1
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Niu Q, Xu Y, Huang H, Li L, Tang D, Wu S, Liu P, Liu R, Ma Y, Zhang B, Zhu JK, Lang Z. Two transcription factors play critical roles in mediating epigenetic regulation of fruit ripening in tomato. Proc Natl Acad Sci U S A 2025; 122:e2422798122. [PMID: 40203043 DOI: 10.1073/pnas.2422798122] [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: 11/08/2024] [Accepted: 03/07/2025] [Indexed: 04/11/2025] Open
Abstract
DNA methylation regulates fruit ripening in tomato, and disruption of the DNA demethylase DEMETER-LIKE 2 (DML2) results in genome-wide DNA hypermethylation and impaired ripening. We report here that the transcription factors Ripening Inhibitor (RIN) and FRUITFULL 1 (FUL1) play critical roles in mediating the effect of DNA methylation on tomato fruit ripening. RIN and FUL1 are silenced in dml2 mutant plants, and the defective ripening phenotype of dml2 is mimicked by the rin/ful1 double mutant. Restoration of RIN expression in dml2 partially rescues its ripening defects. DNA methylation controls ripening not only by regulating the expression of RIN and FUL1 but also by interfering with the genomic binding of RIN. In dml2 mutant plants, RIN cannot bind to some of its targets in vivo even though DNA methylation does not interfere with RIN binding in vitro; this inhibited binding in vivo is correlated with increased DNA methylation and histone H3 enrichment within 100 bp of the binding site. Our work uncovers the molecular mechanisms underlying DNA methylation control of fruit ripening in tomato.
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Affiliation(s)
- Qingfeng Niu
- National Engineering Laboratory of Crop Stress Resistance Breeding, School of Life Sciences, Anhui Agricultural University, Hefei 230036, China
- Institute of Advanced Biotechnology, Institute of Homeostatic Medicine, and School of Medicine, Southern University of Science and Technology, Shenzhen 518055, China
- Shanghai Center for Plant Stress Biology, National Key Laboratory of Plant Molecular Genetics, Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai 201602, China
| | - Yaping Xu
- National Engineering Laboratory of Crop Stress Resistance Breeding, School of Life Sciences, Anhui Agricultural University, Hefei 230036, China
- Shanghai Center for Plant Stress Biology, National Key Laboratory of Plant Molecular Genetics, Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai 201602, China
| | - Huan Huang
- Chinese Academy of Sciences Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai 200031, China
| | - Linzhu Li
- Shanghai Center for Plant Stress Biology, National Key Laboratory of Plant Molecular Genetics, Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai 201602, China
| | - Dengguo Tang
- Shanghai Center for Plant Stress Biology, National Key Laboratory of Plant Molecular Genetics, Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai 201602, China
| | - Siqun Wu
- Institute of Advanced Biotechnology, Institute of Homeostatic Medicine, and School of Medicine, Southern University of Science and Technology, Shenzhen 518055, China
- Shanghai Center for Plant Stress Biology, National Key Laboratory of Plant Molecular Genetics, Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai 201602, China
| | - Ping Liu
- Shanghai Center for Plant Stress Biology, National Key Laboratory of Plant Molecular Genetics, Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai 201602, China
| | - Ruie Liu
- Shanghai Center for Plant Stress Biology, National Key Laboratory of Plant Molecular Genetics, Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai 201602, China
| | - Yu Ma
- Institute of Advanced Biotechnology, Institute of Homeostatic Medicine, and School of Medicine, Southern University of Science and Technology, Shenzhen 518055, China
- Shanghai Center for Plant Stress Biology, National Key Laboratory of Plant Molecular Genetics, Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai 201602, China
| | - Bo Zhang
- Department of Horticulture, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Jian-Kang Zhu
- Institute of Advanced Biotechnology, Institute of Homeostatic Medicine, and School of Medicine, Southern University of Science and Technology, Shenzhen 518055, China
- Shanghai Center for Plant Stress Biology, National Key Laboratory of Plant Molecular Genetics, Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai 201602, China
| | - Zhaobo Lang
- Institute of Advanced Biotechnology, Institute of Homeostatic Medicine, and School of Medicine, Southern University of Science and Technology, Shenzhen 518055, China
- Shanghai Center for Plant Stress Biology, National Key Laboratory of Plant Molecular Genetics, Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai 201602, China
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2
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Xie Z, Sokolov I, Osmala M, Yue X, Bower G, Pett JP, Chen Y, Wang K, Cavga AD, Popov A, Teichmann SA, Morgunova E, Kvon EZ, Yin Y, Taipale J. DNA-guided transcription factor interactions extend human gene regulatory code. Nature 2025:10.1038/s41586-025-08844-z. [PMID: 40205063 DOI: 10.1038/s41586-025-08844-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2024] [Accepted: 02/26/2025] [Indexed: 04/11/2025]
Abstract
In the same way that the mRNA-binding specificities of transfer RNAs define the genetic code, the DNA-binding specificities of transcription factors (TFs) form the molecular basis of the gene regulatory code1,2. The human gene regulatory code is much more complex than the genetic code, in particular because there are more than 1,600 TFs that commonly interact with each other. TF-TF interactions are required for specifying cell fate and executing cell-type-specific transcriptional programs. Despite this, the landscape of interactions between DNA-bound TFs is poorly defined. Here we map the biochemical interactions between DNA-bound TFs using CAP-SELEX, a method that can simultaneously identify individual TF binding preferences, TF-TF interactions and the DNA sequences that are bound by the interacting complexes. A screen of more than 58,000 TF-TF pairs identified 2,198 interacting TF pairs, 1,329 of which preferentially bound to their motifs arranged in a distinct spacing and/or orientation. We also discovered 1,131 TF-TF composite motifs that were markedly different from the motifs of the individual TFs. In total, we estimate that the screen identified between 18% and 47% of all human TF-TF motifs. The novel composite motifs we found were enriched in cell-type-specific elements, active in vivo and more likely to be formed between developmentally co-expressed TFs. Furthermore, TFs that define embryonic axes commonly interacted with different TFs and bound to distinct motifs, explaining how TFs with a similar specificity can define distinct cell types along developmental axes.
