Chen
- Institute of Health Service and Transfusion Medicine, Beijing, 100850, China.
| | - Guosong Jiang
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
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85
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Hariprakash JM, Salviato E, La Mastra F, Sebestyén E, Tagliaferri I, Silva RS, Lucini F, Farina L, Cinquanta M, Rancati I, Riboni M, Minardi SP, Roz L, Gorini F, Lanzuolo C, Casola S, Ferrari F. Leveraging Tissue-Specific Enhancer-Target Gene Regulatory Networks Identifies Enhancer Somatic Mutations That Functionally Impact Lung Cancer. Cancer Res 2024; 84:133-153. [PMID: 37855660 PMCID: PMC10758689 DOI: 10.1158/0008-5472.can-23-1129] [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: 04/13/2023] [Revised: 08/29/2023] [Accepted: 10/17/2023] [Indexed: 10/20/2023]
Abstract
Enhancers are noncoding regulatory DNA regions that modulate the transcription of target genes, often over large distances along with the genomic sequence. Enhancer alterations have been associated with various pathological conditions, including cancer. However, the identification and characterization of somatic mutations in noncoding regulatory regions with a functional effect on tumorigenesis and prognosis remain a major challenge. Here, we present a strategy for detecting and characterizing enhancer mutations in a genome-wide analysis of patient cohorts, across three lung cancer subtypes. Lung tissue-specific enhancers were defined by integrating experimental data and public epigenomic profiles, and the genome-wide enhancer-target gene regulatory network of lung cells was constructed by integrating chromatin three-dimensional architecture data. Lung cancers possessed a similar mutation burden at tissue-specific enhancers and exons but with differences in their mutation signatures. Functionally relevant alterations were prioritized on the basis of the pathway-level integration of the effect of a mutation and the frequency of mutations on individual enhancers. The genes enriched for mutated enhancers converged on the regulation of key biological processes and pathways relevant to tumor biology. Recurrent mutations in individual enhancers also affected the expression of target genes, with potential relevance for patient prognosis. Together, these findings show that noncoding regulatory mutations have a potential relevance for cancer pathogenesis and can be exploited for patient classification. SIGNIFICANCE Mapping enhancer-target gene regulatory interactions and analyzing enhancer mutations at the level of their target genes and pathways reveal convergence of recurrent enhancer mutations on biological processes involved in tumorigenesis and prognosis.
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Affiliation(s)
| | - Elisa Salviato
- IFOM-ETS, the AIRC Institute of Molecular Oncology, Milan, Italy
| | | | - Endre Sebestyén
- IFOM-ETS, the AIRC Institute of Molecular Oncology, Milan, Italy
| | | | | | - Federica Lucini
- IFOM-ETS, the AIRC Institute of Molecular Oncology, Milan, Italy
| | - Lorenzo Farina
- IFOM-ETS, the AIRC Institute of Molecular Oncology, Milan, Italy
| | | | - Ilaria Rancati
- IFOM-ETS, the AIRC Institute of Molecular Oncology, Milan, Italy
| | | | | | - Luca Roz
- Fondazione IRCCS—Istituto Nazionale Tumori, Milan, Italy
| | - Francesca Gorini
- INGM, National Institute of Molecular Genetics “Romeo ed Enrica Invernizzi,” Milan, Italy
| | - Chiara Lanzuolo
- INGM, National Institute of Molecular Genetics “Romeo ed Enrica Invernizzi,” Milan, Italy
- Institute of Biomedical Technologies, National Research Council (ITB-CNR), Segrate, Italy
| | - Stefano Casola
- IFOM-ETS, the AIRC Institute of Molecular Oncology, Milan, Italy
| | - Francesco Ferrari
- IFOM-ETS, the AIRC Institute of Molecular Oncology, Milan, Italy
- Institute of Molecular Genetics “Luigi Luca Cavalli-Sforza,” National Research Council (IGM-CNR), Pavia, Italy
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86
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Zhang J, Zhang Z, Zhang R, Yang C, Zhang X, Chang S, Chen Q, Rossi V, Zhao L, Xiao J, Xin M, Du J, Guo W, Hu Z, Liu J, Peng H, Ni Z, Sun Q, Yao Y. Type I MADS-box transcription factor TaMADS-GS regulates grain size by stabilizing cytokinin signalling during endosperm cellularization in wheat. PLANT BIOTECHNOLOGY JOURNAL 2024; 22:200-215. [PMID: 37752705 PMCID: PMC10754016 DOI: 10.1111/pbi.14180] [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: 05/03/2023] [Revised: 09/01/2023] [Accepted: 09/09/2023] [Indexed: 09/28/2023]
Abstract
Grain size is one of the important traits in wheat breeding programs aimed at improving yield, and cytokinins, mainly involved in cell division, have a positive impact on grain size. Here, we identified a novel wheat gene TaMADS-GS encoding type I MADS-box transcription factor, which regulates the cytokinins signalling pathway during early stages of grain development to modulate grain size and weight in wheat. TaMADS-GS is exclusively expressed in grains at early stage of seed development and its knockout leads to delayed endosperm cellularization, smaller grain size and lower grain weight. TaMADS-GS protein interacts with the Polycomb Repressive Complex 2 (PRC2) and leads to repression of genes encoding cytokinin oxidase/dehydrogenases (CKXs) stimulating cytokinins inactivation by mediating accumulation of the histone H3 trimethylation at lysine 27 (H3K27me3). Through the screening of a large wheat germplasm collection, an elite allele of the TaMADS-GS exhibits higher ability to repress expression of genes inactivating cytokinins and a positive correlation with grain size and weight, thus representing a novel marker for breeding programs in wheat. Overall, these findings support the relevance of TaMADS-GS as a key regulator of wheat grain size and weight.
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Affiliation(s)
- Jianing Zhang
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), and Beijing Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
| | - Zhaoheng Zhang
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), and Beijing Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
| | - Ruijie Zhang
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), and Beijing Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
| | - Changfeng Yang
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), and Beijing Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
| | - Xiaobang Zhang
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), and Beijing Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
| | - Siyuan Chang
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), and Beijing Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
| | - Qian Chen
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), and Beijing Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
| | - Vincenzo Rossi
- Council for Agricultural Research and EconomicsResearch Centre for Cereal and Industrial CropsBergamoItaly
| | - Long Zhao
- Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental BiologyChinese Academy of SciencesBeijingChina
| | - Jun Xiao
- Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental BiologyChinese Academy of SciencesBeijingChina
| | - Mingming Xin
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), and Beijing Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
| | - Jinkun Du
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), and Beijing Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
| | - Weilong Guo
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), and Beijing Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
| | - Zhaorong Hu
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), and Beijing Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
| | - Jie Liu
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), and Beijing Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
| | - Huiru Peng
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), and Beijing Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
| | - Zhongfu Ni
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), and Beijing Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
| | - Qixin Sun
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), and Beijing Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
| | - Yingyin Yao
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization (MOE), and Beijing Key Laboratory of Crop Genetic ImprovementChina Agricultural UniversityBeijingChina
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87
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Cheng JH, Zheng C, Yamada R, Okada D. Visualization of the landscape of the read alignment shape of ATAC-seq data using Hellinger distance metric. Genes Cells 2024; 29:5-16. [PMID: 37989133 DOI: 10.1111/gtc.13082] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 10/25/2023] [Accepted: 10/28/2023] [Indexed: 11/23/2023]
Abstract
Assay for Transposase-Accessible Chromatin using high-throughput sequencing (ATAC-seq) is the popular technique using next-generation sequencing to measure chromatin accessibility and identify open chromatin regions. While read alignment shape information of next-generation sequencing data with intensity information has been used in various bioinformatics methods, few studies have focused on pure shape information alone. In this study, we investigated what types of ATAC-seq read alignment shapes are observed for the promoter region and whether the pure shape information was related or unrelated to other gene features. We introduced a novel concept and pipeline for handling the pure shape information of NGS data as probability distributions and quantifying their dissimilarities by information theory. Based on this concept, we demonstrate that the pure shape information of ATAC-seq data is correlated with chromatin openness and some gene characteristics. On the other hand, it is suggested that the pure information of ATAC-seq read alignment shape is unlikely to contain additional information to explain differences in RNA expression. Our study suggests that viewing the read alignment shape of NGS data as probability distributions enables us to capture the characteristics of the genome-wide landscape of such data in a non-parametric manner.
