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Mekkaoui F, Drewell RA, Dresch JM, Spratt DE. Experimental approaches to investigate biophysical interactions between homeodomain transcription factors and DNA. BIOCHIMICA ET BIOPHYSICA ACTA. GENE REGULATORY MECHANISMS 2025; 1868:195074. [PMID: 39644990 PMCID: PMC11832328 DOI: 10.1016/j.bbagrm.2024.195074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2024] [Revised: 11/26/2024] [Accepted: 12/01/2024] [Indexed: 12/09/2024]
Abstract
Homeodomain transcription factors (TFs) bind to specific DNA sequences to regulate the expression of target genes. Structural work has provided insight into molecular identities and aided in unraveling structural features of these TFs. However, the detailed affinity and specificity by which these TFs bind to DNA sequences is still largely unknown. Qualitative methods, such as DNA footprinting, Electrophoretic Mobility Shift Assays (EMSAs), Systematic Evolution of Ligands by Exponential Enrichment (SELEX), Bacterial One Hybrid (B1H) systems, Surface Plasmon Resonance (SPR), and Protein Binding Microarrays (PBMs) have been widely used to investigate the biochemical characteristics of TF-DNA binding events. In addition to these qualitative methods, bioinformatic approaches have also assisted in TF binding site discovery. Here we discuss the advantages and limitations of these different approaches, as well as the benefits of utilizing more quantitative approaches, such as Mechanically Induced Trapping of Molecular Interactions (MITOMI), Microscale Thermophoresis (MST) and Isothermal Titration Calorimetry (ITC), in determining the biophysical basis of binding specificity of TF-DNA complexes and improving upon existing computational approaches aimed at affinity predictions.
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Affiliation(s)
- Fadwa Mekkaoui
- Gustaf H. Carlson School of Chemistry and Biochemistry, Clark University, 950 Main Street, Worcester, MA 01610, United States of America
| | - Robert A Drewell
- Biology Department, Clark University, 950 Main Street, Worcester, MA 01610, United States of America
| | - Jacqueline M Dresch
- Biology Department, Clark University, 950 Main Street, Worcester, MA 01610, United States of America
| | - Donald E Spratt
- Gustaf H. Carlson School of Chemistry and Biochemistry, Clark University, 950 Main Street, Worcester, MA 01610, United States of America.
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2
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Zhang H, Duan J, Han L, Alam N, Ray M, Yang F, Jiang Y, Ewart S, Holloway JW, Karmaus W, Wang SL, Arshad SH. DNA methylation at birth and IgE trajectories from birth to adolescence, different patterns between White and Asian. Epigenomics 2025; 17:213-222. [PMID: 39825623 PMCID: PMC11853557 DOI: 10.1080/17501911.2025.2453412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2024] [Accepted: 01/10/2025] [Indexed: 01/20/2025] Open
Abstract
AIM We aim to assess association of DNA methylation (DNAm) at birth with total immunoglobulin E (IgE) trajectories from birth to late adolescence and whether such association is ethnicity-specific. METHODS We examined the association of total IgE trajectories from birth to late adolescence with DNAm at birth in two independent birth cohorts, the Isle of wight birth cohort (IOWBC) in UK (n = 796; White) and the maternal and infant cohort study (MICS) in Taiwan (n = 60; Asian). Biological pathways and methylation quantitative trait loci (methQTL) for associated Cytosine-phosphate-Guanine sites were studied. RESULTS Two total IgE trajectories, high vs. low, were inferred from each of the two cohorts. Associations of DNAm at 103 CpGs with IgE trajectories in IOWBC and at 476 CpGs in MICS were identified. Between the two cohorts, of the identified CpGs, one was in common, methQTL site cg16711274 (mapped to gene MINAR1), and 17 pathways were common with at least four linked to airway diseases. CONCLUSION The findings suggest at-birth epigenetics may explain ethnicity differences in total IgE trajectories later in life.
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Affiliation(s)
- Hongmei Zhang
- Division of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, University of Memphis, Memphis, TN, USA
| | - Jiasong Duan
- Department of Statistics, University of South Carolina, Columbia, SC, USA
| | - Luhang Han
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Naznin Alam
- Division of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, University of Memphis, Memphis, TN, USA
| | - Meredith Ray
- Division of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, University of Memphis, Memphis, TN, USA
| | - Fen Yang
- Division of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, University of Memphis, Memphis, TN, USA
| | - Yu Jiang
- Division of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, University of Memphis, Memphis, TN, USA
| | - Susan Ewart
- Department of Large Animal Clinical Sciences, College of Veterinary Medicine, Michigan State University, East Lansing, MI, USA
| | - John W. Holloway
- Human Development & Health, Faculty of Medicine, University of Southampton, Southampton, UK, USA
- NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Wilfried Karmaus
- Division of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, University of Memphis, Memphis, TN, USA
| | - Shu-Li Wang
- National Institute of Environmental Health Sciences, Taiwan
| | - S. Hasan Arshad
- NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, Southampton, UK
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
- The David Hide Asthma and Allergy, Research Center, Isle of Wight, UK
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3
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Terrell JR, Poon GMK. Coupled Heterogeneity to Dimeric Site-Specific Binding by the POU-Family Transcription Factor OCT2. J Phys Chem B 2025; 129:2138-2148. [PMID: 39960871 DOI: 10.1021/acs.jpcb.4c07071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/28/2025]
Abstract
POU-family transcription factors regulate metazoan gene expression via a bipartite DNA-binding domain consisting of two covalently linked helix-turn-helix subdomains, POUS and POUH. POU factors bind as dimers to DNA half-sites to form complexes with a variable quaternary structure. To enhance the knowledge of the physical chemistry of dimeric POU/DNA recognition, we carried out a crystallographic and titration analysis of the cooperative homodimer formed by the POU factor OCT2 and an optimized palindromic DNA site known as MORE. The data evidence strong heterogeneity in the binding and formation of secondary complexes in site-specific DNA recognition by OCT2 at thermodynamic equilibrium. These secondary complexes are strictly contingent to the site-specific complex, detectable at subsaturating OCT2 concentrations, and cooperate with nonspecific binding to guide the affinity of the site-specific complex. Modulation with salt and poly[d(I-C)] unmasks the compensation between nonspecific DNA depleting unbound OCT2 on the one hand while driving specific binding by intermolecular transfer of OCT2 via secondary complexes on the other. Molecular dynamics simulations extend a mechanism, previously proposed for POU monomers, in which the two subdomains dynamically cross-link DNA strands to form supramolecular dimeric POU/DNA complexes at equilibrium.
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Affiliation(s)
- J Ross Terrell
- Department of Chemistry, Georgia State University, Atlanta, Georgia 30303, United States
| | - Gregory M K Poon
- Department of Chemistry, Georgia State University, Atlanta, Georgia 30303, United States
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4
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Palczewski MB, Kuschman HP, Hoffman BM, Kathiresan V, Yang H, Glynn SA, Wilson DL, Kool ET, Montfort WR, Chang J, Petenkaya A, Chronis C, Cundari TR, Sappa S, Islam K, McVicar DW, Fan Y, Chen Q, Meerzaman D, Sierk M, Thomas DD. Nitric oxide inhibits ten-eleven translocation DNA demethylases to regulate 5mC and 5hmC across the genome. Nat Commun 2025; 16:1732. [PMID: 39966373 PMCID: PMC11836389 DOI: 10.1038/s41467-025-56928-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Accepted: 02/05/2025] [Indexed: 02/20/2025] Open
Abstract
DNA methylation at cytosine bases (5-methylcytosine, 5mC) is a heritable epigenetic mark regulating gene expression. While enzymes that metabolize 5mC are well-characterized, endogenous signaling molecules that regulate DNA methylation machinery have not been described. We report that physiological nitric oxide (NO) concentrations reversibly inhibit the DNA demethylases TET and ALKBH2 by binding to the mononuclear non-heme iron atom forming a dinitrosyliron complex (DNIC) and preventing cosubstrates from binding. In cancer cells treated with exogenous NO, or endogenously synthesizing NO, 5mC and 5-hydroxymethylcytosine (5hmC) increase, with no changes in DNA methyltransferase activity. 5mC is also significantly increased in NO-producing patient-derived xenograft tumors from mice. Genome-wide methylome analysis of cells chronically treated with NO (10 days) shows enrichment of 5mC and 5hmC at gene-regulatory loci, correlating with altered expression of NO-regulated tumor-associated genes. Regulation of DNA methylation is distinctly different from canonical NO signaling and represents a unique epigenetic role for NO.
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Affiliation(s)
- Marianne B Palczewski
- Department of Pharmaceutical Sciences, University of Illinois Chicago, College of Pharmacy, Chicago, IL, USA
| | - Hannah Petraitis Kuschman
- Department of Pharmaceutical Sciences, University of Illinois Chicago, College of Pharmacy, Chicago, IL, USA
| | - Brian M Hoffman
- Department of Chemistry, Weinberg College of Arts and Sciences, Northwestern University, Evanston, IL, USA
| | - Venkatesan Kathiresan
- Department of Chemistry, Weinberg College of Arts and Sciences, Northwestern University, Evanston, IL, USA
| | - Hao Yang
- Department of Chemistry, Weinberg College of Arts and Sciences, Northwestern University, Evanston, IL, USA
| | - Sharon A Glynn
- Discipline of Pathology, University of Galway, College of Medicine, Nursing and Health Sciences, School of Medicine, Galway, Ireland
| | - David L Wilson
- Department of Chemistry, Stanford University, School of Humanities and Sciences, Stanford, CA, USA
| | - Eric T Kool
- Department of Chemistry, Stanford University, School of Humanities and Sciences, Stanford, CA, USA
| | - William R Montfort
- Department of Chemistry and Biochemistry, University of Arizona, Tucson, AZ, USA
| | - Jenny Chang
- Dr. Mary and Neal Cancer Center at Houston Methodist, Weill Cornell Medical College, Houston, NY, USA
| | - Aydolun Petenkaya
- Department of Biomedical Engineering, University of Illinois Chicago, College of Engineering, Chicago, IL, USA
| | - Constantinos Chronis
- Department of Biochemistry and Molecular Genetics, University of Illinois Chicago, College of Medicine, Chicago, IL, USA
| | - Thomas R Cundari
- Department of Chemistry, University of North Texas, Denton, TX, USA
| | - Sushma Sappa
- Department of Chemistry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Kabirul Islam
- Department of Chemistry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Daniel W McVicar
- Cancer Innovation Laboratory, National Cancer Institute, Center for Cancer Research, Frederick, MD, USA
| | - Yu Fan
- National Cancer Institute, Center for Biomedical Informatics and Information Technology, Bethesda, USA
| | - Qingrong Chen
- National Cancer Institute, Center for Biomedical Informatics and Information Technology, Bethesda, USA
| | - Daoud Meerzaman
- Cancer Innovation Laboratory, National Cancer Institute, Center for Cancer Research, Frederick, MD, USA
| | - Michael Sierk
- Cancer Innovation Laboratory, National Cancer Institute, Center for Cancer Research, Frederick, MD, USA
| | - Douglas D Thomas
- Department of Pharmaceutical Sciences, University of Illinois Chicago, College of Pharmacy, Chicago, IL, USA.
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5
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Wang C, Li J, Chen J, Wang Z, Zhu G, Song L, Wu J, Li C, Qiu R, Chen X, Zhang L, Li W. Multi-omics analyses reveal biological and clinical insights in recurrent stage I non-small cell lung cancer. Nat Commun 2025; 16:1477. [PMID: 39929832 PMCID: PMC11811181 DOI: 10.1038/s41467-024-55068-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 11/26/2024] [Indexed: 02/13/2025] Open
Abstract
Post-operative recurrence rates of stage I non-small cell lung cancer (NSCLC) range from 20% to 40%. Nonetheless, the molecular mechanisms underlying recurrence hitherto remain largely elusive. Here, we generate genomic, epigenomic and transcriptomic profiles of paired tumors and adjacent tissues from 122 stage I NSCLC patients, among which 57 patients develop recurrence after surgery during follow-up. Integrated analyses illustrate that the presence of predominantly solid or micropapillary histological subtypes, increased genomic instability, and APOBEC-related signature are associated with recurrence. Furthermore, TP53 missense mutation in DNA-binding domain could contribute to shorter time to recurrence. DNA hypomethylation is pronounced in recurrent NSCLC, and PRAME is the significantly hypomethylated and overexpressed gene in recurrent lung adenocarcinoma (LUAD). Mechanistically, hypomethylation at TEAD1 binding site facilitates the transcriptional activation of PRAME. Inhibition of PRAME restrains the tumor metastasis via downregulation of epithelial-mesenchymal transition-related genes. We also identify that enrichment of AT2 cells with higher copy number variation burden, exhausted CD8 + T cells and Macro_SPP1, along with the reduced interaction between AT2 and immune cells, is essential for the formation of ecosystem in recurrent LUAD. Finally, multi-omics clustering could stratify the NSCLC patients into 4 subclusters with varying recurrence risk and subcluster-specific therapeutic vulnerabilities. Collectively, this study constitutes a promising resource enabling insights into the biological mechanisms and clinical management for post-operative recurrence of stage I NSCLC.
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Affiliation(s)
- Chengdi Wang
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
- Laboratory of Precision Therapeutics, Targeted Tracer Research and Development Laboratory, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
| | - Jingwei Li
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Laboratory of Precision Therapeutics, Targeted Tracer Research and Development Laboratory, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jingyao Chen
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Laboratory of Precision Therapeutics, Targeted Tracer Research and Development Laboratory, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Zhoufeng Wang
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Laboratory of Precision Therapeutics, Targeted Tracer Research and Development Laboratory, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Guonian Zhu
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Laboratory of Precision Therapeutics, Targeted Tracer Research and Development Laboratory, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Lujia Song
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Laboratory of Precision Therapeutics, Targeted Tracer Research and Development Laboratory, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jiayang Wu
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Laboratory of Precision Therapeutics, Targeted Tracer Research and Development Laboratory, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Changshu Li
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Laboratory of Precision Therapeutics, Targeted Tracer Research and Development Laboratory, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Rong Qiu
- Department of Respiratory and Critical Care Medicine, Suining Central Hospital, Suining, China
| | - Xuelan Chen
- State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Chengdu, Sichuan, China
| | - Li Zhang
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
- Laboratory of Precision Therapeutics, Targeted Tracer Research and Development Laboratory, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
| | - Weimin Li
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
- Laboratory of Precision Therapeutics, Targeted Tracer Research and Development Laboratory, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
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Lea G, Doria-Borrell P, Ferrero-Micó A, Varma A, Simon C, Anderson H, Biggins L, De Clercq K, Andrews S, Niakan KK, Gahurova L, McGovern N, Pérez-García V, Hanna CW. Ectopic expression of DNMT3L in human trophoblast stem cells restores features of the placental methylome. Cell Stem Cell 2025; 32:276-292.e9. [PMID: 39788122 DOI: 10.1016/j.stem.2024.12.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2024] [Revised: 10/07/2024] [Accepted: 12/16/2024] [Indexed: 01/12/2025]
Abstract
The placental DNA methylation landscape is unique, with widespread partially methylated domains (PMDs). The placental "methylome" is conserved across mammals, a shared feature of many cancers, and extensively studied for links with pregnancy complications. Human trophoblast stem cells (hTSCs) offer exciting potential for functional studies to better understand this epigenetic feature; however, whether the hTSC epigenome recapitulates primary trophoblast remains unclear. We find that hTSCs exhibit an atypical methylome compared with trophectoderm and 1st trimester cytotrophoblast. Regardless of cell origin, oxygen levels, or culture conditions, hTSCs show localized DNA methylation within transcribed gene bodies and a complete loss of PMDs. Unlike early human trophoblasts, hTSCs display a notable absence of DNMT3L expression, which is necessary for PMD establishment in mouse trophoblasts. Remarkably, we demonstrate that ectopic expression of DNMT3L in hTSCs restores placental PMDs, supporting a conserved role for DNMT3L in de novo methylation in trophoblast development in human embryogenesis.
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Affiliation(s)
- Georgia Lea
- Loke Centre for Trophoblast Research, University of Cambridge, Cambridge, UK; Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
| | | | | | - Anakha Varma
- Loke Centre for Trophoblast Research, University of Cambridge, Cambridge, UK; Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
| | - Claire Simon
- Loke Centre for Trophoblast Research, University of Cambridge, Cambridge, UK; Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
| | - Holly Anderson
- Loke Centre for Trophoblast Research, University of Cambridge, Cambridge, UK; Department of Pathology, University of Cambridge, Cambridge, UK
| | - Laura Biggins
- Babraham Bioinformatics, Babraham Institute, Cambridge, UK
| | | | - Simon Andrews
- Babraham Bioinformatics, Babraham Institute, Cambridge, UK
| | - Kathy K Niakan
- Loke Centre for Trophoblast Research, University of Cambridge, Cambridge, UK; Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
| | - Lenka Gahurova
- Faculty of Science, University of South Bohemia, České Budějovice, Czech Republic
| | - Naomi McGovern
- Loke Centre for Trophoblast Research, University of Cambridge, Cambridge, UK; Department of Pathology, University of Cambridge, Cambridge, UK
| | - Vicente Pérez-García
- Centro de Investigación Príncipe Felipe, Valencia, Spain; Centro de Biología Molecular Severo Ochoa, CSIC-UAM, Madrid, Spain.
| | - Courtney W Hanna
- Loke Centre for Trophoblast Research, University of Cambridge, Cambridge, UK; Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK.