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Affiliation(s)
- Zhiyuan Xie
- State Key Laboratory of Cardiovascular Diseases and Medical Innovation Center, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Ilya Sokolov
- Department of Biochemistry, University of Cambridge, Cambridge, UK
- Generative and Synthetic Genomics Programme, Wellcome Sanger Institute, Hinxton, UK
| | - Maria Osmala
- Applied Tumor Genomics Program, Biomedicum, University of Helsinki, Helsinki, Finland
| | - Xue Yue
- State Key Laboratory of Cardiovascular Diseases and Medical Innovation Center, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Grace Bower
- Department of Developmental and Cell Biology, University of California, Irvine, Irvine, CA, USA
| | - J Patrick Pett
- Cellular Genetics Programme, Wellcome Sanger Institute, Hinxton, UK
| | - Yinan Chen
- Department of Biochemistry, University of Cambridge, Cambridge, UK
- Generative and Synthetic Genomics Programme, Wellcome Sanger Institute, Hinxton, UK
| | - Kai Wang
- State Key Laboratory of Cardiovascular Diseases and Medical Innovation Center, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Ayse Derya Cavga
- Department of Biochemistry, University of Cambridge, Cambridge, UK
| | - Alexander Popov
- European Synchrotron Radiation Facility (ESRF), Grenoble, France
| | - Sarah A Teichmann
- Department of Medicine and Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
| | - Ekaterina Morgunova
- Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Evgeny Z Kvon
- Department of Developmental and Cell Biology, University of California, Irvine, Irvine, CA, USA
| | - Yimeng Yin
- State Key Laboratory of Cardiovascular Diseases and Medical Innovation Center, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
- Clinical Center for Brain and Spinal Cord Research, Tongji University, Shanghai, China.
| | - Jussi Taipale
- Department of Biochemistry, University of Cambridge, Cambridge, UK.
- Generative and Synthetic Genomics Programme, Wellcome Sanger Institute, Hinxton, UK.
- Applied Tumor Genomics Program, Biomedicum, University of Helsinki, Helsinki, Finland.
- Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.
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3
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Qu J, Kumar A, Liu YM, Odubanjo OV, Noubissi FK, Hu Y, Hu H. Ultraperformance Liquid Chromatography Tandem Mass Spectrometry Assay of DNA Cytosine Methylation Excretion from Biological Systems. ACS OMEGA 2025; 10:13370-13376. [PMID: 40224404 PMCID: PMC11983177 DOI: 10.1021/acsomega.4c11277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/19/2024] [Revised: 01/23/2025] [Accepted: 01/30/2025] [Indexed: 04/15/2025]
Abstract
Measuring DNA cytosine methylation excretion presents challenges because methylated cytosine species are released in various forms including free molecules and those bound in DNA fragments. Herein, we report a novel UPLC-MS/MS method that allows the quantification of both free and DNA fragment-bound forms of methylated cytosine species excreted, providing total amounts for each. Cell culture medium and genomic DNA isolated from cells are analyzed to quantify methylated cytosine species. In genomic DNA isolated from MDA-MB-231 breast cancer cells, 5-methylcytosine (5mC) and 5-hydroxymethylcytosine (5hmC) are detected at 5.1% and 0.07% of total cytosine residues, respectively. In the cell culture medium, only 5hmC is detected at a low level (ca. 7 nM). However, in two normal cell lines (i.e., primary mouse lung epithelial cells and HEK293 kidney cells) 5mC, 5-methylcytidine, and 2'-oxymethylcytidine (but no 5hmC) are found present in cell culture medium at concentrations ranging from 10 to 320 nM. Further, it is observed for the first time that treating MDA-MB-231 cells with carboplatin significantly increases the 5hmC level in the culture medium, indicating a carboplatin-boosted DNA cytosine methylation excretion from cancer cells.