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Affiliation(s)
- Jian Hao Cheng
- Center for Genomics Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Cheng Zheng
- Center for Genomics Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Ryo Yamada
- Center for Genomics Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Daigo Okada
- Center for Genomics Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
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88
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Hasan A, Khan NA, Uddin S, Khan AQ, Steinhoff M. Deregulated transcription factors in the emerging cancer hallmarks. Semin Cancer Biol 2024; 98:31-50. [PMID: 38123029 DOI: 10.1016/j.semcancer.2023.12.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 11/25/2023] [Accepted: 12/14/2023] [Indexed: 12/23/2023]
Abstract
Cancer progression is a multifaceted process that entails several stages and demands the persistent expression or activation of transcription factors (TFs) to facilitate growth and survival. TFs are a cluster of proteins with DNA-binding domains that attach to promoter or enhancer DNA strands to start the transcription of genes by collaborating with RNA polymerase and other supporting proteins. They are generally acknowledged as the major regulatory molecules that coordinate biological homeostasis and the appropriate functioning of cellular components, subsequently contributing to human physiology. TFs proteins are crucial for controlling transcription during the embryonic stage and development, and the stability of different cell types depends on how they function in different cell types. The development and progression of cancer cells and tumors might be triggered by any anomaly in transcription factor function. It has long been acknowledged that cancer development is accompanied by the dysregulated activity of TF alterations which might result in faulty gene expression. Recent studies have suggested that dysregulated transcription factors play a major role in developing various human malignancies by altering and rewiring metabolic processes, modifying the immune response, and triggering oncogenic signaling cascades. This review emphasizes the interplay between TFs involved in metabolic and epigenetic reprogramming, evading immune attacks, cellular senescence, and the maintenance of cancer stemness in cancerous cells. The insights presented herein will facilitate the development of innovative therapeutic modalities to tackle the dysregulated transcription factors underlying cancer.
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Affiliation(s)
- Adria Hasan
- Molecular Cell Biology Laboratory, Integral Information and Research Centre-4 (IIRC-4), Integral University, Lucknow 226026, India; Department of Bioengineering, Faculty of Engineering, Integral University, Lucknow 226026, India
| | - Naushad Ahmad Khan
- Department of Surgery, Trauma and Vascular Surgery Clinical Research, Hamad General Hospital, Doha 3050, Qatar
| | - Shahab Uddin
- Translational Research Institute, Academic Health System, Hamad Medical Corporation, Doha 3050, Qatar; Department of Biosciences, Integral University, Lucknow 226026, India; Animal Research Center, Qatar University, Doha, Qatar; Dermatology Institute, Academic Health System, Hamad Medical Corporation, Doha 3050, Qatar
| | - Abdul Q Khan
- Translational Research Institute, Academic Health System, Hamad Medical Corporation, Doha 3050, Qatar.
| | - Martin Steinhoff
- Translational Research Institute, Academic Health System, Hamad Medical Corporation, Doha 3050, Qatar; Animal Research Center, Qatar University, Doha, Qatar; Department of Dermatology and Venereology, Rumailah Hospital, Hamad Medical Corporation, Doha 3050, Qatar; Department of Medicine, Weill Cornell Medicine Qatar, Qatar Foundation-Education City, Doha 24144, Qatar; Department of Medicine, Weill Cornell Medicine, 1300 York Avenue, New York, NY 10065, USA; College of Medicine, Qatar University, Doha 2713, Qatar
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89
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Bravo González-Blas C, Matetovici I, Hillen H, Taskiran II, Vandepoel R, Christiaens V, Sansores-García L, Verboven E, Hulselmans G, Poovathingal S, Demeulemeester J, Psatha N, Mauduit D, Halder G, Aerts S. Single-cell spatial multi-omics and deep learning dissect enhancer-driven gene regulatory networks in liver zonation. Nat Cell Biol 2024; 26:153-167. [PMID: 38182825 PMCID: PMC10791584 DOI: 10.1038/s41556-023-01316-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 11/15/2023] [Indexed: 01/07/2024]
Abstract
In the mammalian liver, hepatocytes exhibit diverse metabolic and functional profiles based on their location within the liver lobule. However, it is unclear whether this spatial variation, called zonation, is governed by a well-defined gene regulatory code. Here, using a combination of single-cell multiomics, spatial omics, massively parallel reporter assays and deep learning, we mapped enhancer-gene regulatory networks across mouse liver cell types. We found that zonation affects gene expression and chromatin accessibility in hepatocytes, among other cell types. These states are driven by the repressors TCF7L1 and TBX3, alongside other core hepatocyte transcription factors, such as HNF4A, CEBPA, FOXA1 and ONECUT1. To examine the architecture of the enhancers driving these cell states, we trained a hierarchical deep learning model called DeepLiver. Our study provides a multimodal understanding of the regulatory code underlying hepatocyte identity and their zonation state that can be used to engineer enhancers with specific activity levels and zonation patterns.
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Affiliation(s)
- Carmen Bravo González-Blas
- VIB Center for Brain & Disease Research, Leuven, Belgium
- Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Irina Matetovici
- VIB Center for Brain & Disease Research, Leuven, Belgium
- VIB Center for AI and Computational Biology (VIB.AI), Leuven, Belgium
- VIB Tech Watch, VIB Headquarters, Ghent, Belgium
| | - Hanne Hillen
- VIB Center for Cancer Biology, Leuven, Belgium
- Department of Oncology, KU Leuven, Leuven, Belgium
| | - Ibrahim Ihsan Taskiran
- VIB Center for Brain & Disease Research, Leuven, Belgium
- Department of Human Genetics, KU Leuven, Leuven, Belgium
- VIB Center for AI and Computational Biology (VIB.AI), Leuven, Belgium
| | - Roel Vandepoel
- VIB Center for Brain & Disease Research, Leuven, Belgium
- Department of Human Genetics, KU Leuven, Leuven, Belgium
- VIB Center for AI and Computational Biology (VIB.AI), Leuven, Belgium
| | - Valerie Christiaens
- VIB Center for Brain & Disease Research, Leuven, Belgium
- Department of Human Genetics, KU Leuven, Leuven, Belgium
- VIB Center for AI and Computational Biology (VIB.AI), Leuven, Belgium
| | - Leticia Sansores-García
- VIB Center for Cancer Biology, Leuven, Belgium
- Department of Oncology, KU Leuven, Leuven, Belgium
| | - Elisabeth Verboven
- VIB Center for Cancer Biology, Leuven, Belgium
- Department of Oncology, KU Leuven, Leuven, Belgium
| | - Gert Hulselmans
- VIB Center for Brain & Disease Research, Leuven, Belgium
- Department of Human Genetics, KU Leuven, Leuven, Belgium
- VIB Center for AI and Computational Biology (VIB.AI), Leuven, Belgium
| | | | - Jonas Demeulemeester
- VIB Center for Brain & Disease Research, Leuven, Belgium
- Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Nikoleta Psatha
- VIB Center for Brain & Disease Research, Leuven, Belgium
- Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - David Mauduit
- VIB Center for Brain & Disease Research, Leuven, Belgium
- Department of Human Genetics, KU Leuven, Leuven, Belgium
- VIB Center for AI and Computational Biology (VIB.AI), Leuven, Belgium
| | - Georg Halder
- VIB Center for Cancer Biology, Leuven, Belgium
- Department of Oncology, KU Leuven, Leuven, Belgium
| | - Stein Aerts
- VIB Center for Brain & Disease Research, Leuven, Belgium.