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Khambata K, Raut S, Parte P, Balasinor NH. Estrogen Receptor Signaling Alters Sperm DNA Methylation Landscape in Adult Male Rats. Endocrinology 2025; 166:bqaf017. [PMID: 39865879 DOI: 10.1210/endocr/bqaf017] [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: 10/04/2024] [Revised: 12/19/2024] [Accepted: 01/22/2025] [Indexed: 01/28/2025]
Abstract
Estrogen through its receptors, ERα and ERβ, regulate various aspects of spermatogenesis and male fertility. Because the sperm epigenome is an important contributing factor to male fertility, we evaluated the effects of estrogen signaling activation through the ERs on sperm DNA methylome in adult rats. Whole genome-bisulfite sequencing in caudal sperm DNA was performed. The differentially methylated CpG (DMC) sites were validated by pyrosequencing, and the expression of differentially methylated genes (DMGs) was evaluated in testis by quantitative RT-PCR. Activation of ERα signaling brought about large-scale changes in the sperm DNA methylome compared to ERβ. There were 28074 DMCs and 5189 DMGs obtained after ERα agonist 4,4',4''-(4-Propyl-[1H] pyrazole-1,3,5-triyl) (PPT) treatment, whereas 1492 DMCs and 336 DMGs for ERβ agonist 2,3-bis(4-hydroxyphenyl)-propionitrile (DPN). In genic regions, most of the DMCs were intronic, followed by promoter and upstream regions. DMCs were distributed around the transcription start site and in transcription factor-binding regions, implicating their plausible role in gene expression regulation. Genes important for spermatogenesis were identified and validated which showed a similar trend of differential methylation as obtained by whole genome-bisulfite sequencing. The expression of the DMGs was also found to be altered in the testis. There was a considerable overlap (14% to 50%) of PPT DMGs with the DMGs reported to be affected in clinical conditions of male infertility. This study highlights the role of ERs in shaping the sperm epigenome and that aberrant estrogen signaling could be a contributing factor in clinical conditions of male infertility.
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Affiliation(s)
- Kushaan Khambata
- Gamete Immunobiology Department, ICMR-National Institute for Research in Reproductive and Child Health, Mumbai 400012, India
| | - Sanketa Raut
- Neuroendocrinology Department, ICMR-National Institute for Research in Reproductive and Child Health, Mumbai 400012, India
| | - Priyanka Parte
- Gamete Immunobiology Department, ICMR-National Institute for Research in Reproductive and Child Health, Mumbai 400012, India
| | - Nafisa H Balasinor
- Neuroendocrinology Department, ICMR-National Institute for Research in Reproductive and Child Health, Mumbai 400012, India
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Li W, Luo P, Chen Q, Cheng L, Gan L, Zhang F, Zhong H, Zheng L, Qian B. Epigenetic modifications in bladder cancer: crosstalk between DNA methylation and miRNAs. Front Immunol 2025; 16:1518144. [PMID: 39981244 PMCID: PMC11841399 DOI: 10.3389/fimmu.2025.1518144] [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: 10/28/2024] [Accepted: 01/22/2025] [Indexed: 02/22/2025] Open
Abstract
Bladder cancer (BC) is a malignant tumor characterized by a high incidence of urinary system diseases. The complex pathogenesis of BC has long been a focal point in medical research. With the robust development of epigenetics, the crucial role of epigenetic modifications in the occurrence and progression of BC has been elucidated. These modifications not only affect gene expression but also impact critical biological behaviors of tumor cells, including proliferation, differentiation, apoptosis, invasion, and metastasis. Notably, DNA methylation, an important epigenetic regulatory mechanism, often manifests as global hypomethylation or hypermethylation of specific gene promoter regions in BC. Alterations in this methylation pattern can lead to increased genomic instability, which profoundly influences the expression of proto-oncogenes and tumor suppressor genes. MiRNAs, as noncoding small RNAs, participate in various biological processes of BC by regulating target genes. Consequently, this work aims to explore the interaction mechanisms between DNA methylation and miRNAs in the occurrence and development of BC. Research has demonstrated that DNA methylation not only directly influences the expression of miRNA genes but also indirectly affects the maturation and functionality of miRNAs by modulating the methylation status of miRNA promoter regions. Simultaneously, miRNAs can regulate DNA methylation levels by targeting key enzymes such as DNA methyltransferases (DNMTs), thereby establishing a complex feedback regulatory network. A deeper understanding of the crosstalk mechanisms between DNA methylation and miRNAs in BC will contribute to elucidating the complexity and dynamics of epigenetic modifications in this disease, and may provide new molecular targets and strategies for the early diagnosis, treatment, and prognostic evaluation of BC.
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Affiliation(s)
- Wei Li
- The First Clinical College, Gannan Medical University, Ganzhou, Jiangxi, China
- Department of Urology, The First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China
- Key Laboratory of Urology and Andrology of Ganzhou, Ganzhou, Jiangxi, China
| | - Peiyue Luo
- The First Clinical College, Gannan Medical University, Ganzhou, Jiangxi, China
- Department of Urology, The First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China
- Key Laboratory of Urology and Andrology of Ganzhou, Ganzhou, Jiangxi, China
| | - Qi Chen
- The First Clinical College, Gannan Medical University, Ganzhou, Jiangxi, China
- Department of Urology, The First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China
- Key Laboratory of Urology and Andrology of Ganzhou, Ganzhou, Jiangxi, China
| | - Le Cheng
- The First Clinical College, Gannan Medical University, Ganzhou, Jiangxi, China
- Department of Urology, The First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China
- Key Laboratory of Urology and Andrology of Ganzhou, Ganzhou, Jiangxi, China
| | - Lifeng Gan
- The First Clinical College, Gannan Medical University, Ganzhou, Jiangxi, China
- Department of Urology, The First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China
- Key Laboratory of Urology and Andrology of Ganzhou, Ganzhou, Jiangxi, China
| | - Fangtao Zhang
- The First Clinical College, Gannan Medical University, Ganzhou, Jiangxi, China
- Department of Urology, The First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China
- Key Laboratory of Urology and Andrology of Ganzhou, Ganzhou, Jiangxi, China
| | - Haidong Zhong
- The First Clinical College, Gannan Medical University, Ganzhou, Jiangxi, China
- Department of Urology, The First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China
- Key Laboratory of Urology and Andrology of Ganzhou, Ganzhou, Jiangxi, China
| | - Liying Zheng
- Department of Graduate, The First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China
| | - Biao Qian
- Department of Urology, The First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China
- Key Laboratory of Urology and Andrology of Ganzhou, Ganzhou, Jiangxi, China
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9
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Sepers B, Ruuskanen S, van Mastrigt T, Mateman AC, van Oers K. DNA Methylation Associates With Sex-Specific Effects of Experimentally Increased Yolk Testosterone in Wild Nestlings. Mol Ecol 2025; 34:e17647. [PMID: 39758026 PMCID: PMC11789551 DOI: 10.1111/mec.17647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2024] [Revised: 11/15/2024] [Accepted: 12/06/2024] [Indexed: 01/07/2025]
Abstract
Maternal hormones can profoundly impact offspring physiology and behaviour in sex-dependent ways. Yet little is known about the molecular mechanisms linking these maternal effects to offspring phenotypes. DNA methylation, an epigenetic mechanism, is suggested to facilitate maternal androgens' effects. To assess whether phenotypic changes induced by maternal androgens associate with DNA methylation changes, we experimentally manipulated yolk testosterone levels in wild great tit eggs (Parus major) and quantified phenotypic and DNA methylation changes in the hatched offspring. While we found no effect on the handing stress response, increased yolk testosterone levels decreased the begging probability, emphasised sex differences in fledging mass, and affected methylation at 763 CpG sites, but always in a sex-specific way. These sites are associated with genes involved in growth, oxidative stress, and reproduction, suggesting sex-specific trade-offs to balance the costs and benefits of exposure to high yolk testosterone levels. Future studies should assess if these effects extend beyond the nestling stage and impact fitness.
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Affiliation(s)
- Bernice Sepers
- Department of Animal EcologyNetherlands Institute of Ecology (NIOO‐KNAW)WageningenThe Netherlands
- Behavioural Ecology GroupWageningen University & Research (WUR)WageningenThe Netherlands
- Department of Evolutionary Population GeneticsBielefeld UniversityBielefeldGermany
| | - Suvi Ruuskanen
- Department of Biological and Environmental ScienceUniversity of JyväskyläJyväskyläFinland
- Department of BiologyUniversity of TurkuTurkuFinland
| | - Tjomme van Mastrigt
- Department of Animal EcologyNetherlands Institute of Ecology (NIOO‐KNAW)WageningenThe Netherlands
- Vogeltrekstation – Dutch Centre for Avian Migration and DemographyNetherlands Institute of Ecology (NIOO‐KNAW)WageningenThe Netherlands
| | - A. Christa Mateman
- Department of Animal EcologyNetherlands Institute of Ecology (NIOO‐KNAW)WageningenThe Netherlands
| | - Kees van Oers
- Department of Animal EcologyNetherlands Institute of Ecology (NIOO‐KNAW)WageningenThe Netherlands
- Behavioural Ecology GroupWageningen University & Research (WUR)WageningenThe Netherlands
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10
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Bao Y, Ma Y, Huang W, Bai Y, Gao S, Xiu L, Xie Y, Wan X, Shan S, Chen C, Qu L. Regulation of autophagy and cellular signaling through non-histone protein methylation. Int J Biol Macromol 2025; 291:139057. [PMID: 39710032 DOI: 10.1016/j.ijbiomac.2024.139057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2024] [Revised: 12/06/2024] [Accepted: 12/19/2024] [Indexed: 12/24/2024]
Abstract
Autophagy is a highly conserved catabolic pathway that is precisely regulated and plays a significant role in maintaining cellular metabolic balance and intracellular homeostasis. Abnormal autophagy is directly linked to the development of various diseases, particularly immune disorders, neurodegenerative conditions, and tumors. The precise regulation of proteins is crucial for proper cellular function, and post-translational modifications (PTMs) are key epigenetic mechanisms in the regulation of numerous biological processes. Multiple proteins undergo PTMs that influence autophagy regulation. Methylation modifications on non-histone lysine and arginine residues have been identified as common PTMs critical to various life processes. This paper focused on the regulatory effects of non-histone methylation modifications on autophagy, summarizing related research on signaling pathways involved in autophagy-related non-histone methylation, and discussing current challenges and clinical significance. Our review concludes that non-histone methylation plays a pivotal role in the regulation of autophagy and its associated signaling pathways. Targeting non-histone methylation offers a promising strategy for therapeutic interventions in diseases related to autophagy dysfunction, such as cancer and neurodegenerative disorders. These findings provide a theoretical basis for the development of non-histone-methylation-targeted drugs for clinical use.
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Affiliation(s)
- Yongfen Bao
- Hubei Key Laboratory of Diabetes and Angiopathy, School of Pharmacy, Hubei University of Science and Technology, Xianning 437000, China; School of Basic Medical Sciences, Xianning Medical College, Hubei University of Science and Technology, Xianning 437000, China
| | - Yaoyao Ma
- Hubei Key Laboratory of Diabetes and Angiopathy, School of Pharmacy, Hubei University of Science and Technology, Xianning 437000, China; School of Basic Medical Sciences, Xianning Medical College, Hubei University of Science and Technology, Xianning 437000, China
| | - Wentao Huang
- Department of Physiology, Hunan Normal University School of Medicine, Changsha 410013, China
| | - Yujie Bai
- Department of Scientific Research and Education, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang 330000, China
| | - Siying Gao
- Hubei Province Key Laboratory of Allergy and Immunology, School of Basic Medical Sciences, Wuhan University, Wuhan 430071, China
| | - Luyao Xiu
- Hubei Province Key Laboratory of Allergy and Immunology, School of Basic Medical Sciences, Wuhan University, Wuhan 430071, China
| | - Yuyang Xie
- Hubei Province Key Laboratory of Allergy and Immunology, School of Basic Medical Sciences, Wuhan University, Wuhan 430071, China
| | - Xinrong Wan
- Hubei Province Key Laboratory of Allergy and Immunology, School of Basic Medical Sciences, Wuhan University, Wuhan 430071, China
| | - Shigang Shan
- School of Public Health and Nursing, Hubei University of Science and Technology, Hubei 437000, China
| | - Chao Chen
- School of Medicine, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | - Lihua Qu
- Hubei Key Laboratory of Diabetes and Angiopathy, School of Pharmacy, Hubei University of Science and Technology, Xianning 437000, China; School of Basic Medical Sciences, Xianning Medical College, Hubei University of Science and Technology, Xianning 437000, China.
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11
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Richard Albert J, Urli T, Monteagudo-Sánchez A, Le Breton A, Sultanova A, David A, Scarpa M, Schulz M, Greenberg MVC. DNA methylation shapes the Polycomb landscape during the exit from naive pluripotency. Nat Struct Mol Biol 2025; 32:346-357. [PMID: 39448850 DOI: 10.1038/s41594-024-01405-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 09/23/2024] [Indexed: 10/26/2024]
Abstract
In mammals, 5-methylcytosine (5mC) and Polycomb repressive complex 2 (PRC2)-deposited histone 3 lysine 27 trimethylation (H3K27me3) are generally mutually exclusive at CpG-rich regions. As mouse embryonic stem cells exit the naive pluripotent state, there is massive gain of 5mC concomitantly with restriction of broad H3K27me3 to 5mC-free, CpG-rich regions. To formally assess how 5mC shapes the H3K27me3 landscape, we profiled the epigenome of naive and differentiated cells in the presence and absence of the DNA methylation machinery. Surprisingly, we found that 5mC accumulation is not required to restrict most H3K27me3 domains. Instead, this 5mC-independent H3K27me3 restriction is mediated by aberrant expression of the PRC2 antagonist Ezhip (encoding EZH inhibitory protein). At the subset of regions where 5mC appears to genuinely supplant H3K27me3, we identified 163 candidate genes that appeared to require 5mC deposition and/or H3K27me3 depletion for their activation in differentiated cells. Using site-directed epigenome editing to directly modulate 5mC levels, we demonstrated that 5mC deposition is sufficient to antagonize H3K27me3 deposition and confer gene activation at individual candidates. Altogether, we systematically measured the antagonistic interplay between 5mC and H3K27me3 in a system that recapitulates early embryonic dynamics. Our results suggest that H3K27me3 restraint depends on 5mC, both directly and indirectly. Our study also implies a noncanonical role of 5mC in gene activation, which may be important not only for normal development but also for cancer progression, as oncogenic cells frequently exhibit dynamic replacement of 5mC for H3K27me3 and vice versa.
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Affiliation(s)
| | - Teresa Urli
- Université Paris Cité, CNRS, Institut Jacques Monod, Paris, France
| | - Ana Monteagudo-Sánchez
- Université Paris Cité, CNRS, Institut Jacques Monod, Paris, France
- Carlos Simon Foundation, INCLIVA Health Research Institute, Valencia, Spain
| | - Anna Le Breton
- Université Paris Cité, CNRS, Institut Jacques Monod, Paris, France
- Gulbenkian Institute for Molecular Medicine, Lisbon, Portugal
| | - Amina Sultanova
- Université Paris Cité, CNRS, Institut Jacques Monod, Paris, France
- Development and Disease Research Group, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Angélique David
- Université Paris Cité, CNRS, Institut Jacques Monod, Paris, France
| | | | - Mathieu Schulz
- Institut Curie, PSL Research University, INSERM U934, CNRS, UMR3215, Paris, France
- Department of Pathology and Cell Biology, Faculty of Medicine, University of Montreal Hospital Research Centre, Montréal, Québec, Canada
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12
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Cheng Y, Miller MJ, Lei F. Molecular Innovations Shaping Beak Morphology in Birds. Annu Rev Anim Biosci 2025; 13:99-119. [PMID: 39546421 DOI: 10.1146/annurev-animal-030424-074906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2024]
Abstract
The beak, a pivotal evolutionary trait characterized by high morphological diversity and plasticity, has enabled birds to survive mass extinction events and subsequently radiate into diverse ecological niches worldwide. This remarkable ecological adaptability underscores the importance of uncovering the molecular mechanisms shaping avian beak morphology, particularly benefiting from the rapidly advancing archives of genomics and epigenomics. We review the latest advancements in understanding how genetic and epigenetic innovations control or regulate beak development and drive beak morphological adaptation and diversification over the past two decades. We conclude with several recommendations for future endeavors, expanding to more bird lineages, with a focus on beak shape and the lower beak, and conducting functional experiments. By directing research efforts toward these aspects and integrating advanced omics techniques, the complex molecular mechanisms involved in avian beak evolution and morphogenesis will be deeply interpreted.
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Affiliation(s)
- Yalin Cheng
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China;
- College of Life Science, Hebei University, Baoding, China
| | | | - Fumin Lei
- University of Chinese Academy of Sciences, Beijing, China
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China;
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13
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Tomita T. Non-vesicular extracellular RNA: A potential drug target to intervene cell-cell communication. Pharmacol Ther 2025; 266:108774. [PMID: 39644926 DOI: 10.1016/j.pharmthera.2024.108774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2024] [Revised: 12/03/2024] [Accepted: 12/03/2024] [Indexed: 12/09/2024]
Abstract
The importance of non-vesicular extracellular RNA in the mammalian system is becoming increasingly apparent. Non-vesicular extracellular RNA is defined as RNA molecules not included in a lipid bilayer such as exosomes. Because non-vesicular extracellular RNA is not protected from RNases and is therefore rapidly degraded, they were not easily captured by conventional biofluid analyses. Recent publications showed that some non-vesicular extracellular RNAs are relatively stable in biofluids or tissue culture media, and they have unique biological functions. Major RNAs (rRNA, mRNA, and tRNA) and other non-cording RNAs play important roles in transcription or translation in the cell. In contrast, non-vesicular extracellular RNA has functions related to intercellular communication rather than protein synthesis. This review discusses the basics of non-vesicular extracellular RNA, including its definition, purification, receptors, and future prospects as a drug target.