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Affiliation(s)
- Jing Qu
- Jackson
State University, Department of Chemistry,
Physics and Atmospheric Science, Jackson, Mississippi 39217, United States
| | - Avinash Kumar
- Jackson
State University, Department of Chemistry,
Physics and Atmospheric Science, Jackson, Mississippi 39217, United States
| | - Yi-Ming Liu
- Jackson
State University, Department of Chemistry,
Physics and Atmospheric Science, Jackson, Mississippi 39217, United States
| | - Oluwatoyin V. Odubanjo
- Department
of Biology, Jackson State University, Jackson, Mississippi 39217, United States
| | - Felicite K. Noubissi
- Department
of Biology, Jackson State University, Jackson, Mississippi 39217, United States
| | - Yixin Hu
- Department
of Pharmacy, Zhongnan Hospital of Wuhan University, School of Pharmaceutical
Sciences, Wuhan University, Wuhan, Hubei 430071, China
| | - Hankun Hu
- Department
of Pharmacy, Zhongnan Hospital of Wuhan University, School of Pharmaceutical
Sciences, Wuhan University, Wuhan, Hubei 430071, China
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4
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Bai D, Yang J, Xue X, Gao Y, Wang Y, Cui M, He B, Zeng H, Xiang H, Guo Z, Zhu L, Gao J, Zhu C, Tang F, Yi C. Single-cell 5-hydroxymethylcytosine landscapes of mouse early embryos at single-base resolution. Cell Rep 2025; 44:115520. [PMID: 40186870 DOI: 10.1016/j.celrep.2025.115520] [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: 07/29/2024] [Revised: 12/30/2024] [Accepted: 03/14/2025] [Indexed: 04/07/2025] Open
Abstract
DNA methylation and hydroxymethylation are extensively reprogrammed during mammalian early embryogenesis, and studying their regulatory functions requires comprehensive DNA hydroxymethylation maps at base resolution. Here, we develop single-cell 5-hydroxymethylcytosine (5hmC) chemical-assisted C-to-T conversion-enabled sequencing (schmC-CATCH), a method leveraging selective 5hmC labeling for a quantitative, base-resolution, genome-wide landscape of the DNA hydroxymethylome in mouse gametes and preimplantation embryos spanning from the zygote to blastocyst stage. We revealed that, in addition to late zygotic stages, onset of ten-eleven translocation (TET)-mediated DNA hydroxymethylation initiates immediately after fertilization and is characterized by the distinct 5hmC patterns on the parental genomes shaped by TET3 demethylase. We identified persistent clusters of 5hmC hotspots throughout early embryonic stages, which are highly associated with young retroelements. 5hmC is also associated with different regulatory elements, indicating a potential regulatory function during early embryogenesis. Collectively, our work elucidates the dynamics of active DNA demethylation during mouse preimplantation development and provides a valuable resource for functional studies of epigenetic reprogramming in early embryos.
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Affiliation(s)
- Dongsheng Bai
- State Key Laboratory of Gene Function and Modulation Research, School of Life Sciences, Peking University, Beijing 100871, PRC
| | - Jinmin Yang
- State Key Laboratory of Gene Function and Modulation Research, School of Life Sciences, Peking University, Beijing 100871, PRC
| | - Xiaohui Xue
- Biomedical Pioneering Innovation Center, School of Life Sciences, Peking University, Beijing 100871, PRC; Peking University-Tsinghua University-National Institute of Biological Sciences Joint Graduate Program, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, PRC
| | - Yun Gao
- Biomedical Pioneering Innovation Center, School of Life Sciences, Peking University, Beijing 100871, PRC
| | - Yan Wang
- Biomedical Pioneering Innovation Center, School of Life Sciences, Peking University, Beijing 100871, PRC; Peking University-Tsinghua University-National Institute of Biological Sciences Joint Graduate Program, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, PRC
| | - Mengge Cui
- State Key Laboratory of Gene Function and Modulation Research, School of Life Sciences, Peking University, Beijing 100871, PRC
| | - Bo He
- State Key Laboratory of Gene Function and Modulation Research, School of Life Sciences, Peking University, Beijing 100871, PRC; Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, PRC
| | - Hu Zeng
- State Key Laboratory of Gene Function and Modulation Research, School of Life Sciences, Peking University, Beijing 100871, PRC
| | - Huifen Xiang
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, PRC; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei 230022, PRC
| | - Zijian Guo
- State Key Laboratory of Coordination Chemistry, Coordination Chemistry Institute, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, PRC
| | - Lan Zhu
- Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetric & Gynecologic Diseases, The State Key Laboratory for Complex, Severe, and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, PRC; The State Key Laboratory of Common Mechanism Research for Major Diseases, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100730, PRC
| | - Juan Gao
- Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, PRC
| | - Chenxu Zhu
- New York Genome Center, New York, NY 10013, USA; Department of Physiology and Biophysics, Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10065, USA.
| | - Fuchou Tang
- Biomedical Pioneering Innovation Center, School of Life Sciences, Peking University, Beijing 100871, PRC; Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, PRC.
| | - Chengqi Yi
- State Key Laboratory of Gene Function and Modulation Research, School of Life Sciences, Peking University, Beijing 100871, PRC; Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, PRC; Department of Chemical Biology and Synthetic and Functional Biomolecules Center, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, PRC; Beijing Advanced Center of RNA Biology (BEACON), Peking University, Beijing 100871, PRC.