- Department of Human Genetics, KU Leuven, Leuven, Belgium.
- VIB Center for AI and Computational Biology (VIB.AI), Leuven, Belgium.
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90
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Barrios-Camacho CM, Zunitch MJ, Louie JD, Jang W, Schwob JE. An in vitro model of acute horizontal basal cell activation reveals dynamic gene regulatory networks underlying the acute activation phase. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.14.568855. [PMID: 38168359 PMCID: PMC10760135 DOI: 10.1101/2023.12.14.568855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
Horizontal basal cells (HBCs) activate only in response to severe olfactory epithelium (OE) injury. This activation is mediated by the loss of the transcription factor TP63. Using the compound phorbol 12-myristate 13-acetate (PMA), we find that we can model the process of acute HBC activation. First, we find that PMA treatment induces a rapid loss in TP63 protein and induces the expression of HOPX and the nuclear translocation of RELA, previously identified to mediate HBC activation. Using bulk RNA sequencing, we find that PMA-treated HBCs pass through various stages of acute activation identifiable by transcriptional regulatory signatures that mimic stages identified in vivo . These temporal stages are associated with varying degrees of engraftment and differentiation potential in transplantation assays. Together, this data shows that our model can model physiologically relevant features of HBC activation and identifies new candidates for mechanistic testing.
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91
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Dehkordi SR, Wong ITL, Ni J, Luebeck J, Zhu K, Prasad G, Krockenberger L, Xu G, Chowdhury B, Rajkumar U, Caplin A, Muliaditan D, Coruh C, Jin Q, Turner K, Teo SX, Pang AWC, Alexandrov LB, Chua CEL, Furnari FB, Paulson TG, Law JA, Chang HY, Yue F, DasGupta R, Zhao J, Mischel PS, Bafna V. Breakage fusion bridge cycles drive high oncogene copy number, but not intratumoral genetic heterogeneity or rapid cancer genome change. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.12.571349. [PMID: 38168210 PMCID: PMC10760206 DOI: 10.1101/2023.12.12.571349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
Oncogene amplification is a major driver of cancer pathogenesis. Breakage fusion bridge (BFB) cycles, like extrachromosomal DNA (ecDNA), can lead to high copy numbers of oncogenes, but their impact on intratumoral heterogeneity, treatment response, and patient survival are not well understood due to difficulty in detecting them by DNA sequencing. We describe a novel algorithm that detects and reconstructs BFB amplifications using optical genome maps (OGMs), called OM2BFB. OM2BFB showed high precision (>93%) and recall (92%) in detecting BFB amplifications in cancer cell lines, PDX models and primary tumors. OM-based comparisons demonstrated that short-read BFB detection using our AmpliconSuite (AS) toolkit also achieved high precision, albeit with reduced sensitivity. We detected 371 BFB events using whole genome sequences from 2,557 primary tumors and cancer lines. BFB amplifications were preferentially found in cervical, head and neck, lung, and esophageal cancers, but rarely in brain cancers. BFB amplified genes show lower variance of gene expression, with fewer options for regulatory rewiring relative to ecDNA amplified genes. BFB positive (BFB (+)) tumors showed reduced heterogeneity of amplicon structures, and delayed onset of resistance, relative to ecDNA(+) tumors. EcDNA and BFB amplifications represent contrasting mechanisms to increase the copy numbers of oncogene with markedly different characteristics that suggest different routes for intervention.
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Affiliation(s)
- Siavash Raeisi Dehkordi
- Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA
| | - Ivy Tsz-Lo Wong
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
- Sarafan ChEM-H, Stanford University, Stanford, CA, USA
| | - Jing Ni
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215 USA
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115 USA
| | - Jens Luebeck
- Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA
- Bioinformatics and Systems Biology Graduate Program, University of California San Diego, San Diego, CA, USA
| | - Kaiyuan Zhu
- Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA
| | - Gino Prasad
- Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA
| | - Lena Krockenberger
- Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA
| | - Guanghui Xu
- Plant Molecular and Cellular Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA, 92037, USA
| | - Biswanath Chowdhury
- Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA
| | - Utkrisht Rajkumar
- Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA
| | - Ann Caplin
- Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA
| | - Daniel Muliaditan
- Laboratory of Precision Oncology and Cancer Evolution, Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore
| | - Ceyda Coruh
- Plant Molecular and Cellular Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA, 92037, USA
- ClearNote Health, San Diego, CA 92121 USA
| | - Qiushi Jin
- Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine Northwestern University, Chicago, IL, USA
| | | | - Shu Xian Teo
- Singapore Nuclear Research and Safety Initiative, National University of Singapore
| | | | - Ludmil B Alexandrov
- Moores Cancer Center, UC San Diego Health, La Jolla, CA, USA
- Department of Cellular and Molecular Medicine, University of California at San Diego, La Jolla, CA, USA
- Department of Bioengineering, University of California at San Diego, La Jolla, CA, USA
| | | | - Frank B Furnari
- Department of Medicine, University of California at San Diego, La Jolla, CA, USA
| | - Thomas G Paulson
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Julie A Law
- Plant Molecular and Cellular Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA, 92037, USA
- Division of Biological Sciences, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Howard Y Chang
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
- Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Feng Yue
- Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine Northwestern University, Chicago, IL, USA
- Robert H. Lurie Comprehensive Cancer Center of Northwestern University, Chicago, IL, USA
| | - Ramanuj DasGupta
- Laboratory of Precision Oncology and Cancer Evolution, Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore
| | - Jean Zhao
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215 USA
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115 USA
| | - Paul S Mischel
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
- Sarafan ChEM-H, Stanford University, Stanford, CA, USA
| | - Vineet Bafna
- Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA
- Halıcıoğlu Data Science Institute, University of California at San Diego, La Jolla, CA, USA
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92
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Barnett KR, Mobley RJ, Diedrich JD, Bergeron BP, Bhattarai KR, Monovich AC, Narina S, Yang W, Crews KR, Manring CS, Jabbour E, Paietta E, Litzow MR, Kornblau SM, Stock W, Inaba H, Jeha S, Pui CH, Mullighan CG, Relling MV, Pruett-Miller SM, Ryan RJH, Yang JJ, Evans WE, Savic D. Epigenomic mapping reveals distinct B cell acute lymphoblastic leukemia chromatin architectures and regulators. CELL GENOMICS 2023; 3:100442. [PMID: 38116118 PMCID: PMC10726428 DOI: 10.1016/j.xgen.2023.100442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 08/30/2023] [Accepted: 10/20/2023] [Indexed: 12/21/2023]
Abstract
B cell lineage acute lymphoblastic leukemia (B-ALL) is composed of diverse molecular subtypes, and while transcriptional and DNA methylation profiling has been extensively examined, the chromatin landscape is not well characterized for many subtypes. We therefore mapped chromatin accessibility using ATAC-seq in primary B-ALL cells from 156 patients spanning ten molecular subtypes and present this dataset as a resource. Differential chromatin accessibility and transcription factor (TF) footprint profiling were employed and identified B-ALL cell of origin, TF-target gene interactions enriched in B-ALL, and key TFs associated with accessible chromatin sites preferentially active in B-ALL. We further identified over 20% of accessible chromatin sites exhibiting strong subtype enrichment and candidate TFs that maintain subtype-specific chromatin architectures. Over 9,000 genetic variants were uncovered, contributing to variability in chromatin accessibility among patient samples. Our data suggest that distinct chromatin architectures are driven by diverse TFs and inherited genetic variants that promote unique gene-regulatory networks.