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Affiliation(s)
- Takeshi Tomita
- Institute for Biomedical Sciences, Interdisciplinary Cluster for Cutting Edge Research, Shinshu University, School of Medicine, Japan; Department of Biochemistry and Molecular Biology, Shinshu University, School of Medicine, 3-1-1 Asahi, Matsumoto, Nagano 390-8621, Japan.
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14
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Guan S, Tang J, Di C, Cheng B. Protocol for visualizing the chromatin assembly properties of epigenetic protein complexes via an HTM module-mediated artificial tethering system. STAR Protoc 2025; 6:103597. [PMID: 39879359 PMCID: PMC11803143 DOI: 10.1016/j.xpro.2025.103597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2024] [Revised: 12/06/2024] [Accepted: 01/02/2025] [Indexed: 01/31/2025] Open
Abstract
The detailed chromatin assembly processes for many epigenetic regulatory complexes are largely unknown. Here, we present a protocol utilizing heterochromatin-targeting module (HTM) module-mediated chromatin tethering followed by microscopy-based visualization to detect the recruitment priority between two components in Polycomb repressive complex 1 (PRC1). Moreover, we detail procedures for detecting the resultant histone-modifying activities of PRC1 using immunofluorescence (IF) analyses. This approach allows directly visualization of the on-chromatin assembly of the histone-modifying complexes of interest in live cells. For complete details on the use and execution of this protocol, please refer to Cheng et al.1.
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Affiliation(s)
- Shanli Guan
- School of Life Sciences, Lanzhou University, Lanzhou 730000, Gansu, P.R. China
| | - Jiajia Tang
- School of Life Sciences, Lanzhou University, Lanzhou 730000, Gansu, P.R. China
| | - Cuixia Di
- Bio-Medical Research Center, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, Gansu, P.R. China
| | - Bo Cheng
- School of Life Sciences, Lanzhou University, Lanzhou 730000, Gansu, P.R. China; Key Laboratory of Cell Activities and Stress Adaptations, Ministry of Education, Lanzhou University, Lanzhou 730000, Gansu, P.R. China.
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15
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Lorzadeh A, Ye G, Sharma S, Jadhav U. Motif distribution and DNA methylation underlie distinct Cdx2 binding during development and homeostasis. Nat Commun 2025; 16:929. [PMID: 39843425 PMCID: PMC11754732 DOI: 10.1038/s41467-025-56187-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Accepted: 01/07/2025] [Indexed: 01/24/2025] Open
Abstract
Transcription factors guide tissue development by binding to developmental stage-specific targets and establishing an appropriate enhancer landscape. In turn, DNA and chromatin modifications direct the genomic binding of transcription factors. However, how transcription factors navigate chromatin features to selectively bind a small subset of all the possible genomic target loci remains poorly understood. Here we show that Cdx2-a lineage defining transcription factor that binds distinct targets in developing versus adult intestinal epithelial cells-has a preferential affinity for a non-canonical CpG-containing motif in vivo. A higher frequency of this motif at embryonic Cdx2 targets and methylated state of the CpG during development enables selective Cdx2 binding and activation of developmental enhancers and genes. In adult cells, demethylation at these enhancers prevents ectopic Cdx2 binding, instead directing Cdx2 to its canonical motif without a CpG. This shift in Cdx2 binding facilitates Ctcf and Hnf4 recruitment, establishing super-enhancers during development and homeostatic enhancers in adult cells, respectively. Induced DNA methylation in adult mouse epithelium or cultured cells recruits Cdx2 to developmental targets, promoting corecruitment of partner transcription factors. Thus, Cdx2's differential CpG motif preferences enable it to navigate distinct DNA methylation profiles, activating genes specific to appropriate developmental stages.
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Affiliation(s)
- Alireza Lorzadeh
- Department of Stem Cell Biology and Regenerative Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - George Ye
- Department of Stem Cell Biology and Regenerative Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Sweta Sharma
- Department of Stem Cell Biology and Regenerative Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Unmesh Jadhav
- Department of Stem Cell Biology and Regenerative Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
- Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
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16
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Jiang D, Zhang X, Luo L, Li T, Chen H, Ma N, Fu L, Tian P, Mao F, Lü P, Guo H, Zhu F. Cytosine Methylation Changes the Preferred Cis-Regulatory Configuration of Arabidopsis WUSCHEL-Related Homeobox 14. Int J Mol Sci 2025; 26:763. [PMID: 39859480 PMCID: PMC11765556 DOI: 10.3390/ijms26020763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2024] [Revised: 12/31/2024] [Accepted: 01/09/2025] [Indexed: 01/27/2025] Open
Abstract
The Arabidopsis transcription factor WUSCHEL-related homeobox 14 (AtWOX14) plays versatile roles in plant growth and development. However, its biochemical specificity of DNA binding, its genome-wide regulatory targets, and how these are affected by DNA methylation remain uncharacterized. To clarify the biochemistry underlying the regulatory function of AtWOX14, using the recently developed 5mC-incorporation strategy, this study performed SELEX and DAP-seq for AtWOX14 both in the presence and absence of cytosine methylation, systematically curated 65 motif models and identified 51,039 genomic binding sites for AtWOX14, and examined how 5mC affects DNA binding of AtWOX14 through bioinformatic analyses. Overall, 5mC represses the DNA binding of AtWOX14 monomers but facilitates the binding of its dimers, and the methylation effect on a cytosine's affinity to AtWOX14 is position-dependent. Notably, we found that the most preferred homodimeric configuration of AtWOX14 has changed from ER1 to ER0 upon methylation. This change has the potential to rewire the regulatory network downstream of AtWOX14, as suggested by the GO analyses and the strength changes in the DAP-seq peaks upon methylation. Therefore, this work comprehensively illustrates the specificity and targets of AtWOX14 and reports a previously unrecognized effect of DNA methylation on transcription factor binding.
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Affiliation(s)
- Dingkun Jiang
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (D.J.)
| | - Xinfeng Zhang
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (D.J.)
| | - Lin Luo
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (D.J.)
| | - Tian Li
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (D.J.)
| | - Hao Chen
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (D.J.)
| | - Nana Ma
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (D.J.)
| | - Lufeng Fu
- College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Peng Tian
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (D.J.)
| | - Fei Mao
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (D.J.)
| | - Peitao Lü
- College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China
- National Key Laboratory for Tropical Crop Breeding, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Sanya 572024, China
| | - Honghong Guo
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (D.J.)
| | - Fangjie Zhu
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (D.J.)
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17
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Caldwell BA, Ie S, Lucas A, Li L. Ticam2 ablation facilitates monocyte exhaustion recovery after sepsis. Sci Rep 2025; 15:2059. [PMID: 39814939 PMCID: PMC11735619 DOI: 10.1038/s41598-025-86103-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2024] [Accepted: 01/08/2025] [Indexed: 01/18/2025] Open
Abstract
Sepsis is a leading cause of death worldwide, with most patient mortality stemming from lingering immunosuppression in sepsis survivors. This is due in part to immune dysfunction resulting from monocyte exhaustion, a phenotype of reduced antigen presentation, altered CD14/CD16 inflammatory subtypes, and disrupted cytokine production. Whereas previous research demonstrated improved sepsis survival in Ticam2-/- mice, the contribution of TICAM2 to long-term exhaustion memory remained unknown. Using a cecal slurry injection sepsis model, we monitored the establishment and recovery of monocyte exhaustion in Ticam2-/- mice. After one week of recovery, we profiled bone marrow and splenic reservoir monocytes in Ticam2-/- mice and found that, in contrast to the persistent exhaustion observed in wild-type monocytes, Ticam2-/- monocytes largely resembled healthy controls. To determine the impact of TICAM2 ablation on innate epigenetic memory in sepsis, we measured genome-wide DNA methylation in bone marrow monocytes and found that Ticam2-/- cells exhibit a unique profile of altered methylation at CEBPE binding sites and regulatory features for key immune genes such as Dmkn and Btg1. Bearing human translational relevance, a case study of time course blood samples collected from a sepsis patient presenting with SIRS and a positive qSOFA revealed a similar effect in human monocytes, which steadily transition into an exhausted memory characterized by a CD38high; CX3CR1low; HLA-DRlow state within four days of hospital admittance. Together, our data reveal the chronic preservation of monocyte exhaustion, partially controlled by TICAM2.
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Affiliation(s)
- Blake A Caldwell
- Department of Biological Sciences, Virginia Tech, Blacksburg, VA, 24061-0910, USA
| | - Susanti Ie
- Carillion Roanoke Memorial Hospital, Roanoke, VA, 24014, USA
| | - Amy Lucas
- Carillion Roanoke Memorial Hospital, Roanoke, VA, 24014, USA
| | - Liwu Li
- Department of Biological Sciences, Virginia Tech, Blacksburg, VA, 24061-0910, USA.
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18
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Mariner BL, McCoy BM, Greenier A, Brassington L, Slikas E, Adjangba C, Marye A, Harrison BR, Bamberger T, Algavi Y, Muller E, Harris A, Rout E, Avery A, Borenstein E, Promislow D, Snyder-Mackler N. DNA methylation of transposons pattern aging differences across a diverse cohort of dogs from the Dog Aging Project. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2025:2024.10.08.617286. [PMID: 39416178 PMCID: PMC11482827 DOI: 10.1101/2024.10.08.617286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/19/2024]
Abstract
Within a species, larger individuals often have shorter lives and higher rates of age-related disease. Despite this well-known link, we still know little about underlying age-related epigenetic differences, which could help us better understand inter-individual variation in aging and the etiology, onset, and progression of age-associated disease. Dogs exhibit this negative correlation between size, health, and longevity and thus represent an excellent system in which to test the underlying mechanisms. Here, we quantified genome-wide DNA methylation in a cohort of 864 dogs in the Dog Aging Project. Age strongly patterned the dog epigenome, with the majority (66% of age-associated loci) of regions associating age-related loss of methylation. These age effects were non-randomly distributed in the genome and differed depending on genomic context. We found the LINE1 (long interspersed elements) class of TEs (transposable elements) were the most frequently hypomethylated with age (FDR < 0.05, 40% of all LINE1 regions). This LINE1 pattern differed in magnitude across breeds of different sizes- the largest dogs lost 0.26% more LINE1 methylation per year than the smallest dogs. This suggests that epigenetic regulation of TEs, particularly LINE1s, may contribute to accelerated age and disease phenotypes within a species. Since our study focused on the methylome of immune cells, we looked at LINE1 methylation changes in golden retrievers, a breed highly susceptible to hematopoietic cancers, and found they have accelerated age-related LINE1 hypomethylation compared to other breeds. We also found many of the LINE1s hypomethylated with age are located on the X chromosome and are, when considering X chromosome inactivation, counter-intuitively more methylated in males. These results have revealed the demethylation of LINE1 transposons as a potential driver of intra-species, demographic-dependent aging variation.
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19
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Wang Q, Ma C, Yang B, Zheng W, Liu X, Jian G. Dysregulation of DNA methylation in colorectal cancer: biomarker, immune regulation, and therapeutic potential. Int Immunopharmacol 2025; 145:113766. [PMID: 39644791 DOI: 10.1016/j.intimp.2024.113766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2024] [Revised: 11/16/2024] [Accepted: 11/30/2024] [Indexed: 12/09/2024]
Abstract
Colorectal cancer (CRC) is one of the most prevalent malignancies worldwide, with morbidity and mortality ranking third and second among all cancers, respectively. As a result of a sequence of genetic and DNA methylation alterations that gradually accumulate in the healthy colonic epithelium, colorectal adenomas and invasive adenocarcinomas eventually give rise to CRC. Global hypomethylation and promoter-specific DNA methylation are characteristics of CRC. The pathophysiological role of aberrant DNA methylation in malignant tumors has garnered significant interest in the last few decades. In addition, DNA methylation has been shown to play a critical role in influencing immune cell function and tumor immune evasion. This review summarizes the most recent research on DNA methylation changes in CRC, including the role of DNA methylation-related enzymes in CRC tumorigenesis and biomarkers for diagnosis, predictive and prognostic. Besides, we focus on the emerging potential of epigenetic interventions to enhance antitumor immune responses and improve the CRC clinical practice.
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Affiliation(s)
- Qin Wang
- School of Pharmacy, Southwest Minzu University, Chengdu, China; Department of Pathology, Yong Yoo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
| | - Chen Ma
- School of Pharmacy, Southwest Minzu University, Chengdu, China
| | - Bin Yang
- School of Traditional Chinese Medicine, Capital Medical University, Beijing, China
| | - Wenxin Zheng
- School of Pharmacy, Southwest Minzu University, Chengdu, China
| | - Xinya Liu
- School of Pharmacy, Southwest Minzu University, Chengdu, China
| | - Gu Jian
- School of Pharmacy, Southwest Minzu University, Chengdu, China
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20
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Xia B, Lu YL, Peng J, Liang JW, Li FQ, Ding JY, Wan CW, Le CY, Dai JL, Jie-Wang, Guo B, Huang J. Galactin-8 DNA methylation mediates macrophage autophagy through the MAPK/mTOR pathway to alleviate atherosclerosis. Sci Rep 2025; 15:603. [PMID: 39747459 PMCID: PMC11695939 DOI: 10.1038/s41598-024-85036-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2024] [Accepted: 12/30/2024] [Indexed: 01/04/2025] Open
Abstract
DNA methylation modifications are an important mechanism affecting the process of atherosclerosis (AS). Previous studies have shown that Galectin-8 (GAL8) DNA methylation level is associated with sudden death of coronary heart disease or acute events of coronary heart disease. However, the mechanism of GAL8 DNA methylation and gene expression in AS has not been elucidated, prompting us to carry out further research on it. ApoE-/- mice were used to establish an atherosclerosis model, and DNA methylation inhibitor DO05 and MAPK/mTOR inhibitor UO126 were used for intervention. Pyrosequencing was used to detect changes in GAL8 DNA methylation levels of the mouse aorta between groups. ROC curve analysis was performed to assess the relationship between GAL8 DNA methylation and atherosclerosis. Aortic staining with hematoxylin and eosin (H&E) was used to observe the aortic intima, plaque area, and characteristics of secondary lesions within the plaque. Oil Red O staining was used to detect lipid deposition in mouse arterial plaques or macrophages. Movat staining was used to detect the number of foam cells in the plaque. Immunohistochemistry (IHC) and Western blot were used to quantify the localization and expression levels of DNA methyltransferase1 (DNMT1), GAL8, MAPK/mTOR pathway proteins, Light Chain3 (LC3), Beclin1, Sequestosome1 (p62), Tumor Necrosis Factor-α (TNF-α), and other proteins. Immunofluorescence (IF) was used to detect the fluorescence intensity of GAL8, LC3, Monocyte chemoattractant protein-1(MCP-1), and other proteins. Detection of autophagosomes in macrophages by transmission electron microscopy was also performed. The foam cell model was induced with human monocytes (THP-1) and co-cultured with foam cells using siRNAs targeting GAL8, DO05, and UO126. The level of DNMT1 was detected by Western blot; Oil red O staining was used to detect lipid deposition in foam cells in each group, and the localization and expression levels of GAL8, MAPK/mTOR pathway proteins, LC3, Beclin1, p62, and TNF-α were quantitatively determined by Western blot. Immunofluorescence (IF) was used to detect the fluorescence intensity of GAL8, MAPK/mTOR pathway protein, LC3, p62, TNF-α, and other proteins. The GAL-8 promoter region harbors six CpG sites susceptible to DNA methylation. Following DNMT1 inhibition, the DC05 group displayed a significant decrease in methylation across all six CpG sites compared to the C57 and AS groups. Conversely, the UO126 group exhibited increased methylation at the first three CpG loci relative to the AS group. ROC curve analysis revealed GAL8 DNA methylation as an independent risk factor for atherosclerosis: GAL8, along with inflammation-related proteins MCP-1, MMP9, and TNF-α, were upregulated in the mouse lesion group, while expression of autophagy-related proteins LC3 and Beclin1 was downregulated. Additionally, phosphorylated MAPK/mTOR pathway proteins were detected in the mouse model of atherosclerosis. After inhibiting the methylation level of GAL-8 DNA, the expression of GAL-8 was up-regulated, macrophage autophagy was inhibited, inflammation was increased, and atherosclerotic lesions in mice were aggravated. After direct inhibition of the activity of the MAPK/mTOR pathway, macrophage autophagy was further weakened, the inflammatory response was further aggravated, and the atherosclerotic lesions of mice were further aggravated. After the specific knockdown of GAL-8 using siRNA GAL-8 using foam cells, the above phenomenon was reversed, macrophage autophagy was promoted, the inflammatory response was reduced, and the degree of atherosclerosis was alleviated. The degree of GAL8 DNA methylation is related to the progression of atherosclerosis, and its hypomethylation can aggravate atherosclerotic lesions. The mechanism may be through the regulation of MAPK/mTOR pathway to slow down the autophagy of macrophages, and then aggravate the inflammation in plaques. Targeting GAL8 DNA methylation may be a new target for the diagnosis and treatment of atherosclerosis.
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Affiliation(s)
- Bing Xia
- School of Forensic Medicine, Guizhou Medical University, Guiyang, 550004, China
| | - Yan-Lin Lu
- School of Forensic Medicine, Guizhou Medical University, Guiyang, 550004, China
| | - Jin Peng
- School of Forensic Medicine, Guizhou Medical University, Guiyang, 550004, China
- School of Basic Medicine, Guizhou Medical University, Guiyang, 550004, China
| | - Jing-Wei Liang
- School of Forensic Medicine, Guizhou Medical University, Guiyang, 550004, China
| | - Fang-Qin Li
- School of Forensic Medicine, Guizhou Medical University, Guiyang, 550004, China
| | - Jiu-Yang Ding
- School of Forensic Medicine, Guizhou Medical University, Guiyang, 550004, China
| | - Chang-Wu Wan
- School of Forensic Medicine, Guizhou Medical University, Guiyang, 550004, China
| | - Cui-Yun Le
- School of Forensic Medicine, Guizhou Medical University, Guiyang, 550004, China
| | - Jia-Lin Dai
- School of Forensic Medicine, Guizhou Medical University, Guiyang, 550004, China
| | - Jie-Wang
- School of Forensic Medicine, Guizhou Medical University, Guiyang, 550004, China
| | - Bing Guo
- School of Basic Medicine, Guizhou Medical University, Guiyang, 550004, China.
| | - Jiang Huang
- School of Forensic Medicine, Guizhou Medical University, Guiyang, 550004, China.