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5
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Lambourne L, Mattioli K, Santoso C, Sheynkman G, Inukai S, Kaundal B, Berenson A, Spirohn-Fitzgerald K, Bhattacharjee A, Rothman E, Shrestha S, Laval F, Carroll BS, Plassmeyer SP, Emenecker RJ, Yang Z, Bisht D, Sewell JA, Li G, Prasad A, Phanor S, Lane R, Moyer DC, Hunt T, Balcha D, Gebbia M, Twizere JC, Hao T, Holehouse AS, Frankish A, Riback JA, Salomonis N, Calderwood MA, Hill DE, Sahni N, Vidal M, Bulyk ML, Fuxman Bass JI. Widespread variation in molecular interactions and regulatory properties among transcription factor isoforms. Mol Cell 2025; 85:1445-1466.e13. [PMID: 40147441 DOI: 10.1016/j.molcel.2025.03.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Revised: 12/06/2024] [Accepted: 03/05/2025] [Indexed: 03/29/2025]
Abstract
Most human transcription factor (TF) genes encode multiple protein isoforms differing in DNA-binding domains, effector domains, or other protein regions. The global extent to which this results in functional differences between isoforms remains unknown. Here, we systematically compared 693 isoforms of 246 TF genes, assessing DNA binding, protein binding, transcriptional activation, subcellular localization, and condensate formation. Relative to reference isoforms, two-thirds of alternative TF isoforms exhibit differences in one or more molecular activities, which often could not be predicted from sequence. We observed two primary categories of alternative TF isoforms: "rewirers" and "negative regulators," both of which were associated with differentiation and cancer. Our results support a model wherein the relative expression levels of, and interactions involving, TF isoforms add an understudied layer of complexity to gene regulatory networks, demonstrating the importance of isoform-aware characterization of TF functions and providing a rich resource for further studies.
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Affiliation(s)
- Luke Lambourne
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA; Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Kaia Mattioli
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
| | - Clarissa Santoso
- Department of Biology, Boston University, Boston, MA 02215, USA; Bioinformatics Program, Boston University, Boston, MA 02215, USA
| | - Gloria Sheynkman
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA; Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Sachi Inukai
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Babita Kaundal
- Department of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Anna Berenson
- Molecular Biology, Cell Biology & Biochemistry Program, Boston University, Boston, MA 02215, USA
| | - Kerstin Spirohn-Fitzgerald
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA; Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Anukana Bhattacharjee
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA; Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA
| | - Elisabeth Rothman
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | | | - Florent Laval
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA; Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; TERRA Teaching and Research Centre, University of Liège, Gembloux 5030, Belgium; Laboratory of Viral Interactomes, GIGA Institute, University of Liège, Liège 4000, Belgium
| | - Brent S Carroll
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Stephen P Plassmeyer
- Department of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, MO, USA; Center for Biomolecular Condensates, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Ryan J Emenecker
- Department of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, MO, USA; Center for Biomolecular Condensates, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Zhipeng Yang
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA; Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Deepa Bisht
- Department of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jared A Sewell
- Department of Biology, Boston University, Boston, MA 02215, USA
| | - Guangyuan Li
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA; Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA
| | - Anisa Prasad
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Harvard College, Cambridge, MA 02138, USA
| | - Sabrina Phanor
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Ryan Lane
- Department of Biology, Boston University, Boston, MA 02215, USA
| | - Devlin C Moyer
- Bioinformatics Program, Boston University, Boston, MA 02215, USA
| | - Toby Hunt
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CD10 1SD, UK
| | - Dawit Balcha
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA; Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Marinella Gebbia
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA 02215, USA; The Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 3E1, Canada; Lunenfeld-Tanenbaum Research Institute (LTRI), Sinai Health System, Toronto, ON M5G 1X5, Canada
| | - Jean-Claude Twizere
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA 02215, USA; TERRA Teaching and Research Centre, University of Liège, Gembloux 5030, Belgium; Laboratory of Viral Interactomes, GIGA Institute, University of Liège, Liège 4000, Belgium
| | - Tong Hao
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA; Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Alex S Holehouse
- Department of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, MO, USA; Center for Biomolecular Condensates, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Adam Frankish
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CD10 1SD, UK
| | - Josh A Riback
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, USA
| | - Nathan Salomonis
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA; Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA
| | - Michael A Calderwood
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA; Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - David E Hill
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA; Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Nidhi Sahni
- Department of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
| | - Marc Vidal
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA; Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
| | - Martha L Bulyk
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA 02215, USA; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
| | - Juan I Fuxman Bass
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Biology, Boston University, Boston, MA 02215, USA; Bioinformatics Program, Boston University, Boston, MA 02215, USA; Molecular Biology, Cell Biology & Biochemistry Program, Boston University, Boston, MA 02215, USA.