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Affiliation(s)
- Kelly R Barnett
- Hematological Malignancies Program, St. Jude Children's Research Hospital, Memphis, TN 38105, USA; Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Robert J Mobley
- Hematological Malignancies Program, St. Jude Children's Research Hospital, Memphis, TN 38105, USA; Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Jonathan D Diedrich
- Hematological Malignancies Program, St. Jude Children's Research Hospital, Memphis, TN 38105, USA; Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Brennan P Bergeron
- Hematological Malignancies Program, St. Jude Children's Research Hospital, Memphis, TN 38105, USA; Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, TN 38105, USA; Graduate School of Biomedical Sciences, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Kashi Raj Bhattarai
- Hematological Malignancies Program, St. Jude Children's Research Hospital, Memphis, TN 38105, USA; Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Alexander C Monovich
- Department of Pathology, University of Michigan-Ann Arbor, Rogel Cancer Center, Ann Arbor, MI 48109, USA
| | - Shilpa Narina
- Center for Advanced Genome Engineering, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Wenjian Yang
- Hematological Malignancies Program, St. Jude Children's Research Hospital, Memphis, TN 38105, USA; Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Kristine R Crews
- Hematological Malignancies Program, St. Jude Children's Research Hospital, Memphis, TN 38105, USA; Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Christopher S Manring
- Alliance Hematologic Malignancy Biorepository, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, OH 43210, USA
| | - Elias Jabbour
- Department of Leukemia, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA
| | - Elisabeth Paietta
- Department of Oncology, Montefiore Medical Center, Bronx, NY 10467, USA
| | - Mark R Litzow
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA
| | - Steven M Kornblau
- Department of Leukemia, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA
| | - Wendy Stock
- University of Chicago Comprehensive Cancer Center, Chicago, IL 60637, USA
| | - Hiroto Inaba
- Hematological Malignancies Program, St. Jude Children's Research Hospital, Memphis, TN 38105, USA; Department of Oncology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Sima Jeha
- Hematological Malignancies Program, St. Jude Children's Research Hospital, Memphis, TN 38105, USA; Department of Oncology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Ching-Hon Pui
- Hematological Malignancies Program, St. Jude Children's Research Hospital, Memphis, TN 38105, USA; Department of Oncology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Charles G Mullighan
- Hematological Malignancies Program, St. Jude Children's Research Hospital, Memphis, TN 38105, USA; Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Mary V Relling
- Hematological Malignancies Program, St. Jude Children's Research Hospital, Memphis, TN 38105, USA; Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Shondra M Pruett-Miller
- Center for Advanced Genome Engineering, St. Jude Children's Research Hospital, Memphis, TN 38105, USA; Department of Cell and Molecular Biology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Russell J H Ryan
- Department of Pathology, University of Michigan-Ann Arbor, Rogel Cancer Center, Ann Arbor, MI 48109, USA
| | - Jun J Yang
- Hematological Malignancies Program, St. Jude Children's Research Hospital, Memphis, TN 38105, USA; Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, TN 38105, USA; Graduate School of Biomedical Sciences, St. Jude Children's Research Hospital, Memphis, TN 38105, USA; Integrated Biomedical Sciences Program, University of Tennessee Health Science Center, Memphis, TN 38105, USA
| | - William E Evans
- Hematological Malignancies Program, St. Jude Children's Research Hospital, Memphis, TN 38105, USA; Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Daniel Savic
- Hematological Malignancies Program, St. Jude Children's Research Hospital, Memphis, TN 38105, USA; Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, TN 38105, USA; Graduate School of Biomedical Sciences, St. Jude Children's Research Hospital, Memphis, TN 38105, USA; Integrated Biomedical Sciences Program, University of Tennessee Health Science Center, Memphis, TN 38105, USA.
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93
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Li Q, Qin K, Tian Y, Chen B, Zhao G, Xu S, Wu L. Inhibition of demethylase by IOX1 modulates chromatin accessibility to enhance NSCLC radiation sensitivity through attenuated PIF1. Cell Death Dis 2023; 14:817. [PMID: 38086789 PMCID: PMC10716120 DOI: 10.1038/s41419-023-06346-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 11/22/2023] [Accepted: 11/28/2023] [Indexed: 12/18/2023]
Abstract
Chromatin accessibility is a critical determinant of gene transcriptional expression and regulated by histones modification. However, the potential for manipulating chromatin accessibility to regulate radiation sensitivity remains unclear. Our findings demonstrated that the histone demethylase inhibitor, 5-carboxy-8-hydroxyquinoline (IOX1), could enhance the radiosensitivity of non-small cell lung cancer (NSCLC) in vitro and in vivo. Mechanistically, IOX1 treatment reduced chromatin accessibility in the promoter region of DNA damage repair genes, leading to decreased DNA repair efficiency and elevated DNA damage induced by γ irradiation. Notably, IOX1 treatment significantly reduced both chromatin accessibility and the transcription of phytochrome interacting factor 1 (PIF1), a key player in telomere maintenance. Inhibition of PIF1 delayed radiation-induced DNA and telomeric DNA damage repair, as well as increased radiosensitivity of NSCLC in vitro and in vivo. Further study indicated that the above process was regulated by a reduction of transcription factor myc-associated zinc finger protein (MAZ) binding to the distal intergenic region of the PIF1. Taken together, IOX1-mediated demethylase inactivation reduced chromatin accessibility, leading to elevated telomere damage which is partly due to PIF1 inhibition, thereby enhancing NSCLC radiosensitivity.
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Affiliation(s)
- Qian Li
- School of Environmental Science and Optoelectronic Technology, University of Science and Technology of China, Hefei, Anhui, 230026, PR China
| | - Kexin Qin
- Information Materials and Intelligent Sensing Laboratory of Anhui Province, Institutes of Physical Science and Information Technology, Anhui University, Hefei, Anhui, 230601, PR China
| | - Yushan Tian
- China National Tobacco Quality Supervision and Test Center, Zhengzhou, Henan, 450001, PR China
| | - Biao Chen
- Information Materials and Intelligent Sensing Laboratory of Anhui Province, Institutes of Physical Science and Information Technology, Anhui University, Hefei, Anhui, 230601, PR China
| | - Guoping Zhao
- School of Environmental Science and Optoelectronic Technology, University of Science and Technology of China, Hefei, Anhui, 230026, PR China
| | - Shengmin Xu
- Information Materials and Intelligent Sensing Laboratory of Anhui Province, Institutes of Physical Science and Information Technology, Anhui University, Hefei, Anhui, 230601, PR China.
| | - Lijun Wu
- School of Environmental Science and Optoelectronic Technology, University of Science and Technology of China, Hefei, Anhui, 230026, PR China.
