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Zhang H, Lanz RB, Dhillon J, Soloway PD, Shui B, Ren YA. CCAAT/Enhancer-Binding Proteins α and β Regulate Ovulation and Gene Expression via Dose- and Stage-Dependent Mechanisms. Endocrinology 2025; 166:bqaf081. [PMID: 40294160 DOI: 10.1210/endocr/bqaf081] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2024] [Revised: 04/04/2025] [Accepted: 04/26/2025] [Indexed: 04/30/2025]
Abstract
The preovulatory luteinizing hormone (LH) surge orchestrates complex cellular and molecular events leading to ovulation. CCAAT/enhancer-binding proteins α and β (C/EBPα/β) are transcription factors acutely induced by the LH surge and crucial for ovulation and granulosa cell luteinization. However, biological processes (BPs) and their regulatory mechanisms downstream of C/EBPα/β in the preovulatory ovary are not completely understood. To address this knowledge gap, we generated Cebpa/bfl/fl;Pgr-Cre mutants and compared them with Cebpa/bfl/fl;Cyp19a1-Cre mutant female mice: Cebpa/bfl/fl;Cyp19a1-Cre mutants have undetectable levels of C/EBPα/β throughout the preovulatory stages and do not ovulate, aligning with previous reports; and Cebpa/bfl/fl;Pgr-Cre mutants present gradual depletion of C/EBPα/β during the late preovulatory stage and a reduced ovulation rate. Comparison of these two models indicates that sustained expression of C/EBPα/β throughout the preovulatory stages is necessary for successful ovulation and provides a unique opportunity to interrogate gene regulatory mechanisms by C/EBPα/β during different preovulatory time windows and the effect of dysregulating C/EBPα/β on ovulation-associated BPs. Our study revealed that C/EBPα/β regulate gene expression and distinct biological functions such as vascular remodeling via dose- and preovulatory stage-dependent mechanisms. These findings shed new light on the intricate mechanisms of gene regulation by C/EBPα/β downstream of the LH surge.
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Affiliation(s)
- Hanxue Zhang
- Department of Animal Science, College of Agriculture and Life Sciences, Cornell University, Ithaca, NY 14853, USA
| | - Rainer B Lanz
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, USA
| | - Jimmy Dhillon
- Department of Biomedical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, USA
| | - Paul D Soloway
- Department of Biomedical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, USA
- Division of Nutritional Sciences, College of Agriculture and Life Sciences, Cornell University, Ithaca, NY 14853, USA
| | - Bo Shui
- Department of Biomedical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, USA
| | - Yi Athena Ren
- Department of Animal Science, College of Agriculture and Life Sciences, Cornell University, Ithaca, NY 14853, USA
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2
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Schonfeld M, Nataraj K, Mah S, Weinman S, Tikhanovich I. Continuous Activation of C/EBPβ Transcription Factor Prevents Fibrosis Resolution After Alcohol Cessation. Cell Mol Gastroenterol Hepatol 2025:101525. [PMID: 40288442 DOI: 10.1016/j.jcmgh.2025.101525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2025] [Revised: 04/18/2025] [Accepted: 04/18/2025] [Indexed: 04/29/2025]
Abstract
BACKGROUND & AIMS Abstinence is an important therapeutic intervention for patients with alcohol-associated liver disease (ALD). However, fibrosis improvement after cessation is not uniform and some patients do not improve. METHODS Mice were fed high-fat diet with 20% alcohol in the drinking water for 20 weeks (ALD) followed by 4 weeks of chow diet with plain water (resolution). scATAC-seq dataset was analyzed using Signac R package. Cebpb floxed mice received AAV-TBG-Cre or AAV-control at the time of alcohol cessation. Hepatocyte-macrophage and endothelial cell-hepatocytes crosstalk was investigated using a Transwell coculture system. To test the role of angiopoietin mice were treated with recombinant angiopoietin-1, 1 week after alcohol cessation. RESULTS We analyzed differentially accessible regions in hepatocytes from control, ALD, or 4 weeks post alcohol cessation mice and identified transcription factors activated in ALD that remained activated after alcohol withdrawal. The top hit was CCAAT enhancer binding protein beta (C/EBPβ). We found that hepatocyte-specific Cebpb knockout at the time of alcohol cessation promoted fibrosis resolution. The resolution was mediated by altered hepatocyte-macrophage crosstalk. C/EBPβ suppressed the expression of CYP3A family of enzymes in hepatocytes and downstream macrophage collagen degradation ability. Cebpb knockout in hepatocytes promoted a proresolving phenotype in liver macrophages. We further identified upstream events leading to persistent C/EBPβ activation. C/EBPβ was induced by alcohol-mediated endothelial changes during ALD development and resolution. Restoring endothelial cell function with angiopoietin-1 supplementation reduced C/EBPβ and promoted fibrosis resolution. CONCLUSIONS Taken together, alcohol-induced C/EBPβ activation is a key driver of poor disease resolution in ALD and a promising target for patients who fail to recover after alcohol abstinence.
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Affiliation(s)
- Michael Schonfeld
- Department of Internal Medicine, Kansas City VA Medical Center, Kansas City, Missouri
| | - Kruti Nataraj
- Department of Internal Medicine, Kansas City VA Medical Center, Kansas City, Missouri
| | - Samson Mah
- Department of Internal Medicine, Kansas City VA Medical Center, Kansas City, Missouri
| | - Steven Weinman
- Department of Internal Medicine, Kansas City VA Medical Center, Kansas City, Missouri; Kansas City VA Medical Center, Kansas City, Missouri
| | - Irina Tikhanovich
- Department of Internal Medicine, Kansas City VA Medical Center, Kansas City, Missouri.
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3
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Pita-Juarez Y, Karagkouni D, Kalavros N, Melms JC, Niezen S, Delorey TM, Essene AL, Brook OR, Pant D, Skelton-Badlani D, Naderi P, Huang P, Pan L, Hether T, Andrews TS, Ziegler CGK, Reeves J, Myloserdnyy A, Chen R, Nam A, Phelan S, Liang Y, Gregory M, He S, Patrick M, Rane T, Wardhani A, Amin AD, Biermann J, Hibshoosh H, Veregge M, Kramer Z, Jacobs C, Yalcin Y, Phillips D, Slyper M, Subramanian A, Ashenberg O, Bloom-Ackermann Z, Tran VM, Gomez J, Sturm A, Zhang S, Fleming SJ, Warren S, Beechem J, Hung D, Babadi M, Padera RF, MacParland SA, Bader GD, Imad N, Solomon IH, Miller E, Riedel S, Porter CBM, Villani AC, Tsai LTY, Hide W, Szabo G, Hecht J, Rozenblatt-Rosen O, Shalek AK, Izar B, Regev A, Popov YV, Jiang ZG, Vlachos IS. A single-nucleus and spatial transcriptomic atlas of the COVID-19 liver reveals topological, functional, and regenerative organ disruption in patients. Genome Biol 2025; 26:56. [PMID: 40087773 PMCID: PMC11907808 DOI: 10.1186/s13059-025-03499-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 02/07/2025] [Indexed: 03/17/2025] Open
Abstract
BACKGROUND The molecular underpinnings of organ dysfunction in severe COVID-19 and its potential long-term sequelae are under intense investigation. To shed light on these in the context of liver function, we perform single-nucleus RNA-seq and spatial transcriptomic profiling of livers from 17 COVID-19 decedents. RESULTS We identify hepatocytes positive for SARS-CoV-2 RNA with an expression phenotype resembling infected lung epithelial cells, and a central role in a pro-fibrotic TGFβ signaling cell-cell communications network. Integrated analysis and comparisons with healthy controls reveal extensive changes in the cellular composition and expression states in COVID-19 liver, providing the underpinning of hepatocellular injury, ductular reaction, pathologic vascular expansion, and fibrogenesis characteristic of COVID-19 cholangiopathy. We also observe Kupffer cell proliferation and erythrocyte progenitors for the first time in a human liver single-cell atlas. Despite the absence of a clinical acute liver injury phenotype, endothelial cell composition is dramatically impacted in COVID-19, concomitantly with extensive alterations and profibrogenic activation of reactive cholangiocytes and mesenchymal cells. CONCLUSIONS Our atlas provides novel insights into liver physiology and pathology in COVID-19 and forms a foundational resource for its investigation and understanding.
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Affiliation(s)
- Yered Pita-Juarez
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Dimitra Karagkouni
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Nikolaos Kalavros
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Spatial Technologies Unit, HMS Initiative for RNA Medicine / Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Johannes C Melms
- Department of Medicine, Division of Hematology/Oncology, Columbia University Irving Medical Center, New York, NY, USA
- Columbia Center for Translational Immunology, New York, NY, USA
| | - Sebastian Niezen
- Harvard Medical School, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Division of Gastroenterology, Hepatology and Nutrition, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Toni M Delorey
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Adam L Essene
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Division of Endocrinology, Diabetes, and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Boston Nutrition and Obesity Research Center Functional Genomics and Bioinformatics Core, Boston, MA, USA
| | - Olga R Brook
- Department of Radiology, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Deepti Pant
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Division of Endocrinology, Diabetes, and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Boston Nutrition and Obesity Research Center Functional Genomics and Bioinformatics Core, Boston, MA, USA
| | - Disha Skelton-Badlani
- Harvard Medical School, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Division of Gastroenterology, Hepatology and Nutrition, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Pourya Naderi
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Pinzhu Huang
- Harvard Medical School, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Division of Gastroenterology, Hepatology and Nutrition, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Liuliu Pan
- NanoString Technologies, Inc., Seattle, WA, USA
| | | | - Tallulah S Andrews
- Ajmera Transplant Centre, Toronto General Research Institute, University Health Network, Toronto, ON, Canada
| | - Carly G K Ziegler
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Program in Health Sciences & Technology, Harvard Medical School & Massachusetts Institute of Technology, Boston, MA, USA
- Institute for Medical Engineering & Science, Massachusetts Institute of Technology, Cambridge, MA, USA
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA
- Harvard Graduate Program in Biophysics, Harvard University, Cambridge, MA, USA
- Harvard Stem Cell Institute, Cambridge, MA, USA
- Program in Computational & Systems Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
- Program in Immunology, Harvard Medical School, Boston, MA, USA
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA
| | | | - Andriy Myloserdnyy
- Harvard Medical School, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Division of Gastroenterology, Hepatology and Nutrition, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Rachel Chen
- Harvard Medical School, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Division of Gastroenterology, Hepatology and Nutrition, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Andy Nam
- NanoString Technologies, Inc., Seattle, WA, USA
| | | | - Yan Liang
- NanoString Technologies, Inc., Seattle, WA, USA
| | | | - Shanshan He
- NanoString Technologies, Inc., Seattle, WA, USA
| | | | - Tushar Rane
- NanoString Technologies, Inc., Seattle, WA, USA
| | | | - Amit Dipak Amin
- Department of Medicine, Division of Hematology/Oncology, Columbia University Irving Medical Center, New York, NY, USA
- Columbia Center for Translational Immunology, New York, NY, USA
| | - Jana Biermann
- Department of Medicine, Division of Hematology/Oncology, Columbia University Irving Medical Center, New York, NY, USA
- Columbia Center for Translational Immunology, New York, NY, USA
| | - Hanina Hibshoosh
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, USA
| | - Molly Veregge
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Division of Endocrinology, Diabetes, and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Boston Nutrition and Obesity Research Center Functional Genomics and Bioinformatics Core, Boston, MA, USA
| | - Zachary Kramer
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Division of Endocrinology, Diabetes, and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Christopher Jacobs
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Division of Endocrinology, Diabetes, and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Boston Nutrition and Obesity Research Center Functional Genomics and Bioinformatics Core, Boston, MA, USA
| | - Yusuf Yalcin
- Harvard Medical School, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Division of Gastroenterology, Hepatology and Nutrition, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Devan Phillips
- Present Address: Genentech, 1 DNA Way, South San Francisco, CA, USA
| | - Michal Slyper
- Present Address: Genentech, 1 DNA Way, South San Francisco, CA, USA
| | | | - Orr Ashenberg
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Zohar Bloom-Ackermann
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Victoria M Tran
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - James Gomez
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Alexander Sturm
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Shuting Zhang
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Stephen J Fleming
- Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Precision Cardiology Laboratory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | | | - Deborah Hung
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Department of Molecular Biology and Center for Computational and Integrative Biology, Massachusetts General Hospital, Boston, MA, USA
| | - Mehrtash Babadi
- Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Precision Cardiology Laboratory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Robert F Padera
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA
| | - Sonya A MacParland
- Program in Health Sciences & Technology, Harvard Medical School & Massachusetts Institute of Technology, Boston, MA, USA
- Department of Immunology, University of Toronto, Medical Sciences Building, 1 King's College Circle, Toronto, ON, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Gary D Bader
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
- The Donnelly Centre, Toronto, ON, Canada
| | - Nasser Imad
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Isaac H Solomon
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA
| | - Eric Miller
- NanoString Technologies, Inc., Seattle, WA, USA
| | - Stefan Riedel
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Caroline B M Porter
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Alexandra-Chloé Villani
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Immunology and Inflammatory Diseases, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Cancer Research, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Linus T-Y Tsai
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Division of Endocrinology, Diabetes, and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Boston Nutrition and Obesity Research Center Functional Genomics and Bioinformatics Core, Boston, MA, USA
| | - Winston Hide
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Gyongyi Szabo
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Division of Gastroenterology, Hepatology and Nutrition, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Jonathan Hecht
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Orit Rozenblatt-Rosen
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Present Address: Genentech, 1 DNA Way, South San Francisco, CA, USA
| | - Alex K Shalek
- Harvard Medical School, Boston, MA, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Program in Health Sciences & Technology, Harvard Medical School & Massachusetts Institute of Technology, Boston, MA, USA.
- Institute for Medical Engineering & Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA.
- Harvard Graduate Program in Biophysics, Harvard University, Cambridge, MA, USA.
- Harvard Stem Cell Institute, Cambridge, MA, USA.
- Program in Computational & Systems Biology, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Program in Immunology, Harvard Medical School, Boston, MA, USA.
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA.
| | - Benjamin Izar
- Department of Medicine, Division of Hematology/Oncology, Columbia University Irving Medical Center, New York, NY, USA.
- Columbia Center for Translational Immunology, New York, NY, USA.
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA.
- Program for Mathematical Genomics, Columbia University Irving Medical Center, New York, NY, USA.
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA.
| | - Aviv Regev
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Present Address: Genentech, 1 DNA Way, South San Francisco, CA, USA.
| | - Yury V Popov
- Harvard Medical School, Boston, MA, USA.
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
- Division of Gastroenterology, Hepatology and Nutrition, Beth Israel Deaconess Medical Center, Boston, MA, USA.
| | - Z Gordon Jiang
- Harvard Medical School, Boston, MA, USA.
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
- Division of Gastroenterology, Hepatology and Nutrition, Beth Israel Deaconess Medical Center, Boston, MA, USA.
| | - Ioannis S Vlachos
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, USA.
- Harvard Medical School, Boston, MA, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Spatial Technologies Unit, HMS Initiative for RNA Medicine / Beth Israel Deaconess Medical Center, Boston, MA, USA.
- Cancer Research Institute, Beth Israel Deaconess Medical Center, Boston, MA, USA.
- Harvard Medical School Initiative for RNA Medicine, Boston, MA, USA.
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Schonfeld M, Nataraj K, Weinman S, Tikhanovich I. C/EBPβ transcription factor promotes alcohol-induced liver fibrosis in males via HDL remodeling. Hepatol Commun 2025; 9:e0645. [PMID: 39969482 PMCID: PMC11841851 DOI: 10.1097/hc9.0000000000000645] [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: 10/25/2024] [Accepted: 12/16/2024] [Indexed: 02/20/2025] Open
Abstract
BACKGROUND Alcohol-associated liver disease (ALD) is the main cause of alcohol-associated mortality. However, the mechanism of ALD development is poorly understood. Epigenetic changes are thought to play an important role in ALD. We aimed to define the epigenetic changes induced by alcohol and predict drivers of these changes. METHODS Mice were fed high-fat diet with or without 20% of alcohol in the drinking water for 20 weeks (WDA model). scATAC-seq data set was analyzed using Signac R package. To test the role of C/EBPβ, Cebpb-floxed mice were treated with AAV8-TBG-Cre or AAV8-control. RESULTS We analyzed differentially accessible regions in livers from control and alcohol-fed mice and found that activity of C/EBPβ transcription factor was associated with alcohol-induced epigenetic changes in hepatocytes. C/EBPβ protein levels were significantly upregulated in multiple models of ALD and human ALD samples. Using hepatocyte-specific Cebpb knockout mice we found that Cebpb loss protected male mice from alcohol-induced fibrosis development. We found no protection in female mice, suggesting that this mechanism is specific to male ALD. In vitro studies suggested that the protective effect of Cebpb loss was mediated by altered hepatocyte-macrophage cross talk. Cebpb knockout in hepatocytes reduced a profibrotic and promoted a pro-resolving phenotype in macrophages, thus modulating ALD development. We further identified the mediators of the cross talk. Cebpb knockout altered the expression of several HDL protein components, increasing APOA1 and apolipoprotein M and reducing apolipoprotein E and SAA levels in male mice. HDL secreted by Cebpb knockout hepatocytes was sufficient to confer anti-inflammatory and antifibrotic changes to macrophages. CONCLUSIONS Taken together, alcohol-induced C/EBPβ activation is a key driver of ALD fibrosis in males via C/EBPβ-dependent HDL remodeling.