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6
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Liu S, Gomez-Alcala P, Leemans C, Glassford WJ, Melo LA, Lu XJ, Mann RS, Bussemaker HJ. Predicting the DNA binding specificity of transcription factor mutants using family-level biophysically interpretable machine learning. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2025:2024.01.24.577115. [PMID: 38352411 PMCID: PMC10862739 DOI: 10.1101/2024.01.24.577115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/20/2024]
Abstract
Sequence-specific interactions of transcription factors (TFs) with genomic DNA underlie many cellular processes. High-throughput in vitro binding assays coupled with machine learning have made it possible to accurately define such molecular recognition in a biophysically interpretable way for hundreds of TFs across many structural families, providing new avenues for predicting how the sequence preference of a TF is impacted by disease-associated mutations in its DNA binding domain. We developed a method based on a reference-free tetrahedral representation of variation in base preference within a given structural family that can be used to accurately predict the effect of mutations in the protein sequence of the TF. Using the basic helix-loop-helix (bHLH) and homeodomain families as test cases, our results demonstrate the feasibility of accurately predicting the shifts (ΔΔΔG/RT) in binding free energy associated with TF mutants by leveraging high-quality DNA binding models for sets of homologous wild-type TFs.
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Affiliation(s)
- Shaoxun Liu
- Department of Biological Sciences, Columbia University, New York, NY, USA
| | - Pilar Gomez-Alcala
- Department of Biological Sciences, Columbia University, New York, NY, USA
| | - Christ Leemans
- Department of Biological Sciences, Columbia University, New York, NY, USA
| | - William J. Glassford
- Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY, USA
| | - Lucas A.N. Melo
- Department of Biological Sciences, Columbia University, New York, NY, USA
| | - Xiang-Jun Lu
- Department of Biological Sciences, Columbia University, New York, NY, USA
| | - Richard S. Mann
- Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY, USA
- Department of Systems Biology, Columbia University, New York, NY, USA
| | - Harmen J. Bussemaker
- Department of Biological Sciences, Columbia University, New York, NY, USA
- Department of Systems Biology, Columbia University, New York, NY, USA
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7
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Li T, Chen H, Ma N, Jiang D, Wu J, Zhang X, Li H, Su J, Chen P, Liu Q, Guan Y, Zhu X, Lin J, Zhang J, Wang Q, Guo H, Zhu F. Specificity landscapes of 40 R2R3-MYBs reveal how paralogs target different cis-elements by homodimeric binding. IMETA 2025; 4:e70009. [PMID: 40236784 PMCID: PMC11995187 DOI: 10.1002/imt2.70009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/11/2024] [Revised: 02/11/2025] [Accepted: 02/17/2025] [Indexed: 04/17/2025]
Abstract
Paralogous transcription factors (TFs) frequently recognize highly similar DNA motifs. Homodimerization can help distinguish them according to their different dimeric configurations. Here, by studying R2R3-MYB TFs, we show that homodimerization can also directly change the recognized DNA motifs to distinguish between similar TFs. By high-throughput SELEX, we profiled the specificity landscape for 40 R2R3-MYBs of subfamily VIII and curated 833 motif models. The dimeric models show that homodimeric binding has evoked specificity changes for AtMYBs. Focusing on AtMYB2 as an example, we show that homodimerization has modified its specificity and allowed it to recognize additional cis-regulatory sequences that are different from the closely related CCWAA-box AtMYBs and are unique among all AtMYBs. Genomic sites described by the modified dimeric specificities of AtMYB2 are conserved in evolution and involved in AtMYB2-specific transcriptional activation. Collectively, this study provides rich data on sequence preferences of VIII R2R3-MYBs and suggests an alternative mechanism that guides closely related TFs to respective cis-regulatory sites.
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Affiliation(s)
- Tian Li
- Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, College of JUNCAO Science and Ecology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems BiologyFujian Agriculture and Forestry UniversityFuzhouChina
| | - Hao Chen
- Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, College of JUNCAO Science and Ecology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems BiologyFujian Agriculture and Forestry UniversityFuzhouChina
| | - Nana Ma
- Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, College of JUNCAO Science and Ecology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems BiologyFujian Agriculture and Forestry UniversityFuzhouChina
- College of Life ScienceFujian Agriculture and Forestry UniversityFuzhouChina
| | - Dingkun Jiang
- Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, College of JUNCAO Science and Ecology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems BiologyFujian Agriculture and Forestry UniversityFuzhouChina
- College of Life ScienceFujian Agriculture and Forestry UniversityFuzhouChina
| | - Jiacheng Wu
- Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, College of JUNCAO Science and Ecology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems BiologyFujian Agriculture and Forestry UniversityFuzhouChina
| | - Xinfeng Zhang
- Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, College of JUNCAO Science and Ecology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems BiologyFujian Agriculture and Forestry UniversityFuzhouChina
| | - Hao Li
- Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, College of JUNCAO Science and Ecology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems BiologyFujian Agriculture and Forestry UniversityFuzhouChina
- College of Life ScienceFujian Agriculture and Forestry UniversityFuzhouChina
| | - Jiaqing Su
- College of Resources and EnvironmentFujian Agriculture and Forestry UniversityFuzhouChina
| | - Piaojuan Chen
- Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, College of JUNCAO Science and Ecology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems BiologyFujian Agriculture and Forestry UniversityFuzhouChina