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21
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Zhou W, Reizel Y. On correlative and causal links of replicative epimutations. Trends Genet 2025; 41:60-75. [PMID: 39289103 DOI: 10.1016/j.tig.2024.08.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2024] [Revised: 08/20/2024] [Accepted: 08/21/2024] [Indexed: 09/19/2024]
Abstract
The mitotic inheritability of DNA methylation as an epigenetic marker in higher-order eukaryotes has been established for >40 years. The DNA methylome and mitotic division interplay is now considered bidirectional and highly intertwined. Various epigenetic writers, erasers, and modulators shape the perceived replicative methylation dynamics. This Review surveys the principles and complexity of mitotic transmission of DNA methylation, emphasizing the awareness of mitotic aging in analyzing DNA methylation dynamics in development and disease. We reviewed how DNA methylation changes alter mitotic proliferation capacity, implicating age-related diseases like cancer. We link replicative epimutation to stem cell dysfunction, inflammatory response, cancer risks, and epigenetic clocks, discussing the causative role of DNA methylation in health and disease.
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Affiliation(s)
- Wanding Zhou
- Center for Computational and Genomic Medicine, The Children's Hospital of Philadelphia, PA, 19104, USA; Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
| | - Yitzhak Reizel
- Department of Biotechnology and Food Engineering, Technion - Israel Institute of Technology, Haifa, Israel.
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22
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Makhani K, Yang X, Dierick F, Subramaniam N, Gagnon N, Ebrahimian T, Lehoux S, Wu H, Ding J, Mann KK. Single-Cell Multi-Omics Profiling of Immune Cells Isolated from Atherosclerotic Plaques in Male ApoE Knockout Mice Exposed to Arsenic. ENVIRONMENTAL HEALTH PERSPECTIVES 2025; 133:17007. [PMID: 39847705 PMCID: PMC11756858 DOI: 10.1289/ehp14285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 12/16/2024] [Accepted: 12/19/2024] [Indexed: 01/25/2025]
Abstract
BACKGROUND Millions worldwide are exposed to elevated levels of arsenic that significantly increase their risk of developing atherosclerosis, a pathology primarily driven by immune cells. While the impact of arsenic on immune cell populations in atherosclerotic plaques has been broadly characterized, cellular heterogeneity is a substantial barrier to in-depth examinations of the cellular dynamics for varying immune cell populations. OBJECTIVES This study aimed to conduct single-cell multi-omics profiling of atherosclerotic plaques in apolipoprotein E knockout (ApoE-/-) mice to elucidate transcriptomic and epigenetic changes in immune cells induced by arsenic exposure. METHODS The ApoE-/- mice were fed a high-fat diet and were exposed to either 200 ppb arsenic in drinking water or a tap water control, and single-cell multi-omics profiling was performed on atherosclerotic plaque-resident immune cells. Transcriptomic and epigenetic changes in immune cells were analyzed within the same cell to understand the effects of arsenic exposure. RESULTS Our data revealed that the transcriptional profile of macrophages from arsenic-exposed mice were significantly different from that of control mice and that differences were subtype specific and associated with cell-cell interaction and cell fates. Additionally, our data suggest that differences in arsenic-mediated changes in chromosome accessibility in arsenic-exposed mice were statistically more likely to be due to factors other than random variation compared to their effects on the transcriptome, revealing markers of arsenic exposure and potential targets for intervention. DISCUSSION These findings in mice provide insights into how arsenic exposure impacts immune cell types in atherosclerosis, highlighting the importance of considering cellular heterogeneity in studying such effects. The identification of subtype-specific differences and potential intervention targets underscores the significance of understanding the molecular mechanisms underlying arsenic-induced atherosclerosis. Further research is warranted to validate these findings and explore therapeutic interventions targeting immune cell dysfunction in arsenic-exposed individuals. https://doi.org/10.1289/EHP14285.
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Affiliation(s)
- Kiran Makhani
- Division of Experimental Medicine, Department of Medicine, McGill University, Montréal, Canada
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Canada
| | - Xiuhui Yang
- Meakins-Christie Laboratories, Translational Research in Respiratory Diseases Program, Research Institute of the McGill University Health Centre, Montréal, Canada
- Department of Medicine, McGill University, Montréal, Canada
- School of Software, Shandong University, Jinan, Shandong, China
- Quantitative Life Sciences, Faculty of Medicine & Health Sciences, McGill University, Montréal, Canada
| | - France Dierick
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Canada
| | - Nivetha Subramaniam
- Division of Experimental Medicine, Department of Medicine, McGill University, Montréal, Canada
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Canada
| | - Natascha Gagnon
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Canada
| | - Talin Ebrahimian
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Canada
| | - Stephanie Lehoux
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Canada
- Department of Medicine, McGill University, Montréal, Canada
| | - Hao Wu
- School of Software, Shandong University, Jinan, Shandong, China
| | - Jun Ding
- Division of Experimental Medicine, Department of Medicine, McGill University, Montréal, Canada
- Meakins-Christie Laboratories, Translational Research in Respiratory Diseases Program, Research Institute of the McGill University Health Centre, Montréal, Canada
- Department of Medicine, McGill University, Montréal, Canada
- Quantitative Life Sciences, Faculty of Medicine & Health Sciences, McGill University, Montréal, Canada
- Mila-Quebec AI Institute, Montréal, Canada
- School of Computer Science, McGill University, Montréal, Canada
- Department of Biomedical Engineering, School of Biomedical Sciences, McGill University, Montréal, Canada
| | - Koren K. Mann
- Division of Experimental Medicine, Department of Medicine, McGill University, Montréal, Canada
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Canada
- Department of Pharmacology and Therapeutics, McGill University, Montréal, Canada
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23
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Li J, Mei B, Zhu Y, Huang J, Li M, Wang D, Huang J, Zhang G. CpG hypomethylation at proximal promoter and 5'UTR along with IL6 signaling loop associates with MYD88 upregulation in epithelial ovarian cancer. Sci Rep 2024; 14:30945. [PMID: 39730678 DOI: 10.1038/s41598-024-81975-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2024] [Accepted: 12/02/2024] [Indexed: 12/29/2024] Open
Abstract
MYD88 is an IL-6 primary response gene and, its upregulation of expression has been shown to be a poor prognostic factor in epithelial ovarian cancer (EOC). We investigated the effects of CpG methylation at the proximal promoter/5'UTR and IL-6/SP1/IRF1 signaling on upregulation of MYD88 and prognosis in EOC. We assessed CpG methylation at the proximal promoter/5'UTR of MYD88 using bisulfite sequencing/PCR in 103 EOC patients, 28 normal ovarian tissues and two EOC cell lines with differential expression of MYD88 and identified the impact of the level of CpG methylation on MYD88 upregulation by SP1/IRF1 with knockdown or blockade of IL-6. The proximal promoter/5'UTR of MYD88 was significantly hypomethylated in 75 EOC tissues compared to 28 normal ovarian tissues (P < 0.001). CpG hypomethylation was relevant to MYD88 upregulation in 75 EOC cases (R2 = 0.4376; P < 0.001). Of them, 38 cases with m5CpGlow/MYD88high/IL-6high were associated with reduced progression-free/overall survival compared to 37 cases with m5CpGhigh/MYD88low/IL-6low (P < 0.01). Knockdown of IL-6 or blockade with IL-6 receptor McAb attenuated MYD88 upregulation by SP1/IRF1 signaling in EOC cells with MYD88high (P < 0.001). In conclusion, CpG hypomethylation at the proximal promoter/5'UTR contributes to MYD88 upregulation in EOC via IL-6/SP1/IRF1 pathway.
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Affiliation(s)
- Junyang Li
- Department Gynecological Oncology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, No. 55, Section 4, South People's Road, Chengdu, 610041, China
| | - Bingjie Mei
- Department Gynecological Oncology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, No. 55, Section 4, South People's Road, Chengdu, 610041, China
| | - Yi Zhu
- Department Gynecological Oncology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, No. 55, Section 4, South People's Road, Chengdu, 610041, China
- Department of Ultrasound, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, 610041, China
| | - Jianmei Huang
- Department Gynecological Oncology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, No. 55, Section 4, South People's Road, Chengdu, 610041, China
| | - Meiying Li
- Biochemistry and Molecular Biology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, No. 55, Section 4, South People's Road, Chengdu, 610041, China
| | - Dengfeng Wang
- Department Gynecological Oncology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, No. 55, Section 4, South People's Road, Chengdu, 610041, China
| | - Jianming Huang
- Biochemistry and Molecular Biology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, No. 55, Section 4, South People's Road, Chengdu, 610041, China.
| | - Guonan Zhang
- Department Gynecological Oncology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, No. 55, Section 4, South People's Road, Chengdu, 610041, China.
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24
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Jurkowska RZ. Role of epigenetic mechanisms in the pathogenesis of chronic respiratory diseases and response to inhaled exposures: From basic concepts to clinical applications. Pharmacol Ther 2024; 264:108732. [PMID: 39426605 DOI: 10.1016/j.pharmthera.2024.108732] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2024] [Revised: 08/15/2024] [Accepted: 10/11/2024] [Indexed: 10/21/2024]
Abstract
Epigenetic modifications are chemical groups in our DNA (and chromatin) that determine which genes are active and which are shut off. Importantly, they integrate environmental signals to direct cellular function. Upon chronic environmental exposures, the epigenetic signature of lung cells gets altered, triggering aberrant gene expression programs that can lead to the development of chronic lung diseases. In addition to driving disease, epigenetic marks can serve as attractive lung disease biomarkers, due to early onset, disease specificity, and stability, warranting the need for more epigenetic research in the lung field. Despite substantial progress in mapping epigenetic alterations (mostly DNA methylation) in chronic lung diseases, the molecular mechanisms leading to their establishment are largely unknown. This review is meant as a guide for clinicians and lung researchers interested in epigenetic regulation with a focus on DNA methylation. It provides a short introduction to the main epigenetic mechanisms (DNA methylation, histone modifications and non-coding RNA) and the machinery responsible for their establishment and removal. It presents examples of epigenetic dysregulation across a spectrum of chronic lung diseases and discusses the current state of epigenetic therapies. Finally, it introduces the concept of epigenetic editing, an exciting novel approach to dissecting the functional role of epigenetic modifications. The promise of this emerging technology for the functional study of epigenetic mechanisms in cells and its potential future use in the clinic is further discussed.
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Affiliation(s)
- Renata Z Jurkowska
- Division of Biomedicine, School of Biosciences, Cardiff University, Cardiff, UK.
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25
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Zhang J, Zhao Y, Liang R, Zhou X, Wang Z, Yang C, Gao L, Zheng Y, Shao H, Su Y, Cui W, Jia L, Yang J, Wu C, Wang L. DNMT3A loss drives a HIF-1-dependent synthetic lethality to HDAC6 inhibition in non-small cell lung cancer. Acta Pharm Sin B 2024; 14:5219-5234. [PMID: 39807333 PMCID: PMC11725086 DOI: 10.1016/j.apsb.2024.08.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2024] [Revised: 06/18/2024] [Accepted: 07/26/2024] [Indexed: 01/16/2025] Open
Abstract
DNMT3A encodes a DNA methyltransferase involved in development, cell differentiation, and gene transcription, which is mutated and aberrant-expressed in cancers. Here, we revealed that loss of DNMT3A promotes malignant phenotypes in lung cancer. Based on the epigenetic inhibitor library synthetic lethal screening, we found that small-molecule HDAC6 inhibitors selectively killed DNMT3A-defective NSCLC cells. Knockdown of HDAC6 by siRNAs reduced cell growth and induced apoptosis in DNMT3A-defective NSCLC cells. However, sensitive cells became resistant when DNMT3A was rescued. Furthermore, the selectivity to HDAC6 inhibition was recapitulated in mice, where an HDAC6 inhibitor retarded tumor growth established from DNMT3A-defective but not DNMT3A parental NSCLC cells. Mechanistically, DNMT3A loss resulted in the upregulation of HDAC6 through decreasing its promoter CpG methylation and enhancing transcription factor RUNX1 binding. Notably, our results indicated that HIF-1 pathway was activated in DNMT3A-defective cells whereas inactivated by HDAC6 inhibition. Knockout of HIF-1 contributed to the elimination of synthetic lethality between DNMT3A and HDAC6. Interestingly, HIF-1 pathway inhibitors could mimic the selective efficacy of HDAC6 inhibition in DNMT3A-defective cells. These results demonstrated HDAC6 as a HIF-1-dependent vulnerability of DNMT3A-defective cancers. Together, our findings identify HDAC6 as a potential HIF-1-dependent therapeutic target for the treatment of DNMT3A-defective cancers like NSCLC.
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Affiliation(s)
- Jiayu Zhang
- Department of Pharmacology, School of Life Science and Biopharmaceutics, Shenyang Pharmaceutical University, Shenyang 110016, China
| | - Yingxi Zhao
- Department of Pharmacology, School of Life Science and Biopharmaceutics, Shenyang Pharmaceutical University, Shenyang 110016, China
| | - Ruijuan Liang
- Department of Pharmacology, School of Life Science and Biopharmaceutics, Shenyang Pharmaceutical University, Shenyang 110016, China
| | - Xue Zhou
- Department of Biochemistry and Molecular Biology, School of Medical Devices, Shenyang Pharmaceutical University, Shenyang 110016, China
| | - Zhonghua Wang
- Department of Pharmacology, School of Life Science and Biopharmaceutics, Shenyang Pharmaceutical University, Shenyang 110016, China
| | - Cheng Yang
- Department of Pharmacology, School of Life Science and Biopharmaceutics, Shenyang Pharmaceutical University, Shenyang 110016, China
| | - Lingyue Gao
- Department of Pharmacology, School of Life Science and Biopharmaceutics, Shenyang Pharmaceutical University, Shenyang 110016, China
| | - Yonghao Zheng
- Department of Pharmacology, School of Life Science and Biopharmaceutics, Shenyang Pharmaceutical University, Shenyang 110016, China
| | - Hui Shao
- Department of Pharmacology, School of Life Science and Biopharmaceutics, Shenyang Pharmaceutical University, Shenyang 110016, China
| | - Yang Su
- Shengjing Hospital of China Medical University, Shenyang 110004, China
| | - Wei Cui
- Department of Pharmacology, School of Life Science and Biopharmaceutics, Shenyang Pharmaceutical University, Shenyang 110016, China
| | - Lina Jia
- Department of Pharmacology, School of Life Science and Biopharmaceutics, Shenyang Pharmaceutical University, Shenyang 110016, China
| | - Jingyu Yang
- Department of Pharmacology, School of Life Science and Biopharmaceutics, Shenyang Pharmaceutical University, Shenyang 110016, China
| | - Chunfu Wu
- Department of Pharmacology, School of Life Science and Biopharmaceutics, Shenyang Pharmaceutical University, Shenyang 110016, China
| | - Lihui Wang
- Department of Pharmacology, School of Life Science and Biopharmaceutics, Shenyang Pharmaceutical University, Shenyang 110016, China
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26
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Morgan D, DeMeo DL, Glass K. Using methylation data to improve transcription factor binding prediction. Epigenetics 2024; 19:2309826. [PMID: 38300850 PMCID: PMC10841018 DOI: 10.1080/15592294.2024.2309826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 01/01/2024] [Indexed: 02/03/2024] Open
Abstract
Modelling the regulatory mechanisms that determine cell fate, response to external perturbation, and disease state depends on measuring many factors, a task made more difficult by the plasticity of the epigenome. Scanning the genome for the sequence patterns defined by Position Weight Matrices (PWM) can be used to estimate transcription factor (TF) binding locations. However, this approach does not incorporate information regarding the epigenetic context necessary for TF binding. CpG methylation is an epigenetic mark influenced by environmental factors that is commonly assayed in human cohort studies. We developed a framework to score inferred TF binding locations using methylation data. We intersected motif locations identified using PWMs with methylation information captured in both whole-genome bisulfite sequencing and Illumina EPIC array data for six cell lines, scored motif locations based on these data, and compared with experimental data characterizing TF binding (ChIP-seq). We found that for most TFs, binding prediction improves using methylation-based scoring compared to standard PWM-scores. We also illustrate that our approach can be generalized to infer TF binding when methylation information is only proximally available, i.e. measured for nearby CpGs that do not directly overlap with a motif location. Overall, our approach provides a framework for inferring context-specific TF binding using methylation data. Importantly, the availability of DNA methylation data in existing patient populations provides an opportunity to use our approach to understand the impact of methylation on gene regulatory processes in the context of human disease.