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Affiliation(s)
- Michael Schonfeld
- Department of Internal Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA
| | - Kruti Nataraj
- Department of Internal Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA
| | - Steven Weinman
- Department of Internal Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA
- Kansas City VA Medical Center, Kansas City, Missouri, USA
| | - Irina Tikhanovich
- Department of Internal Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA
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5
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Goldberg D, Buchshtab N, Charni-Natan M, Goldstein I. Transcriptional cascades during fasting amplify gluconeogenesis and instigate a secondary wave of ketogenic gene transcription. Liver Int 2024; 44:2964-2982. [PMID: 39162082 DOI: 10.1111/liv.16077] [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: 03/17/2024] [Revised: 08/04/2024] [Accepted: 08/09/2024] [Indexed: 08/21/2024]
Abstract
BACKGROUND AND AIMS During fasting, bodily homeostasis is maintained due to hepatic production of glucose (gluconeogenesis) and ketone bodies (ketogenesis). The main hormones governing hepatic fuel production are glucagon and glucocorticoids that initiate transcriptional programs aimed at supporting gluconeogenesis and ketogenesis. METHODS Using primary mouse hepatocytes as an ex vivo model, we employed transcriptomic analysis (RNA-seq), genome-wide profiling of enhancer dynamics (ChIP-seq), perturbation experiments (inhibitors, shRNA), hepatic glucose production measurements and computational analyses. RESULTS We found that in addition to the known metabolic genes transcriptionally induced by glucagon and glucocorticoids, these hormones induce a set of genes encoding transcription factors (TFs) thereby initiating transcriptional cascades. Upon activation by glucocorticoids, the glucocorticoid receptor (GR) induced the genes encoding two TFs: CCAAT/enhancer-binding protein beta (C/EBPβ) and peroxisome proliferator-activated receptor alpha (PPARα). We found that the GR-C/EBPβ cascade mainly serves as a secondary amplifier of primary hormone-induced gene programs. C/EBPβ augmented gluconeogenic gene expression and hepatic glucose production. Conversely, the GR-PPARα cascade initiated a secondary transcriptional wave of genes supporting ketogenesis. The cascade led to synergistic induction of ketogenic genes which is dependent on protein synthesis. Genome-wide analysis of enhancer dynamics revealed numerous enhancers activated by the GR-PPARα cascade. These enhancers were proximal to ketogenic genes, enriched for the PPARα response element and showed increased PPARα binding. CONCLUSION This study reveals abundant transcriptional cascades occurring during fasting. These cascades serve two separated purposes: the amplification of the gluconeogenic transcriptional program and the induction of a gene program aimed at enhancing ketogenesis.
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Affiliation(s)
- Dana Goldberg
- Institute of Biochemistry, Food Science and Nutrition, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot, Israel
| | - Nufar Buchshtab
- Institute of Biochemistry, Food Science and Nutrition, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot, Israel
| | - Meital Charni-Natan
- Institute of Biochemistry, Food Science and Nutrition, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot, Israel
| | - Ido Goldstein
- Institute of Biochemistry, Food Science and Nutrition, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot, Israel
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6
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Xu J, Guo P, Hao S, Shangguan S, Shi Q, Volpe G, Huang K, Zuo J, An J, Yuan Y, Cheng M, Deng Q, Zhang X, Lai G, Nan H, Wu B, Shentu X, Wu L, Wei X, Jiang Y, Huang X, Pan F, Song Y, Li R, Wang Z, Liu C, Liu S, Li Y, Yang T, Xu Z, Du W, Li L, Ahmed T, You K, Dai Z, Li L, Qin B, Li Y, Lai L, Qin D, Chen J, Fan R, Li Y, Hou J, Ott M, Sharma AD, Cantz T, Schambach A, Kristiansen K, Hutchins AP, Göttgens B, Maxwell PH, Hui L, Xu X, Liu L, Chen A, Lai Y, Esteban MA. A spatiotemporal atlas of mouse liver homeostasis and regeneration. Nat Genet 2024; 56:953-969. [PMID: 38627598 DOI: 10.1038/s41588-024-01709-7] [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: 01/08/2023] [Accepted: 03/06/2024] [Indexed: 05/09/2024]
Abstract
The mechanism by which mammalian liver cell responses are coordinated during tissue homeostasis and perturbation is poorly understood, representing a major obstacle in our understanding of many diseases. This knowledge gap is caused by the difficulty involved with studying multiple cell types in different states and locations, particularly when these are transient. We have combined Stereo-seq (spatiotemporal enhanced resolution omics-sequencing) with single-cell transcriptomic profiling of 473,290 cells to generate a high-definition spatiotemporal atlas of mouse liver homeostasis and regeneration at the whole-lobe scale. Our integrative study dissects in detail the molecular gradients controlling liver cell function, systematically defining how gene networks are dynamically modulated through intercellular communication to promote regeneration. Among other important regulators, we identified the transcriptional cofactor TBL1XR1 as a rheostat linking inflammation to Wnt/β-catenin signaling for facilitating hepatocyte proliferation. Our data and analytical pipelines lay the foundation for future high-definition tissue-scale atlases of organ physiology and malfunction.
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Affiliation(s)
- Jiangshan Xu
- BGI Research, Hangzhou, China
- BGI Research, Shenzhen, China
| | - Pengcheng Guo
- State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Key Laboratory for Zoonosis Research of the Ministry of Education, Institute of Zoonosis, and College of Veterinary Medicine, Jilin University, Changchun, China.
- 3DC STAR, Spatiotemporal Campus at BGI Shenzhen, Shenzhen, China.
| | - Shijie Hao
- BGI Research, Hangzhou, China
- BGI Research, Shenzhen, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Shuncheng Shangguan
- BGI Research, Shenzhen, China
- Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health and Guangzhou Medical University, Guangzhou, China
| | - Quan Shi
- Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Giacomo Volpe
- Hematology and Cell Therapy Unit, IRCCS-Istituto Tumori 'Giovanni Paolo II', Bari, Italy
| | - Keke Huang
- Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Jing Zuo
- BGI Research, Hangzhou, China
- BGI Research, Shenzhen, China
| | - Juan An
- School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
- Laboratory of Integrative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Yue Yuan
- BGI Research, Hangzhou, China
- BGI Research, Shenzhen, China
| | - Mengnan Cheng
- BGI Research, Hangzhou, China
- BGI Research, Shenzhen, China
| | - Qiuting Deng
- BGI Research, Hangzhou, China
- BGI Research, Shenzhen, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Xiao Zhang
- State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Key Laboratory for Zoonosis Research of the Ministry of Education, Institute of Zoonosis, and College of Veterinary Medicine, Jilin University, Changchun, China
| | - Guangyao Lai
- Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health and Guangzhou Medical University, Guangzhou, China
- Laboratory of Integrative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Haitao Nan
- State Key Laboratory of Cell Biology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, China
| | - Baihua Wu
- State Key Laboratory of Cell Biology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, China
| | - Xinyi Shentu
- State Key Laboratory of Cell Biology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, China
| | - Liang Wu
- Laboratory of Integrative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Xiaoyu Wei
- BGI Research, Hangzhou, China
- BGI Research, Shenzhen, China
| | - Yujia Jiang
- BGI Research, Hangzhou, China
- BGI Research, Shenzhen, China
| | - Xin Huang
- BGI Research, Shenzhen, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Fengyu Pan
- BGI Research, Hangzhou, China
- BGI Research, Shenzhen, China
| | - Yumo Song
- BGI Research, Hangzhou, China
- BGI Research, Shenzhen, China
| | - Ronghai Li
- BGI Research, Hangzhou, China
- BGI Research, Shenzhen, China
| | - Zhifeng Wang
- BGI Research, Hangzhou, China
- BGI Research, Shenzhen, China
| | - Chuanyu Liu
- BGI Research, Hangzhou, China
- BGI Research, Shenzhen, China
- BGI Collaborative Center for Future Medicine, Shanxi Medical University, Taiyuan, China
| | - Shiping Liu
- BGI Research, Hangzhou, China
- BGI Research, Shenzhen, China
| | | | - Tao Yang
- China National GeneBank, BGI Research, Shenzhen, China
- Guangdong Provincial Genomics Data Center, BGI Research, Shenzhen, China
| | - Zhicheng Xu
- China National GeneBank, BGI Research, Shenzhen, China
- Guangdong Provincial Genomics Data Center, BGI Research, Shenzhen, China
| | - Wensi Du
- China National GeneBank, BGI Research, Shenzhen, China
- Guangdong Provincial Genomics Data Center, BGI Research, Shenzhen, China
| | - Ling Li
- China National GeneBank, BGI Research, Shenzhen, China
- Guangdong Provincial Genomics Data Center, BGI Research, Shenzhen, China
| | - Tanveer Ahmed
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, CAS Key Laboratory of Regenerative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Kai You
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, CAS Key Laboratory of Regenerative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Zhen Dai
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, CAS Key Laboratory of Regenerative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Li Li
- Laboratory of Integrative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, CAS Key Laboratory of Regenerative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Baoming Qin
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, CAS Key Laboratory of Regenerative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Yinxiong Li
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, CAS Key Laboratory of Regenerative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Liangxue Lai
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, CAS Key Laboratory of Regenerative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Dajiang Qin
- The Fifth Affiliated Hospital of Guangzhou Medical University-BGI Research Center for Integrative Biology, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Junling Chen
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangzhou, China
| | - Rong Fan
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangzhou, China
| | - Yongyin Li
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangzhou, China
| | - Jinlin Hou
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangzhou, China
| | - Michael Ott
- Department of Gastroenterology, Hepatology and Endocrinology, Hannover Medical School, Hannover, Germany
| | - Amar Deep Sharma
- Department of Gastroenterology, Hepatology and Endocrinology, Hannover Medical School, Hannover, Germany
| | - Tobias Cantz
- Department of Gastroenterology, Hepatology and Endocrinology, Hannover Medical School, Hannover, Germany
| | - Axel Schambach
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Institute of Experimental Hematology, Hannover Medical School, Hannover, Germany
| | | | - Andrew P Hutchins
- Shenzhen Key Laboratory of Gene Regulation and Systems Biology, Department of Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
| | - Berthold Göttgens
- Department of Haematology and Wellcome MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
| | - Patrick H Maxwell
- Cambridge Institute for Medical Research, Department of Medicine, University of Cambridge, Cambridge, UK
| | - Lijian Hui
- State Key Laboratory of Cell Biology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, China
| | - Xun Xu
- BGI Research, Hangzhou, China.
- BGI Research, Shenzhen, China.
- BGI Collaborative Center for Future Medicine, Shanxi Medical University, Taiyuan, China.
- Guangdong Provincial Key Laboratory of Genome Read and Write, Shenzhen, China.
| | - Longqi Liu
- BGI Research, Hangzhou, China.
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.
- BGI Collaborative Center for Future Medicine, Shanxi Medical University, Taiyuan, China.
| | - Ao Chen
- BGI Research, Shenzhen, China.
- Department of Biology, University of Copenhagen, Copenhagen, Denmark.
- BGI Research, Chongqing, China.
- JFL-BGI STOmics Center, BGI-Shenzhen, Chongqing, China.
| | - Yiwei Lai
- BGI Research, Hangzhou, China.
- BGI Research, Shenzhen, China.
- 3DC STAR, Spatiotemporal Campus at BGI Shenzhen, Shenzhen, China.
- BGI Collaborative Center for Future Medicine, Shanxi Medical University, Taiyuan, China.
| | - Miguel A Esteban
- State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Key Laboratory for Zoonosis Research of the Ministry of Education, Institute of Zoonosis, and College of Veterinary Medicine, Jilin University, Changchun, China.
- 3DC STAR, Spatiotemporal Campus at BGI Shenzhen, Shenzhen, China.
- Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
- Laboratory of Integrative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
- The Fifth Affiliated Hospital of Guangzhou Medical University-BGI Research Center for Integrative Biology, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
- Institute of Experimental Hematology, Hannover Medical School, Hannover, Germany.
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7
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Zhang T, Ambrodji A, Huang H, Bouchonville KJ, Etheridge AS, Schmidt RE, Bembenek BM, Temesgen ZB, Wang Z, Innocenti F, Stroka D, Diasio RB, Largiadèr CR, Offer SM. Germline cis variant determines epigenetic regulation of the anti-cancer drug metabolism gene dihydropyrimidine dehydrogenase ( DPYD). eLife 2024; 13:RP94075. [PMID: 38686795 PMCID: PMC11060711 DOI: 10.7554/elife.94075] [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] [Indexed: 05/02/2024] Open
Abstract
Enhancers are critical for regulating tissue-specific gene expression, and genetic variants within enhancer regions have been suggested to contribute to various cancer-related processes, including therapeutic resistance. However, the precise mechanisms remain elusive. Using a well-defined drug-gene pair, we identified an enhancer region for dihydropyrimidine dehydrogenase (DPD, DPYD gene) expression that is relevant to the metabolism of the anti-cancer drug 5-fluorouracil (5-FU). Using reporter systems, CRISPR genome-edited cell models, and human liver specimens, we demonstrated in vitro and vivo that genotype status for the common germline variant (rs4294451; 27% global minor allele frequency) located within this novel enhancer controls DPYD transcription and alters resistance to 5-FU. The variant genotype increases recruitment of the transcription factor CEBPB to the enhancer and alters the level of direct interactions between the enhancer and DPYD promoter. Our data provide insight into the regulatory mechanisms controlling sensitivity and resistance to 5-FU.
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Affiliation(s)
- Ting Zhang
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo ClinicRochesterUnited States
| | - Alisa Ambrodji
- Department of Clinical Chemistry, Inselspital, Bern University Hospital, University of BernBernSwitzerland
- Graduate School for Cellular and Biomedical Sciences, University of BernBernSwitzerland
| | - Huixing Huang
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo ClinicRochesterUnited States
| | - Kelly J Bouchonville
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo ClinicRochesterUnited States
| | - Amy S Etheridge
- Eshelman School of Pharmacy, Division of Pharmacotherapy and Experimental Therapeutics, University of North Carolina at Chapel HillChapel HillUnited States
| | - Remington E Schmidt
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo ClinicRochesterUnited States
| | - Brianna M Bembenek
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo ClinicRochesterUnited States
| | - Zoey B Temesgen
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo ClinicRochesterUnited States
| | - Zhiquan Wang
- Division of Hematology, Department of Medicine, Mayo ClinicRochesterUnited States
| | - Federico Innocenti
- Eshelman School of Pharmacy, Division of Pharmacotherapy and Experimental Therapeutics, University of North Carolina at Chapel HillChapel HillUnited States
| | - Deborah Stroka
- Department of Visceral Surgery and Medicine, Inselspital, Bern University Hospital, University of BernBernSwitzerland
| | - Robert B Diasio
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo ClinicRochesterUnited States
| | - Carlo R Largiadèr
- Department of Clinical Chemistry, Inselspital, Bern University Hospital, University of BernBernSwitzerland
| | - Steven M Offer
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo ClinicRochesterUnited States
- Department of Pathology, University of Iowa Carver College of Medicine, University of IowaIowa CityUnited States
- Holden Comprehensive Cancer Center, University of Iowa Carver College of Medicine, University of IowaIowa CityUnited States
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8
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Zhang T, Ambrodji A, Huang H, Bouchonville KJ, Etheridge AS, Schmidt RE, Bembenek BM, Temesgen ZB, Wang Z, Innocenti F, Stroka D, Diasio RB, Largiadèr CR, Offer SM. Germline cis variant determines epigenetic regulation of the anti-cancer drug metabolism gene dihydropyrimidine dehydrogenase ( DPYD). BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.11.01.565230. [PMID: 37961517 PMCID: PMC10635067 DOI: 10.1101/2023.11.01.565230] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Enhancers are critical for regulating tissue-specific gene expression, and genetic variants within enhancer regions have been suggested to contribute to various cancer-related processes, including therapeutic resistance. However, the precise mechanisms remain elusive. Using a well-defined drug-gene pair, we identified an enhancer region for dihydropyrimidine dehydrogenase (DPD, DPYD gene) expression that is relevant to the metabolism of the anti-cancer drug 5-fluorouracil (5-FU). Using reporter systems, CRISPR genome edited cell models, and human liver specimens, we demonstrated in vitro and vivo that genotype status for the common germline variant (rs4294451; 27% global minor allele frequency) located within this novel enhancer controls DPYD transcription and alters resistance to 5-FU. The variant genotype increases recruitment of the transcription factor CEBPB to the enhancer and alters the level of direct interactions between the enhancer and DPYD promoter. Our data provide insight into the regulatory mechanisms controlling sensitivity and resistance to 5-FU.
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Affiliation(s)
- Ting Zhang
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN 55905, USA
| | - Alisa Ambrodji
- Department of Clinical Chemistry, Inselspital, Bern University Hospital, University of Bern, CH-3010 Bern, Switzerland
- Graduate School for Cellular and Biomedical Sciences, University of Bern, Freiestrasse 1, CH-3010 Bern, Switzerland
| | - Huixing Huang
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN 55905, USA
| | - Kelly J. Bouchonville
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN 55905, USA
| | - Amy S. Etheridge
- Eshelman School of Pharmacy, Division of Pharmacotherapy and Experimental Therapeutics, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Remington E. Schmidt
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN 55905, USA
| | - Brianna M. Bembenek
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN 55905, USA
| | - Zoey B. Temesgen
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN 55905, USA
| | - Zhiquan Wang
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN 55905 USA
| | - Federico Innocenti
- Eshelman School of Pharmacy, Division of Pharmacotherapy and Experimental Therapeutics, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Deborah Stroka
- Department of Visceral Surgery and Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Robert B. Diasio
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN 55905, USA
| | - Carlo R. Largiadèr
- Department of Clinical Chemistry, Inselspital, Bern University Hospital, University of Bern, CH-3010 Bern, Switzerland
| | - Steven M. Offer
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN 55905, USA
- Department of Pathology, University of Iowa Carver College of Medicine, University of Iowa, Iowa City, IA 52242, USA
- Holden Comprehensive Cancer Center, University of Iowa Carver College of Medicine, University of Iowa, Iowa City, IA 52242, USA
- Lead contact
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9
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Ellsworth PN, Herring JA, Leifer AH, Ray JD, Elison WS, Poulson PD, Crabtree JE, Van Ry PM, Tessem JS. CEBPA Overexpression Enhances β-Cell Proliferation and Survival. BIOLOGY 2024; 13:110. [PMID: 38392328 PMCID: PMC10887016 DOI: 10.3390/biology13020110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Revised: 02/08/2024] [Accepted: 02/08/2024] [Indexed: 02/24/2024]
Abstract
A commonality between type 1 and type 2 diabetes is the decline in functional β-cell mass. The transcription factor Nkx6.1 regulates β-cell development and is integral for proper β-cell function. We have previously demonstrated that Nkx6.1 depends on c-Fos mediated upregulation and the nuclear hormone receptors Nr4a1 and Nr4a3 to increase β-cell insulin secretion, survival, and replication. Here, we demonstrate that Nkx6.1 overexpression results in upregulation of the bZip transcription factor CEBPA and that CEBPA expression is independent of c-Fos regulation. In turn, CEBPA overexpression is sufficient to enhance INS-1 832/13 β-cell and primary rat islet proliferation. CEBPA overexpression also increases the survival of β-cells treated with thapsigargin. We demonstrate that increased survival in response to ER stress corresponds with changes in expression of various genes involved in the unfolded protein response, including decreased Ire1a expression. These data show that CEBPA is sufficient to enhance functional β-cell mass by increasing β-cell proliferation and modulating the unfolded protein response.