| | - Qing Liu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro‐BioresourcesSouth China Agricultural UniversityGuangzhouChina
| | - Yuefeng Guan
- College of Resources and EnvironmentFujian Agriculture and Forestry UniversityFuzhouChina
| | - Xiaoyue Zhu
- Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, College of JUNCAO Science and Ecology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems BiologyFujian Agriculture and Forestry UniversityFuzhouChina
| | - Juncheng Lin
- Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, College of JUNCAO Science and Ecology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems BiologyFujian Agriculture and Forestry UniversityFuzhouChina
| | - Jilin Zhang
- Department of Biomedical SciencesCity University of Hong KongHong KongChina
- Tung Biomedical Sciences CentreCity University of Hong KongHong KongChina
- Department of Precision Diagnostic and Therapeutic TechnologyThe City University of Hong Kong Shenzhen Futian Research InstituteShenzhenChina
| | - Qin Wang
- Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, College of JUNCAO Science and Ecology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems BiologyFujian Agriculture and Forestry UniversityFuzhouChina
| | - Honghong Guo
- Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, College of JUNCAO Science and Ecology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems BiologyFujian Agriculture and Forestry UniversityFuzhouChina
- College of Life ScienceFujian Agriculture and Forestry UniversityFuzhouChina
| | - Fangjie Zhu
- Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, College of JUNCAO Science and Ecology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems BiologyFujian Agriculture and Forestry UniversityFuzhouChina
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8
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Thowfeequ S, Hanna CW, Srinivas S. Origin, fate and function of extraembryonic tissues during mammalian development. Nat Rev Mol Cell Biol 2025; 26:255-275. [PMID: 39627419 DOI: 10.1038/s41580-024-00809-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/05/2024] [Indexed: 03/28/2025]
Abstract
Extraembryonic tissues have pivotal roles in morphogenesis and patterning of the early mammalian embryo. Developmental programmes mediated through signalling pathways and gene regulatory networks determine the sequence in which fate determination and lineage commitment of extraembryonic tissues take place, and epigenetic processes allow the memory of cell identity and state to be sustained throughout and beyond embryo development, even extending across generations. In this Review, we discuss the molecular and cellular mechanisms necessary for the different extraembryonic tissues to develop and function, from their initial specification up until the end of gastrulation, when the body plan of the embryo and the anatomical organization of its supporting extraembryonic structures are established. We examine the interaction between extraembryonic and embryonic tissues during early patterning and morphogenesis, and outline how epigenetic memory supports extraembryonic tissue development.
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Affiliation(s)
- Shifaan Thowfeequ
- Institute of Developmental and Regenerative Medicine, University of Oxford, Oxford, UK
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK
| | - Courtney W Hanna
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
- Loke Centre for Trophoblast Research, University of Cambridge, Cambridge, UK
| | - Shankar Srinivas
- Institute of Developmental and Regenerative Medicine, University of Oxford, Oxford, UK.
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK.
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9
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Morgunova E, Nagy G, Yin Y, Zhu F, Nayak SP, Xiao T, Sokolov I, Popov A, Laughton C, Grubmuller H, Taipale J. Interfacial water confers transcription factors with dinucleotide specificity. Nat Struct Mol Biol 2025; 32:650-661. [PMID: 39753777 PMCID: PMC11996681 DOI: 10.1038/s41594-024-01449-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 11/12/2024] [Indexed: 04/16/2025]
Abstract
Transcription factors (TFs) recognize specific bases within their DNA-binding motifs, with each base contributing nearly independently to total binding energy. However, the energetic contributions of particular dinucleotides can deviate strongly from the additive approximation, indicating that some TFs can specifically recognize DNA dinucleotides. Here we solved high-resolution (<1 Å) structures of MYF5 and BARHL2 bound to DNAs containing sets of dinucleotides that have different affinities to the proteins. The dinucleotides were recognized either enthalpically, by an extensive water network that connects the adjacent bases to the TF, or entropically, by a hydrophobic patch that maintained interfacial water mobility. This mechanism confers differential temperature sensitivity to the optimal sites, with implications for thermal regulation of gene expression. Our results uncover the enigma of how TFs can recognize more complex local features than mononucleotides and demonstrate that water-mediated recognition is important for predicting affinities of macromolecules from their sequence.
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Affiliation(s)
- Ekaterina Morgunova
- Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Gabor Nagy
- Theoretical and Computational Biophysics Department, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany
| | - Yimeng Yin
- Department of Biochemistry, University of Cambridge, Cambridge, UK
- State Key Laboratory of Cardiovascular Diseases and Medical Innovation Center, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Fangjie Zhu
- Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China
| | - Sonali Priyadarshini Nayak
- Theoretical and Computational Biophysics Department, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany
- Max Planck School Matter to Life, Heidelberg, Germany
| | - Tianyi Xiao
- Department of Biochemistry, University of Cambridge, Cambridge, UK
| | - Ilya Sokolov
- Department of Biochemistry, University of Cambridge, Cambridge, UK
| | | | - Charles Laughton
- School of Pharmacy and Biodiscovery Institute, University of Nottingham, Nottingham, UK
| | - Helmut Grubmuller
- Theoretical and Computational Biophysics Department, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany
| | - Jussi Taipale
- Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.