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Affiliation(s)
- Daniel Morgan
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Dawn L. DeMeo
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Kimberly Glass
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biostatistics, Harvard Chan School of Public Health, Boston, MA, USA
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27
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Wester RA, Neikes HK, Lindeboom RGH, Vermeulen M. Quantifying genome-wide transcription factor binding affinities for chromatin using BANC-seq. Nat Protoc 2024; 19:3590-3612. [PMID: 39080437 DOI: 10.1038/s41596-024-01026-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 05/17/2024] [Indexed: 12/15/2024]
Abstract
Transcription factors (TFs) bind specific DNA sequences to regulate transcription. Apart from DNA sequences, local factors such as DNA accessibility and chromatin structure determine the affinity of a TF for any given locus. Including these factors when measuring TF-DNA affinities has proven difficult. To address this challenge, we recently developed a method called binding affinities in native chromatin by sequencing (BANC-seq). In BANC-seq, intact mammalian nuclei are incubated with a concentration range of epitope-tagged TF, followed by either chromatin immunoprecipitation or cleavage under target and release using nuclease with spike-in DNA. This allows determination of apparent dissociation constant (KdApp) values, defined by the concentration of TF at which half-maximum binding occurs, across the genome. Here we present a detailed stepwise protocol for BANC-seq, including downstream data analysis. In principle, any molecular biologist should be able to perform a BANC-seq experiment in as little as 1.5 d (excluding analysis). However, preprocessing and analysis of the sequencing data does require some experience in command-line shell and R programming.
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Affiliation(s)
- Roelof A Wester
- Department of Molecular Biology, Faculty of Science, Oncode Institute, Radboud University, Radboud Institute for Molecular Life Sciences (RIMLS), Nijmegen, the Netherlands
| | - Hannah K Neikes
- Department of Molecular Biology, Faculty of Science, Oncode Institute, Radboud University, Radboud Institute for Molecular Life Sciences (RIMLS), Nijmegen, the Netherlands
| | - Rik G H Lindeboom
- Division of Molecular Genetics, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
| | - Michiel Vermeulen
- Department of Molecular Biology, Faculty of Science, Oncode Institute, Radboud University, Radboud Institute for Molecular Life Sciences (RIMLS), Nijmegen, the Netherlands.
- Division of Molecular Genetics, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
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28
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Li S, Siengdee P, Hadlich F, Trakooljul N, Oster M, Reyer H, Wimmers K, Ponsuksili S. Dynamics of DNA methylation during osteogenic differentiation of porcine synovial membrane mesenchymal stem cells from two metabolically distinct breeds. Epigenetics 2024; 19:2375011. [PMID: 38956836 PMCID: PMC11225923 DOI: 10.1080/15592294.2024.2375011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Accepted: 06/26/2024] [Indexed: 07/04/2024] Open
Abstract
Mesenchymal stem cells (MSCs), with the ability to differentiate into osteoblasts, adipocytes, or chondrocytes, show evidence that the donor cell's metabolic type influences the osteogenic process. Limited knowledge exists on DNA methylation changes during osteogenic differentiation and the impact of diverse donor genetic backgrounds on MSC differentiation. In this study, synovial membrane mesenchymal stem cells (SMSCs) from two pig breeds (Angeln Saddleback, AS; German Landrace, DL) with distinct metabolic phenotypes were isolated, and the methylation pattern of SMSCs during osteogenic induction was investigated. Results showed that most differentially methylated regions (DMRs) were hypomethylated in osteogenic-induced SMSC group. These DMRs were enriched with genes of different osteogenic signalling pathways at different time points including Wnt, ECM, TGFB and BMP signalling pathways. AS pigs consistently exhibited a higher number of hypermethylated DMRs than DL pigs, particularly during the peak of osteogenesis (day 21). Predicting transcription factor motifs in regions of DMRs linked to osteogenic processes and donor breeds revealed influential motifs, including KLF1, NFATC3, ZNF148, ASCL1, FOXI1, and KLF5. These findings contribute to understanding the pattern of methylation changes promoting osteogenic differentiation, emphasizing the substantial role of donor the metabolic type and epigenetic memory of different donors on SMSC differentiation.
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Affiliation(s)
- Shuaichen Li
- Institute of Genome Biology, Research Institute for Farm Animal Biology (FBN), Dummerstorf, Germany
| | - Puntita Siengdee
- Institute of Genome Biology, Research Institute for Farm Animal Biology (FBN), Dummerstorf, Germany
- Program in Applied Biological Sciences: Environmental Health, Chulabhorn Graduate Institute, 906 Kamphaeng Phet 6 Road, Lak-Si, Bangkok, Thailand
| | - Frieder Hadlich
- Institute of Genome Biology, Research Institute for Farm Animal Biology (FBN), Dummerstorf, Germany
| | - Nares Trakooljul
- Institute of Genome Biology, Research Institute for Farm Animal Biology (FBN), Dummerstorf, Germany
| | - Michael Oster
- Institute of Genome Biology, Research Institute for Farm Animal Biology (FBN), Dummerstorf, Germany
| | - Henry Reyer
- Institute of Genome Biology, Research Institute for Farm Animal Biology (FBN), Dummerstorf, Germany
| | - Klaus Wimmers
- Institute of Genome Biology, Research Institute for Farm Animal Biology (FBN), Dummerstorf, Germany
- Faculty of Agricultural and Environmental Sciences, University of Rostock, Rostock, Germany
| | - Siriluck Ponsuksili
- Institute of Genome Biology, Research Institute for Farm Animal Biology (FBN), Dummerstorf, Germany
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29
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Wang X, Li QQ, Tang YX, Li Y, Zhang L, Xu FF, Fu XL, Ye K, Ma JQ, Guo SM, Ma FY, Liu ZY, Shi XH, Li XM, Sun HM, Wu Y, Zhang WY, Ye LH. Oncoprotein LAMTOR5-mediated CHOP silence via DNA hypermethylation and miR-182/miR-769 in promotion of liver cancer growth. Acta Pharmacol Sin 2024; 45:2625-2645. [PMID: 38942954 PMCID: PMC11579023 DOI: 10.1038/s41401-024-01310-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 05/08/2024] [Indexed: 06/30/2024] Open
Abstract
C/EBP homologous protein (CHOP) triggers the death of multiple cancers via endoplasmic reticulum (ER) stress. However, the function and regulatory mechanism of CHOP in liver cancer remain elusive. We have reported that late endosomal/lysosomal adapter, mitogen-activated protein kinase and mTOR activator 5 (LAMTOR5) suppresses apoptosis in various cancers. Here, we show that the transcriptional and posttranscriptional inactivation of CHOP mediated by LAMTOR5 accelerates liver cancer growth. Clinical bioinformatic analysis revealed that the expression of CHOP was low in liver cancer tissues and that its increased expression predicted a good prognosis. Elevated CHOP contributed to destruction of LAMTOR5-induced apoptotic suppression and proliferation. Mechanistically, LAMTOR5-recruited DNA methyltransferase 1 (DNMT1) to the CpG3 region (-559/-429) of the CHOP promoter and potentiated its hypermethylation to block its interaction with general transcription factor IIi (TFII-I), resulting in its inactivation. Moreover, LAMTOR5-enhanced miR-182/miR-769 reduced CHOP expression by targeting its 3'UTR. Notably, lenvatinib, a first-line targeted therapy for liver cancer, could target the LAMTOR5/CHOP axis to prevent liver cancer progression. Accordingly, LAMTOR5-mediated silencing of CHOP via the regulation of ER stress-related apoptosis promotes liver cancer growth, providing a theoretical basis for the use of lenvatinib for the treatment of liver cancer.
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Affiliation(s)
- Xue Wang
- State Key Laboratory of Medicinal Chemical Biology, Tianjin Key Laboratory of Protein Sciences, Department of Biochemistry and Molecular Biology, College of Life Sciences, Nankai University, Tianjin, 300071, China
| | - Qian-Qian Li
- State Key Laboratory of Medicinal Chemical Biology, Tianjin Key Laboratory of Protein Sciences, Department of Biochemistry and Molecular Biology, College of Life Sciences, Nankai University, Tianjin, 300071, China
| | - Yan-Xin Tang
- State Key Laboratory of Medicinal Chemical Biology, Tianjin Key Laboratory of Protein Sciences, Department of Biochemistry and Molecular Biology, College of Life Sciences, Nankai University, Tianjin, 300071, China
| | - Ye Li
- State Key Laboratory of Medicinal Chemical Biology, Tianjin Key Laboratory of Protein Sciences, Department of Biochemistry and Molecular Biology, College of Life Sciences, Nankai University, Tianjin, 300071, China
| | - Lu Zhang
- State Key Laboratory of Medicinal Chemical Biology, Tianjin Key Laboratory of Protein Sciences, Department of Biochemistry and Molecular Biology, College of Life Sciences, Nankai University, Tianjin, 300071, China
- Chinese Academy of Medical Sciences & Peking Union Medical College Institute of Biomedical Engineering, Tianjin, 300192, China
| | - Fei-Fei Xu
- State Key Laboratory of Medicinal Chemical Biology, Tianjin Key Laboratory of Protein Sciences, Department of Biochemistry and Molecular Biology, College of Life Sciences, Nankai University, Tianjin, 300071, China
- Institute of Radiation Medicine, Peking Union Medical College & Chinese Academy of Medical Sciences, Tianjin, 300192, China
| | - Xue-Li Fu
- State Key Laboratory of Medicinal Chemical Biology, Tianjin Key Laboratory of Protein Sciences, Department of Biochemistry and Molecular Biology, College of Life Sciences, Nankai University, Tianjin, 300071, China
| | - Kai Ye
- State Key Laboratory of Medicinal Chemical Biology, Tianjin Key Laboratory of Protein Sciences, Department of Biochemistry and Molecular Biology, College of Life Sciences, Nankai University, Tianjin, 300071, China
| | - Jia-Qi Ma
- State Key Laboratory of Medicinal Chemical Biology, Tianjin Key Laboratory of Protein Sciences, Department of Biochemistry and Molecular Biology, College of Life Sciences, Nankai University, Tianjin, 300071, China
| | - Shi-Man Guo
- State Key Laboratory of Medicinal Chemical Biology, Tianjin Key Laboratory of Protein Sciences, Department of Biochemistry and Molecular Biology, College of Life Sciences, Nankai University, Tianjin, 300071, China
| | - Fang-Yuan Ma
- State Key Laboratory of Medicinal Chemical Biology, Tianjin Key Laboratory of Protein Sciences, Department of Biochemistry and Molecular Biology, College of Life Sciences, Nankai University, Tianjin, 300071, China
| | - Zhi-Yu Liu
- State Key Laboratory of Medicinal Chemical Biology, Tianjin Key Laboratory of Protein Sciences, Department of Biochemistry and Molecular Biology, College of Life Sciences, Nankai University, Tianjin, 300071, China
| | - Xu-He Shi
- State Key Laboratory of Medicinal Chemical Biology, Tianjin Key Laboratory of Protein Sciences, Department of Biochemistry and Molecular Biology, College of Life Sciences, Nankai University, Tianjin, 300071, China
| | - Xian-Meng Li
- State Key Laboratory of Medicinal Chemical Biology, Tianjin Key Laboratory of Protein Sciences, Department of Biochemistry and Molecular Biology, College of Life Sciences, Nankai University, Tianjin, 300071, China
| | - Hui-Min Sun
- State Key Laboratory of Medicinal Chemical Biology, Tianjin Key Laboratory of Protein Sciences, Department of Biochemistry and Molecular Biology, College of Life Sciences, Nankai University, Tianjin, 300071, China
| | - Yue Wu
- State Key Laboratory of Medicinal Chemical Biology, Tianjin Key Laboratory of Protein Sciences, Department of Biochemistry and Molecular Biology, College of Life Sciences, Nankai University, Tianjin, 300071, China
- Center for Cell Structure and Function, Shandong Provincial Key Laboratory of Animal Resistance Biology, Collaborative Innovation Center of Cell Biology in Universities of Shandong, College of Life Sciences, Shandong Normal University, Jinan, 250014, China
| | - Wei-Ying Zhang
- State Key Laboratory of Medicinal Chemical Biology, Tianjin Key Laboratory of Protein Sciences, Department of Biochemistry and Molecular Biology, College of Life Sciences, Nankai University, Tianjin, 300071, China.
| | - Li-Hong Ye
- State Key Laboratory of Medicinal Chemical Biology, Tianjin Key Laboratory of Protein Sciences, Department of Biochemistry and Molecular Biology, College of Life Sciences, Nankai University, Tianjin, 300071, China.
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Migliaccio G, Morikka J, Del Giudice G, Vaani M, Möbus L, Serra A, Federico A, Greco D. Methylation and transcriptomic profiling reveals short term and long term regulatory responses in polarized macrophages. Comput Struct Biotechnol J 2024; 25:143-152. [PMID: 39257962 PMCID: PMC11385784 DOI: 10.1016/j.csbj.2024.08.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2024] [Revised: 08/15/2024] [Accepted: 08/15/2024] [Indexed: 09/12/2024] Open
Abstract
Macrophage plasticity allows the adoption of distinct functional states in response to environmental cues. While unique transcriptomic profiles define these states, focusing solely on transcription neglects potential long-term effects. The investigation of epigenetic changes can be used to understand how temporary stimuli can result in lasting effects. Epigenetic alterations play an important role in the pathophysiology of macrophages, including their trained innate immunity, enabling faster and more efficient inflammatory responses upon subsequent encounters to the same pathogen or insult. In this study, we used a multi-omics approach to elucidate the interplay between gene expression and DNA-methylation, to explore the potential long-term effects of diverse polarizing environments on macrophage activity. We identified a common core set of genes that are differentially methylated regardless of exposure type, indicating a potential common fundamental mechanism for adaptation to various stimuli. Functional analysis revealed that processes requiring rapid responses displayed transcriptomic regulation, whereas functions critical for long-term adaptations exhibited co-regulation at both transcriptomic and epigenetic levels. Our study uncovers a novel set of genes linked to the long-term effects of macrophage polarization. This discovery underscores the potential of epigenetics in elucidating how macrophages establish long-term memory and influence health outcomes.
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Affiliation(s)
- Giorgia Migliaccio
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Jack Morikka
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Tampere Institute for Advanced Study, Tampere University, Tampere, Finland
| | - Giusy Del Giudice
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Division of Pharmaceutical Biosciences, Faculty of Pharmacy, University of Helsinki, Helsinki, Finland
| | - Maaret Vaani
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Lena Möbus
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Angela Serra
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Tampere Institute for Advanced Study, Tampere University, Tampere, Finland
- Division of Pharmaceutical Biosciences, Faculty of Pharmacy, University of Helsinki, Helsinki, Finland
| | - Antonio Federico
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Tampere Institute for Advanced Study, Tampere University, Tampere, Finland
- Division of Pharmaceutical Biosciences, Faculty of Pharmacy, University of Helsinki, Helsinki, Finland
| | - Dario Greco
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Division of Pharmaceutical Biosciences, Faculty of Pharmacy, University of Helsinki, Helsinki, Finland
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31
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Zhao T, Guan X, Hu Y, Zhang Z, Yang H, Shi X, Han J, Mei H, Wang L, Shao L, Wu H, Chen Q, Zhao Y, Pan J, Hao Y, Dong Z, Long X, Deng Q, Zhao S, Zhang M, Zhu Y, Ma X, Chen Z, Deng Y, Si Z, Li X, Zhang T, Gu F, Gu X, Fang L. Population-wide DNA methylation polymorphisms at single-nucleotide resolution in 207 cotton accessions reveal epigenomic contributions to complex traits. Cell Res 2024; 34:859-872. [PMID: 39420233 PMCID: PMC11615300 DOI: 10.1038/s41422-024-01027-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 08/01/2024] [Indexed: 10/19/2024] Open
Abstract
DNA methylation plays multiple regulatory roles in crop development. However, the relationships of methylation polymorphisms with genetic polymorphisms, gene expression, and phenotypic variation in natural crop populations remain largely unknown. Here, we surveyed high-quality methylomes, transcriptomes, and genomes obtained from the 20-days-post-anthesis (DPA) cotton fibers of 207 accessions and extended the classical framework of population genetics to epigenetics. Over 287 million single methylation polymorphisms (SMPs) were identified, 100 times more than the number of single nucleotide polymorphisms (SNPs). These SMPs were significantly enriched in intragenic regions while depleted in transposable elements. Association analysis further identified a total of 5,426,782 cis-methylation quantitative trait loci (cis-meQTLs), 5078 cis-expression quantitative trait methylation (cis-eQTMs), and 9157 expression quantitative trait loci (eQTLs). Notably, 36.39% of cis-eQTM genes were not associated with genetic variation, indicating that a large number of SMPs associated with gene expression variation are independent of SNPs. In addition, out of the 1715 epigenetic loci associated with yield and fiber quality traits, only 36 (2.10%) were shared with genome-wide association study (GWAS) loci. The construction of multi-omics regulatory networks revealed 43 cis-eQTM genes potentially involved in fiber development, which cannot be identified by GWAS alone. Among these genes, the role of one encoding CBL-interacting protein kinase 10 in fiber length regulation was successfully validated through gene editing. Taken together, our findings prove that DNA methylation data can serve as an additional resource for breeding purposes and can offer opportunities to enhance and expedite the crop improvement process.