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Affiliation(s)
- Peter N Ellsworth
- Department of Nutrition, Dietetics and Food Science, Brigham Young University, Provo, UT 84602, USA
| | - Jacob A Herring
- Department of Nutrition, Dietetics and Food Science, Brigham Young University, Provo, UT 84602, USA
- Department of Microbiology and Molecular Biology, Brigham Young University, Provo, UT 84602, USA
| | - Aaron H Leifer
- Department of Nutrition, Dietetics and Food Science, Brigham Young University, Provo, UT 84602, USA
| | - Jason D Ray
- Department of Nutrition, Dietetics and Food Science, Brigham Young University, Provo, UT 84602, USA
| | - Weston S Elison
- Department of Nutrition, Dietetics and Food Science, Brigham Young University, Provo, UT 84602, USA
| | - Peter Daniel Poulson
- Department of Chemistry and Biochemistry, Brigham Young University, Provo, UT 84602, USA
| | - Jacqueline E Crabtree
- Department of Nutrition, Dietetics and Food Science, Brigham Young University, Provo, UT 84602, USA
| | - Pam M Van Ry
- Department of Chemistry and Biochemistry, Brigham Young University, Provo, UT 84602, USA
| | - Jeffery S Tessem
- Department of Nutrition, Dietetics and Food Science, Brigham Young University, Provo, UT 84602, USA
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10
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Vishnevsky OV, Bocharnikov AV, Ignatieva EV. Peak Scores Significantly Depend on the Relationships between Contextual Signals in ChIP-Seq Peaks. Int J Mol Sci 2024; 25:1011. [PMID: 38256085 PMCID: PMC10816497 DOI: 10.3390/ijms25021011] [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: 10/31/2023] [Revised: 12/13/2023] [Accepted: 01/09/2024] [Indexed: 01/24/2024] Open
Abstract
Chromatin immunoprecipitation followed by massively parallel DNA sequencing (ChIP-seq) is a central genome-wide method for in vivo analyses of DNA-protein interactions in various cellular conditions. Numerous studies have demonstrated the complex contextual organization of ChIP-seq peak sequences and the presence of binding sites for transcription factors in them. We assessed the dependence of the ChIP-seq peak score on the presence of different contextual signals in the peak sequences by analyzing these sequences from several ChIP-seq experiments using our fully enumerative GPU-based de novo motif discovery method, Argo_CUDA. Analysis revealed sets of significant IUPAC motifs corresponding to the binding sites of the target and partner transcription factors. For these ChIP-seq experiments, multiple regression models were constructed, demonstrating a significant dependence of the peak scores on the presence in the peak sequences of not only highly significant target motifs but also less significant motifs corresponding to the binding sites of the partner transcription factors. A significant correlation was shown between the presence of the target motifs FOXA2 and the partner motifs HNF4G, which found experimental confirmation in the scientific literature, demonstrating the important contribution of the partner transcription factors to the binding of the target transcription factor to DNA and, consequently, their important contribution to the peak score.
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Affiliation(s)
- Oleg V. Vishnevsky
- Institute of Cytology and Genetics, 630090 Novosibirsk, Russia;
- Department of Natural Science, Novosibirsk State University, 630090 Novosibirsk, Russia;
| | - Andrey V. Bocharnikov
- Department of Natural Science, Novosibirsk State University, 630090 Novosibirsk, Russia;
| | - Elena V. Ignatieva
- Institute of Cytology and Genetics, 630090 Novosibirsk, Russia;
- Department of Natural Science, Novosibirsk State University, 630090 Novosibirsk, Russia;
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11
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Elias G, Schonfeld M, Saleh S, Parrish M, Barmanova M, Weinman SA, Tikhanovich I. Sepsis-induced endothelial dysfunction drives acute-on-chronic liver failure through Angiopoietin-2-HGF-C/EBPβ pathway. Hepatology 2023; 78:803-819. [PMID: 36943063 PMCID: PMC10440279 DOI: 10.1097/hep.0000000000000354] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 02/13/2023] [Indexed: 03/23/2023]
Abstract
BACKGROUND AND AIMS Acute-on-chronic liver failure (ACLF) is an acute liver and multisystem failure in patients with previously stable cirrhosis. A common cause of ACLF is sepsis secondary to bacterial infection. Sepsis-associated ACLF involves a loss of differentiated liver function in the absence of direct liver injury, and its mechanism is unknown. We aimed to study the mechanism of sepsis-associated ACLF using a novel mouse model. APPROACH AND RESULTS Sepsis-associated ACLF was induced by cecal ligation and puncture procedure (CLP) in mice treated with thioacetamide (TAA). The combination of TAA and CLP resulted in a significant decrease in liver synthetic function and high mortality. These changes were associated with reduced metabolic gene expression and increased CCAAT enhancer binding protein beta (C/EBPβ) transcriptional activity. We found that C/EBPβ binding to its target gene promoters was increased. In humans, C/EBPβ chromatin binding was similarly increased in the ACLF group compared with control cirrhosis. Hepatocyte-specific Cebpb knockout mice had reduced mortality and increased gene expression of hepatocyte differentiation markers in TAA/CLP mice, suggesting that C/EBPβ promotes liver failure in these mice. C/EBPβ activation was associated with endothelial dysfunction, characterized by reduced Angiopoietin-1/Angiopoietin-2 ratio and increased endothelial production of HGF. Angiopoietin-1 supplementation or Hgf knockdown reduced hepatocyte C/EBPβ accumulation, restored liver function, and reduced mortality, suggesting that endothelial dysfunction induced by sepsis drives ACLF through HGF-C/EBPβ pathway. CONCLUSIONS The transcription factor C/EBPβ is activated in both mouse and human ACLF and is a potential therapeutic target to prevent liver failure in patients with sepsis and cirrhosis.
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Affiliation(s)
- Grant Elias
- Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS 66160, U.S.A
| | - Michael Schonfeld
- Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS 66160, U.S.A
| | - Sara Saleh
- Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS 66160, U.S.A
| | - Mark Parrish
- Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS 66160, U.S.A
| | - Marina Barmanova
- Liver Center, University of Kansas Medical Center, Kansas City, KS 66160, U.S.A
| | - Steven A Weinman
- Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS 66160, U.S.A
- Kansas City VA Medical Center, Kansas City, MO, USA
| | - Irina Tikhanovich
- Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS 66160, U.S.A
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12
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Gaggioli V, Lo CSY, Reverón-Gómez N, Jasencakova Z, Domenech H, Nguyen H, Sidoli S, Tvardovskiy A, Uruci S, Slotman JA, Chai Y, Gonçalves JGSCS, Manolika EM, Jensen ON, Wheeler D, Sridharan S, Chakrabarty S, Demmers J, Kanaar R, Groth A, Taneja N. Dynamic de novo heterochromatin assembly and disassembly at replication forks ensures fork stability. Nat Cell Biol 2023; 25:1017-1032. [PMID: 37414849 PMCID: PMC10344782 DOI: 10.1038/s41556-023-01167-z] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Accepted: 05/16/2023] [Indexed: 07/08/2023]
Abstract
Chromatin is dynamically reorganized when DNA replication forks are challenged. However, the process of epigenetic reorganization and its implication for fork stability is poorly understood. Here we discover a checkpoint-regulated cascade of chromatin signalling that activates the histone methyltransferase EHMT2/G9a to catalyse heterochromatin assembly at stressed replication forks. Using biochemical and single molecule chromatin fibre approaches, we show that G9a together with SUV39h1 induces chromatin compaction by accumulating the repressive modifications, H3K9me1/me2/me3, in the vicinity of stressed replication forks. This closed conformation is also favoured by the G9a-dependent exclusion of the H3K9-demethylase JMJD1A/KDM3A, which facilitates heterochromatin disassembly upon fork restart. Untimely heterochromatin disassembly from stressed forks by KDM3A enables PRIMPOL access, triggering single-stranded DNA gap formation and sensitizing cells towards chemotherapeutic drugs. These findings may help in explaining chemotherapy resistance and poor prognosis observed in patients with cancer displaying elevated levels of G9a/H3K9me3.
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Affiliation(s)
- Vincent Gaggioli
- Department of Molecular Genetics, Erasmus University Medical Center, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
- Oncode Institute, Erasmus University Medical Center, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Calvin S Y Lo
- Department of Molecular Genetics, Erasmus University Medical Center, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Nazaret Reverón-Gómez
- Novo Nordisk Foundation Center for Protein Research (CPR), Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Biotech Research and Innovation Centre (BRIC), Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Zuzana Jasencakova
- Novo Nordisk Foundation Center for Protein Research (CPR), Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Biotech Research and Innovation Centre (BRIC), Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Heura Domenech
- Department of Molecular Genetics, Erasmus University Medical Center, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Hong Nguyen
- Department of Molecular Genetics, Erasmus University Medical Center, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Simone Sidoli
- Department of Biochemistry & Molecular Biology, VILLUM Centre for Bioanalytical Sciences and Centre for Epigenetics, University of Southern Denmark, Odense, Denmark
- Department of Biochemistry, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Andrey Tvardovskiy
- Department of Biochemistry & Molecular Biology, VILLUM Centre for Bioanalytical Sciences and Centre for Epigenetics, University of Southern Denmark, Odense, Denmark
- Institute of Functional Epigenetics (IFE), Helmholtz Zentrum Munchen, Neuherberg, Germany
| | - Sidrit Uruci
- Department of Molecular Genetics, Erasmus University Medical Center, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Johan A Slotman
- Department of Pathology, Erasmus Optical Imaging Centre, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Yi Chai
- Cancer Science Institute of Singapore, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore, Singapore
| | | | - Eleni Maria Manolika
- Department of Molecular Genetics, Erasmus University Medical Center, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Ole N Jensen
- Department of Biochemistry & Molecular Biology, VILLUM Centre for Bioanalytical Sciences and Centre for Epigenetics, University of Southern Denmark, Odense, Denmark
| | - David Wheeler
- Laboratory of Biochemistry and Molecular Biology, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sriram Sridharan
- Cancer Science Institute of Singapore, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore, Singapore
| | - Sanjiban Chakrabarty
- Department of Cell and Molecular Biology, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, India
| | - Jeroen Demmers
- Proteomics Center and Department of Biochemistry, Erasmus University Medical Centre, Rotterdam, the Netherlands
| | - Roland Kanaar
- Department of Molecular Genetics, Erasmus University Medical Center, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
- Oncode Institute, Erasmus University Medical Center, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Anja Groth
- Novo Nordisk Foundation Center for Protein Research (CPR), Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Biotech Research and Innovation Centre (BRIC), Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Nitika Taneja
- Department of Molecular Genetics, Erasmus University Medical Center, Erasmus MC Cancer Institute, Rotterdam, the Netherlands.
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13
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Wu J, Bu D, Wang H, Shen D, Chong D, Zhang T, Tao W, Zhao M, Zhao Y, Fang L, Li P, Xue B, Li CJ. The rhythmic coupling of Egr-1 and Cidea regulates age-related metabolic dysfunction in the liver of male mice. Nat Commun 2023; 14:1634. [PMID: 36964140 PMCID: PMC10038990 DOI: 10.1038/s41467-023-36775-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Accepted: 02/14/2023] [Indexed: 03/26/2023] Open
Abstract
The liver lipid metabolism of older individuals canbecome impaired and the circadian rhythm of genes involved in lipid metabolism is also disturbed. Although the link between metabolism and circadian rhythms is already recognized, how these processes are decoupled in liver during aging is still largely unknown. Here, we show that the circadian rhythm for the transcription factor Egr-1 expression is shifted forward with age in male mice. Egr-1 deletion accelerates liver age-related metabolic dysfunction, which associates with increased triglyceride accumulation, disruption of the opposite rhythmic coupling of Egr-1 and Cidea (Cell Death Inducing DFFA Like Effector A) at the transcriptional level and large lipid droplet formation. Importantly, adjustment of the central clock with light via a 4-hour forward shift in 6-month-old mice, leads to recovery the rhythm shift of Egr-1 during aging and largely ameliorated liver metabolic dysfunction. All our collected data suggest that liver Egr-1 might integrate the central and peripheral rhythms and regulate metabolic homeostasis in the liver.
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Affiliation(s)
- Jing Wu
- Ministry of Education Key Laboratory of Model Animal for Disease Study, Model Animal Research Center of the Medical School, Nanjing University, Nanjing, 210093, Jiangsu Province, China
- State Key Laboratory of Reproductive Medicine and China International Joint Research Center on Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- Core Laboratory, Sir Run Run Hospital, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
| | - Dandan Bu
- Ministry of Education Key Laboratory of Model Animal for Disease Study, Model Animal Research Center of the Medical School, Nanjing University, Nanjing, 210093, Jiangsu Province, China
| | - Haiquan Wang
- Ministry of Education Key Laboratory of Model Animal for Disease Study, Model Animal Research Center of the Medical School, Nanjing University, Nanjing, 210093, Jiangsu Province, China
| | - Di Shen
- Ministry of Education Key Laboratory of Model Animal for Disease Study, Model Animal Research Center of the Medical School, Nanjing University, Nanjing, 210093, Jiangsu Province, China
| | - Danyang Chong
- Ministry of Education Key Laboratory of Model Animal for Disease Study, Model Animal Research Center of the Medical School, Nanjing University, Nanjing, 210093, Jiangsu Province, China
| | - Tongyu Zhang
- Ministry of Education Key Laboratory of Model Animal for Disease Study, Model Animal Research Center of the Medical School, Nanjing University, Nanjing, 210093, Jiangsu Province, China
| | - Weiwei Tao
- State Key Laboratory of Reproductive Medicine and China International Joint Research Center on Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Mengfei Zhao
- Ministry of Education Key Laboratory of Model Animal for Disease Study, Model Animal Research Center of the Medical School, Nanjing University, Nanjing, 210093, Jiangsu Province, China
| | - Yue Zhao
- Ministry of Education Key Laboratory of Model Animal for Disease Study, Model Animal Research Center of the Medical School, Nanjing University, Nanjing, 210093, Jiangsu Province, China
| | - Lei Fang
- Ministry of Education Key Laboratory of Model Animal for Disease Study, Model Animal Research Center of the Medical School, Nanjing University, Nanjing, 210093, Jiangsu Province, China
| | - Peng Li
- Institute of Metabolism & Integrative Biology (IMIB), Fudan University, Shanghai, 200438, China.
| | - Bin Xue
- Core Laboratory, Sir Run Run Hospital, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.
| | - Chao-Jun Li
- State Key Laboratory of Reproductive Medicine and China International Joint Research Center on Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
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14
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Liu S, Wang J, Chen S, Han Z, Wu H, Chen H, Duan Y. C/EBPβ Coupled with E2F2 Promoted the Proliferation of hESC-Derived Hepatocytes through Direct Binding to the Promoter Regions of Cell-Cycle-Related Genes. Cells 2023; 12:cells12030497. [PMID: 36766839 PMCID: PMC9914899 DOI: 10.3390/cells12030497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 01/09/2023] [Accepted: 01/31/2023] [Indexed: 02/05/2023] Open
Abstract
Human embryonic stem cells (hESCs) hold the potential to solve the problem of the shortage of functional hepatocytes in clinical applications and drug development. However, a large number of usable hepatocytes derived from hESCs cannot be effectively obtained due to the limited proliferation capacity. In this study, we found that enhancement of liver transcription factor C/EBPβ during hepatic differentiation could not only significantly promote the expression of hepatic genes, such as albumin, alpha fetoprotein, and alpha-1 antitrypsin, but also dramatically reinforce proliferation-related phenotypes, including increasing the expression of proliferative genes, such as CDC25C, CDC45L, and PCNA, and the activation of cell cycle and DNA replication pathways. In addition, the analysis of CUT&Tag sequencing further revealed that C/EBPβ is directly bound to the promoter region of proliferating genes to promote cell proliferation; this interaction between C/EBPβ and DNA sequences of the promoters was verified by luciferase assay. On the contrary, the knockdown of C/EBPβ could significantly inhibit the expression of the aforementioned proliferative genes. RNA transcriptome analysis and GSEA enrichment indicated that the E2F family was enriched, and the expression of E2F2 was changed with the overexpression or knockdown of C/EBPβ. Moreover, the results of CUT&Tag sequencing showed that C/EBPβ also directly bound the promoter of E2F2, regulating E2F2 expression. Interestingly, Co-IP analysis exhibited a direct binding between C/EBPβ and E2F2 proteins, and this interaction between these two proteins was also verified in the LO2 cell line, a hepatic progenitor cell line. Thus, our results demonstrated that C/EBPβ first initiated E2F2 expression and then coupled with E2F2 to regulate the expression of proliferative genes in hepatocytes during the differentiation of hESCs. Therefore, our findings open a new avenue to provide an in vitro efficient approach to generate proliferative hepatocytes to potentially meet the demands for use in cell-based therapeutics as well as for pharmaceutical and toxicological studies.
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Affiliation(s)
- Shoupei Liu
- Laboratory of Stem Cells and Translational Medicine, Institutes for Life Sciences, School of Medicine, South China University of Technology, Guangzhou 510006, China
| | - Jue Wang
- Laboratory of Stem Cells and Translational Medicine, Institutes for Life Sciences, School of Medicine, South China University of Technology, Guangzhou 510006, China
| | - Sen Chen
- Laboratory of Stem Cells and Translational Medicine, Institutes for Life Sciences, School of Medicine, South China University of Technology, Guangzhou 510006, China
| | - Zonglin Han
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China
| | - Haibin Wu
- Laboratory of Stem Cells and Translational Medicine, Institutes for Life Sciences, School of Medicine, South China University of Technology, Guangzhou 510006, China
| | - Honglin Chen
- Laboratory of Stem Cells and Translational Medicine, Institutes for Life Sciences, School of Medicine, South China University of Technology, Guangzhou 510006, China
- Correspondence: (H.C.); (Y.D.)
| | - Yuyou Duan
- Laboratory of Stem Cells and Translational Medicine, Institutes for Life Sciences, School of Medicine, South China University of Technology, Guangzhou 510006, China
- Correspondence: (H.C.); (Y.D.)
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15
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Cheng W, Zhou Y, Xie Y, Li Y, Zhou R, Wang H, Feng Y, Wang Y. Combined effect of polystyrene microplastics and bisphenol A on the human embryonic stem cells-derived liver organoids: The hepatotoxicity and lipid accumulation. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 854:158585. [PMID: 36089014 DOI: 10.1016/j.scitotenv.2022.158585] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 09/01/2022] [Accepted: 09/03/2022] [Indexed: 06/15/2023]
Abstract
Human are exposed to microplastics (MP) via inhalation or ingestion daily and inevitably. The liver is an important target organ of MP. Bisphenol A (BPA) is one of commonly used plasticizers. It is added in plastics, but also generally detected in the biological samples of human beings. However, the combined toxic effect of MP and BPA on human liver is unclear. In this study, a novel 3D in vitro model, the liver organoid (LO) derived from human-pluripotent stem cells, has been utilized to explore the 1 μm polystyrene (PS)-induced hepatotoxicity with BPA individually and jointly. Conclusively, all the changes in the cytotoxicity, cellular and molecular makers regarding the energy supplement, hepatic injury, oxidative stress, inflammatory response, disruption in the lipid accumulation, as well as epigenetics regulation induced by BPA or PS on the LOs individually were comparable to previous study. The BPA levels in the culture medium were declined by the added PS. The combined adverse effect of PS and BPA on the LOs was identified to be synergistic upon deteriorated hepatotoxicity and interfered the gene panels related to multiple processes of lipid metabolism, together with the proteins of HNF4A, CD36, ACC1, CPT1A, CYP2E1, ERα and ERβ. Specifically, PS didn't change the ERα or ERβ individually, but when the LOs were co-exposed to PS and BPA, the ERα further elevated significantly and synergistically. Our findings highlight the metabolic-related health risk due to co-exposure to MP and BPA, even at low-doses equivalent to human internal exposure level. Based on these findings, the potential adverse outcome pathway related to PS and BPA singly and jointly were proposed, predicting two possible outcomes to be hepatic steatosis. Moreover, the ERα and HNF4A were proposed to be potential candidate markers to investigate the "vector-like effect" of PS in the present of BPA.