- Information Materials and Intelligent Sensing Laboratory of Anhui Province, Institutes of Physical Science and Information Technology, Anhui University, Hefei, Anhui, 230601, PR China.
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94
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Zeng Y, Jain R, Lam M, Ahmed M, Guo H, Xu W, Zhong Y, Wei GH, Xu W, He HH. DNA methylation modulated genetic variant effect on gene transcriptional regulation. Genome Biol 2023; 24:285. [PMID: 38066556 PMCID: PMC10709945 DOI: 10.1186/s13059-023-03130-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 11/28/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND Expression quantitative trait locus (eQTL) analysis has emerged as an important tool in elucidating the link between genetic variants and gene expression, thereby bridging the gap between risk SNPs and associated diseases. We recently identified and validated a specific case where the methylation of a CpG site influences the relationship between the genetic variant and gene expression. RESULTS Here, to systematically evaluate this regulatory mechanism, we develop an extended eQTL mapping method, termed DNA methylation modulated eQTL (memo-eQTL). Applying this memo-eQTL mapping method to 128 normal prostate samples enables identification of 1063 memo-eQTLs, the majority of which are not recognized as conventional eQTLs in the same cohort. We observe that the methylation of the memo-eQTL CpG sites can either enhance or insulate the interaction between SNP and gene expression by altering CTCF-based chromatin 3D structure. CONCLUSIONS This study demonstrates the prevalence of memo-eQTLs paving the way to identify novel causal genes for traits or diseases associated with genetic variations.
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Affiliation(s)
- Yong Zeng
- Princess Margaret Cancer Centre, University Health Network, Toronto, Canada.
| | - Rahi Jain
- Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| | - Magnus Lam
- Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Canada
| | - Musaddeque Ahmed
- Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| | - Haiyang Guo
- Department of Clinical Laboratory, the Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250033, Shandong, China
| | - Wenjie Xu
- MOE Key Laboratory of Metabolism and Molecular Medicine and Department of Biochemistry and Molecular Biology of School of Basic Medical Sciences, Fudan University Shanghai Cancer Center, Shanghai Medical College of Fudan University, Shanghai, China
| | - Yuan Zhong
- Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| | - Gong-Hong Wei
- MOE Key Laboratory of Metabolism and Molecular Medicine and Department of Biochemistry and Molecular Biology of School of Basic Medical Sciences, Fudan University Shanghai Cancer Center, Shanghai Medical College of Fudan University, Shanghai, China
- Biocenter Oulu & Faculty of Biochemistry and Molecular Medicine, University of Oulu, Oulu, Finland
| | - Wei Xu
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
| | - Housheng Hansen He
- Princess Margaret Cancer Centre, University Health Network, Toronto, Canada.
- Department of Medical Biophysics, University of Toronto, Toronto, Canada.
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95
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Zu S, Li YE, Wang K, Armand EJ, Mamde S, Amaral ML, Wang Y, Chu A, Xie Y, Miller M, Xu J, Wang Z, Zhang K, Jia B, Hou X, Lin L, Yang Q, Lee S, Li B, Kuan S, Liu H, Zhou J, Pinto-Duarte A, Lucero J, Osteen J, Nunn M, Smith KA, Tasic B, Yao Z, Zeng H, Wang Z, Shang J, Behrens MM, Ecker JR, Wang A, Preissl S, Ren B. Single-cell analysis of chromatin accessibility in the adult mouse brain. Nature 2023; 624:378-389. [PMID: 38092917 PMCID: PMC10719105 DOI: 10.1038/s41586-023-06824-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 11/01/2023] [Indexed: 12/17/2023]
Abstract
Recent advances in single-cell technologies have led to the discovery of thousands of brain cell types; however, our understanding of the gene regulatory programs in these cell types is far from complete1-4. Here we report a comprehensive atlas of candidate cis-regulatory DNA elements (cCREs) in the adult mouse brain, generated by analysing chromatin accessibility in 2.3 million individual brain cells from 117 anatomical dissections. The atlas includes approximately 1 million cCREs and their chromatin accessibility across 1,482 distinct brain cell populations, adding over 446,000 cCREs to the most recent such annotation in the mouse genome. The mouse brain cCREs are moderately conserved in the human brain. The mouse-specific cCREs-specifically, those identified from a subset of cortical excitatory neurons-are strongly enriched for transposable elements, suggesting a potential role for transposable elements in the emergence of new regulatory programs and neuronal diversity. Finally, we infer the gene regulatory networks in over 260 subclasses of mouse brain cells and develop deep-learning models to predict the activities of gene regulatory elements in different brain cell types from the DNA sequence alone. Our results provide a resource for the analysis of cell-type-specific gene regulation programs in both mouse and human brains.
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Affiliation(s)
- Songpeng Zu
- Department of Cellular and Molecular Medicine, University of California San Diego, School of Medicine, La Jolla, CA, USA
| | - Yang Eric Li
- Department of Cellular and Molecular Medicine, University of California San Diego, School of Medicine, La Jolla, CA, USA
- Department of Neurosurgery and Genetics, Washington University School of Medicine, St Louis, MO, USA
| | - Kangli Wang
- Department of Cellular and Molecular Medicine, University of California San Diego, School of Medicine, La Jolla, CA, USA
| | - Ethan J Armand
- Department of Cellular and Molecular Medicine, University of California San Diego, School of Medicine, La Jolla, CA, USA
| | - Sainath Mamde
- Department of Cellular and Molecular Medicine, University of California San Diego, School of Medicine, La Jolla, CA, USA
| | - Maria Luisa Amaral
- Department of Cellular and Molecular Medicine, University of California San Diego, School of Medicine, La Jolla, CA, USA
| | - Yuelai Wang
- Department of Cellular and Molecular Medicine, University of California San Diego, School of Medicine, La Jolla, CA, USA
| | - Andre Chu
- Department of Cellular and Molecular Medicine, University of California San Diego, School of Medicine, La Jolla, CA, USA
| | - Yang Xie
- Department of Cellular and Molecular Medicine, University of California San Diego, School of Medicine, La Jolla, CA, USA
| | - Michael Miller
- Center for Epigenomics, University of California San Diego, School of Medicine, La Jolla, CA, USA
| | - Jie Xu
- Department of Cellular and Molecular Medicine, University of California San Diego, School of Medicine, La Jolla, CA, USA
| | - Zhaoning Wang
- Department of Cellular and Molecular Medicine, University of California San Diego, School of Medicine, La Jolla, CA, USA
| | - Kai Zhang
- Department of Cellular and Molecular Medicine, University of California San Diego, School of Medicine, La Jolla, CA, USA
| | - Bojing Jia
- Department of Cellular and Molecular Medicine, University of California San Diego, School of Medicine, La Jolla, CA, USA
| | - Xiaomeng Hou
- Center for Epigenomics, University of California San Diego, School of Medicine, La Jolla, CA, USA
| | - Lin Lin
- Center for Epigenomics, University of California San Diego, School of Medicine, La Jolla, CA, USA
| | - Qian Yang
- Center for Epigenomics, University of California San Diego, School of Medicine, La Jolla, CA, USA
| | - Seoyeon Lee
- Department of Cellular and Molecular Medicine, University of California San Diego, School of Medicine, La Jolla, CA, USA
| | - Bin Li
- Department of Cellular and Molecular Medicine, University of California San Diego, School of Medicine, La Jolla, CA, USA
| | - Samantha Kuan
- Department of Cellular and Molecular Medicine, University of California San Diego, School of Medicine, La Jolla, CA, USA
| | - Hanqing Liu
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Jingtian Zhou
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | | | - Jacinta Lucero
- The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Julia Osteen
- The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Michael Nunn
- Howard Hughes Medical Institute, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | | | | | - Zizhen Yao
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Hongkui Zeng
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Zihan Wang
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
| | - Jingbo Shang
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
| | | | - Joseph R Ecker
- Howard Hughes Medical Institute, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Allen Wang
- Center for Epigenomics, University of California San Diego, School of Medicine, La Jolla, CA, USA
| | - Sebastian Preissl
- Center for Epigenomics, University of California San Diego, School of Medicine, La Jolla, CA, USA
- Institute of Experimental and Clinical Pharmacology and Toxicology, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Bing Ren
- Department of Cellular and Molecular Medicine, University of California San Diego, School of Medicine, La Jolla, CA, USA.