- Department of Biochemistry, University of Cambridge, Cambridge, UK.
- Applied Tumor Genomics Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
- Generative and Synthetic Genomics Programme, Wellcome Sanger Institute, Hinxton, UK.
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10
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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. Genome Med 2025; 17:32. [PMID: 40156071 PMCID: PMC11951614 DOI: 10.1186/s13073-025-01452-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2024] [Accepted: 03/10/2025] [Indexed: 04/01/2025] Open
Abstract
BACKGROUND 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. METHODS We profiled the DNA methylome and transcriptome of KLF4-induced ADM in transgenic mice at various timepoints during and after recovery from ADM. We validated the identified DNA methylation and transcriptomic signatures in the widely used caerulein model of inducible pancreatitis. RESULTS 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. CONCLUSIONS Our comprehensive study of DNA methylation in the acinar-ductal metaplasia transition state links epigenetic memory to cancer-related cell plasticity even in the absence of oncogenic mutation.
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Affiliation(s)
- Emily K W Lo
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, 720 Rutland Avenue, Baltimore, MD, 21205, USA
- Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Medicine, Johns Hopkins University School of Medicine, 1830 E. Monument Street, Baltimore, MD, USA
| | - Adrian Idrizi
- Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Medicine, Johns Hopkins University School of Medicine, 1830 E. Monument Street, Baltimore, MD, USA
| | - Rakel Tryggvadottir
- Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Medicine, Johns Hopkins University School of Medicine, 1830 E. Monument Street, Baltimore, MD, USA
| | - Weiqiang Zhou
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Wenpin Hou
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Hongkai Ji
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Patrick Cahan
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, 720 Rutland Avenue, Baltimore, MD, 21205, USA.
- Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Andrew P Feinberg
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, 720 Rutland Avenue, Baltimore, MD, 21205, USA.
- Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
- Department of Medicine, Johns Hopkins University School of Medicine, 1830 E. Monument Street, Baltimore, MD, USA.
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11
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Zhou J, Wu Y, Liu H, Tian W, Castanon RG, Bartlett A, Zhang Z, Yao G, Shi D, Clock B, Marcotte S, Nery JR, Liem M, Claffey N, Boggeman L, Barragan C, Drigo RAE, Weimer AK, Shi M, Cooper-Knock J, Zhang S, Snyder MP, Preissl S, Ren B, O’Connor C, Chen S, Luo C, Dixon JR, Ecker JR. Human Body Single-Cell Atlas of 3D Genome Organization and DNA Methylation. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2025:2025.03.23.644697. [PMID: 40196612 PMCID: PMC11974725 DOI: 10.1101/2025.03.23.644697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 04/09/2025]
Abstract
Higher-order chromatin structure and DNA methylation are critical for gene regulation, but how these vary across the human body remains unclear. We performed multi-omic profiling of 3D genome structure and DNA methylation for 86,689 single nuclei across 16 human tissues, identifying 35 major and 206 cell subtypes. We revealed extensive changes in CG and non-CG methylation across almost all cell types and characterized 3D chromatin structure at an unprecedented cellular resolution. Intriguingly, extensive discrepancies exist between cell types delineated by DNA methylation and genome structure, indicating that the role of distinct epigenomic features in maintaining cell identity may vary by lineage. This study expands our understanding of the diversity of DNA methylation and chromatin structure and offers an extensive reference for exploring gene regulation in human health and disease.
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Affiliation(s)
- Jingtian Zhou
- Arc Institute, Palo Alto, CA, USA
- Genomic Analysis Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA, USA
| | - Yue Wu
- Genomic Analysis Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA
- Division of Biological Sciences, University of California San Diego, La Jolla, CA, USA
| | - Hanqing Liu
- Genomic Analysis Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA
- Society of Fellows, Harvard University, Cambridge, MA, USA
| | - Wei Tian
- Genomic Analysis Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Rosa G Castanon
- Genomic Analysis Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Anna Bartlett
- Genomic Analysis Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Zuolong Zhang
- School of Software, Henan University, Kaifeng, Henan, China
| | - Guocong Yao
- School of Computer and Information Engineering, Henan University, Kaifeng, Henan, China
| | - Dengxiaoyu Shi
- Genomic Analysis Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Ben Clock
- Gene Expression Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Samantha Marcotte
- Gene Expression Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Joseph R. Nery
- Genomic Analysis Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Michelle Liem
- Flow Cytometry Core Facility, Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Naomi Claffey
- Flow Cytometry Core Facility, Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Lara Boggeman
- Flow Cytometry Core Facility, Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Cesar Barragan
- Genomic Analysis Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Rafael Arrojo e Drigo
- Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN
- Center for Computational Systems Biology, Vanderbilt University, Nashville, TN
- Diabetes Research and Training Center (DRTC), Vanderbilt University Medical Center, Nashville, TN, 37235
| | - Annika K. Weimer
- Department of Genetics, Stanford School of Medicine, Stanford, CA, USA
- Novo Nordisk Foundation Center for Genomic Mechanisms of Disease, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Minyi Shi