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Affiliation(s)
- Wei Cheng
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Yue Zhou
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Yichun Xie
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yan Li
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ren Zhou
- The Ninth People's Hospital of Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hui Wang
- State Key Laboratory of Oncogenes and Related Genes, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Yan Feng
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Yan Wang
- The Ninth People's Hospital of Shanghai Jiao Tong University School of Medicine, School of Public Health, Shanghai Collaborative Innovation Center for Translational Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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16
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Kantzer CG, Yang W, Grommisch D, Patil KV, Mak KHM, Shirokova V, Genander M. ID1 and CEBPA coordinate epidermal progenitor cell differentiation. Development 2022; 149:282464. [PMID: 36330928 PMCID: PMC9845743 DOI: 10.1242/dev.201262] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 10/12/2022] [Indexed: 11/06/2022]
Abstract
The regulatory circuits that coordinate epidermal differentiation during development are still not fully understood. Here, we report that the transcriptional regulator ID1 is enriched in mouse basal epidermal progenitor cells and find ID1 expression to be diminished upon differentiation. In utero silencing of Id1 impairs progenitor cell proliferation, leads to precocious delamination of targeted progenitor cells and enables differentiated keratinocytes to retain progenitor markers and characteristics. Transcriptional profiling suggests that ID1 acts by mediating adhesion to the basement membrane while inhibiting spinous layer differentiation. Co-immunoprecipitation reveals ID1 binding to transcriptional regulators of the class I bHLH family. We localize bHLH Tcf3, Tcf4 and Tcf12 to epidermal progenitor cells during epidermal stratification and establish TCF3 as a downstream effector of ID1-mediated epidermal proliferation. Finally, we identify crosstalk between CEBPA, a known mediator of epidermal differentiation, and Id1, and demonstrate that CEBPA antagonizes BMP-induced activation of Id1. Our work establishes ID1 as a key coordinator of epidermal development, acting to balance progenitor proliferation with differentiation and unveils how functional crosstalk between CEBPA and Id1 orchestrates epidermal lineage progression.
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Affiliation(s)
| | - Wei Yang
- Department of Cell and Molecular Biology, Karolinska Institutet, 171 77, Stockholm, Sweden
| | - David Grommisch
- Department of Cell and Molecular Biology, Karolinska Institutet, 171 77, Stockholm, Sweden
| | - Kim Vikhe Patil
- Department of Cell and Molecular Biology, Karolinska Institutet, 171 77, Stockholm, Sweden
| | - Kylie Hin-Man Mak
- Department of Cell and Molecular Biology, Karolinska Institutet, 171 77, Stockholm, Sweden
| | - Vera Shirokova
- Department of Cell and Molecular Biology, Karolinska Institutet, 171 77, Stockholm, Sweden
| | - Maria Genander
- Department of Cell and Molecular Biology, Karolinska Institutet, 171 77, Stockholm, Sweden,Author for correspondence ()
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17
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Pita-Juarez Y, Karagkouni D, Kalavros N, Melms JC, Niezen S, Delorey TM, Essene AL, Brook OR, Pant D, Skelton-Badlani D, Naderi P, Huang P, Pan L, Hether T, Andrews TS, Ziegler CGK, Reeves J, Myloserdnyy A, Chen R, Nam A, Phelan S, Liang Y, Amin AD, Biermann J, Hibshoosh H, Veregge M, Kramer Z, Jacobs C, Yalcin Y, Phillips D, Slyper M, Subramanian A, Ashenberg O, Bloom-Ackermann Z, Tran VM, Gomez J, Sturm A, Zhang S, Fleming SJ, Warren S, Beechem J, Hung D, Babadi M, Padera RF, MacParland SA, Bader GD, Imad N, Solomon IH, Miller E, Riedel S, Porter CBM, Villani AC, Tsai LTY, Hide W, Szabo G, Hecht J, Rozenblatt-Rosen O, Shalek AK, Izar B, Regev A, Popov Y, Jiang ZG, Vlachos IS. A single-nucleus and spatial transcriptomic atlas of the COVID-19 liver reveals topological, functional, and regenerative organ disruption in patients. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2022:2022.10.27.514070. [PMID: 36324805 PMCID: PMC9628199 DOI: 10.1101/2022.10.27.514070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
The molecular underpinnings of organ dysfunction in acute COVID-19 and its potential long-term sequelae are under intense investigation. To shed light on these in the context of liver function, we performed single-nucleus RNA-seq and spatial transcriptomic profiling of livers from 17 COVID-19 decedents. We identified hepatocytes positive for SARS-CoV-2 RNA with an expression phenotype resembling infected lung epithelial cells. Integrated analysis and comparisons with healthy controls revealed extensive changes in the cellular composition and expression states in COVID-19 liver, reflecting hepatocellular injury, ductular reaction, pathologic vascular expansion, and fibrogenesis. We also observed Kupffer cell proliferation and erythrocyte progenitors for the first time in a human liver single-cell atlas, resembling similar responses in liver injury in mice and in sepsis, respectively. Despite the absence of a clinical acute liver injury phenotype, endothelial cell composition was dramatically impacted in COVID-19, concomitantly with extensive alterations and profibrogenic activation of reactive cholangiocytes and mesenchymal cells. Our atlas provides novel insights into liver physiology and pathology in COVID-19 and forms a foundational resource for its investigation and understanding.
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Affiliation(s)
- Yered Pita-Juarez
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Dimitra Karagkouni
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Nikolaos Kalavros
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Spatial Technologies Unit, HMS Initiative for RNA Medicine / Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Johannes C Melms
- Department of Medicine, Division of Hematology/Oncology, Columbia University Irving Medical Center, New York, NY, USA
- Columbia Center for Translational Immunology, New York, NY, USA
| | - Sebastian Niezen
- Harvard Medical School, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Division of Gastroenterology, Hepatology and Nutrition, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, MA, USA
| | - Toni M Delorey
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Adam L Essene
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, MA, USA
- Division of Endocrinology, Diabetes, and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Boston Nutrition and Obesity Research Center Functional Genomics and Bioinformatics Core, Boston, MA, USA
| | - Olga R Brook
- Department of Radiology, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Deepti Pant
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, MA, USA
- Division of Endocrinology, Diabetes, and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Boston Nutrition and Obesity Research Center Functional Genomics and Bioinformatics Core, Boston, MA, USA
| | - Disha Skelton-Badlani
- Harvard Medical School, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Division of Gastroenterology, Hepatology and Nutrition, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, MA, USA
| | - Pourya Naderi
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Pinzhu Huang
- Harvard Medical School, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Division of Gastroenterology, Hepatology and Nutrition, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, MA, USA
| | - Liuliu Pan
- NanoString Technologies, Inc., Seattle, WA, USA
| | | | - Tallulah S Andrews
- Ajmera Transplant Centre, Toronto General Research Institute, University Health Network, Toronto, ON, Canada
| | - Carly G K Ziegler
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Program in Health Sciences & Technology, Harvard Medical School & Massachusetts Institute of Technology, Boston, MA, USA
- Institute for Medical Engineering & Science, Massachusetts Institute of Technology, Cambridge, MA, USA
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA
- Harvard Graduate Program in Biophysics, Harvard University, Cambridge, MA, USA
- Harvard Stem Cell Institute, Cambridge, MA, USA
- Program in Computational & Systems Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
- Program in Immunology, Harvard Medical School, Boston, MA, USA
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA
| | | | - Andriy Myloserdnyy
- Harvard Medical School, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Division of Gastroenterology, Hepatology and Nutrition, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, MA, USA
| | - Rachel Chen
- Harvard Medical School, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Division of Gastroenterology, Hepatology and Nutrition, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, MA, USA
| | - Andy Nam
- NanoString Technologies, Inc., Seattle, WA, USA
| | | | - Yan Liang
- NanoString Technologies, Inc., Seattle, WA, USA
| | - Amit Dipak Amin
- Department of Medicine, Division of Hematology/Oncology, Columbia University Irving Medical Center, New York, NY, USA
- Columbia Center for Translational Immunology, New York, NY, USA
| | - Jana Biermann
- Department of Medicine, Division of Hematology/Oncology, Columbia University Irving Medical Center, New York, NY, USA
- Columbia Center for Translational Immunology, New York, NY, USA
| | - Hanina Hibshoosh
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, USA
| | - Molly Veregge
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, MA, USA
- Division of Endocrinology, Diabetes, and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Boston Nutrition and Obesity Research Center Functional Genomics and Bioinformatics Core, Boston, MA, USA
| | - Zachary Kramer
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, MA, USA
- Division of Endocrinology, Diabetes, and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Christopher Jacobs
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, MA, USA
- Division of Endocrinology, Diabetes, and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Boston Nutrition and Obesity Research Center Functional Genomics and Bioinformatics Core, Boston, MA, USA
| | - Yusuf Yalcin
- Harvard Medical School, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Division of Gastroenterology, Hepatology and Nutrition, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, MA, USA
| | - Devan Phillips
- Current address: Genentech, 1 DNA Way, South San Francisco, CA, USA
| | - Michal Slyper
- Current address: Genentech, 1 DNA Way, South San Francisco, CA, USA
| | | | - Orr Ashenberg
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Zohar Bloom-Ackermann
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Victoria M Tran
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - James Gomez
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Alexander Sturm
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Shuting Zhang
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Stephen J Fleming
- Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Precision Cardiology Laboratory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | | | - Deborah Hung
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Department of Molecular Biology and Center for Computational and Integrative Biology, Massachusetts General Hospital, Boston, MA, USA
| | - Mehrtash Babadi
- Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Precision Cardiology Laboratory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Robert F Padera
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA
| | - Sonya A MacParland
- Ajmera Transplant Centre, Toronto General Research Institute, University Health Network, Toronto, ON, Canada
- Department of Immunology, University of Toronto, Medical Sciences Building, 1 King's College Circle, Toronto, ON, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Gary D Bader
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
- The Donnelly Centre, Toronto, ON, Canada
| | - Nasser Imad
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Isaac H Solomon
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA
| | - Eric Miller
- NanoString Technologies, Inc., Seattle, WA, USA
| | - Stefan Riedel
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Caroline B M Porter
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Alexandra-Chloé Villani
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Immunology and Inflammatory Diseases, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Cancer Research, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Linus T-Y Tsai
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, MA, USA
- Division of Endocrinology, Diabetes, and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Boston Nutrition and Obesity Research Center Functional Genomics and Bioinformatics Core, Boston, MA, USA
| | - Winston Hide
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Gyongyi Szabo
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Division of Gastroenterology, Hepatology and Nutrition, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, MA, USA
| | - Jonathan Hecht
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Orit Rozenblatt-Rosen
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Current address: Genentech, 1 DNA Way, South San Francisco, CA, USA
| | - Alex K Shalek
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Program in Health Sciences & Technology, Harvard Medical School & Massachusetts Institute of Technology, Boston, MA, USA
- Institute for Medical Engineering & Science, Massachusetts Institute of Technology, Cambridge, MA, USA
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA
- Harvard Graduate Program in Biophysics, Harvard University, Cambridge, MA, USA
- Harvard Stem Cell Institute, Cambridge, MA, USA
- Program in Computational & Systems Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
- Program in Immunology, Harvard Medical School, Boston, MA, USA
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Benjamin Izar
- Department of Medicine, Division of Hematology/Oncology, Columbia University Irving Medical Center, New York, NY, USA
- Columbia Center for Translational Immunology, New York, NY, USA
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA
- Program for Mathematical Genomics, Columbia University Irving Medical Center, New York, NY, USA
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA
| | - Aviv Regev
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Current address: Genentech, 1 DNA Way, South San Francisco, CA, USA
| | - Yury Popov
- Harvard Medical School, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Division of Gastroenterology, Hepatology and Nutrition, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Z Gordon Jiang
- Harvard Medical School, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Division of Gastroenterology, Hepatology and Nutrition, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, MA, USA
| | - Ioannis S Vlachos
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Spatial Technologies Unit, HMS Initiative for RNA Medicine / Beth Israel Deaconess Medical Center, Boston, MA, USA
- Cancer Research Institute, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School Initiative for RNA Medicine, Boston, MA, USA
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18
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Pita-Juarez Y, Karagkouni D, Kalavros N, Melms JC, Niezen S, Delorey TM, Essene AL, Brook OR, Pant D, Skelton-Badlani D, Naderi P, Huang P, Pan L, Hether T, Andrews TS, Ziegler CGK, Reeves J, Myloserdnyy A, Chen R, Nam A, Phelan S, Liang Y, Amin AD, Biermann J, Hibshoosh H, Veregge M, Kramer Z, Jacobs C, Yalcin Y, Phillips D, Slyper M, Subramanian A, Ashenberg O, Bloom-Ackermann Z, Tran VM, Gomez J, Sturm A, Zhang S, Fleming SJ, Warren S, Beechem J, Hung D, Babadi M, Padera RF, MacParland SA, Bader GD, Imad N, Solomon IH, Miller E, Riedel S, Porter CBM, Villani AC, Tsai LTY, Hide W, Szabo G, Hecht J, Rozenblatt-Rosen O, Shalek AK, Izar B, Regev A, Popov Y, Jiang ZG, Vlachos IS. A single-nucleus and spatial transcriptomic atlas of the COVID-19 liver reveals topological, functional, and regenerative organ disruption in patients. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2022. [PMID: 36324805 DOI: 10.1101/2022.08.06.503037] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/09/2023]
Abstract
The molecular underpinnings of organ dysfunction in acute COVID-19 and its potential long-term sequelae are under intense investigation. To shed light on these in the context of liver function, we performed single-nucleus RNA-seq and spatial transcriptomic profiling of livers from 17 COVID-19 decedents. We identified hepatocytes positive for SARS-CoV-2 RNA with an expression phenotype resembling infected lung epithelial cells. Integrated analysis and comparisons with healthy controls revealed extensive changes in the cellular composition and expression states in COVID-19 liver, reflecting hepatocellular injury, ductular reaction, pathologic vascular expansion, and fibrogenesis. We also observed Kupffer cell proliferation and erythrocyte progenitors for the first time in a human liver single-cell atlas, resembling similar responses in liver injury in mice and in sepsis, respectively. Despite the absence of a clinical acute liver injury phenotype, endothelial cell composition was dramatically impacted in COVID-19, concomitantly with extensive alterations and profibrogenic activation of reactive cholangiocytes and mesenchymal cells. Our atlas provides novel insights into liver physiology and pathology in COVID-19 and forms a foundational resource for its investigation and understanding.
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19
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Kim JY, Wang LQ, Sladky VC, Oh TG, Liu J, Trinh K, Eichin F, Downes M, Hosseini M, Jacotot ED, Evans RM, Villunger A, Karin M. PIDDosome-SCAP crosstalk controls high-fructose-diet-dependent transition from simple steatosis to steatohepatitis. Cell Metab 2022; 34:1548-1560.e6. [PMID: 36041455 PMCID: PMC9547947 DOI: 10.1016/j.cmet.2022.08.005] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 06/17/2022] [Accepted: 08/07/2022] [Indexed: 02/06/2023]
Abstract
Sterol deficiency triggers SCAP-mediated SREBP activation, whereas hypernutrition together with ER stress activates SREBP1/2 via caspase-2. Whether these pathways interact and how they are selectively activated by different dietary cues are unknown. Here, we reveal regulatory crosstalk between the two pathways that controls the transition from hepatosteatosis to steatohepatitis. Hepatic ER stress elicited by NASH-inducing diets activates IRE1 and induces expression of the PIDDosome subunits caspase-2, RAIDD, and PIDD1, along with INSIG2, an inhibitor of SCAP-dependent SREBP activation. PIDDosome assembly activates caspase-2 and sustains IRE1 activation. PIDDosome ablation or IRE1 inhibition blunt steatohepatitis and diminish INSIG2 expression. Conversely, while inhibiting simple steatosis, SCAP ablation amplifies IRE1 and PIDDosome activation and liver damage in NASH-diet-fed animals, effects linked to ER disruption and preventable by IRE1 inhibition. Thus, the PIDDosome and SCAP pathways antagonistically modulate nutrient-induced hepatic ER stress to control non-linear transition from simple steatosis to hepatitis, a key step in NASH pathogenesis.
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Affiliation(s)
- Ju Youn Kim
- Laboratory of Gene Regulation and Signal Transduction, Departments of Pharmacology and Pathology, School of Medicine, University of California San Diego, La Jolla, CA 92093, USA.
| | - Lily Q Wang
- Laboratory of Gene Regulation and Signal Transduction, Departments of Pharmacology and Pathology, School of Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Valentina C Sladky
- Institute for Developmental Immunology, Biocenter, Medical University of Innsbruck, Innsbruck, Austria
| | - Tae Gyu Oh
- Gene Expression Laboratory, Salk Institute of Biological Studies, La Jolla, CA 9037, USA
| | - Junlai Liu
- Laboratory of Gene Regulation and Signal Transduction, Departments of Pharmacology and Pathology, School of Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Kaitlyn Trinh
- Laboratory of Gene Regulation and Signal Transduction, Departments of Pharmacology and Pathology, School of Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Felix Eichin
- Institute for Developmental Immunology, Biocenter, Medical University of Innsbruck, Innsbruck, Austria
| | - Michael Downes
- Gene Expression Laboratory, Salk Institute of Biological Studies, La Jolla, CA 9037, USA
| | - Mojgan Hosseini
- Department of Pathology, University of California San Diego, La Jolla, CA 92037, USA
| | - Etienne D Jacotot
- INSERM U1164 Sorbonne Université, Campus Pierre et Marie Curie, Paris 75005, France; Department of Pathology & Cell Biology and the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, New York, NY 10033, USA
| | - Ronald M Evans
- Gene Expression Laboratory, Salk Institute of Biological Studies, La Jolla, CA 9037, USA
| | - Andreas Villunger
- Institute for Developmental Immunology, Biocenter, Medical University of Innsbruck, Innsbruck, Austria; CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria
| | - Michael Karin
- Laboratory of Gene Regulation and Signal Transduction, Departments of Pharmacology and Pathology, School of Medicine, University of California San Diego, La Jolla, CA 92093, USA.