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Affiliation(s)
- Ting Zhao
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, the Advance Seed Institute, Key Laboratory of Plant FactoryGeneration-adding Breeding, Ministry of Agriculture and Rural Affairs, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang, China
| | - Xueying Guan
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, the Advance Seed Institute, Key Laboratory of Plant FactoryGeneration-adding Breeding, Ministry of Agriculture and Rural Affairs, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang, China
| | - Yan Hu
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, the Advance Seed Institute, Key Laboratory of Plant FactoryGeneration-adding Breeding, Ministry of Agriculture and Rural Affairs, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang, China
| | - Ziqian Zhang
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, the Advance Seed Institute, Key Laboratory of Plant FactoryGeneration-adding Breeding, Ministry of Agriculture and Rural Affairs, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang, China
| | - Han Yang
- Damo Academy, Alibaba Group, Hangzhou, Zhejiang, China
| | - Xiaowen Shi
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, the Advance Seed Institute, Key Laboratory of Plant FactoryGeneration-adding Breeding, Ministry of Agriculture and Rural Affairs, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang, China
| | - Jin Han
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, the Advance Seed Institute, Key Laboratory of Plant FactoryGeneration-adding Breeding, Ministry of Agriculture and Rural Affairs, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang, China
| | - Huan Mei
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, the Advance Seed Institute, Key Laboratory of Plant FactoryGeneration-adding Breeding, Ministry of Agriculture and Rural Affairs, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang, China
| | - Luyao Wang
- Hainan Institute of Zhejiang University, Yazhou Bay Science and Technology City, Yazhou District, Sanya, Hainan, China
| | - Lei Shao
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, the Advance Seed Institute, Key Laboratory of Plant FactoryGeneration-adding Breeding, Ministry of Agriculture and Rural Affairs, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang, China
| | - Hongyu Wu
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, the Advance Seed Institute, Key Laboratory of Plant FactoryGeneration-adding Breeding, Ministry of Agriculture and Rural Affairs, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang, China
| | - Qianqian Chen
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, the Advance Seed Institute, Key Laboratory of Plant FactoryGeneration-adding Breeding, Ministry of Agriculture and Rural Affairs, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang, China
| | - Yongyan Zhao
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, the Advance Seed Institute, Key Laboratory of Plant FactoryGeneration-adding Breeding, Ministry of Agriculture and Rural Affairs, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang, China
| | - Jiaying Pan
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, the Advance Seed Institute, Key Laboratory of Plant FactoryGeneration-adding Breeding, Ministry of Agriculture and Rural Affairs, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang, China
| | - Yupeng Hao
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, the Advance Seed Institute, Key Laboratory of Plant FactoryGeneration-adding Breeding, Ministry of Agriculture and Rural Affairs, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang, China
| | - Zeyu Dong
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, the Advance Seed Institute, Key Laboratory of Plant FactoryGeneration-adding Breeding, Ministry of Agriculture and Rural Affairs, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang, China
| | - Xuan Long
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, the Advance Seed Institute, Key Laboratory of Plant FactoryGeneration-adding Breeding, Ministry of Agriculture and Rural Affairs, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang, China
| | - Qian Deng
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, the Advance Seed Institute, Key Laboratory of Plant FactoryGeneration-adding Breeding, Ministry of Agriculture and Rural Affairs, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang, China
| | - Shengjun Zhao
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, the Advance Seed Institute, Key Laboratory of Plant FactoryGeneration-adding Breeding, Ministry of Agriculture and Rural Affairs, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang, China
- Hainan Institute of Zhejiang University, Yazhou Bay Science and Technology City, Yazhou District, Sanya, Hainan, China
| | - Mengke Zhang
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, the Advance Seed Institute, Key Laboratory of Plant FactoryGeneration-adding Breeding, Ministry of Agriculture and Rural Affairs, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang, China
- Hainan Institute of Zhejiang University, Yazhou Bay Science and Technology City, Yazhou District, Sanya, Hainan, China
| | - Yumeng Zhu
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, the Advance Seed Institute, Key Laboratory of Plant FactoryGeneration-adding Breeding, Ministry of Agriculture and Rural Affairs, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang, China
- Hainan Institute of Zhejiang University, Yazhou Bay Science and Technology City, Yazhou District, Sanya, Hainan, China
| | - Xiaowei Ma
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, the Advance Seed Institute, Key Laboratory of Plant FactoryGeneration-adding Breeding, Ministry of Agriculture and Rural Affairs, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang, China
| | - Zequan Chen
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, the Advance Seed Institute, Key Laboratory of Plant FactoryGeneration-adding Breeding, Ministry of Agriculture and Rural Affairs, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang, China
| | - Yayuan Deng
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, the Advance Seed Institute, Key Laboratory of Plant FactoryGeneration-adding Breeding, Ministry of Agriculture and Rural Affairs, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang, China
- Hainan Institute of Zhejiang University, Yazhou Bay Science and Technology City, Yazhou District, Sanya, Hainan, China
| | - Zhanfeng Si
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, the Advance Seed Institute, Key Laboratory of Plant FactoryGeneration-adding Breeding, Ministry of Agriculture and Rural Affairs, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang, China
| | - Xin Li
- Damo Academy, Alibaba Group, Hangzhou, Zhejiang, China
- Hupan Lab, Hangzhou, Zhejiang, China
| | - Tianzhen Zhang
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, the Advance Seed Institute, Key Laboratory of Plant FactoryGeneration-adding Breeding, Ministry of Agriculture and Rural Affairs, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang, China.
- Hainan Institute of Zhejiang University, Yazhou Bay Science and Technology City, Yazhou District, Sanya, Hainan, China.
| | - Fei Gu
- Damo Academy, Alibaba Group, Hangzhou, Zhejiang, China.
- Hupan Lab, Hangzhou, Zhejiang, China.
| | - Xiaofeng Gu
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China.
| | - Lei Fang
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, the Advance Seed Institute, Key Laboratory of Plant FactoryGeneration-adding Breeding, Ministry of Agriculture and Rural Affairs, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang, China.
- Hainan Institute of Zhejiang University, Yazhou Bay Science and Technology City, Yazhou District, Sanya, Hainan, China.
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Pepin AS, Jazwiec PA, Dumeaux V, Sloboda DM, Kimmins S. Determining the effects of paternal obesity on sperm chromatin at histone H3 lysine 4 tri-methylation in relation to the placental transcriptome and cellular composition. eLife 2024; 13:e83288. [PMID: 39612469 PMCID: PMC11717366 DOI: 10.7554/elife.83288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 11/28/2024] [Indexed: 12/01/2024] Open
Abstract
Paternal obesity has been implicated in adult-onset metabolic disease in offspring. However, the molecular mechanisms driving these paternal effects and the developmental processes involved remain poorly understood. One underexplored possibility is the role of paternally induced effects on placenta development and function. To address this, we investigated paternal high-fat diet-induced obesity in relation to sperm histone H3 lysine 4 tri-methylation signatures, the placenta transcriptome, and cellular composition. C57BL6/J male mice were fed either a control or high-fat diet for 10 weeks beginning at 6 weeks of age. Males were timed-mated with control-fed C57BL6/J females to generate pregnancies, followed by collection of sperm, and placentas at embryonic day (E)14.5. Chromatin immunoprecipitation targeting histone H3 lysine 4 tri-methylation (H3K4me3) followed by sequencing (ChIP-seq) was performed on sperm to define obesity-associated changes in enrichment. Paternal obesity corresponded with altered sperm H3K4me3 at promoters of genes involved in metabolism and development. Notably, altered sperm H3K4me3 was also localized at placental enhancers. Bulk RNA-sequencing on placentas revealed paternal obesity-associated sex-specific changes in expression of genes involved in hypoxic processes such as angiogenesis, nutrient transport, and imprinted genes, with a subset of de-regulated genes showing changes in H3K4me3 in sperm at corresponding promoters. Paternal obesity was also linked to impaired placenta development; specifically, a deconvolution analysis revealed altered trophoblast cell lineage specification. These findings implicate paternal obesity effects on placenta development and function as one potential developmental route to offspring metabolic disease.
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Affiliation(s)
- Anne-Sophie Pepin
- Department of Pharmacology and Therapeutics, Faculty of Medicine, McGill UniversityMontrealCanada
| | - Patrycja A Jazwiec
- Department of Biochemistry and Biomedical Sciences, McMaster UniversityHamiltonCanada
| | - Vanessa Dumeaux
- Departments of Anatomy & Cell Biology and Oncology, Western UniversityLondonCanada
| | - Deborah M Sloboda
- Department of Biochemistry and Biomedical Sciences, McMaster UniversityHamiltonCanada
- Farncombe Family Digestive Health Research Institute, McMaster University HamiltonHamiltonCanada
- Departments of Obstetrics and Gynecology, and Pediatrics, McMaster UniversityHamiltonCanada
| | - Sarah Kimmins
- Department of Pharmacology and Therapeutics, Faculty of Medicine, McGill UniversityMontrealCanada
- Department of Pathology and Molecular Biology, University of Montreal, University of Montreal Hospital Research CenterMontrealCanada
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He R, Liu Y, Fu W, He X, Liu S, Xiao D, Tao Y. Mechanisms and cross-talk of regulated cell death and their epigenetic modifications in tumor progression. Mol Cancer 2024; 23:267. [PMID: 39614268 PMCID: PMC11606237 DOI: 10.1186/s12943-024-02172-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2024] [Accepted: 11/07/2024] [Indexed: 12/01/2024] Open
Abstract
Cell death is a fundamental part of life for metazoans. To maintain the balance between cell proliferation and metabolism of human bodies, a certain number of cells need to be removed regularly. Hence, the mechanisms of cell death have been preserved during the evolution of multicellular organisms. Tumorigenesis is closely related with exceptional inhibition of cell death. Mutations or defects in cell death-related genes block the elimination of abnormal cells and enhance the resistance of malignant cells to chemotherapy. Therefore, the investigation of cell death mechanisms enables the development of drugs that directly induce tumor cell death. In the guidelines updated by the Cell Death Nomenclature Committee (NCCD) in 2018, cell death was classified into 12 types according to morphological, biochemical and functional classification, including intrinsic apoptosis, extrinsic apoptosis, mitochondrial permeability transition (MPT)-driven necrosis, necroptosis, ferroptosis, pyroptosis, PARP-1 parthanatos, entotic cell death, NETotic cell death, lysosome-dependent cell death, autophagy-dependent cell death, immunogenic cell death, cellular senescence and mitotic catastrophe. The mechanistic relationships between epigenetic controls and cell death in cancer progression were previously unclear. In this review, we will summarize the mechanisms of cell death pathways and corresponding epigenetic regulations. Also, we will explore the extensive interactions between these pathways and discuss the mechanisms of cell death in epigenetics which bring benefits to tumor therapy.
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Affiliation(s)
- Ruimin He
- Hunan Key Laboratory of Cancer Metabolism, Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, 410078, China
- Cancer Research Institute and School of Basic Medicine, Central South University, Changsha, Hunan, 410078, China
- Department of Pathology, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Xiangya Hospital, Central South University, Hunan, 410078, China
| | - Yifan Liu
- Hunan Key Laboratory of Cancer Metabolism, Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, 410078, China
- Cancer Research Institute and School of Basic Medicine, Central South University, Changsha, Hunan, 410078, China
- Department of Pathology, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Xiangya Hospital, Central South University, Hunan, 410078, China
| | - Weijie Fu
- Hunan Key Laboratory of Cancer Metabolism, Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, 410078, China
- Cancer Research Institute and School of Basic Medicine, Central South University, Changsha, Hunan, 410078, China
- Department of Pathology, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Xiangya Hospital, Central South University, Hunan, 410078, China
| | - Xuan He
- Hunan Key Laboratory of Cancer Metabolism, Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, 410078, China
- Cancer Research Institute and School of Basic Medicine, Central South University, Changsha, Hunan, 410078, China
- Department of Pathology, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Xiangya Hospital, Central South University, Hunan, 410078, China
| | - Shuang Liu
- Department of Oncology, Institute of Medical Sciences, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
| | - Desheng Xiao
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
| | - Yongguang Tao
- Hunan Key Laboratory of Cancer Metabolism, Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, 410078, China.
- Cancer Research Institute and School of Basic Medicine, Central South University, Changsha, Hunan, 410078, China.
- Department of Pathology, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Xiangya Hospital, Central South University, Hunan, 410078, China.
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
- Department of Thoracic Surgery, Hunan Key Laboratory of Early Diagnosis and Precision Therapy in Lung Cancer, Second Xiangya Hospital, Central South University, Changsha, 410011, China.
- Furong Laboratory, Xiangya School of Medicine, Central South University, Hunan, 410078, China.
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de Martin X, Oliva B, Santpere G. Recruitment of homodimeric proneural factors by conserved CAT-CAT E-boxes drives major epigenetic reconfiguration in cortical neurogenesis. Nucleic Acids Res 2024; 52:12895-12917. [PMID: 39494521 PMCID: PMC11602148 DOI: 10.1093/nar/gkae950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2024] [Revised: 10/03/2024] [Accepted: 10/09/2024] [Indexed: 11/05/2024] Open
Abstract
Proneural factors of the basic helix-loop-helix family coordinate neurogenesis and neurodifferentiation. Among them, NEUROG2 and NEUROD2 subsequently act to specify neurons of the glutamatergic lineage. Disruption of these factors, their target genes and binding DNA motifs has been linked to various neuropsychiatric disorders. Proneural factors bind to specific DNA motifs called E-boxes (hexanucleotides of the form CANNTG, composed of two CAN half sites on opposed strands). While corticogenesis heavily relies on E-box activity, the collaboration of proneural factors on different E-box types and their chromatin remodeling mechanisms remain largely unknown. Here, we conducted a comprehensive analysis using chromatin immunoprecipitation followed by sequencing (ChIP-seq) data for NEUROG2 and NEUROD2, along with time-matched single-cell RNA-seq, ATAC-seq and DNA methylation data from the developing mouse cortex. Our findings show that these factors are highly enriched in transiently active genomic regions during intermediate stages of neuronal differentiation. Although they primarily bind CAG-containing E-boxes, their binding in dynamic regions is notably enriched in CAT-CAT E-boxes (i.e. CATATG, denoted as 5'3' half sites for dimers), which undergo significant DNA demethylation and exhibit the highest levels of evolutionary constraint. Aided by HT-SELEX data reanalysis, structural modeling and DNA footprinting, we propose that these proneural factors exert maximal chromatin remodeling influence during intermediate stages of neurogenesis by binding as homodimers to CAT-CAT motifs. This study provides an in-depth integrative analysis of the dynamic regulation of E-boxes during neuronal development, enhancing our understanding of the mechanisms underlying the binding specificity of critical proneural factors.
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Affiliation(s)
- Xabier de Martin
- Neurogenomics Group, Hospital del Mar Research Institute, Parc de Recerca Biomèdica de Barcelona (PRBB), Dr. Aiguader, 88, Barcelona 08003, Catalonia, Spain
| | - Baldomero Oliva
- Structural Bioinformatics Lab (GRIB-IMIM), Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Dr. Aiguader, 88, Barcelona 08003 Catalonia, Spain
| | - Gabriel Santpere
- Neurogenomics Group, Hospital del Mar Research Institute, Parc de Recerca Biomèdica de Barcelona (PRBB), Dr. Aiguader, 88, Barcelona 08003, Catalonia, Spain
- Department of Neuroscience, Yale School of Medicine, 333 Cedar st., New Haven, CT 06510, USA
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Chouljenko AV, Stanfield BA, Melnyk TO, Dutta O, Chouljenko VN. A Repetitive Acipenser gueldenstaedtii Genomic Region Aligning with the Acipenser baerii IGLV Gene Cluster Suggests a Role as a Transcription Termination Element Across Several Sturgeon Species. Int J Mol Sci 2024; 25:12685. [PMID: 39684396 DOI: 10.3390/ijms252312685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2024] [Revised: 11/18/2024] [Accepted: 11/24/2024] [Indexed: 12/18/2024] Open
Abstract
This study focuses on the common presence of repetitive sequences within the sturgeon genome that may contribute to enhanced immune responses against infectious diseases. A repetitive 675 bp VAC-2M sequence in Russian sturgeon DNA that aligns with the Siberian sturgeon IGLV gene cluster was identified. A specific 218 bp long portion of the sequence was found to be identical between Acipenser gueldenstaedtii, A. baerii and A. stellatus species, and NCBI blast analysis confirmed the presence of this DNA segment in the A. ruthenus genome. Multiple mutated copies of the same genomic region were detected by PCR analysis, indicating that different versions of this highly repetitive sequence exist simultaneously within the same organism. The selection toward specific genetic differences appears to be highly conserved based on the sequence variations within DNA originating from fish grown at distant geographical regions and individual caviar grains from the same fish. The corresponding A. baerii genomic region encompassing the 357 bp DNA sequence was cloned either ahead or after the human cytomegalovirus immediate early promoter (HCMV-IE) into a pBV-Luc reporter vector expressing the luciferase gene. The DNA segment significantly reduced luciferase expression in transient transfection/expression experiments. The results indicate that this genomic region functions as a transcription termination element that may affect antibody production in sturgeons.
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Affiliation(s)
- Alexander V Chouljenko
- Department of Food, Bioprocessing and Nutrition Sciences, North Carolina State University, Center for Marine Sciences and Technology, Morehead City, NC 28557, USA
| | - Brent A Stanfield
- Department of Pathobiological Sciences, Louisiana State University School of Veterinary Medicine, Baton Rouge, LA 70803, USA
| | - Tetiana O Melnyk
- Department of Pathobiological Sciences, Louisiana State University School of Veterinary Medicine, Baton Rouge, LA 70803, USA
- Division of Biotechnology and Molecular Medicine, Louisiana State University School of Veterinary Medicine, Baton Rouge, LA 70803, USA
| | - Ojasvi Dutta
- Department of Pathobiological Sciences, Louisiana State University School of Veterinary Medicine, Baton Rouge, LA 70803, USA
- Division of Biotechnology and Molecular Medicine, Louisiana State University School of Veterinary Medicine, Baton Rouge, LA 70803, USA
| | - Vladimir N Chouljenko
- Department of Pathobiological Sciences, Louisiana State University School of Veterinary Medicine, Baton Rouge, LA 70803, USA
- Division of Biotechnology and Molecular Medicine, Louisiana State University School of Veterinary Medicine, Baton Rouge, LA 70803, USA
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36
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Zhao B, Yu X, Shi J, Ma S, Li S, Shi H, Xia S, Ye Y, Zhang Y, Du Y, Wang Q. A stepwise mode of TGFβ-SMAD signaling and DNA methylation regulates naïve-to-primed pluripotency and differentiation. Nat Commun 2024; 15:10123. [PMID: 39578449 PMCID: PMC11584862 DOI: 10.1038/s41467-024-54433-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 11/12/2024] [Indexed: 11/24/2024] Open
Abstract
The formation of transcription regulatory complexes by the association of Smad4 with Smad2 and Smad3 (Smad2/3) is crucial in the canonical TGFβ pathway. Although the central requirement of Smad4 as a common mediator is emphasized in regulating TGFβ signaling, it is not obligatory for all responses. The role of Smad2/3 independently of Smad4 remains understudied. Here, we introduce a stepwise paradigm in which Smad2/3 regulate the lineage priming and differentiation of mouse embryonic stem cells (mESCs) by collaboration with different effectors. During the naïve-to-primed transition, Smad2/3 upregulate DNA methyltransferase 3b (Dnmt3b), which establishes the proper DNA methylation patterns and, in turn, enables Smad2/3 binding to the hypomethylated centers of promoters and enhancers of epiblast marker genes. Consequently, in the absence of Smad2/3, Smad4 alone cannot initiate epiblast-specific gene transcription. When primed epiblast cells begin to differentiate, Dnmt3b becomes less actively engaged in global genome methylation, and Smad4 takes over the baton in this relay race, forming a complex with Smad2/3 to support mesendoderm induction. Thus, mESCs lacking Smad4 can undergo the priming process but struggle with the downstream differentiation. This work sheds light on the intricate mechanisms underlying TGFβ signaling and its role in cellular processes.