- Center for Epigenomics, University of California San Diego, School of Medicine, La Jolla, CA, USA.
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96
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Llorente A, Blasco MT, Espuny I, Guiu M, Ballaré C, Blanco E, Caballé A, Bellmunt A, Salvador F, Morales A, Nuñez M, Loren G, Imbastari F, Fidalgo M, Figueras-Puig C, Gibler P, Graupera M, Monteiro F, Riera A, Holen I, Avgustinova A, Di Croce L, Gomis RR. MAF amplification licenses ERα through epigenetic remodelling to drive breast cancer metastasis. Nat Cell Biol 2023; 25:1833-1847. [PMID: 37945904 PMCID: PMC10709142 DOI: 10.1038/s41556-023-01281-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Accepted: 10/09/2023] [Indexed: 11/12/2023]
Abstract
MAF amplification increases the risk of breast cancer (BCa) metastasis through mechanisms that are still poorly understood yet have important clinical implications. Oestrogen-receptor-positive (ER+) BCa requires oestrogen for both growth and metastasis, albeit by ill-known mechanisms. Here we integrate proteomics, transcriptomics, epigenomics, chromatin accessibility and functional assays from human and syngeneic mouse BCa models to show that MAF directly interacts with oestrogen receptor alpha (ERα), thereby promoting a unique chromatin landscape that favours metastatic spread. We identify metastasis-promoting genes that are de novo licensed following oestrogen exposure in a MAF-dependent manner. The histone demethylase KDM1A is key to the epigenomic remodelling that facilitates the expression of the pro-metastatic MAF/oestrogen-driven gene expression program, and loss of KDM1A activity prevents this metastasis. We have thus determined that the molecular basis underlying MAF/oestrogen-mediated metastasis requires genetic, epigenetic and hormone signals from the systemic environment, which influence the ability of BCa cells to metastasize.
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Affiliation(s)
- Alicia Llorente
- Cancer Science Program, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
| | - María Teresa Blasco
- Cancer Science Program, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain.
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain.
| | - Irene Espuny
- Cancer Science Program, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Marc Guiu
- Cancer Science Program, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Cecilia Ballaré
- Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
| | - Enrique Blanco
- Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
| | - Adrià Caballé
- Biostatistics and Bioinformatics Unit, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Anna Bellmunt
- Cancer Science Program, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Fernando Salvador
- Cancer Science Program, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Andrea Morales
- Cancer Science Program, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Marc Nuñez
- Cancer Science Program, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Guillem Loren
- Cancer Science Program, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Francesca Imbastari
- Cancer Science Program, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Marta Fidalgo
- Cancer Science Program, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain
- Endothelial Pathobiology and Microenvironment Group, Josep Carreras Leukaemia Research Institute (IJC), Badalona, Barcelona, Spain
| | - Cristina Figueras-Puig
- Cancer Science Program, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Patrizia Gibler
- Cancer Science Program, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Mariona Graupera
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
- Endothelial Pathobiology and Microenvironment Group, Josep Carreras Leukaemia Research Institute (IJC), Badalona, Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
| | - Freddy Monteiro
- Functional Genomics Core Facility, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Antoni Riera
- Cancer Science Program, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain
- Universitat de Barcelona, Barcelona, Spain
| | - Ingunn Holen
- Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
| | | | - Luciano Di Croce
- Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Roger R Gomis
- Cancer Science Program, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain.
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain.
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain.
- Universitat de Barcelona, Barcelona, Spain.
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97
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Hamilton NH, Furey TS. ROCCO: a robust method for detection of open chromatin via convex optimization. Bioinformatics 2023; 39:btad725. [PMID: 38019944 PMCID: PMC10715771 DOI: 10.1093/bioinformatics/btad725] [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: 05/31/2023] [Revised: 11/10/2023] [Accepted: 11/28/2023] [Indexed: 12/01/2023] Open
Abstract
MOTIVATION Analysis of open chromatin regions across multiple samples from two or more distinct conditions can determine altered gene regulatory patterns associated with biological phenotypes and complex traits. The ATAC-seq assay allows for tractable genome-wide open chromatin profiling of large numbers of samples. Stable, broadly applicable genomic annotations of open chromatin regions are not available. Thus, most studies first identify open regions using peak calling methods for each sample independently. These are then heuristically combined to obtain a consensus peak set. Reconciling sample-specific peak results post hoc from larger cohorts is particularly challenging, and informative spatial features specific to open chromatin signals are not leveraged effectively. RESULTS We propose a novel method, ROCCO, that determines consensus open chromatin regions across multiple samples simultaneously. ROCCO employs robust summary statistics and solves a constrained optimization problem formulated to account for both enrichment and spatial dependence of open chromatin signal data. We show this formulation admits attractive theoretical and conceptual properties as well as superior empirical performance compared to current methodology. AVAILABILITY AND IMPLEMENTATION Source code, documentation, and usage demos for ROCCO are available on GitHub at: https://github.com/nolan-h-hamilton/ROCCO. ROCCO can also be installed as a stand-alone binary utility using pip/PyPI.