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20
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Dynamics of hepatocyte-cholangiocyte cell-fate decisions during liver development and regeneration. iScience 2022; 25:104955. [PMID: 36060070 PMCID: PMC9437857 DOI: 10.1016/j.isci.2022.104955] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 05/17/2022] [Accepted: 08/12/2022] [Indexed: 11/25/2022] Open
Abstract
The immense regenerative potential of the liver is attributed to the ability of its two key cell types – hepatocytes and cholangiocytes – to trans-differentiate to one another either directly or through intermediate progenitor states. However, the dynamic features of decision-making between these cell-fates during liver development and regeneration remains elusive. Here, we identify a core gene regulatory network comprising c/EBPα, TGFBR2, and SOX9 which is multistable in nature, enabling three distinct cell states – hepatocytes, cholangiocytes, and liver progenitor cells (hepatoblasts/oval cells) – and stochastic switching among them. Predicted expression signature for these three states are validated through multiple bulk and single-cell transcriptomic datasets collected across developmental stages and injury-induced liver repair. This network can also explain the experimentally observed spatial organization of phenotypes in liver parenchyma and predict strategies for efficient cellular reprogramming. Our analysis elucidates how the emergent dynamics of underlying regulatory networks drive diverse cell-fate decisions in liver development and regeneration. Identified minimal regulatory network to model liver development and regeneration Changes in phenotypic landscapes by in-silico perturbations of regulatory networks Ability to explain physiological spatial patterning of liver cell types Decoded strategies for efficient reprogramming among liver cell phenotypes
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21
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Li X, Wang W, Chen J, Xie B, Luo S, Chen D, Cai C, Li C, Li W. The potential role of exosomal miRNAs and membrane proteins in acute HIV-infected people. Front Immunol 2022; 13:939504. [PMID: 36032099 PMCID: PMC9411714 DOI: 10.3389/fimmu.2022.939504] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 07/21/2022] [Indexed: 11/23/2022] Open
Abstract
Exosomes play an important role during human immunodeficiency virus (HIV) acute infection. Yet, information regarding its cargo and its association with HIV rapid progressors (RPs) and typical progressors (TPs) remain largely unknown. In this study, exosomal miRNAs sequencing and mass cytometry were used to identify differential exosomal miRNAs and membrane proteins that participate in the pathogenesis of TPs and RPs. We discovered that miR-144-5p, miR-1180-3p, miR-451a, miR-362-5p, and miR-625-5p are associated with the TPs and miR-362-5p with the RPs. Decreased autophagy, amino acid metabolism, immune response, and IL-6 are closely related to RPs. In addition, SP1 was selected as the most significant transcription factor (TF) associated with disease progression. CD49D, CD5, CCR5, CD40, CD14, and CD86 were selected as the differential exosomal membrane proteins between TPs and RPs. This study provides valuable information for clarifying the mechanism in people with acute HIV infection.
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Affiliation(s)
- Xin Li
- Institute of Infectious Diseases of Integrated Traditional Chinese and Western Medicine, Beijing Youan Hospital, Capital Medical University, Beijing, China
- General Surgery Center, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Wenjing Wang
- Beijing Institute of Hepatology, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Jing Chen
- Institute of Infectious Diseases of Integrated Traditional Chinese and Western Medicine, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Bangxiang Xie
- Beijing Institute of Hepatology, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Shumin Luo
- Institute of Infectious Diseases of Integrated Traditional Chinese and Western Medicine, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Dexi Chen
- Beijing Institute of Hepatology, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Chao Cai
- Institute of Infectious Diseases of Integrated Traditional Chinese and Western Medicine, Beijing Youan Hospital, Capital Medical University, Beijing, China
- *Correspondence: Weihua Li, ; Chao Cai, ; Chuanyun Li,
| | - Chuanyun Li
- General Surgery Center, Beijing Youan Hospital, Capital Medical University, Beijing, China
- *Correspondence: Weihua Li, ; Chao Cai, ; Chuanyun Li,
| | - Weihua Li
- Institute of Infectious Diseases of Integrated Traditional Chinese and Western Medicine, Beijing Youan Hospital, Capital Medical University, Beijing, China
- *Correspondence: Weihua Li, ; Chao Cai, ; Chuanyun Li,
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22
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SimiC enables the inference of complex gene regulatory dynamics across cell phenotypes. Commun Biol 2022; 5:351. [PMID: 35414121 PMCID: PMC9005655 DOI: 10.1038/s42003-022-03319-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Accepted: 03/24/2022] [Indexed: 11/08/2022] Open
Abstract
Single-cell RNA-Sequencing has the potential to provide deep biological insights by revealing complex regulatory interactions across diverse cell phenotypes at single-cell resolution. However, current single-cell gene regulatory network inference methods produce a single regulatory network per input dataset, limiting their capability to uncover complex regulatory relationships across related cell phenotypes. We present SimiC, a single-cell gene regulatory inference framework that overcomes this limitation by jointly inferring distinct, but related, gene regulatory dynamics per phenotype. We show that SimiC uncovers key regulatory dynamics missed by previously proposed methods across a range of systems, both model and non-model alike. In particular, SimiC was able to uncover CAR T cell dynamics after tumor recognition and key regulatory patterns on a regenerating liver, and was able to implicate glial cells in the generation of distinct behavioral states in honeybees. SimiC hence establishes a new approach to quantitating regulatory architectures between distinct cellular phenotypes, with far-reaching implications for systems biology.
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23
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Xu J, Hao S, Shi Q, Deng Q, Jiang Y, Guo P, Yuan Y, Shi X, Shangguan S, Zheng H, Lai G, Huang Y, Wang Y, Song Y, Liu Y, Wu L, Wang Z, Cheng J, Wei X, Cheng M, Lai Y, Volpe G, Esteban MA, Hou Y, Liu C, Liu L. Transcriptomic Profile of the Mouse Postnatal Liver Development by Single-Nucleus RNA Sequencing. Front Cell Dev Biol 2022; 10:833392. [PMID: 35465320 PMCID: PMC9019599 DOI: 10.3389/fcell.2022.833392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2021] [Accepted: 03/11/2022] [Indexed: 11/13/2022] Open
Affiliation(s)
- Jiangshan Xu
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
- BGI-Shenzhen, Shenzhen, China
| | - Shijie Hao
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
- BGI-Shenzhen, Shenzhen, China
| | - Quan Shi
- BGI-Shenzhen, Shenzhen, China
- Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Qiuting Deng
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
- BGI-Shenzhen, Shenzhen, China
| | - Yujia Jiang
- BGI-Shenzhen, Shenzhen, China
- BGI College and Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, China
| | - Pengcheng Guo
- State Key Laboratory for Zoonotic Diseases, Key Laboratory for Zoonosis Research of Ministry of Education, Institute of Zoonosis, College of Veterinary Medicine, Jilin University, Changchun, China
- Laboratory of Integrative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Yue Yuan
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
- BGI-Shenzhen, Shenzhen, China
| | - Xuyang Shi
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
- BGI-Shenzhen, Shenzhen, China
| | - Shuncheng Shangguan
- Laboratory of Integrative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Joint School of Life Sciences, Guangzhou Medical University and Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Huiwen Zheng
- BGI-Shenzhen, Shenzhen, China
- BGI College and Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, China
| | - Guangyao Lai
- Laboratory of Integrative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Joint School of Life Sciences, Guangzhou Medical University and Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | | | | | | | | | - Liang Wu
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
- BGI-Shenzhen, Shenzhen, China
| | | | - Jiehui Cheng
- Guangdong Hospital of Traditional Chinese Medicine, Zhuhai, China
| | | | - Mengnan Cheng
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
- BGI-Shenzhen, Shenzhen, China
| | - Yiwei Lai
- Laboratory of Integrative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Giacomo Volpe
- Hematology and Cell Therapy Unit, IRCCS-Istituto Tumori‘Giovanni Paolo II’, Bari, Italy
| | - Miguel A. Esteban
- BGI-Shenzhen, Shenzhen, China
- State Key Laboratory for Zoonotic Diseases, Key Laboratory for Zoonosis Research of Ministry of Education, Institute of Zoonosis, College of Veterinary Medicine, Jilin University, Changchun, China
- Laboratory of Integrative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, China
| | | | | | - Longqi Liu
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
- BGI-Shenzhen, Shenzhen, China
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24
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Kamburov A, Herwig R. ConsensusPathDB 2022: molecular interactions update as a resource for network biology. Nucleic Acids Res 2021; 50:D587-D595. [PMID: 34850110 PMCID: PMC8728246 DOI: 10.1093/nar/gkab1128] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 10/21/2021] [Accepted: 11/04/2021] [Indexed: 01/01/2023] Open
Abstract
Molecular interactions are key drivers of biological function. Providing interaction resources to the research community is important since they allow functional interpretation and network-based analysis of molecular data. ConsensusPathDB (http://consensuspathdb.org) is a meta-database combining interactions of diverse types from 31 public resources for humans, 16 for mice and 14 for yeasts. Using ConsensusPathDB, researchers commonly evaluate lists of genes, proteins and metabolites against sets of molecular interactions defined by pathways, Gene Ontology and network neighborhoods and retrieve complex molecular neighborhoods formed by heterogeneous interaction types. Furthermore, the integrated protein–protein interaction network is used as a basis for propagation methods. Here, we present the 2022 update of ConsensusPathDB, highlighting content growth, additional functionality and improved database stability. For example, the number of human molecular interactions increased to 859 848 connecting 200 499 unique physical entities such as genes/proteins, metabolites and drugs. Furthermore, we integrated regulatory datasets in the form of transcription factor–, microRNA– and enhancer–gene target interactions, thus providing novel functionality in the context of overrepresentation and enrichment analyses. We specifically emphasize the use of the integrated protein–protein interaction network as a scaffold for network inferences, present topological characteristics of the network and discuss strengths and shortcomings of such approaches.
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Affiliation(s)
- Atanas Kamburov
- R&D Digital Technologies Department, Bayer AG, Berlin 13353, Germany
| | - Ralf Herwig
- Department of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Berlin 14195, Germany
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25
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García-Chávez JN, Vásquez-Garzón VR, López MG, Villa-Treviño S, Montiel R. Integration of chronological omics data reveals mitochondrial regulatory mechanisms during the development of hepatocellular carcinoma. PLoS One 2021; 16:e0256016. [PMID: 34383828 PMCID: PMC8360386 DOI: 10.1371/journal.pone.0256016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Accepted: 07/28/2021] [Indexed: 12/13/2022] Open
Abstract
Mitochondria participate in multiple functions in eukaryotic cells. Although disruption of mitochondrial function has been associated with energetic deregulation in cancer, the chronological changes in mitochondria during cancer development remain unclear. With the aim to assess the role of mitochondria throughout cancer development, we analyzed samples chronologically obtained from induced hepatocellular carcinoma (HCC) in rats. In our analyses, we integrated mitochondrial proteomic data, mitochondrial metabolomic data and nuclear genome transcriptomic data. We used pathway over-representation and weighted gene co-expression network analysis (WGCNA) to integrate expression profiles of genes, miRNAs, proteins and metabolite levels throughout HCC development. Our results show that mitochondria are dynamic organelles presenting specific modifications in different stages of HCC development. We also found that mitochondrial proteomic profiles from tissues adjacent to nodules or tumor are determined more by the stage of HCC development than by tissue type, and we evaluated two models to predict HCC stage of the samples using proteomic profiles. Finally, we propose an omics integration pipeline to massively identify molecular features that could be further evaluated as key regulators, biomarkers or therapeutic targets. As an example, we show a group of miRNAs and transcription factors as candidates, responsible for mitochondrial metabolic modification in HCC.
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Affiliation(s)
- J. Noé García-Chávez
- Langebio, Unidad de Genómica Avanzada, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Irapuato, Mexico
| | | | - Mercedes G. López
- Departamento de Biotecnología y Bioquímica, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Irapuato, Mexico
| | - Saúl Villa-Treviño
- Department of Cell Biology, Center for Research and Advanced Studies (CINVESTAV-IPN), Ciudad de México, Mexico
| | - Rafael Montiel
- Langebio, Unidad de Genómica Avanzada, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Irapuato, Mexico
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26
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Petryk N, Reverón-Gómez N, González-Aguilera C, Dalby M, Andersson R, Groth A. Genome-wide and sister chromatid-resolved profiling of protein occupancy in replicated chromatin with ChOR-seq and SCAR-seq. Nat Protoc 2021; 16:4446-4493. [PMID: 34363071 DOI: 10.1038/s41596-021-00585-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Accepted: 06/07/2021] [Indexed: 11/09/2022]
Abstract
Elucidating the mechanisms underlying chromatin maintenance upon genome replication is critical for the understanding of how gene expression programs and cell identity are preserved across cell divisions. Here, we describe two recently developed techniques, chromatin occupancy after replication (ChOR)-seq and sister chromatids after replication (SCAR)-seq, that profile chromatin occupancy on newly replicated DNA in mammalian cells in 5 d of bench work. Both techniques share a common strategy that includes pulse labeling of newly synthesized DNA and chromatin immunoprecipitation (ChIP), followed by purification and high-throughput sequencing. Whereas ChOR-seq quantitatively profiles the post-replicative abundance of histone modifications and chromatin-associated proteins, SCAR-seq distinguishes chromatin occupancy between nascent sister chromatids. Together, these two complementary techniques have unraveled key mechanisms controlling the inheritance of modified histones during replication and revealed locus-specific dynamics of histone modifications across the cell cycle. Here, we provide the experimental protocols and bioinformatic pipelines for these methods.
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Affiliation(s)
- Nataliya Petryk
- Epigenetics and Cell Fate Centre, UMR7216 CNRS, Université de Paris, Paris, France
| | - Nazaret Reverón-Gómez
- Novo Nordisk Foundation Center for Protein Research (CPR), Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Biotech Research and Innovation Centre (BRIC), Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Cristina González-Aguilera
- Andalusian Centre for Molecular Biology and Regenerative Medicine (CABIMER), University of Seville-CSIC-University Pablo de Olavide, Andalusian Government, Seville, Spain.,Department of Cellular Biology, University of Seville, Seville, Spain
| | - Maria Dalby
- The Bioinformatics Centre, Department of Biology, Faculty of Science, University of Copenhagen, Copenhagen, Denmark.,H. Lundbeck A/S, Valby, Denmark
| | - Robin Andersson
- The Bioinformatics Centre, Department of Biology, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
| | - Anja Groth
- Novo Nordisk Foundation Center for Protein Research (CPR), Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark. .,Biotech Research and Innovation Centre (BRIC), Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
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27
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Ramberger E, Sapozhnikova V, Kowenz-Leutz E, Zimmermann K, Nicot N, Nazarov PV, Perez-Hernandez D, Reimer U, Mertins P, Dittmar G, Leutz A. PRISMA and BioID disclose a motifs-based interactome of the intrinsically disordered transcription factor C/EBPα. iScience 2021; 24:102686. [PMID: 34189442 PMCID: PMC8220391 DOI: 10.1016/j.isci.2021.102686] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2021] [Revised: 05/17/2021] [Accepted: 05/30/2021] [Indexed: 01/27/2023] Open
Abstract
C/EBPα represents a paradigm intrinsically disordered transcription factor containing short linear motifs and post-translational modifications (PTM). Unraveling C/EBPα protein interaction networks is a prerequisite for understanding the multi-modal functions of C/EBPα in hematopoiesis and leukemia. Here, we combined arrayed peptide matrix screening (PRISMA) with BioID to generate an in vivo validated and isoform specific interaction map of C/EBPα. The myeloid C/EBPα interactome comprises promiscuous and PTM-regulated interactions with protein machineries involved in gene expression, epigenetics, genome organization, DNA replication, RNA processing, and nuclear transport. C/EBPα interaction hotspots coincide with homologous conserved regions of the C/EBP family that also score as molecular recognition features. PTMs alter the interaction spectrum of C/EBP-motifs to configure a multi-valent transcription factor hub that interacts with multiple co-regulatory components, including BAF/SWI-SNF or Mediator complexes. Combining PRISMA and BioID is a powerful strategy to systematically explore the PTM-regulated interactomes of intrinsically disordered transcription factors.
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Affiliation(s)
- Evelyn Ramberger
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Robert-Rössle-Strasse 10, 13125 Berlin, Germany
| | - Valeria Sapozhnikova
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Robert-Rössle-Strasse 10, 13125 Berlin, Germany
| | - Elisabeth Kowenz-Leutz
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Robert-Rössle-Strasse 10, 13125 Berlin, Germany
| | - Karin Zimmermann
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Robert-Rössle-Strasse 10, 13125 Berlin, Germany
| | - Nathalie Nicot
- Quantitative Biology Unit, Luxembourg Institute of Health, 1a Rue Thomas Edison, 1445 Strassen, Luxembourg
| | - Petr V. Nazarov
- Quantitative Biology Unit, Luxembourg Institute of Health, 1a Rue Thomas Edison, 1445 Strassen, Luxembourg
| | - Daniel Perez-Hernandez
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Robert-Rössle-Strasse 10, 13125 Berlin, Germany
- Quantitative Biology Unit, Luxembourg Institute of Health, 1a Rue Thomas Edison, 1445 Strassen, Luxembourg
| | - Ulf Reimer
- JPT Peptide Technologies GmbH, Volmerstrasse 5, 12489 Berlin, Germany
| | - Philipp Mertins
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Robert-Rössle-Strasse 10, 13125 Berlin, Germany
| | - Gunnar Dittmar
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Robert-Rössle-Strasse 10, 13125 Berlin, Germany
- Quantitative Biology Unit, Luxembourg Institute of Health, 1a Rue Thomas Edison, 1445 Strassen, Luxembourg
| | - Achim Leutz
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Robert-Rössle-Strasse 10, 13125 Berlin, Germany
- Institute of Biology, Humboldt University of Berlin, 10115 Berlin, Germany
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28
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Chembazhi UV, Bangru S, Hernaez M, Kalsotra A. Cellular plasticity balances the metabolic and proliferation dynamics of a regenerating liver. Genome Res 2021; 31:576-591. [PMID: 33649154 DOI: 10.1101/2020.05.29.124263] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2020] [Accepted: 02/02/2021] [Indexed: 05/24/2023]
Abstract
The adult liver has an exceptional ability to regenerate, but how it maintains its specialized functions during regeneration is unclear. Here, we used partial hepatectomy (PHx) in tandem with single-cell transcriptomics to track cellular transitions and heterogeneities of ∼22,000 liver cells through the initiation, progression, and termination phases of mouse liver regeneration. Our results uncovered that, following PHx, a subset of hepatocytes transiently reactivates an early-postnatal-like gene expression program to proliferate, while a distinct population of metabolically hyperactive cells appears to compensate for any temporary deficits in liver function. Cumulative EdU labeling and immunostaining of metabolic, portal, and central vein-specific markers revealed that hepatocyte proliferation after PHx initiates in the midlobular region before proceeding toward the periportal and pericentral areas. We further demonstrate that portal and central vein proximal hepatocytes retain their metabolically active state to preserve essential liver functions while midlobular cells proliferate nearby. Through combined analysis of gene regulatory networks and cell-cell interaction maps, we found that regenerating hepatocytes redeploy key developmental regulons, which are guided by extensive ligand-receptor-mediated signaling events between hepatocytes and nonparenchymal cells. Altogether, our study offers a detailed blueprint of the intercellular crosstalk and cellular reprogramming that balances the metabolic and proliferative requirements of a regenerating liver.