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Affiliation(s)
- Bingnan Zhao
- Department of Histoembryology, Genetics and Developmental Biology, Shanghai Key Laboratory of Reproductive Medicine, Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Frontiers Science Center of Cellular Homeostasis and Human Diseases, Shanghai, China
| | - Xiuwei Yu
- Department of Histoembryology, Genetics and Developmental Biology, Shanghai Key Laboratory of Reproductive Medicine, Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Frontiers Science Center of Cellular Homeostasis and Human Diseases, Shanghai, China
| | - Jintong Shi
- Shanghai Institute of Immunology, State Key Laboratory of Oncogenes and Related Genes, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shuangyu Ma
- Department of Histoembryology, Genetics and Developmental Biology, Shanghai Key Laboratory of Reproductive Medicine, Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Frontiers Science Center of Cellular Homeostasis and Human Diseases, Shanghai, China
| | - Shizhao Li
- Department of Histoembryology, Genetics and Developmental Biology, Shanghai Key Laboratory of Reproductive Medicine, Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Frontiers Science Center of Cellular Homeostasis and Human Diseases, Shanghai, China
| | - Haitao Shi
- Department of Histoembryology, Genetics and Developmental Biology, Shanghai Key Laboratory of Reproductive Medicine, Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shoubing Xia
- Department of Histoembryology, Genetics and Developmental Biology, Shanghai Key Laboratory of Reproductive Medicine, Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Frontiers Science Center of Cellular Homeostasis and Human Diseases, Shanghai, China
| | - Youqiong Ye
- Shanghai Institute of Immunology, State Key Laboratory of Oncogenes and Related Genes, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yongchun Zhang
- State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic and Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
| | - Yanhua Du
- Shanghai Institute of Immunology, State Key Laboratory of Oncogenes and Related Genes, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Qiong Wang
- Department of Histoembryology, Genetics and Developmental Biology, Shanghai Key Laboratory of Reproductive Medicine, Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
- Shanghai Frontiers Science Center of Cellular Homeostasis and Human Diseases, Shanghai, China.
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Takenaka Y, Watanabe M. Environmental Factor Index (EFI): A Novel Approach to Measure the Strength of Environmental Influence on DNA Methylation in Identical Twins. EPIGENOMES 2024; 8:44. [PMID: 39584967 PMCID: PMC11587003 DOI: 10.3390/epigenomes8040044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2024] [Revised: 11/13/2024] [Accepted: 11/19/2024] [Indexed: 11/26/2024] Open
Abstract
BACKGROUND/OBJECTIVES The dynamic interaction between genomic DNA, epigenetic modifications, and phenotypic traits was examined in identical twins. Environmental perturbations can induce epigenetic changes in DNA methylation, influencing gene expression and phenotypes. Although DNA methylation mediates gene-environment correlations, the quantitative effects of external factors on DNA methylation remain underexplored. This study aimed to quantify these effects using a novel approach. METHODS A cohort study was conducted on healthy monozygotic twins to evaluate the influence of environmental stimuli on DNA methylation. We developed the Environmental Factor Index (EFI) to identify methylation sites showing statistically significant changes in response to environmental stimuli. We analyzed the identified sites for associations with disorders, DNA methylation markers, and CpG islands. RESULTS The EFI identified methylation sites that exhibited significant associations with genes linked to various disorders, particularly cancer. These sites were overrepresented on CpG islands compared to other genomic features, highlighting their regulatory importance. CONCLUSIONS The EFI is a valuable tool for understanding the molecular mechanisms underlying disease pathogenesis. It provides insights into the development of preventive and therapeutic strategies and offers a new perspective on the role of environmental factors in epigenetic regulation.
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Affiliation(s)
- Yoichi Takenaka
- Faculty of Informatics, Kansai University, Osaka 569-1052, Japan
- Center for Twin Research, Graduate School of Medicine, The University of Osaka, Osaka 565-0871, Japan (M.W.)
| | - Osaka Twin Research Group
- Center for Twin Research, Graduate School of Medicine, The University of Osaka, Osaka 565-0871, Japan (M.W.)
| | - Mikio Watanabe
- Center for Twin Research, Graduate School of Medicine, The University of Osaka, Osaka 565-0871, Japan (M.W.)
- Department of Clinical Laboratory and Biomedical Sciences, Graduate School of Medicine, The University of Osaka, Osaka 565-0871, Japan
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Chakraborty P, Mukherjee C. The interplay of metabolic and epigenetic players in disease development. Biochem Biophys Res Commun 2024; 734:150621. [PMID: 39217811 DOI: 10.1016/j.bbrc.2024.150621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2024] [Revised: 08/14/2024] [Accepted: 08/28/2024] [Indexed: 09/04/2024]
Abstract
Epigenetic modifications and their alterations can cause variation in gene expression patterns which can ultimately affect a healthy individual. Until a few years ago, it was thought that the epigenome affects the transcriptome which can regulate the proteome and the metabolome. Recent studies have shown that the metabolome independently also plays a major role in regulating the epigenome bypassing the need for transcriptomic control. Alternatively, an imbalanced metabolome, stemming from transcriptome abnormalities, can further impact the transcriptome, creating a self-perpetuating cycle of interconnected occurrences. As a result, external factors such as nutrient intake and diet can have a direct impact on the metabolic pools and its reprogramming can change the levels and activity of epigenetic modifiers. Thus, the epigenetic landscape steers toward a diseased condition. In this review, we have discussed how different metabolites and dietary patterns can bring about changes in different arms of the epigenetic machinery such as methylation, acetylation as well as RNA mediated epigenetic mechanisms. We checked for limiting metabolites such as αKG, acetyl-CoA, ATP, NAD+, and FAD, whose abundance levels can lead to common diseases such as cancer, neurodegeneration etc. This gives a clearer picture of how an integrated approach including both epigenetics and metabolomics can be used for therapeutic purposes.
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Affiliation(s)
- Pallavi Chakraborty
- RNABio Lab, Institute of Health Sciences, Presidency University, Kolkata, West Bengal, India; Shiv Nadar Institute of Eminence, Greater Noida, Uttar Pradesh, India
| | - Chandrama Mukherjee
- RNABio Lab, Institute of Health Sciences, Presidency University, Kolkata, West Bengal, India.
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Collins JM, Wang D. DNA Methylation in the CYP3A Distal Regulatory Region (DRR) Is Associated with the Expression of CYP3A5 and CYP3A7 in Human Liver Samples. Molecules 2024; 29:5407. [PMID: 39598796 PMCID: PMC11596782 DOI: 10.3390/molecules29225407] [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: 10/03/2024] [Revised: 11/13/2024] [Accepted: 11/15/2024] [Indexed: 11/29/2024] Open
Abstract
CYP3As are important drug-metabolizing enzymes in the liver. The causes for large inter-person variability in CYP3A expression/activity remain poorly understood. DNA methylation broadly regulates gene expression and the developmental transition from fetal CYP3A7 to adult CYP3A4, and CpG methylation upstream of the CYP3A4 promoter is associated with its expression. However, because non-promoter CYP3A regulatory regions remain largely uncharacterized, how DNA methylation influences CYP3A expression has yet to be fully explored. We recently identified a distal regulatory region (DRR) that controls the expression of CYP3A4, CYP3A5, and CYP3A7. Here, we investigated the relationship between CYP3A expression and the methylation status of 16 CpG sites within the DRR in 70 liver samples. We found significant associations between DRR methylation and the expression of CYP3A5 and CYP3A7 but not CYP3A4, indicating differential CYP3A regulation by the DRR. Also, we observed a dynamic reduction in DRR DNA methylation during the differentiation of induced pluripotent stem cells to hepatocytes, which correlated with increased CYP3A expression. We then evaluated the relative contribution of genetic variants, TFs, and DRR DNA methylation on CYP3A expression in liver samples. Our results reinforce the DRR as a CYP3A regulator and suggest that DNA methylation may impact CYP3A-mediated drug metabolism.
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Affiliation(s)
| | - Danxin Wang
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, FL 32610, USA;
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40
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Gralak AJ, Faltejskova K, Yang AW, Steiner C, Russeil J, Grenningloh N, Inukai S, Demir M, Dainese R, Owen C, Pankevich E, Hughes TR, Kulakovskiy IV, Kribelbauer-Swietek JF, van Mierlo G, Deplancke B. Identification of methylation-sensitive human transcription factors using meSMiLE-seq. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.11.11.619598. [PMID: 39605503 PMCID: PMC11601298 DOI: 10.1101/2024.11.11.619598] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/29/2024]
Abstract
Transcription factors (TFs) are key players in eukaryotic gene regulation, but the DNA binding specificity of many TFs remains unknown. Here, we assayed 284 mostly poorly characterized, putative human TFs using selective microfluidics-based ligand enrichment followed by sequencing (SMiLE-seq), revealing 72 new DNA binding motifs. To investigate whether some of the 158 TFs for which we did not find motifs preferably bind epigenetically modified DNA (i.e. methylated CG dinucleotides), we developed methylation-sensitive SMiLE-seq (meSMiLE-seq). This microfluidic assay simultaneously probes the affinity of a protein to methylated and unmethylated DNA, augmenting the capabilities of the original method to infer methylation-aware binding sites. We assayed 114 TFs with meSMiLE-seq and identified DNA-binding models for 48 proteins, including the known methylation-sensitive binding modes for POU5F1 and RFX5. For 11 TFs, binding to methylated DNA was preferred or resulted in the discovery of alternative, methylation-dependent motifs (e.g. PRDM13), while aversion towards methylated sequences was found for 13 TFs (e.g. USF3). Finally, we uncovered a potential role for ZHX2 as a putative binder of Z-DNA, a left-handed helical DNA structure which is adopted more frequently upon CpG methylation. Altogether, our study significantly expands the human TF codebook by identifying DNA binding motifs for 98 TFs, while providing a versatile platform to quantitatively assay the impact of DNA modifications on TF binding.
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Affiliation(s)
- Antoni J. Gralak
- Laboratory of Systems Biology and Genetics, Institute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Katerina Faltejskova
- Institute of Organic Chemistry and Biochemistry, Czech Academy of Sciences, Prague, Czech Republic
- Computer Science Institute, Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic
| | | | - Clemence Steiner
- Laboratory of Systems Biology and Genetics, Institute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Julie Russeil
- Laboratory of Systems Biology and Genetics, Institute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Nadia Grenningloh
- Laboratory of Systems Biology and Genetics, Institute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Sachi Inukai
- Laboratory of Systems Biology and Genetics, Institute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Mustafa Demir
- Laboratory of Systems Biology and Genetics, Institute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Riccardo Dainese
- Laboratory of Systems Biology and Genetics, Institute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Cooper Owen
- Laboratory of Systems Biology and Genetics, Institute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Eugenia Pankevich
- Laboratory of Systems Biology and Genetics, Institute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | | | | | - Ivan V. Kulakovskiy
- Institute of Protein Research, Russian Academy of Sciences, Pushchino, Russia
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia
| | - Judith F. Kribelbauer-Swietek
- Laboratory of Systems Biology and Genetics, Institute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Guido van Mierlo
- Laboratory of Systems Biology and Genetics, Institute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
- Department of Medical BioSciences, Radboud University Medical Center, 6500 HB Nijmegen, The Netherlands
| | - Bart Deplancke
- Laboratory of Systems Biology and Genetics, Institute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
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41
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Jolma A, Laverty KU, Fathi A, Yang AW, Yellan I, Vorontsov IE, Inukai S, Kribelbauer-Swietek JF, Gralak AJ, Razavi R, Albu M, Brechalov A, Patel ZM, Nozdrin V, Meshcheryakov G, Kozin I, Abramov S, Boytsov A, Fornes O, Makeev VJ, Grau J, Grosse I, Bucher P, Deplancke B, Kulakovskiy IV, Hughes TR. Perspectives on Codebook: sequence specificity of uncharacterized human transcription factors. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.11.11.622097. [PMID: 39605729 PMCID: PMC11601247 DOI: 10.1101/2024.11.11.622097] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/29/2024]
Abstract
We describe an effort ("Codebook") to determine the sequence specificity of 332 putative and largely uncharacterized human transcription factors (TFs), as well as 61 control TFs. Nearly 5,000 independent experiments across multiple in vitro and in vivo assays produced motifs for just over half of the putative TFs analyzed (177, or 53%), of which most are unique to a single TF. The data highlight the extensive contribution of transposable elements to TF evolution, both in cis and trans, and identify tens of thousands of conserved, base-level binding sites in the human genome. The use of multiple assays provides an unprecedented opportunity to benchmark and analyze TF sequence specificity, function, and evolution, as further explored in accompanying manuscripts. 1,421 human TFs are now associated with a DNA binding motif. Extrapolation from the Codebook benchmarking, however, suggests that many of the currently known binding motifs for well-studied TFs may inaccurately describe the TF's true sequence preferences.
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Affiliation(s)
- Arttu Jolma
- Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada
| | - Kaitlin U. Laverty
- Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada
- Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Ali Fathi
- Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Ally W.H. Yang
- Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada
| | - Isaac Yellan
- Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Ilya E. Vorontsov
- Vavilov Institute of General Genetics, Russian Academy of Sciences, 119991, Moscow, Russia
| | - Sachi Inukai
- Laboratory of Systems Biology and Genetics, Institute of Bioengineering, School of Life Sciences, École Polytechnique Fédérale de Lausanne, 1015, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, 1015, Lausanne, Switzerland
| | - Judith F. Kribelbauer-Swietek
- Laboratory of Systems Biology and Genetics, Institute of Bioengineering, School of Life Sciences, École Polytechnique Fédérale de Lausanne, 1015, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, 1015, Lausanne, Switzerland
| | - Antoni J. Gralak
- Laboratory of Systems Biology and Genetics, Institute of Bioengineering, School of Life Sciences, École Polytechnique Fédérale de Lausanne, 1015, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, 1015, Lausanne, Switzerland
| | - Rozita Razavi
- Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada
| | - Mihai Albu
- Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada
| | | | - Zain M. Patel
- Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Vladimir Nozdrin
- Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, 119991, Moscow, Russia
| | - Georgy Meshcheryakov
- Institute of Protein Research, Russian Academy of Sciences, 142290, Pushchino, Russia
| | - Ivan Kozin
- Institute of Protein Research, Russian Academy of Sciences, 142290, Pushchino, Russia
| | - Sergey Abramov
- Vavilov Institute of General Genetics, Russian Academy of Sciences, 119991, Moscow, Russia
- Altius Institute for Biomedical Sciences, Seattle, WA 98121, USA
| | - Alexandr Boytsov
- Vavilov Institute of General Genetics, Russian Academy of Sciences, 119991, Moscow, Russia
- Altius Institute for Biomedical Sciences, Seattle, WA 98121, USA
| | | | - Oriol Fornes
- Department of Medical Genetics, Centre for Molecular Medicine and Therapeutics, BC Children’s Hospital Research Institute, University of British Columbia, Vancouver, BC V5Z 4H4, Canada
| | - Vsevolod J. Makeev
- Vavilov Institute of General Genetics, Russian Academy of Sciences, 119991, Moscow, Russia
| | - Jan Grau
- Institute of Computer Science, Martin Luther University Halle-Wittenberg, 06099, Halle, Germany
| | - Ivo Grosse
- Institute of Computer Science, Martin Luther University Halle-Wittenberg, 06099, Halle, Germany
| | - Philipp Bucher
- Swiss Institute of Bioinformatics, 1015, Lausanne, Switzerland
| | - Bart Deplancke
- Laboratory of Systems Biology and Genetics, Institute of Bioengineering, School of Life Sciences, École Polytechnique Fédérale de Lausanne, 1015, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, 1015, Lausanne, Switzerland
| | - Ivan V. Kulakovskiy
- Vavilov Institute of General Genetics, Russian Academy of Sciences, 119991, Moscow, Russia
- Institute of Protein Research, Russian Academy of Sciences, 142290, Pushchino, Russia
| | - Timothy R. Hughes
- Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
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42
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Maritato R, Medugno A, D'Andretta E, De Riso G, Lupo M, Botta S, Marrocco E, Renda M, Sofia M, Mussolino C, Bacci ML, Surace EM. A DNA base-specific sequence interposed between CRX and NRL contributes to RHODOPSIN expression. Sci Rep 2024; 14:26313. [PMID: 39487168 PMCID: PMC11530525 DOI: 10.1038/s41598-024-76664-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2024] [Accepted: 10/15/2024] [Indexed: 11/04/2024] Open
Abstract
Gene expression emerges from DNA sequences through the interaction of transcription factors (TFs) with DNA cis-regulatory sequences. In eukaryotes, TFs bind to transcription factor binding sites (TFBSs) with differential affinities, enabling cell-specific gene expression. In this view, DNA enables TF binding along a continuum ranging from low to high affinity depending on its sequence composition; however, it is not known whether evolution has entailed a further level of entanglement between DNA-protein interaction. Here we found that the composition and length (22 bp) of the DNA sequence interposed between the CRX and NRL retinal TFs in the proximal promoter of RHODOPSIN (RHO) largely controls the expression levels of RHO. Mutagenesis of CRX-NRL DNA linking sequences (here termed "DNA-linker") results in uncorrelated gene expression variation. In contrast, mutual exchange of naturally occurring divergent human and mouse Rho cis-regulatory elements conferred similar yet species-specific Rho expression levels. Two orthogonal DNA-binding proteins targeted to the DNA-linker either activate or repress the expression of Rho depending on the DNA-linker orientation relative to the CRX and NRL binding sites. These results argue that, in this instance, DNA itself contributes to CRX and NRL activities through a code based on specific base sequences of a defined length, ultimately determining optimal RHO expression levels.