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Affiliation(s)
- Nolan H Hamilton
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Terrence S Furey
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
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98
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Zemke NR, Armand EJ, Wang W, Lee S, Zhou J, Li YE, Liu H, Tian W, Nery JR, Castanon RG, Bartlett A, Osteen JK, Li D, Zhuo X, Xu V, Chang L, Dong K, Indralingam HS, Rink JA, Xie Y, Miller M, Krienen FM, Zhang Q, Taskin N, Ting J, Feng G, McCarroll SA, Callaway EM, Wang T, Lein ES, Behrens MM, Ecker JR, Ren B. Conserved and divergent gene regulatory programs of the mammalian neocortex. Nature 2023; 624:390-402. [PMID: 38092918 PMCID: PMC10719095 DOI: 10.1038/s41586-023-06819-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Accepted: 11/01/2023] [Indexed: 12/17/2023]
Abstract
Divergence of cis-regulatory elements drives species-specific traits1, but how this manifests in the evolution of the neocortex at the molecular and cellular level remains unclear. Here we investigated the gene regulatory programs in the primary motor cortex of human, macaque, marmoset and mouse using single-cell multiomics assays, generating gene expression, chromatin accessibility, DNA methylome and chromosomal conformation profiles from a total of over 200,000 cells. From these data, we show evidence that divergence of transcription factor expression corresponds to species-specific epigenome landscapes. We find that conserved and divergent gene regulatory features are reflected in the evolution of the three-dimensional genome. Transposable elements contribute to nearly 80% of the human-specific candidate cis-regulatory elements in cortical cells. Through machine learning, we develop sequence-based predictors of candidate cis-regulatory elements in different species and demonstrate that the genomic regulatory syntax is highly preserved from rodents to primates. Finally, we show that epigenetic conservation combined with sequence similarity helps to uncover functional cis-regulatory elements and enhances our ability to interpret genetic variants contributing to neurological disease and traits.
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Affiliation(s)
- Nathan R Zemke
- Department of Cellular and Molecular Medicine, University of California, San Diego School of Medicine, La Jolla, CA, USA
- Center for Epigenomics, University of California, San Diego School of Medicine, La Jolla, CA, USA
| | - Ethan J Armand
- Department of Cellular and Molecular Medicine, University of California, San Diego School of Medicine, La Jolla, CA, USA
- Bioinformatics and Systems Biology Program, University of California, San Diego, La Jolla, CA, USA
| | - Wenliang Wang
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Seoyeon Lee
- Department of Cellular and Molecular Medicine, University of California, San Diego School of Medicine, La Jolla, CA, USA
| | - Jingtian Zhou
- Bioinformatics and Systems Biology Program, University of California, San Diego, La Jolla, CA, USA
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Yang Eric Li
- Department of Cellular and Molecular Medicine, University of California, San Diego School of Medicine, La Jolla, CA, USA
| | - Hanqing Liu
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
- Division of Biological Sciences, University of California, San Diego, La Jolla, CA, USA
| | - Wei Tian
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Joseph R Nery
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Rosa G Castanon
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Anna Bartlett
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Julia K Osteen
- Computational Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Daofeng Li
- Department of Genetics, The Edison Family Center for Genome Sciences & Systems Biology, Washington University School of Medicine, St Louis, MO, USA
| | - Xiaoyu Zhuo
- Department of Genetics, The Edison Family Center for Genome Sciences & Systems Biology, Washington University School of Medicine, St Louis, MO, USA
| | - Vincent Xu
- Department of Genetics, The Edison Family Center for Genome Sciences & Systems Biology, Washington University School of Medicine, St Louis, MO, USA
| | - Lei Chang
- Department of Cellular and Molecular Medicine, University of California, San Diego School of Medicine, La Jolla, CA, USA
| | - Keyi Dong
- Department of Cellular and Molecular Medicine, University of California, San Diego School of Medicine, La Jolla, CA, USA
- Center for Epigenomics, University of California, San Diego School of Medicine, La Jolla, CA, USA
| | - Hannah S Indralingam
- Department of Cellular and Molecular Medicine, University of California, San Diego School of Medicine, La Jolla, CA, USA
- Center for Epigenomics, University of California, San Diego School of Medicine, La Jolla, CA, USA
| | - Jonathan A Rink
- Computational Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Yang Xie
- Department of Cellular and Molecular Medicine, University of California, San Diego School of Medicine, La Jolla, CA, USA
| | - Michael Miller
- Department of Cellular and Molecular Medicine, University of California, San Diego School of Medicine, La Jolla, CA, USA
- Center for Epigenomics, University of California, San Diego School of Medicine, La Jolla, CA, USA
| | - Fenna M Krienen
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA
- Department of Genetics, Harvard Medical School, Boston, USA
| | - Qiangge Zhang
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Naz Taskin
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Guoping Feng
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Steven A McCarroll
- Department of Genetics, Harvard Medical School, Boston, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Edward M Callaway
- Systems Neurobiology Laboratories, The Salk Institute for Biological Studies, La Jolla, CA, USA
- Department of Neurosciences, University of California San Diego, La Jolla, CA, USA
| | - Ting Wang
- Department of Genetics, The Edison Family Center for Genome Sciences & Systems Biology, Washington University School of Medicine, St Louis, MO, USA
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Ed S Lein
- Allen Institute for Brain Science, Seattle, WA, USA
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA
| | - M Margarita Behrens
- Computational Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Joseph R Ecker
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA.
- Howard Hughes Medical Institute, The Salk Institute for Biological Studies, La Jolla, CA, USA.
| | - Bing Ren
- Department of Cellular and Molecular Medicine, University of California, San Diego School of Medicine, La Jolla, CA, USA.
- Center for Epigenomics, University of California, San Diego School of Medicine, La Jolla, CA, USA.
- Institute of Genomic Medicine, Moores Cancer Center, School of Medicine, University of California San Diego, La Jolla, CA, USA.
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99
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Elkoshi N, Parikh S, Malcov-Brog H, Parikh R, Manich P, Netti F, Maliah A, Elkoshi H, Haj M, Rippin I, Frand J, Perluk T, Haiat-Factor R, Golan T, Regev-Rudzki N, Kiper E, Brenner R, Gonen P, Dror I, Levi H, Hameiri O, Cohen-Gulkar M, Eldar-Finkelman H, Ast G, Nizri E, Ziv Y, Elkon R, Khaled M, Ebenstein Y, Shiloh Y, Levy C. Ataxia Telangiectasia Mutated Signaling Delays Skin Pigmentation upon UV Exposure by Mediating MITF Function toward DNA Repair Mode. J Invest Dermatol 2023; 143:2494-2506.e4. [PMID: 37236596 DOI: 10.1016/j.jid.2023.03.1686] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 02/24/2023] [Accepted: 03/02/2023] [Indexed: 05/28/2023]
Abstract
Skin pigmentation is paused after sun exposure; however, the mechanism behind this pausing is unknown. In this study, we found that the UVB-induced DNA repair system, led by the ataxia telangiectasia mutated (ATM) protein kinase, represses MITF transcriptional activity of pigmentation genes while placing MITF in DNA repair mode, thus directly inhibiting pigment production. Phosphoproteomics analysis revealed ATM to be the most significantly enriched pathway among all UVB-induced DNA repair systems. ATM inhibition in mouse or human skin, either genetically or chemically, induces pigmentation. Upon UVB exposure, MITF transcriptional activation is blocked owing to ATM-dependent phosphorylation of MITF on S414, which modifies MITF activity and interactome toward DNA repair, including binding to TRIM28 and RBBP4. Accordingly, MITF genome occupancy is enriched in sites of high DNA damage that are likely repaired. This suggests that ATM harnesses the pigmentation key activator for the necessary rapid, efficient DNA repair, thus optimizing the chances of the cell surviving. Data are available from ProteomeXchange with the identifier PXD041121.