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Affiliation(s)
- Ullas V Chembazhi
- Department of Biochemistry, University of Illinois, Urbana, Illinois 61801, USA
| | - Sushant Bangru
- Department of Biochemistry, University of Illinois, Urbana, Illinois 61801, USA
- Cancer Center@Illinois, University of Illinois, Urbana, Illinois 61801, USA
| | - Mikel Hernaez
- Carl R. Woese Institute for Genomic Biology, University of Illinois, Urbana, Illinois 61801, USA
- Center for Applied Medical Research (CIMA), University of Navarra, Pamplona, 31008 Navarra, Spain
| | - Auinash Kalsotra
- Department of Biochemistry, University of Illinois, Urbana, Illinois 61801, USA
- Cancer Center@Illinois, University of Illinois, Urbana, Illinois 61801, USA
- Carl R. Woese Institute for Genomic Biology, University of Illinois, Urbana, Illinois 61801, USA
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29
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Chembazhi UV, Bangru S, Hernaez M, Kalsotra A. Cellular plasticity balances the metabolic and proliferation dynamics of a regenerating liver. Genome Res 2021; 31:576-591. [PMID: 33649154 PMCID: PMC8015853 DOI: 10.1101/gr.267013.120] [Citation(s) in RCA: 60] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2020] [Accepted: 02/02/2021] [Indexed: 02/06/2023]
Abstract
The adult liver has an exceptional ability to regenerate, but how it maintains its specialized functions during regeneration is unclear. Here, we used partial hepatectomy (PHx) in tandem with single-cell transcriptomics to track cellular transitions and heterogeneities of ∼22,000 liver cells through the initiation, progression, and termination phases of mouse liver regeneration. Our results uncovered that, following PHx, a subset of hepatocytes transiently reactivates an early-postnatal-like gene expression program to proliferate, while a distinct population of metabolically hyperactive cells appears to compensate for any temporary deficits in liver function. Cumulative EdU labeling and immunostaining of metabolic, portal, and central vein-specific markers revealed that hepatocyte proliferation after PHx initiates in the midlobular region before proceeding toward the periportal and pericentral areas. We further demonstrate that portal and central vein proximal hepatocytes retain their metabolically active state to preserve essential liver functions while midlobular cells proliferate nearby. Through combined analysis of gene regulatory networks and cell-cell interaction maps, we found that regenerating hepatocytes redeploy key developmental regulons, which are guided by extensive ligand-receptor-mediated signaling events between hepatocytes and nonparenchymal cells. Altogether, our study offers a detailed blueprint of the intercellular crosstalk and cellular reprogramming that balances the metabolic and proliferative requirements of a regenerating liver.
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Affiliation(s)
- Ullas V Chembazhi
- Department of Biochemistry, University of Illinois, Urbana, Illinois 61801, USA
| | - Sushant Bangru
- Department of Biochemistry, University of Illinois, Urbana, Illinois 61801, USA.,Cancer Center@Illinois, University of Illinois, Urbana, Illinois 61801, USA
| | - Mikel Hernaez
- Carl R. Woese Institute for Genomic Biology, University of Illinois, Urbana, Illinois 61801, USA.,Center for Applied Medical Research (CIMA), University of Navarra, Pamplona, 31008 Navarra, Spain
| | - Auinash Kalsotra
- Department of Biochemistry, University of Illinois, Urbana, Illinois 61801, USA.,Cancer Center@Illinois, University of Illinois, Urbana, Illinois 61801, USA.,Carl R. Woese Institute for Genomic Biology, University of Illinois, Urbana, Illinois 61801, USA
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30
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Neier K, Montrose L, Chen K, Malloy MA, Jones TR, Svoboda LK, Harris C, Song PXK, Pennathur S, Sartor MA, Dolinoy DC. Short- and long-term effects of perinatal phthalate exposures on metabolic pathways in the mouse liver. ENVIRONMENTAL EPIGENETICS 2020; 6:dvaa017. [PMID: 33391822 PMCID: PMC7757125 DOI: 10.1093/eep/dvaa017] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/19/2020] [Revised: 09/09/2020] [Accepted: 09/10/2020] [Indexed: 06/12/2023]
Abstract
Phthalates have been demonstrated to interfere with metabolism, presumably by interacting with peroxisome proliferator-activated receptors (PPARs). However, mechanisms linking developmental phthalate exposures to long-term metabolic effects have not yet been elucidated. We investigated the hypothesis that developmental phthalate exposure has long-lasting impacts on PPAR target gene expression and DNA methylation to influence hepatic metabolic profiles across the life course. We utilized an established longitudinal mouse model of perinatal exposures to diethylhexyl phthalate and diisononyl phthalate, and a mixture of diethylhexyl phthalate+diisononyl phthalate. Exposure was through the diet and spanned from 2 weeks before mating until weaning at postnatal day 21 (PND21). Liver tissue was analyzed from the offspring of exposed and control mice at PND21 and in another cohort of exposed and control mice at 10 months of age. RNA-seq and pathway enrichment analyses indicated that acetyl-CoA metabolic processes were altered in diisononyl phthalate-exposed female livers at both PND21 and 10 months (FDR = 0.0018). Within the pathway, all 13 significant genes were potential PPAR target genes. Promoter DNA methylation was altered at three candidate genes, but persistent effects were only observed for Fasn. Targeted metabolomics indicated that phthalate-exposed females had decreased acetyl-CoA at PND21 and increased acetyl-CoA and acylcarnitines at 10 months. Together, our data suggested that perinatal phthalate exposures were associated with short- and long-term activation of PPAR target genes, which manifested as increased fatty acid production in early postnatal life and increased fatty acid oxidation in adulthood. This presents a novel molecular pathway linking developmental phthalate exposures and metabolic health outcomes.
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Affiliation(s)
- Kari Neier
- Environmental Health Sciences, University of Michigan, Ann Arbor, 1415 Washington Heights 48109 MI, USA
| | - Luke Montrose
- Environmental Health Sciences, University of Michigan, Ann Arbor, 1415 Washington Heights 48109 MI, USA
| | - Kathleen Chen
- Environmental Health Sciences, University of Michigan, Ann Arbor, 1415 Washington Heights 48109 MI, USA
| | - Maureen A Malloy
- Environmental Health Sciences, University of Michigan, Ann Arbor, 1415 Washington Heights 48109 MI, USA
| | - Tamara R Jones
- Environmental Health Sciences, University of Michigan, Ann Arbor, 1415 Washington Heights 48109 MI, USA
| | - Laurie K Svoboda
- Environmental Health Sciences, University of Michigan, Ann Arbor, 1415 Washington Heights 48109 MI, USA
| | - Craig Harris
- Environmental Health Sciences, University of Michigan, Ann Arbor, 1415 Washington Heights 48109 MI, USA
| | - Peter X K Song
- Biostatistics, University of Michigan, Ann Arbor, 1415 Washington Heights 48109 MI, USA
| | - Subramaniam Pennathur
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, 1500 East Medical Center Drive 48109 MI, USA
- Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, 1137 E. Catherine St. 48109 MI, USA
| | - Maureen A Sartor
- Biostatistics, University of Michigan, Ann Arbor, 1415 Washington Heights 48109 MI, USA
- Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, 100 Washtenaw Avenue 48109 MI, USA
| | - Dana C Dolinoy
- Environmental Health Sciences, University of Michigan, Ann Arbor, 1415 Washington Heights 48109 MI, USA
- Nutritional Sciences, University of Michigan, Ann Arbor, 1415 Washington Heights 48109 MI, USA
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31
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Guan Y, Zhang C, Lyu G, Huang X, Zhang X, Zhuang T, Jia L, Zhang L, Zhang C, Li C, Tao W. Senescence-activated enhancer landscape orchestrates the senescence-associated secretory phenotype in murine fibroblasts. Nucleic Acids Res 2020; 48:10909-10923. [PMID: 33045748 PMCID: PMC7641768 DOI: 10.1093/nar/gkaa858] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2020] [Revised: 09/16/2020] [Accepted: 09/23/2020] [Indexed: 02/06/2023] Open
Abstract
The three-dimensional configuration of the chromatin architecture is known to be crucial for alterations in the transcriptional network; however, the underlying mechanisms of epigenetic control of senescence-related gene expression by modulating the chromatin architecture remain unknown. Here, we demonstrate frequent chromosomal compartment switching during mouse embryonic fibroblasts (MEFs) replicative senescence as characterized by senescence-inactivated (SIAEs) and -activated enhancers (SAEs) in topologically associated domains (TADs). Mechanistically, SAEs are closely correlated with senescence-associated secretory phenotype (SASP) genes, which are a key transcriptional feature of an aging microenvironment that contributes to tumor progression, aging acceleration, and immunoinflammatory responses. Moreover, SAEs can positively regulate robust changes in SASP expression. The transcription factor CCAAT/enhancer binding protein α (C/EBPα) is capable of enhancing SAE activity, which accelerates the emergence of SAEs flanking SASPs and the secretion of downstream factors, contributing to the progression of senescence. Our results provide novel insight into the TAD-related control of SASP gene expression by revealing hierarchical roles of the chromatin architecture, transcription factors, and enhancer activity in the regulation of cellular senescence.
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Affiliation(s)
- Yiting Guan
- Key Laboratory of Cell Proliferation and Differentiation, School of Life Sciences, Peking University, Beijing 100871, China.,Institute of Clinical Medicine, Zhanjiang Central Hospital, Guangdong Medical University, Zhanjiang 524000, China
| | - Chao Zhang
- Key Laboratory of Cell Proliferation and Differentiation, School of Life Sciences, Peking University, Beijing 100871, China.,Center for Bioinformatics, School of Life Sciences and Center for Statistical Science, Peking University, Beijing 100871, China
| | - Guoliang Lyu
- Key Laboratory of Cell Proliferation and Differentiation, School of Life Sciences, Peking University, Beijing 100871, China
| | - Xiaoke Huang
- Key Laboratory of Cell Proliferation and Differentiation, School of Life Sciences, Peking University, Beijing 100871, China
| | - Xuebin Zhang
- Key Laboratory of Cell Proliferation and Differentiation, School of Life Sciences, Peking University, Beijing 100871, China
| | - Tenghan Zhuang
- Key Laboratory of Cell Proliferation and Differentiation, School of Life Sciences, Peking University, Beijing 100871, China
| | - Lumeng Jia
- Center for Bioinformatics, School of Life Sciences and Center for Statistical Science, Peking University, Beijing 100871, China
| | - Lijun Zhang
- Key Laboratory of Cell Proliferation and Differentiation, School of Life Sciences, Peking University, Beijing 100871, China
| | - Chen Zhang
- China Department of Neurobiology, School of Basic Medical Sciences, Beijing Key Laboratory of Neural Regeneration and Repair, Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100069, China
| | - Cheng Li
- Center for Bioinformatics, School of Life Sciences and Center for Statistical Science, Peking University, Beijing 100871, China
| | - Wei Tao
- Key Laboratory of Cell Proliferation and Differentiation, School of Life Sciences, Peking University, Beijing 100871, China
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32
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Abbey D, Elwyn S, Hand NJ, Musunuru K, Rader DJ. Self-Organizing Human Induced Pluripotent Stem Cell Hepatocyte 3D Organoids Inform the Biology of the Pleiotropic TRIB1 Gene. Hepatol Commun 2020; 4:1316-1331. [PMID: 32923835 PMCID: PMC7471428 DOI: 10.1002/hep4.1538] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Revised: 04/23/2020] [Accepted: 05/04/2020] [Indexed: 12/13/2022] Open
Abstract
Establishment of a physiologically relevant human hepatocyte‐like cell system for in vitro translational research has been hampered by the limited availability of cell models that accurately reflect human biology and the pathophysiology of human disease. Here we report a robust, reproducible, and scalable protocol for the generation of hepatic organoids from human induced pluripotent stem cells (hiPSCs) using short exposure to nonengineered matrices. These hepatic organoids follow defined stages of hepatic development and express higher levels of early (hepatocyte nuclear factor 4A [HNF4A], prospero‐related homeobox 1 [PROX1]) and mature hepatic and metabolic markers (albumin, asialoglycoprotein receptor 1 [ASGR1], CCAAT/enhancer binding protein α [C/EBPα]) than two‐dimensional (2D) hepatocyte‐like cells (HLCs) at day 20 of differentiation. We used this model to explore the biology of the pleiotropic TRIB1 (Tribbles‐1) gene associated with a number of metabolic traits, including nonalcoholic fatty liver disease and plasma lipids. We used genome editing to delete the TRIB1 gene in hiPSCs and compared TRIB1‐deleted iPSC‐HLCs to isogenic iPSC‐HLCs under both 2D culture and three‐dimensional (3D) organoid conditions. Under conventional 2D culture conditions, TRIB1‐deficient HLCs showed maturation defects, with decreased expression of late‐stage hepatic and lipogenesis markers. In contrast, when cultured as 3D hepatic organoids, the differentiation defects were rescued, and a clear lipid‐related phenotype was noted in the TRIB1‐deficient induced pluripotent stem cell HLCs. Conclusion: This work supports the potential of genome‐edited hiPSC‐derived hepatic 3D organoids in exploring human hepatocyte biology, including the functional interrogation of genes identified through human genetic investigation.
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Affiliation(s)
- Deepti Abbey
- Department of Genetics, Perelman School of Medicine University of Pennsylvania Philadelphia PA.,Department of Translational Medicine and Human Genetics Perelman School of Medicine University of Pennsylvania Philadelphia PA.,Department of Medicine Perelman School of Medicine University of Pennsylvania Philadelphia PA
| | - Susannah Elwyn
- Department of Translational Medicine and Human Genetics Perelman School of Medicine University of Pennsylvania Philadelphia PA.,Department of Medicine Perelman School of Medicine University of Pennsylvania Philadelphia PA
| | - Nicholas J Hand
- Department of Genetics, Perelman School of Medicine University of Pennsylvania Philadelphia PA
| | - Kiran Musunuru
- Division of Cardiology and Cardiovascular Institute, Department of Medicine, Perelman School of Medicine University of Pennsylvania Philadelphia PA
| | - Daniel J Rader
- Department of Genetics, Perelman School of Medicine University of Pennsylvania Philadelphia PA.,Department of Translational Medicine and Human Genetics Perelman School of Medicine University of Pennsylvania Philadelphia PA.,Department of Medicine Perelman School of Medicine University of Pennsylvania Philadelphia PA.,Division of Cardiology and Cardiovascular Institute, Department of Medicine, Perelman School of Medicine University of Pennsylvania Philadelphia PA
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33
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Mahmoud SY, Svensson F, Zoufir A, Módos D, Afzal AM, Bender A. Understanding Conditional Associations between ToxCast in Vitro Readouts and the Hepatotoxicity of Compounds Using Rule-Based Methods. Chem Res Toxicol 2019; 33:137-153. [DOI: 10.1021/acs.chemrestox.8b00382] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Affiliation(s)
- Samar Y. Mahmoud
- Centre for Molecular Informatics, Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW, United Kingdom
| | - Fredrik Svensson
- Centre for Molecular Informatics, Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW, United Kingdom
| | - Azedine Zoufir
- Centre for Molecular Informatics, Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW, United Kingdom
| | - Dezső Módos
- Centre for Molecular Informatics, Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW, United Kingdom
| | - Avid M. Afzal
- Centre for Molecular Informatics, Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW, United Kingdom
| | - Andreas Bender
- Centre for Molecular Informatics, Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW, United Kingdom
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Hu Y, Zhong W, Chen M, Zhang Q. Identifying crucial genes for prognosis in septic patients: Gene integration study based on PRISMA guidelines. Medicine (Baltimore) 2019; 98:e16807. [PMID: 31415393 PMCID: PMC6831352 DOI: 10.1097/md.0000000000016807] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND Sepsis is a serious clinical condition with a poor prognosis, despite improvements in diagnosis and treatment.Therefore, novel biomarkers are necessary that can help with estimating prognosis and improving clinical outcomes of patients with sepsis. METHODS The gene expression profiles GSE54514 and GSE63042 were downloaded from the GEO database. DEGs were screened by t test after logarithmization of raw data; then, the common DEGs between the 2 gene expression profiles were identified by up-regulation and down-regulation intersection. The DEGs were analyzed using bioinformatics, and a protein-protein interaction (PPI) survival network was constructed using STRING. Survival curves were constructed to explore the relationship between core genes and the prognosis of sepsis patients based on GSE54514 data. RESULTS A total of 688 common DEGs were identified between survivors and non-survivors of sepsis, and 96 genes were involved in survival networks. The crucial genes Signal transducer and activator of transcription 5A (STAT5A), CCAAT/enhancer-binding protein beta (CEBPB), Myc proto-oncogene protein (MYC), and REL-associated protein (RELA) were identified and showed increased expression in sepsis survivors. These crucial genes had a positive correlation with patients' survival time according to the survival analysis. CONCLUSIONS Our findings indicate that the genes STAT5A, CEBPB, MYC, and RELA may be important in predicting the prognosis of sepsis patients.