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Affiliation(s)
- Rosa Maritato
- Department of Translational Medicine, University of Naples Federico II, Naples, Italy
| | - Alessia Medugno
- Department of Translational Medicine, University of Naples Federico II, Naples, Italy
| | - Emanuela D'Andretta
- Department of Translational Medicine, University of Naples Federico II, Naples, Italy
| | - Giulia De Riso
- Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, Naples, Italy
- AOU Federico II, Naples, Italy
| | - Mariangela Lupo
- Telethon Institute of Genetics and Medicine (TIGEM), Pozzuoli, Italy
| | - Salvatore Botta
- Department of Translational Medical Science, University of Campania Luigi Vanvitelli, Naples, Italy
| | - Elena Marrocco
- Telethon Institute of Genetics and Medicine (TIGEM), Pozzuoli, Italy
| | - Mario Renda
- Telethon Institute of Genetics and Medicine (TIGEM), Pozzuoli, Italy
| | - Martina Sofia
- Telethon Institute of Genetics and Medicine (TIGEM), Pozzuoli, Italy
| | | | - Maria Laura Bacci
- Department of Veterinary Medical Sciences, University of Bologna, Bologna, Italy
| | - Enrico Maria Surace
- Department of Translational Medicine, University of Naples Federico II, Naples, Italy.
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Lo EKW, Idrizi A, Tryggvadottir R, Zhou W, Hou W, Ji H, Cahan P, Feinberg AP. DNA methylation memory of pancreatic acinar-ductal metaplasia transition state altering Kras-downstream PI3K and Rho GTPase signaling in the absence of Kras mutation. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.10.26.620414. [PMID: 39553977 PMCID: PMC11565792 DOI: 10.1101/2024.10.26.620414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2024]
Abstract
A critical area of recent cancer research is the emergence of transition states between normal and cancer that exhibit increased cell plasticity which underlies tumor cell heterogeneity. Pancreatic ductal adenocarcinoma (PDAC) can arise from the combination of a transition state termed acinar-to-ductal metaplasia (ADM) and a gain-of-function mutation in the proto-oncogene KRAS . During ADM, digestive enzyme-producing acinar cells acquire a transient ductal epithelium-like phenotype while maintaining their geographical acinar organization. One route of ADM initiation is the overexpression of the Krüppel-like factor 4 gene ( KLF4 ) in the absence of oncogenic driver mutations. Here, we asked to what extent cells acquire and retain an epigenetic memory of the ADM transition state in the absence of oncogene mutation. We identified differential DNA methylation at Kras-downstream PI3K and Rho / Rac / Cdc42 GTPase pathway genes during ADM, as well as a corresponding gene expression increase in these pathways. Importantly, differential methylation persisted after gene expression returned to normal. Caerulein exposure, which induces widespread digestive system changes in addition to ADM, showed similar changes in DNA methylation in ADM cells. Regions of differential methylation were enriched for motifs of KLF and AP-1 family transcription factors, as were those of human pancreatic intraepithelial neoplasia (PanIN) samples, demonstrating the relevance of this epigenetic transition state memory in human carcinogenesis. Finally, single-cell spatial transcriptomics revealed that these ADM transition cells were enriched for PI3K pathway and AP1 family members, linking epigenetic memory to cancer cell plasticity even in the absence of oncogene mutation.
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Zhang X, Blumenthal R, Cheng X. DNA-binding proteins from MBD through ZF to BEN: recognition of cytosine methylation status by one arginine with two conformations. Nucleic Acids Res 2024; 52:11442-11454. [PMID: 39329271 PMCID: PMC11514455 DOI: 10.1093/nar/gkae832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2024] [Revised: 08/17/2024] [Accepted: 09/11/2024] [Indexed: 09/28/2024] Open
Abstract
Maintenance methylation, of palindromic CpG dinucleotides at DNA replication forks, is crucial for the faithful mitotic inheritance of genomic 5-methylcytosine (5mC) methylation patterns. MBD proteins use two arginine residues to recognize symmetrically-positioned methyl groups in fully-methylated 5mCpG/5mCpG and 5mCpA/TpG dinucleotides. In contrast, C2H2 zinc finger (ZF) proteins recognize CpG and CpA, whether methylated or not, within longer specific sequences in a site- and strand-specific manner. Unmethylated CpG sites, often within CpG island (CGI) promoters, need protection by protein factors to maintain their hypomethylated status. Members of the BEN domain proteins bind CGCG or CACG elements within CGIs to regulate gene expression. Despite their overall structural diversity, MBD, ZF and BEN proteins all use arginine residues to recognize guanine, adopting either a 'straight-on' or 'oblique' conformation. The straight-on conformation accommodates a methyl group in the (5mC/T)pG dinucleotide, while the oblique conformation can clash with the methyl group of 5mC, leading to preferential binding of unmethylated sequences.
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Affiliation(s)
- Xing Zhang
- Department of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Robert M Blumenthal
- Department of Medical Microbiology and Immunology, and Program in Bioinformatics, The University of Toledo College of Medicine and Life Sciences, Toledo, OH 43614, USA
| | - Xiaodong Cheng
- Department of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
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Zhang W, Zhang X, Qiu C, Zhang Z, Su KJ, Luo Z, Liu M, Zhao B, Wu L, Tian Q, Shen H, Wu C, Deng HW. An atlas of genetic effects on the monocyte methylome across European and African populations. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.08.12.24311885. [PMID: 39211851 PMCID: PMC11361221 DOI: 10.1101/2024.08.12.24311885] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/04/2024]
Abstract
Elucidating the genetic architecture of DNA methylation is crucial for decoding complex disease etiology. However, current epigenomic studies are often limited by incomplete methylation coverage and heterogeneous tissue samples. Here, we present the first comprehensive, multi-ancestry human methylome atlas of purified human monocytes, generated through integrated whole-genome bisulfite sequencing and whole-genome sequencing from 298 European Americans (EA) and 160 African Americans (AA). By analyzing over 25 million methylation sites, we identified 1,383,250 and 1,721,167 methylation quantitative trait loci (meQTLs) in cis- regions for EA and AA populations, respectively, revealing both shared (880,108 sites) and population-specific regulatory patterns. Furthermore, we developed population-specific DNAm imputation models, enabling methylome-wide association studies (MWAS) for 1,976,046 and 2,657,581 methylation sites in EA and AA, respectively. These models were validated through multi-ancestry analysis of 41 complex traits from the Million Veteran Program. The identified meQTLs, MWAS models, and data resources are freely available at www.gcbhub.org and https://osf.io/gct57/ .
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Wang P, Chen LL, Xiong Y, Ye D. Metabolite regulation of epigenetics in cancer. Cell Rep 2024; 43:114815. [PMID: 39368084 DOI: 10.1016/j.celrep.2024.114815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2024] [Revised: 08/17/2024] [Accepted: 09/17/2024] [Indexed: 10/07/2024] Open
Abstract
The catalytic activity of most epigenetic enzymes requires a metabolite produced by central carbon metabolism as a cofactor or (co-)substrate. The concentrations of these metabolites undergo dynamic changes in response to nutrient levels and environmental conditions, reprogramming metabolic processes and epigenetic landscapes. Abnormal accumulations of epigenetic modulatory metabolites resulting from mutations in metabolic enzymes contribute to tumorigenesis. In this review, we first present the concept that metabolite regulation of gene expression represents an evolutionarily conserved mechanism from prokaryotes to eukaryotes. We then review how individual metabolites affect epigenetic enzymes and cancer development. Lastly, we discuss the advancement of and opportunity for therapeutic targeting of metabolite-epigenetic regulation in cancer therapy.
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Affiliation(s)
- Pu Wang
- Molecular and Cell Biology Lab, Institutes of Biomedical Sciences, Shanghai Medical College of Fudan University, Shanghai, China
| | - Lei-Lei Chen
- Molecular and Cell Biology Lab, Institutes of Biomedical Sciences, Shanghai Medical College of Fudan University, Shanghai, China
| | - Yue Xiong
- Molecular and Cell Biology Lab, Institutes of Biomedical Sciences, Shanghai Medical College of Fudan University, Shanghai, China; Cullgen, Inc., 12671 High Bluff Drive, San Diego, CA 92130, USA.
| | - Dan Ye
- Molecular and Cell Biology Lab, Institutes of Biomedical Sciences, Shanghai Medical College of Fudan University, Shanghai, China.
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Fan Z, Chen Y, Yan D, Li Q. Effects of Differentially Methylated CpG Sites in Enhancer and Promoter Regions on the Chromatin Structures of Target LncRNAs in Breast Cancer. Int J Mol Sci 2024; 25:11048. [PMID: 39456830 PMCID: PMC11507307 DOI: 10.3390/ijms252011048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2024] [Revised: 10/07/2024] [Accepted: 10/11/2024] [Indexed: 10/28/2024] Open
Abstract
Aberrant DNA methylation plays a crucial role in breast cancer progression by regulating gene expression. However, the regulatory pattern of DNA methylation in long noncoding RNAs (lncRNAs) for breast cancer remains unclear. In this study, we integrated gene expression, DNA methylation, and clinical data from breast cancer patients included in The Cancer Genome Atlas (TCGA) database. We examined DNA methylation distribution across various lncRNA categories, revealing distinct methylation characteristics. Through genome-wide correlation analysis, we identified the CpG sites located in lncRNAs and the distally associated CpG sites of lncRNAs. Functional genome enrichment analysis, conducted through the integration of ENCODE ChIP-seq data, revealed that differentially methylated CpG sites (DMCs) in lncRNAs were mostly located in promoter regions, while distally associated DMCs primarily acted on enhancer regions. By integrating Hi-C data, we found that DMCs in enhancer and promoter regions were closely associated with the changes in three-dimensional chromatin structures by affecting the formation of enhancer-promoter loops. Furthermore, through Cox regression analysis and three machine learning models, we identified 11 key methylation-driven lncRNAs (DIO3OS, ELOVL2-AS1, MIAT, LINC00536, C9orf163, AC105398.1, LINC02178, MILIP, HID1-AS1, KCNH1-IT1, and TMEM220-AS1) that were associated with the survival of breast cancer patients and constructed a prognostic risk scoring model, which demonstrated strong prognostic performance. These findings enhance our understanding of DNA methylation's role in lncRNA regulation in breast cancer and provide potential biomarkers for diagnosis.
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Affiliation(s)
- Zhiyu Fan
- School of Physical Science and Technology, Inner Mongolia University, Hohhot 010021, China; (Z.F.); (D.Y.); (Q.L.)
| | - Yingli Chen
- School of Physical Science and Technology, Inner Mongolia University, Hohhot 010021, China; (Z.F.); (D.Y.); (Q.L.)
- The State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, Inner Mongolia University, Hohhot 010021, China
| | - Dongsheng Yan
- School of Physical Science and Technology, Inner Mongolia University, Hohhot 010021, China; (Z.F.); (D.Y.); (Q.L.)
| | - Qianzhong Li
- School of Physical Science and Technology, Inner Mongolia University, Hohhot 010021, China; (Z.F.); (D.Y.); (Q.L.)
- The State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, Inner Mongolia University, Hohhot 010021, China
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Hsu FM, Horton P. MethylSeqLogo: DNA methylation smart sequence logos. BMC Bioinformatics 2024; 25:326. [PMID: 39385066 PMCID: PMC11462690 DOI: 10.1186/s12859-024-05896-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 08/08/2024] [Indexed: 10/11/2024] Open
Abstract
BACKGROUND Some transcription factors, MYC for example, bind sites of potentially methylated DNA. This may increase binding specificity as such sites are (1) highly under-represented in the genome, and (2) offer additional, tissue specific information in the form of hypo- or hyper-methylation. Fortunately, bisulfite sequencing data can be used to investigate this phenomenon. METHOD We developed MethylSeqLogo, an extension of sequence logos which includes new elements to indicate DNA methylation and under-represented dimers in each position of a set binding sites. Our method displays information from both DNA strands, and takes into account the sequence context (CpG or other) and genome region (promoter versus whole genome) appropriate to properly assess the expected background dimer frequency and level of methylation. MethylSeqLogo preserves sequence logo semantics-the relative height of nucleotides within a column represents their proportion in the binding sites, while the absolute height of each column represents information (relative entropy) and the height of all columns added together represents total information RESULTS: We present figures illustrating the utility of using MethylSeqLogo to summarize data from several CpG binding transcription factors. The logos show that unmethylated CpG binding sites are a feature of transcription factors such as MYC and ZBTB33, while some other CpG binding transcription factors, such as CEBPB, appear methylation neutral. CONCLUSIONS Our software enables users to explore bisulfite and ChIP sequencing data sets-and in the process obtain publication quality figures.
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Affiliation(s)
- Fei-Man Hsu
- Department of Molecular Cell and Developmental Biology, University of California, Los Angeles, USA
| | - Paul Horton
- Department of Computer Science and Information Engineering, National Cheng Kung University, 1 University Road, Tainan, 70101, Taiwan.
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Li M, Ning P, Bai R, Tian Z, Liu S, Li L. DNA Methylation Negatively Regulates Gene Expression of Key Cytokines Secreted by BMMCs Recognizing FMDV-VLPs. Int J Mol Sci 2024; 25:10849. [PMID: 39409178 PMCID: PMC11477203 DOI: 10.3390/ijms251910849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2024] [Revised: 10/04/2024] [Accepted: 10/06/2024] [Indexed: 10/20/2024] Open
Abstract
Virus-like particles (VLPs) have been studied and used as vaccines to control foot-and-mouth disease (FMD). Mast cells (MCs) express various pattern recognition receptors that recognize pathogens and secrete numerous cytokines to initiate and modulate immune responses. Our previous study showed that bone marrow-derived mast cells (BMMCs) can recognize foot-and-mouth disease virus-like particles (FMDV-VLPs) to differentially express various cytokines and that histone acetylation can regulate the cytokines secreted during BMMC recognition of FMDV-VLPs. To demonstrate the role of DNA methylation in this response process, BMMCs that recognize FMDV-VLPs were treated with azacytidine (5-AZA), an inhibitor of DNA methylation transferase. We prepared FMDV-VLPs as described previously and cultured the BMMCs. The transcription and expression of key cytokines and transcription factors were determined using real-time quantitative PCR (RT-qPCR) and Western blotting. Results showed that pre-treatment with AZA resulted in the increased transcription and expression of tumor necrosis factor α (TNF-α), interleukin (IL)-6, IL-13, and IL-10, while the changes in IL-13 transcription and IL-6 expression were irrelevant to mannose receptors (MRs). Furthermore, analysis of the transcription factors indicated that both the transcription and expression of nuclear factor-kappa B (NF-κB) increased significantly in the AZA pre-treated group, indicating that DNA methylation may also regulate NF-κB expression to modulate TNF-α, IL-13, and IL-6. However, pre-treatment with AZA did not alter the expression of microphthalmia-associated transcription factor (MITF) or GATA-2. All the data demonstrate that DNA methylation negatively regulates the transcription and expression of TNF-α, IL-13, IL-10, and IL-6 secreted by recognizing FMDV-VLPs. These results provide new ideas for the mast cell-based design of more effective vaccine adjuvants and targeted therapies in the future.
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Affiliation(s)
| | | | | | | | | | - Limin Li
- College of Veterinary Medicine, Hebei Agricultural University, Baoding 071000, China; (M.L.); (P.N.); (R.B.); (Z.T.); (S.L.)
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Luo X, Zou Q. Identifying the "stripe" transcription factors and cooperative binding related to DNA methylation. Commun Biol 2024; 7:1265. [PMID: 39367138 PMCID: PMC11452537 DOI: 10.1038/s42003-024-06992-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Accepted: 09/30/2024] [Indexed: 10/06/2024] Open
Abstract
DNA methylation plays a critical role in gene regulation by modulating the DNA binding of transcription factors (TFs). This study integrates TFs' ChIP-seq profiles with WGBS profiles to investigate how DNA methylation affects protein interactions. Statistical methods and a 5-letter DNA motif calling model have been developed to characterize DNA sequences bound by proteins, while considering the effects of DNA modifications. By employing these methods, 79 significant universal "stripe" TFs and cofactors (USFs), 2360 co-binding protein pairs, and distinct protein modules associated with various DNA methylation states have been identified. The USFs hint a regulatory hierarchy within these protein interactions. Proteins preferentially bind to non-CpG sites in methylated regions, indicating binding affinity is not solely CpG-dependent. Proteins involved in methylation-specific USFs and cobinding pairs play essential roles in promoting and sustaining DNA methylation through interacting with DNMTs or inhibiting TET binding. These findings underscore the interplay between protein binding and methylation, offering insights into epigenetic regulation in cellular biology.
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Affiliation(s)
- Ximei Luo
- Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China
| | - Quan Zou
- Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China.
- Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou, China.
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