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Affiliation(s)
- Nadav Elkoshi
- Department of Human Molecular Genetics and Biochemistry, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Shivang Parikh
- Department of Human Molecular Genetics and Biochemistry, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Hagar Malcov-Brog
- Department of Human Molecular Genetics and Biochemistry, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Roma Parikh
- Department of Human Molecular Genetics and Biochemistry, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Paulee Manich
- Department of Human Molecular Genetics and Biochemistry, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Francesca Netti
- Department of Human Molecular Genetics and Biochemistry, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Avishai Maliah
- Department of Human Molecular Genetics and Biochemistry, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Hana Elkoshi
- Department of Human Molecular Genetics and Biochemistry, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Majd Haj
- Department of Human Molecular Genetics and Biochemistry, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Ido Rippin
- Department of Human Molecular Genetics and Biochemistry, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Jacob Frand
- Department of Plastic and Reconstructive Surgery, Edith Wolfson Medical Center, Holon, Israel
| | - Tomer Perluk
- Department of Plastic and Reconstructive Surgery, Edith Wolfson Medical Center, Holon, Israel
| | - Rivi Haiat-Factor
- Department of Plastic and Reconstructive Surgery, Edith Wolfson Medical Center, Holon, Israel
| | - Tamar Golan
- Department of Human Molecular Genetics and Biochemistry, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Neta Regev-Rudzki
- Department of Biomolecular Sciences, Faculty of Biochemistry, Weizmann Institute of Science, Rehovot, Israel
| | - Edo Kiper
- Department of Biomolecular Sciences, Faculty of Biochemistry, Weizmann Institute of Science, Rehovot, Israel
| | - Ronen Brenner
- Institute of Oncology, Edith Wolfson Medical Center, Holon, Israel
| | - Pinchas Gonen
- Department of Human Molecular Genetics and Biochemistry, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Iris Dror
- Department of Biological Chemistry, University of California Loss Angeles School of Medicine, Los Angeles, California, USA
| | - Hagai Levi
- The Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv, Israel
| | - Ofir Hameiri
- Department of Human Molecular Genetics and Biochemistry, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Mazal Cohen-Gulkar
- Department of Human Molecular Genetics and Biochemistry, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Hagit Eldar-Finkelman
- Department of Human Molecular Genetics and Biochemistry, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Gil Ast
- Department of Human Molecular Genetics and Biochemistry, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Eran Nizri
- Department of Dermatology, Tel Aviv Sourasky Medical Center Ichilov, Tel Aviv, Israel; Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Yael Ziv
- Department of Human Molecular Genetics and Biochemistry, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Rani Elkon
- Department of Human Molecular Genetics and Biochemistry, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Mehdi Khaled
- INSERM 1186, Gustave Roussy, Université Paris-Saclay, Villejuif, France
| | - Yuval Ebenstein
- School of Chemistry, Center for Nanoscience and Nanotechnology, Center for Light-Matter Interaction, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Yosef Shiloh
- Department of Human Molecular Genetics and Biochemistry, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Carmit Levy
- Department of Human Molecular Genetics and Biochemistry, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
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100
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Dahl H, Ballangby J, Tengs T, Wojewodzic MW, Eide DM, Brede DA, Graupner A, Duale N, Olsen AK. Dose rate dependent reduction in chromatin accessibility at transcriptional start sites long time after exposure to gamma radiation. Epigenetics 2023; 18:2193936. [PMID: 36972203 PMCID: PMC10054331 DOI: 10.1080/15592294.2023.2193936] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 03/08/2023] [Indexed: 03/29/2023] Open
Abstract
Ionizing radiation (IR) impact cellular and molecular processes that require chromatin remodelling relevant for cellular integrity. However, the cellular implications of ionizing radiation (IR) delivered per time unit (dose rate) are still debated. This study investigates whether the dose rate is relevant for inflicting changes to the epigenome, represented by chromatin accessibility, or whether it is the total dose that is decisive. CBA/CaOlaHsd mice were whole-body exposed to either chronic low dose rate (2.5 mGy/h for 54 d) or the higher dose rates (10 mGy/h for 14 d and 100 mGy/h for 30 h) of gamma radiation (60Co, total dose: 3 Gy). Chromatin accessibility was analysed in liver tissue samples using Assay for Transposase-Accessible Chromatin with high-throughput sequencing (ATAC-Seq), both one day after and over three months post-radiation (>100 d). The results show that the dose rate contributes to radiation-induced epigenomic changes in the liver at both sampling timepoints. Interestingly, chronic low dose rate exposure to a high total dose (3 Gy) did not inflict long-term changes to the epigenome. In contrast to the acute high dose rate given to the same total dose, reduced accessibility at transcriptional start sites (TSS) was identified in genes relevant for the DNA damage response and transcriptional activity. Our findings link dose rate to essential biological mechanisms that could be relevant for understanding long-term changes after ionizing radiation exposure. However, future studies are needed to comprehend the biological consequence of these findings.
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Affiliation(s)
- Hildegunn Dahl
- Division of Climate and Environmental Health, Department of Chemical Toxicology, Norwegian Institute of Public Health, Oslo, Norway
- Centre for Environmental Radiation (CERAD), Norwegian University of Life Sciences (NMBU), Ås, Norway
| | - Jarle Ballangby
- Division of Climate and Environmental Health, Department of Chemical Toxicology, Norwegian Institute of Public Health, Oslo, Norway
- Centre for Environmental Radiation (CERAD), Norwegian University of Life Sciences (NMBU), Ås, Norway
| | - Torstein Tengs
- Division of Climate and Environmental Health, Department of Chemical Toxicology, Norwegian Institute of Public Health, Oslo, Norway
- Centre for Environmental Radiation (CERAD), Norwegian University of Life Sciences (NMBU), Ås, Norway
- Division for Aquaculture, Department of breeding and genetics, Nofima, Ås, Norway
| | - Marcin W. Wojewodzic
- Division of Climate and Environmental Health, Department of Chemical Toxicology, Norwegian Institute of Public Health, Oslo, Norway
- Centre for Environmental Radiation (CERAD), Norwegian University of Life Sciences (NMBU), Ås, Norway
- Department of Research, Section Molecular Epidemiology and Infections, Cancer Registry of Norway, Oslo, Norway
| | - Dag M. Eide
- Division of Climate and Environmental Health, Department of Chemical Toxicology, Norwegian Institute of Public Health, Oslo, Norway
- Centre for Environmental Radiation (CERAD), Norwegian University of Life Sciences (NMBU), Ås, Norway
| | - Dag Anders Brede
- Centre for Environmental Radiation (CERAD), Norwegian University of Life Sciences (NMBU), Ås, Norway
- Faculty of Environmental Sciences and Natural Resource Management (MINA), Norwegian University of Life Sciences (NMBU), Ås, Norway
| | - Anne Graupner
- Division of Climate and Environmental Health, Department of Chemical Toxicology, Norwegian Institute of Public Health, Oslo, Norway
- Centre for Environmental Radiation (CERAD), Norwegian University of Life Sciences (NMBU), Ås, Norway
| | - Nur Duale
- Division of Climate and Environmental Health, Department of Chemical Toxicology, Norwegian Institute of Public Health, Oslo, Norway
- Centre for Environmental Radiation (CERAD), Norwegian University of Life Sciences (NMBU), Ås, Norway
| | - Ann-Karin Olsen
- Division of Climate and Environmental Health, Department of Chemical Toxicology, Norwegian Institute of Public Health, Oslo, Norway
- Centre for Environmental Radiation (CERAD), Norwegian University of Life Sciences (NMBU), Ås, Norway
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