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Affiliation(s)
| | | | | | - Qian Zhang
- Department of Infectious Diseases, The Affiliated Hospital of Southwest Medical University, Lu Zhou, Si Chuan, China
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35
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Sooklert K, Wongjarupong A, Cherdchom S, Wongjarupong N, Jindatip D, Phungnoi Y, Rojanathanes R, Sereemaspun A. Molecular and Morphological Evidence of Hepatotoxicity after Silver Nanoparticle Exposure: A Systematic Review, In Silico, and Ultrastructure Investigation. Toxicol Res 2019; 35:257-270. [PMID: 31341555 PMCID: PMC6629447 DOI: 10.5487/tr.2019.35.3.257] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2018] [Revised: 11/13/2018] [Accepted: 01/29/2019] [Indexed: 12/19/2022] Open
Abstract
Silver nanoparticles (AgNPs) have been widely used in a variety of applications in innovative development; consequently, people are more exposed to this particle. Growing concern about toxicity from AgNP exposure has attracted greater attention, while questions about nanosilver-responsive genes and consequences for human health remain unanswered. By considering early detection and prevention of nanotoxicology at the genetic level, this study aimed to identify 1) changes in gene expression levels that could be potential indicators for AgNP toxicity and 2) morphological phenotypes correlating to toxicity of HepG2 cells. To detect possible nanosilver-responsive genes in xenogenic targeted organs, a comprehensive systematic literature review of changes in gene expression in HepG2 cells after AgNP exposure and in silico method, connection up- and down-regulation expression analysis of microarrays (CU-DREAM), were performed. In addition, cells were extracted and processed for transmission electron microscopy to examine ultrastructural alterations. From the Gene Expression Omnibus (GEO) Series database, we selected genes that were up- and down-regulated in AgNPs, but not up- and down-regulated in silver ion exposed cells, as nanosilver-responsive genes. HepG2 cells in the AgNP-treated group showed distinct ultrastructural alterations. Our results suggested potential representative gene data after AgNPs exposure provide insight into assessment and prediction of toxicity from nanosilver exposure.
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Affiliation(s)
- Kanidta Sooklert
- Nanomedicine Research Unit, Department of Anatomy, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Asarn Wongjarupong
- Department of Orthopedics, Queen SavangVadhana Memorial Hospital, Sriracha, Chonburi, Thailand
| | - Sarocha Cherdchom
- Nanomedicine Research Unit, Department of Anatomy, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Nicha Wongjarupong
- Department of Physiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Depicha Jindatip
- Department of Anatomy, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Yupa Phungnoi
- Department of Biology, Faculty of Science and Technology, Nakhon Ratchasima Rajabhat University, Nakhorn Ratchasima, Thailand
| | - Rojrit Rojanathanes
- Department of Chemistry, Faculty of Science, Chulalongkorn University, Bangkok, Thailand
| | - Amornpun Sereemaspun
- Nanomedicine Research Unit, Department of Anatomy, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
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36
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Fernandez Garcia M, Moore CD, Schulz KN, Alberto O, Donague G, Harrison MM, Zhu H, Zaret KS. Structural Features of Transcription Factors Associating with Nucleosome Binding. Mol Cell 2019; 75:921-932.e6. [PMID: 31303471 DOI: 10.1016/j.molcel.2019.06.009] [Citation(s) in RCA: 131] [Impact Index Per Article: 21.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2019] [Revised: 05/01/2019] [Accepted: 06/07/2019] [Indexed: 10/26/2022]
Abstract
Fate-changing transcription factors (TFs) scan chromatin to initiate new genetic programs during cell differentiation and reprogramming. Yet the protein structure domains that allow TFs to target nucleosomal DNA remain unexplored. We screened diverse TFs for binding to nucleosomes containing motif-enriched sequences targeted by pioneer factors in vivo. FOXA1, OCT4, ASCL1/E12α, PU1, CEBPα, and ZELDA display a range of nucleosome binding affinities that correlate with their cell reprogramming potential. We further screened 593 full-length human TFs on protein microarrays against different nucleosome sequences, followed by confirmation in solution, to distinguish among factors that bound nucleosomes, such as the neuronal AP-2α/β/γ, versus factors that only bound free DNA. Structural comparisons of DNA binding domains revealed that efficient nucleosome binders use short anchoring α helices to bind DNA, whereas weak nucleosome binders use unstructured regions and/or β sheets. Thus, specific modes of DNA interaction allow nucleosome scanning that confers pioneer activity to transcription factors.
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Affiliation(s)
- Meilin Fernandez Garcia
- Biochemistry and Molecular Biophysics Graduate Group, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104-5157, USA
| | - Cedric D Moore
- Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Katharine N Schulz
- Department of Biomolecular Chemistry, School of Medicine and Public Health, University of Wisconsin Madison, Madison, WI 53706, USA
| | - Oscar Alberto
- Institute for Regenerative Medicine, Department of Cell and Developmental Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104-5157, USA
| | - Greg Donague
- Institute for Regenerative Medicine, Department of Cell and Developmental Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104-5157, USA
| | - Melissa M Harrison
- Department of Biomolecular Chemistry, School of Medicine and Public Health, University of Wisconsin Madison, Madison, WI 53706, USA
| | - Heng Zhu
- Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Kenneth S Zaret
- Institute for Regenerative Medicine, Department of Cell and Developmental Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104-5157, USA.
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37
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Wang S, Zhang C, Hasson D, Desai A, SenBanerjee S, Magnani E, Ukomadu C, Lujambio A, Bernstein E, Sadler KC. Epigenetic Compensation Promotes Liver Regeneration. Dev Cell 2019; 50:43-56.e6. [PMID: 31231040 PMCID: PMC6615735 DOI: 10.1016/j.devcel.2019.05.034] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2018] [Revised: 04/02/2019] [Accepted: 05/16/2019] [Indexed: 12/19/2022]
Abstract
Two major functions of the epigenome are to regulate gene expression and to suppress transposons. It is unclear how these functions are balanced during physiological challenges requiring tissue regeneration, where exquisite coordination of gene expression is essential. Transcriptomic analysis of seven time points following partial hepatectomy identified the epigenetic regulator UHRF1, which is essential for DNA methylation, as dynamically expressed during liver regeneration in mice. UHRF1 deletion in hepatocytes (Uhrf1HepKO) caused genome-wide DNA hypomethylation but, surprisingly, had no measurable effect on gene or transposon expression or liver homeostasis. Partial hepatectomy of Uhrf1HepKO livers resulted in early and sustained activation of proregenerative genes and enhanced liver regeneration. This was attributed to redistribution of H3K27me3 from promoters to transposons, effectively silencing them and, consequently, alleviating repression of liver regeneration genes, priming them for expression in Uhrf1HepKO livers. Thus, epigenetic compensation safeguards the genome against transposon activation, indirectly affecting gene regulation.
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Affiliation(s)
- Shuang Wang
- Department of Medicine/Division of Liver Diseases, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Chi Zhang
- Program in Biology, New York University Abu Dhabi, Abu Dhabi, P.O. Box 129188, United Arab Emirates
| | - Dan Hasson
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Anal Desai
- Division of Gastroenterology, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Sucharita SenBanerjee
- Division of Gastroenterology, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA; College of Arts and Sciences, Wentworth Institute of Technology, 504 Parker St., Boston, MA 02115, USA
| | - Elena Magnani
- Program in Biology, New York University Abu Dhabi, Abu Dhabi, P.O. Box 129188, United Arab Emirates
| | - Chinweike Ukomadu
- Division of Gastroenterology, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Amaia Lujambio
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Liver Cancer Program, Division of Liver Diseases, Department of Medicine, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Emily Bernstein
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Kirsten C Sadler
- Department of Medicine/Division of Liver Diseases, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Program in Biology, New York University Abu Dhabi, Abu Dhabi, P.O. Box 129188, United Arab Emirates.
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38
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Identification and Conservation Analysis of Cis-Regulatory Elements in Pig Liver. Genes (Basel) 2019; 10:genes10050348. [PMID: 31067820 PMCID: PMC6562536 DOI: 10.3390/genes10050348] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2019] [Revised: 04/29/2019] [Accepted: 05/01/2019] [Indexed: 01/02/2023] Open
Abstract
The liver plays a key role in metabolism and affects pig production. However, the functional annotation of noncoding regions of the pig liver remains poorly understood. We revealed the landscape of cis-regulatory elements and their functional characterization in pig liver. We identified 102,373 cis-regulatory elements in the pig liver, including enhancers, promoters, super-enhancers, and broad H3K4me3 domains, and highlighted 26 core transcription regulatory factors in the pig liver as well. We found similarity of cis-regulatory elements among those of pigs, humans, and cattle. Despite the low proportion of functionally conserved enhancers (~30%) between pig and human liver tissue, ~78% of the pig liver enhancer orthologues sequence could play an enhancer role in other human tissues. Additionally, we observed that the ratio of consistent super-enhancer-associated genes was significantly higher than the ratio of functionally conserved super-enhancers. Approximately 54% of the core regulation factors driven by super-enhancers were consistent across the liver from these three species. Our pig liver annotation and functional characterization studies provide a system and resource for noncoding annotation for future gene regulatory studies in pigs. Furthermore, our study also showed the high level functional conservation of cis-regulatory elements in mammals; it also improved our understanding of regulation function of mammal cis-regulatory elements.
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Zhao X, Reebye V, Hitchen P, Fan J, Jiang H, Sætrom P, Rossi J, Habib NA, Huang KW. Mechanisms involved in the activation of C/EBPα by small activating RNA in hepatocellular carcinoma. Oncogene 2019; 38:3446-3457. [PMID: 30643190 DOI: 10.1038/s41388-018-0665-6] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2017] [Revised: 12/05/2018] [Accepted: 12/07/2018] [Indexed: 12/26/2022]
Abstract
Hepatocellular carcinoma (HCC) is generally accompanied by high mortality and low cure rate. CCAAT enhancer-binding proteins (CEBPs) are transcriptional regulators that play a key role in maintaining liver function. Altered expression of C/EBPα and C/EBPβ occurs in many tumours including HCC. saRNAs are small double-stranded RNAs that enhance target gene expression at the transcriptional level. In this report, we activate CEPBA with saRNAs and suppress CEBPB with siRNAs in cells that represent three different degrees of HCC. We performed functional assays to investigate the effects of enhancing C/EBPα and its downstream targets, p21 and albumin across these lines. We also used Mass-spectrometry (MS) subsequent to a ChIP pull-down assay to characterise the components of the protein complex involved in regulating saRNA function. Putative saRNA interacting protein candidates that were identified by MS were knocked-down with siRNAs to investigate its impact on saRNA activity. We confirmed CEBPA-saRNA decreased proliferation and migration in the differentiated lines (HepG3/Hep3B). The undifferentiated line (PLCPRF5) showed saRNA-induced increase in CEBPA but with no loss in proliferation. This effect was reversed when CEBPB was suppressed with CEBPB-siRNA. When interrogating saRNA mode of action; three saRNA interacting proteins, CTR9, HnRNPA2/B1 and DDX5 were identified by MS. Targeted knock-down of these two proteins (by siRNA) abrogated saRNA activity. This study provides insight into how different HCC lines are affected by CEBPA-saRNAs and that endogenous abundance of CEBPB and saRNA accessory proteins may dictate efficacy of CEBPA-saRNA when used in a therapeutic context.
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Affiliation(s)
- Xiaoyang Zhao
- HPB Surgery Unit, Hammersmith Hospital, Department of Surgery and Cancer, Imperial College London, London, W12 0HS, UK
- Department of Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Department of General Surgery, the First Affiliated Hospital of Harbin Medical University, Harbin, 150001, China
| | - Vikash Reebye
- HPB Surgery Unit, Hammersmith Hospital, Department of Surgery and Cancer, Imperial College London, London, W12 0HS, UK
| | - Paul Hitchen
- Department of Life Sciences, Imperial College London, London, SW7 2AZ, UK
| | - Jia Fan
- Department of Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Hongchi Jiang
- Department of General Surgery, the First Affiliated Hospital of Harbin Medical University, Harbin, 150001, China
| | - Pål Sætrom
- Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, NO-7489, Trondheim, Norway
- Department of Computer Science, Norwegian University of Science and Technology, NO-7489, Trondheim, Norway
| | - John Rossi
- Division of Molecular Biology, Beckman Research Institute of City of Hope, Duarte, CA, 91010, USA
| | - Nagy A Habib
- HPB Surgery Unit, Hammersmith Hospital, Department of Surgery and Cancer, Imperial College London, London, W12 0HS, UK
| | - Kai-Wen Huang
- Department of Surgery and Hepatitis Research Center, National Taiwan University Hospital, Taipei, Taiwan.
- Graduate Institute of Clinical Medicine, National Taiwan University, Taipei, Taiwan.
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Lereau Bernier M, Poulain S, Tauran Y, Danoy M, Shinohara M, Kimura K, Segard BD, Kato S, Kido T, Miyajima A, Sakai Y, Plessy C, Leclerc É. Profiling of derived-hepatocyte progenitors from induced pluripotent stem cells using nanoCAGE promoter analysis. Biochem Eng J 2019. [DOI: 10.1016/j.bej.2018.11.001] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
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Aberrant enhancer hypomethylation contributes to hepatic carcinogenesis through global transcriptional reprogramming. Nat Commun 2019; 10:335. [PMID: 30659195 PMCID: PMC6338783 DOI: 10.1038/s41467-018-08245-z] [Citation(s) in RCA: 65] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2018] [Accepted: 12/21/2018] [Indexed: 12/22/2022] Open
Abstract
Hepatocellular carcinomas (HCC) exhibit distinct promoter hypermethylation patterns, but the epigenetic regulation and function of transcriptional enhancers remain unclear. Here, our affinity- and bisulfite-based whole-genome sequencing analyses reveal global enhancer hypomethylation in human HCCs. Integrative epigenomic characterization further pinpoints a recurrent hypomethylated enhancer of CCAAT/enhancer-binding protein-beta (C/EBPβ) which correlates with C/EBPβ over-expression and poorer prognosis of patients. Demethylation of C/EBPβ enhancer reactivates a self-reinforcing enhancer-target loop via direct transcriptional up-regulation of enhancer RNA. Conversely, deletion of this enhancer via CRISPR/Cas9 reduces C/EBPβ expression and its genome-wide co-occupancy with BRD4 at H3K27ac-marked enhancers and super-enhancers, leading to drastic suppression of driver oncogenes and HCC tumorigenicity. Hepatitis B X protein transgenic mouse model of HCC recapitulates this paradigm, as C/ebpβ enhancer hypomethylation associates with oncogenic activation in early tumorigenesis. These results support a causal link between aberrant enhancer hypomethylation and C/EBPβ over-expression, thereby contributing to hepatocarcinogenesis through global transcriptional reprogramming. There are distinct hypermethylation patterns in gene promoters in hepatocellular carcinomas (HCCs). Here, the authors show that the enhancer of C/EBPβ is recurrently hypomethylated in human HCCs, recapitulating this in a transgenic murine model and linking aberrant enhancer hypomethylation to hepatocarcinogenesis.
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Reverón-Gómez N, González-Aguilera C, Stewart-Morgan KR, Petryk N, Flury V, Graziano S, Johansen JV, Jakobsen JS, Alabert C, Groth A. Accurate Recycling of Parental Histones Reproduces the Histone Modification Landscape during DNA Replication. Mol Cell 2018; 72:239-249.e5. [PMID: 30146316 PMCID: PMC6202308 DOI: 10.1016/j.molcel.2018.08.010] [Citation(s) in RCA: 166] [Impact Index Per Article: 23.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2018] [Revised: 06/25/2018] [Accepted: 08/07/2018] [Indexed: 12/22/2022]
Abstract
Chromatin organization is disrupted genome-wide during DNA replication. On newly synthesized DNA, nucleosomes are assembled from new naive histones and old modified histones. It remains unknown whether the landscape of histone post-translational modifications (PTMs) is faithfully copied during DNA replication or the epigenome is perturbed. Here we develop chromatin occupancy after replication (ChOR-seq) to determine histone PTM occupancy immediately after DNA replication and across the cell cycle. We show that H3K4me3, H3K36me3, H3K79me3, and H3K27me3 positional information is reproduced with high accuracy on newly synthesized DNA through histone recycling. Quantitative ChOR-seq reveals that de novo methylation to restore H3K4me3 and H3K27me3 levels occurs across the cell cycle with mark- and locus-specific kinetics. Collectively, this demonstrates that accurate parental histone recycling preserves positional information and allows PTM transmission to daughter cells while modification of new histones gives rise to complex epigenome fluctuations across the cell cycle that could underlie cell-to-cell heterogeneity.
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Affiliation(s)
- Nazaret Reverón-Gómez
- Biotech Research and Innovation Centre (BRIC), University of Copenhagen, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark; The Novo Nordisk Center for Protein Research (CPR), University of Copenhagen, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Cristina González-Aguilera
- Biotech Research and Innovation Centre (BRIC), University of Copenhagen, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Kathleen R Stewart-Morgan
- Biotech Research and Innovation Centre (BRIC), University of Copenhagen, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark; The Novo Nordisk Center for Protein Research (CPR), University of Copenhagen, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Nataliya Petryk
- Biotech Research and Innovation Centre (BRIC), University of Copenhagen, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark; The Novo Nordisk Center for Protein Research (CPR), University of Copenhagen, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Valentin Flury
- Biotech Research and Innovation Centre (BRIC), University of Copenhagen, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark; The Novo Nordisk Center for Protein Research (CPR), University of Copenhagen, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Simona Graziano
- Biotech Research and Innovation Centre (BRIC), University of Copenhagen, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark; The Novo Nordisk Center for Protein Research (CPR), University of Copenhagen, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Jens Vilstrup Johansen
- Biotech Research and Innovation Centre (BRIC), University of Copenhagen, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Janus Schou Jakobsen
- Biotech Research and Innovation Centre (BRIC), University of Copenhagen, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Constance Alabert
- Biotech Research and Innovation Centre (BRIC), University of Copenhagen, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Anja Groth
- Biotech Research and Innovation Centre (BRIC), University of Copenhagen, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark; The Novo Nordisk Center for Protein Research (CPR), University of Copenhagen, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark.
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Chromosome 19 miRNA cluster and CEBPB expression specifically mark and potentially drive triple negative breast cancers. PLoS One 2018; 13:e0206008. [PMID: 30335837 PMCID: PMC6193703 DOI: 10.1371/journal.pone.0206008] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2018] [Accepted: 10/04/2018] [Indexed: 12/31/2022] Open
Abstract
Triple negative breast cancers (TNBCs) are known to express low PGR, ESR1, and ERBB2, and high KRT5, KRT14, and KRT17. However, the reasons behind the increased expressions of KRT5, KRT14, KRT17 and decreased expressions of PGR, ESR1, and ERBB2 in TNBCs are not fully understood. Here we show that, expression of chromosome 19 miRNA cluster (C19MC) specifically marks human TNBCs. Low REST and high CEBPB correlate with expression of C19MC, KRT5, KRT14, and KRT17 and enhancers of these genes/cluster are regulated by CEBPB and REST binding sites. The C19MC miRNAs in turn can potentially target REST to offer a positive feedback loop, and might target PGR, ESR1, ERBB2, GATA3, SCUBE2, TFF3 mRNAs to contribute towards TNBC phenotype. Thus our study demonstrates that C19MC miRNA expression marks TNBCs and that C19MC miRNAs and CEBPB might together determine the TNBC marker expression pattern.
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Rib L, Villeneuve D, Minocha S, Praz V, Hernandez N, Guex N, Herr W. Cycles of gene expression and genome response during mammalian tissue regeneration. Epigenetics Chromatin 2018; 11:52. [PMID: 30208973 PMCID: PMC6134763 DOI: 10.1186/s13072-018-0222-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2018] [Accepted: 09/03/2018] [Indexed: 02/07/2023] Open
Abstract
Background Compensatory liver hyperplasia—or regeneration—induced by two-thirds partial hepatectomy (PH) permits the study of synchronized activation of mammalian gene expression, particularly in relation to cell proliferation. Here, we measured genomic transcriptional responses and mRNA accumulation changes after PH and sham surgeries. Results During the first 10–20 h, the PH- and sham-surgery responses were very similar, including parallel early activation of cell-division-cycle genes. After 20 h, however, whereas post-PH livers continued with a robust and coordinate cell-division-cycle gene-expression response before returning to the resting state by 1 week, sham-surgery livers returned directly to a resting gene-expression state. Localization of RNA polymerase II (Pol II), and trimethylated histone H3 lysine 4 (H3K4me3) and 36 (H3K36me3) on genes dormant in the resting liver and activated during the PH response revealed a general de novo promoter Pol II recruitment and H3K4me3 increase during the early 10–20 h phase followed by Pol II elongation and H3K36me3 accumulation in gene bodies during the later proliferation phase. H3K36me3, generally appearing at the first internal exon, was preceded 5′ by H3K36me2; 3′ of the first internal exon, in about half of genes H3K36me3 predominated and in the other half H3K36me2 and H3K36me3 co-existed. Further, we observed some unusual gene profiles with abundant Pol II but little evident H3K4me3 or H3K36me3 modification, indicating that these modifications are neither universal nor essential partners to Pol II transcription. Conclusions PH and sham surgical procedures on mice reveal striking early post-operatory gene expression similarities followed by synchronized mRNA accumulation and epigenetic histone mark changes specific to PH. Electronic supplementary material The online version of this article (10.1186/s13072-018-0222-0) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Leonor Rib
- Center for Integrative Genomics, Génopode, University of Lausanne, 1015, Lausanne, Switzerland.,Swiss Institute of Bioinformatics, Génopode, University of Lausanne, 1015, Lausanne, Switzerland.,The Bioinformatics Center, Department of Biology and Biotech Research and Innovation Center, University of Copenhagen, 2200, Copenhagen, Denmark
| | - Dominic Villeneuve
- Center for Integrative Genomics, Génopode, University of Lausanne, 1015, Lausanne, Switzerland
| | - Shilpi Minocha
- Center for Integrative Genomics, Génopode, University of Lausanne, 1015, Lausanne, Switzerland
| | - Viviane Praz
- Center for Integrative Genomics, Génopode, University of Lausanne, 1015, Lausanne, Switzerland.,Swiss Institute of Bioinformatics, Génopode, University of Lausanne, 1015, Lausanne, Switzerland
| | - Nouria Hernandez
- Center for Integrative Genomics, Génopode, University of Lausanne, 1015, Lausanne, Switzerland
| | - Nicolas Guex
- Swiss Institute of Bioinformatics, Génopode, University of Lausanne, 1015, Lausanne, Switzerland.
| | - Winship Herr
- Center for Integrative Genomics, Génopode, University of Lausanne, 1015, Lausanne, Switzerland.
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Link VM, Romanoski CE, Metzler D, Glass CK. MMARGE: Motif Mutation Analysis for Regulatory Genomic Elements. Nucleic Acids Res 2018; 46:7006-7021. [PMID: 29893919 PMCID: PMC6101580 DOI: 10.1093/nar/gky491] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2018] [Revised: 05/14/2018] [Accepted: 05/22/2018] [Indexed: 12/21/2022] Open
Abstract
Cell-specific patterns of gene expression are determined by combinatorial actions of sequence-specific transcription factors at cis-regulatory elements. Studies indicate that relatively simple combinations of lineage-determining transcription factors (LDTFs) play dominant roles in the selection of enhancers that establish cell identities and functions. LDTFs require collaborative interactions with additional transcription factors to mediate enhancer function, but the identities of these factors are often unknown. We have shown that natural genetic variation between individuals has great utility for discovering collaborative transcription factors. Here, we introduce MMARGE (Motif Mutation Analysis of Regulatory Genomic Elements), the first publicly available suite of software tools that integrates genome-wide genetic variation with epigenetic data to identify collaborative transcription factor pairs. MMARGE is optimized to work with chromatin accessibility assays (such as ATAC-seq or DNase I hypersensitivity), as well as transcription factor binding data collected by ChIP-seq. Herein, we provide investigators with rationale for each step in the MMARGE pipeline and key differences for analysis of datasets with different experimental designs. We demonstrate the utility of MMARGE using mouse peritoneal macrophages, liver cells, and human lymphoblastoid cells. MMARGE provides a powerful tool to identify combinations of cell type-specific transcription factors while simultaneously interpreting functional effects of non-coding genetic variation.
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Affiliation(s)
- Verena M Link
- Department of Cellular and Molecular Medicine, University of California, San Diego, San Diego, USA
- Division of Evolutionary Biology, Faculty of Biology, Ludwig-Maximilian Universität München, Planegg-Martinsried, Germany
| | - Casey E Romanoski
- Department of Cellular and Molecular Medicine, University of Arizona, Tucson, USA
| | - Dirk Metzler
- Division of Evolutionary Biology, Faculty of Biology, Ludwig-Maximilian Universität München, Planegg-Martinsried, Germany
| | - Christopher K Glass
- Department of Cellular and Molecular Medicine, University of California, San Diego, San Diego, USA
- Department of Medicine, University of California, San Diego, San Diego, USA
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Yang M, Tao J, Wu H, Zhang L, Yao Y, Liu L, Zhu T, Fan H, Cui X, Dou H, Liu G. Responses of Transgenic Melatonin-Enriched Goats on LPS Stimulation and the Proteogenomic Profiles of Their PBMCs. Int J Mol Sci 2018; 19:ijms19082406. [PMID: 30111707 PMCID: PMC6121286 DOI: 10.3390/ijms19082406] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2018] [Revised: 08/04/2018] [Accepted: 08/10/2018] [Indexed: 01/13/2023] Open
Abstract
The anti-inflammatory activity of melatonin (MT) has been well documented; however, little is known regarding endogenously occurring MT in this respect, especially for large animals. In the current study, we created a MT-enriched animal model (goats) overexpressing the MT synthetase gene Aanat. The responses of these animals to lipopolysaccharide (LPS) stimulation were systematically studied. It was found that LPS treatment exacerbated the inflammatory response in wild-type (WT) goats and increased their temperature to 40 °C. In addition, their granulocyte counts were also significantly elevated. In contrast, these symptoms were not observed in transgenic goats with LPS treatment. The rescue study with MT injection into WT goats who were treated with LPS confirmed that the protective effects in transgenic goats against LPS were attributed to a high level of endogenously produced MT. The proteomic analysis in the peripheral blood mononuclear cells (PBMCs) isolated from the transgenic animals uncovered several potential mechanisms. MT suppressed the lysosome formation as well as its function by downregulation of the lysosome-associated genes Lysosome-associated membrane protein 2 (LAMP2), Insulin-like growth factor 2 receptor (IGF2R), and Arylsulfatase B (ARSB). A high level of MT enhanced the antioxidant capacity of these cells to reduce the cell apoptosis induced by the LPS. In addition, the results also uncovered previously unknown information that showed that MT may have protective effects on some human diseases, including tuberculosis, bladder cancer, and rheumatoid arthritis, by downregulation of these disease-associated genes. All these observations warranted further investigations.
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Affiliation(s)
- Minghui Yang
- National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding of the Ministry of Agriculture, Beijing Key Laboratory for Animal Genetic Improvement, College of Animal Science and Technology, China Agricultural University, Beijing 100000, China.
| | - Jingli Tao
- National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding of the Ministry of Agriculture, Beijing Key Laboratory for Animal Genetic Improvement, College of Animal Science and Technology, China Agricultural University, Beijing 100000, China.
| | - Hao Wu
- National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding of the Ministry of Agriculture, Beijing Key Laboratory for Animal Genetic Improvement, College of Animal Science and Technology, China Agricultural University, Beijing 100000, China.
| | - Lu Zhang
- National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding of the Ministry of Agriculture, Beijing Key Laboratory for Animal Genetic Improvement, College of Animal Science and Technology, China Agricultural University, Beijing 100000, China.
| | - Yujun Yao
- National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding of the Ministry of Agriculture, Beijing Key Laboratory for Animal Genetic Improvement, College of Animal Science and Technology, China Agricultural University, Beijing 100000, China.
| | - Lixi Liu
- National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding of the Ministry of Agriculture, Beijing Key Laboratory for Animal Genetic Improvement, College of Animal Science and Technology, China Agricultural University, Beijing 100000, China.
| | - Tianqi Zhu
- National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding of the Ministry of Agriculture, Beijing Key Laboratory for Animal Genetic Improvement, College of Animal Science and Technology, China Agricultural University, Beijing 100000, China.
| | - Hao Fan
- National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding of the Ministry of Agriculture, Beijing Key Laboratory for Animal Genetic Improvement, College of Animal Science and Technology, China Agricultural University, Beijing 100000, China.
| | - Xudai Cui
- Qingdao Sanuels Industrial & Commercial Co., Ltd., Qingdao 266000, China.
| | - Haoran Dou
- Qingdao Sanuels Industrial & Commercial Co., Ltd., Qingdao 266000, China.
| | - Guoshi Liu
- National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding of the Ministry of Agriculture, Beijing Key Laboratory for Animal Genetic Improvement, College of Animal Science and Technology, China Agricultural University, Beijing 100000, China.
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Transcription factor profiling reveals molecular choreography and key regulators of human retrotransposon expression. Proc Natl Acad Sci U S A 2018; 115:E5526-E5535. [PMID: 29802231 PMCID: PMC6004460 DOI: 10.1073/pnas.1722565115] [Citation(s) in RCA: 61] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Transposable elements (TEs) represent a substantial fraction of many eukaryotic genomes, and transcriptional regulation of these factors is important to determine TE activities in human cells. However, due to the repetitive nature of TEs, identifying transcription factor (TF)-binding sites from ChIP-sequencing (ChIP-seq) datasets is challenging. Current algorithms are focused on subtle differences between TE copies and thus bias the analysis to relatively old and inactive TEs. Here we describe an approach termed "MapRRCon" (mapping repeat reads to a consensus) which allows us to identify proteins binding to TE DNA sequences by mapping ChIP-seq reads to the TE consensus sequence after whole-genome alignment. Although this method does not assign binding sites to individual insertions in the genome, it provides a landscape of interacting TFs by capturing factors that bind to TEs under various conditions. We applied this method to screen TFs' interaction with L1 in human cells/tissues using ENCODE ChIP-seq datasets and identified 178 of the 512 TFs tested as bound to L1 in at least one biological condition with most of them (138) localized to the promoter. Among these L1-binding factors, we focused on Myc and CTCF, as they play important roles in cancer progression and 3D chromatin structure formation. Furthermore, we explored the transcriptomes of The Cancer Genome Atlas breast and ovarian tumor samples in which a consistent anti-/correlation between L1 and Myc/CTCF expression was observed, suggesting that these two factors may play roles in regulating L1 transcription during the development of such tumors.
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Gao Z, Ruan J. Computational modeling of in vivo and in vitro protein-DNA interactions by multiple instance learning. Bioinformatics 2018; 33:2097-2105. [PMID: 28334224 DOI: 10.1093/bioinformatics/btx115] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2016] [Accepted: 02/27/2017] [Indexed: 12/25/2022] Open
Abstract
Motivation The study of transcriptional regulation is still difficult yet fundamental in molecular biology research. While the development of both in vivo and in vitro profiling techniques have significantly enhanced our knowledge of transcription factor (TF)-DNA interactions, computational models of TF-DNA interactions are relatively simple and may not reveal sufficient biological insight. In particular, supervised learning based models for TF-DNA interactions attempt to map sequence-level features ( k -mers) to binding event but usually ignore the location of k -mers, which can cause data fragmentation and consequently inferior model performance. Results Here, we propose a novel algorithm based on the so-called multiple-instance learning (MIL) paradigm. MIL breaks each DNA sequence into multiple overlapping subsequences and models each subsequence separately, therefore implicitly takes into consideration binding site locations, resulting in both higher accuracy and better interpretability of the models. The result from both in vivo and in vitro TF-DNA interaction data show that our approach significantly outperform conventional single-instance learning based algorithms. Importantly, the models learned from in vitro data using our approach can predict in vivo binding with very good accuracy. In addition, the location information obtained by our method provides additional insight for motif finding results from ChIP-Seq data. Finally, our approach can be easily combined with other state-of-the-art TF-DNA interaction modeling methods. Availability and Implementation http://www.cs.utsa.edu/∼jruan/MIL/. Contact jianhua.ruan@utsa.edu. Supplementary information Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Zhen Gao
- Department of Computer Science, University of Texas at San Antonio, San Antonio, TX, USA
| | - Jianhua Ruan
- Department of Computer Science, University of Texas at San Antonio, San Antonio, TX, USA
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Jung HJ, Raghuram V, Lee JW, Knepper MA. Genome-Wide Mapping of DNA Accessibility and Binding Sites for CREB and C/EBP β in Vasopressin-Sensitive Collecting Duct Cells. J Am Soc Nephrol 2018; 29:1490-1500. [PMID: 29572403 DOI: 10.1681/asn.2017050545] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2017] [Accepted: 02/18/2018] [Indexed: 11/03/2022] Open
Abstract
Background Renal water excretion is controlled by vasopressin, in part through regulation of the transcription of the aquaporin-2 gene (Aqp2).Methods To identify enhancer regions likely to be involved in the regulation of Aqp2 and other principal cell-specific genes, we used several next generation DNA-sequencing techniques in a well characterized cultured cell model of collecting duct principal cells (mpkCCD). To locate enhancers, we performed the assay for transposase-accessible chromatin using sequencing (ATAC-Seq) to identify accessible regions of DNA and integrated the data with data generated by chromatin immunoprecipitation followed by next generation DNA-sequencing (ChIP-Seq) for CCCTC binding factor (CTCF) binding, histone H3 lysine-27 acetylation, and RNA polymerase II.Results We identified two high-probability enhancers centered 81 kb upstream and 5.8 kb downstream from the Aqp2 transcriptional start site. Motif analysis of these regions and the Aqp2 promoter identified several potential transcription factor binding sites, including sites for two b-ZIP transcription factors: CCAAT/enhancer binding protein-β (C/EBPβ) and cAMP-responsive element binding protein (CREB). To identify genomic binding sites for both, we conducted ChIP-Seq using well characterized antibodies. In the presence of vasopressin, C/EBPβ, a pioneer transcription factor critical to cell-specific gene expression, bound strongly at the identified enhancer downstream from Aqp2 However, over multiple replicates, we found no detectable CREB binding sites within 390 kb of Aqp2 Thus, any role for CREB in the regulation of Aqp2 gene transcription is likely to be indirect.Conclusions The analysis identified two enhancer regions pertinent to transcriptional regulation of the Aqp2 gene and showed C/EBPβ (but not CREB) binding.
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Affiliation(s)
- Hyun Jun Jung
- Epithelial Systems Biology Laboratory, Systems Biology Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland; and
| | - Viswanathan Raghuram
- Epithelial Systems Biology Laboratory, Systems Biology Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland; and
| | - Jae Wook Lee
- National Cancer Center, Goyang, Gyeonggi-do, Republic of Korea
| | - Mark A Knepper
- Epithelial Systems Biology Laboratory, Systems Biology Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland; and
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Suzuki T, Maeda S, Furuhata E, Shimizu Y, Nishimura H, Kishima M, Suzuki H. A screening system to identify transcription factors that induce binding site-directed DNA demethylation. Epigenetics Chromatin 2017; 10:60. [PMID: 29221486 PMCID: PMC5723091 DOI: 10.1186/s13072-017-0169-6] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2017] [Accepted: 12/04/2017] [Indexed: 01/02/2023] Open
Abstract
Background DNA methylation is a fundamental epigenetic modification that is involved in many biological systems such as differentiation and disease. We and others recently showed that some transcription factors (TFs) are involved in the site-specific determination of DNA demethylation in a binding site-directed manner, although the reports of such TFs are limited. Results Here, we develop a screening system to identify TFs that induce binding site-directed DNA methylation changes. The system involves the ectopic expression of target TFs in model cells followed by DNA methylome analysis and overrepresentation analysis of the corresponding TF binding motif at differentially methylated regions. It successfully identified binding site-directed demethylation of SPI1, which is known to promote DNA demethylation in a binding site-directed manner. We extended our screening system to 15 master TFs involved in cellular differentiation and identified eight novel binding site-directed DNA demethylation-inducing TFs (RUNX3, GATA2, CEBPB, MAFB, NR4A2, MYOD1, CEBPA, and TBX5). Gene ontology and tissue enrichment analysis revealed that these TFs demethylate genomic regions associated with corresponding biological roles. We also describe the characteristics of binding site-directed DNA demethylation induced by these TFs, including the targeting of highly methylated CpGs, local DNA demethylation, and the overlap of demethylated regions between TFs of the same family. Conclusions Our results show the usefulness of the developed screening system for the identification of TFs that induce DNA demethylation in a site-directed manner. Electronic supplementary material The online version of this article (10.1186/s13072-017-0169-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Takahiro Suzuki
- Division of Genomic Technologies, RIKEN Center for Life Science Technologies (CLST), RIKEN Yokohama Campus, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan.,Graduate School of Medical Life Science, Yokohama City University, 1-7-29 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
| | - Shiori Maeda
- Division of Genomic Technologies, RIKEN Center for Life Science Technologies (CLST), RIKEN Yokohama Campus, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
| | - Erina Furuhata
- Division of Genomic Technologies, RIKEN Center for Life Science Technologies (CLST), RIKEN Yokohama Campus, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
| | - Yuri Shimizu
- Division of Genomic Technologies, RIKEN Center for Life Science Technologies (CLST), RIKEN Yokohama Campus, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
| | - Hajime Nishimura
- Division of Genomic Technologies, RIKEN Center for Life Science Technologies (CLST), RIKEN Yokohama Campus, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
| | - Mami Kishima
- Division of Genomic Technologies, RIKEN Center for Life Science Technologies (CLST), RIKEN Yokohama Campus, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan
| | - Harukazu Suzuki
- Division of Genomic Technologies, RIKEN Center for Life Science Technologies (CLST), RIKEN Yokohama Campus, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan.
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