- Department of Genetics, Stanford School of Medicine, Stanford, CA, USA
| | - Johnathan Cooper-Knock
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK
| | - Sai Zhang
- Department of Genetics, Stanford School of Medicine, Stanford, CA, USA
- Department of Epidemiology, University of Florida, Gainesville, FL, USA
- Departments of Biostatistics & Biomedical Engineering, Genetics Institute, McKnight Brain Institute, University of Florida, Gainesville, FL, USA
| | - Michael P. Snyder
- Department of Genetics, Stanford School of Medicine, Stanford, CA, USA
| | - Sebastian Preissl
- Center for Epigenomics, University of California San Diego, La Jolla, CA, USA
- Institute of Experimental and Clinical Pharmacology and Toxicology, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Institute of Pharmaceutical Sciences, Pharmacology & Toxicology, University of Graz, Graz, Austria
- Field of Excellence BioHealth, University of Graz, Graz, Austria
| | - Bing Ren
- Center for Epigenomics, University of California San Diego, La Jolla, CA, USA
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
| | - Carolyn O’Connor
- Flow Cytometry Core Facility, Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Shengbo Chen
- School of Software, Nanchang University, Nanchang, Jiangxi, China
| | - Chongyuan Luo
- Department of Human Genetics, University of California Los Angeles, Los Angeles, CA, USA
| | - Jesse R. Dixon
- Gene Expression Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Joseph R. Ecker
- Genomic Analysis Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA
- Howard Hughes Medical Institute, Salk Institute for Biological Studies, La Jolla, CA, USA
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12
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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] [MESH Headings] [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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13
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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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14
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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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15
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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 PMCID: PMC11873960 DOI: 10.1021/acs.jpcb.4c07071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2024] [Revised: 01/23/2025] [Accepted: 01/30/2025] [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)
| | - Gregory M. K. Poon
- Department of Chemistry, Georgia
State University, Atlanta, Georgia 30303, United States
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16
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Qiu L, Wang H, Li W, Yang T, Bai H, Chang G. Analysis of the Transcriptional Control of Bcl11b in Chicken: IRF1 and GATA1 as Negative Regulators. Animals (Basel) 2025; 15:665. [PMID: 40075948 PMCID: PMC11898421 DOI: 10.3390/ani15050665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2025] [Revised: 02/15/2025] [Accepted: 02/24/2025] [Indexed: 03/14/2025] Open
Abstract
B-cell lymphoma/leukemia 11B (Bcl11b) plays roles in cell proliferation and apoptosis and holds a pivotal position within the immune system. Our previous studies have demonstrated that Bcl11b can promote cell apoptosis to curb ALV-J infection. To gain insights into the molecular mechanisms underlying Bcl11b expression regulation in chickens, we constructed various truncated dual luciferase reporter vectors and analyzed the promoter region of Bcl11b. We employed promoter-binding TF profiling assay and the dual luciferase assay of site-directed mutagenesis and the expression level of interfering or overexpressing transcription factors were used to study their transcriptional regulation mechanism of chicken Bcl11b and functions in ALV-J infection. Our findings revealed core regulatory regions of the chicken Bcl11b promoter. By examining the -606~-363 bp region, we identified several transcription factors and their binding sites. Mutational and functional analysis further revealed interferon regulatory factor-1 (IRF1) and GATA-binding protein 1 (GATA1) as critical factors for the repression of chicken Bcl11b, thereby affecting cell apoptosis and ALV-J replication. Furthermore, DNA methylation analysis indicated that methylation may also contribute to changes in Bcl11b promoter activity. These findings offer valuable insights into the regulatory mechanisms of chicken Bcl11b and provide promising targets for molecular breeding and genetic improvement of disease resistance in chickens.
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Affiliation(s)
- Lingling Qiu
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China; (L.Q.); (H.W.); (W.L.); (T.Y.)
| | - Haojie Wang
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China; (L.Q.); (H.W.); (W.L.); (T.Y.)
| | - Wenhao Li
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China; (L.Q.); (H.W.); (W.L.); (T.Y.)
| | - Ting Yang
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China; (L.Q.); (H.W.); (W.L.); (T.Y.)
| | - Hao Bai
- Joint International Research Laboratory of Agriculture and Agri-Product Safety the Ministry of Education of China, Institutes of Agricultural Science and Technology Development, Yangzhou University, Yangzhou 225009, China;
| | - Guobin Chang
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China; (L.Q.); (H.W.); (W.L.); (T.Y.)
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17
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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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18
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Mengistu DY, Terribili M, Pellacani C, Ciapponi L, Marzullo M. Epigenetic regulation of TDP-43: potential implications for amyotrophic lateral sclerosis. FRONTIERS IN MOLECULAR MEDICINE 2025; 5:1530719. [PMID: 40017539 PMCID: PMC11865237 DOI: 10.3389/fmmed.2025.1530719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/19/2024] [Accepted: 01/22/2025] [Indexed: 03/01/2025]
Abstract
Amyotrophic lateral sclerosis (ALS) is a multifactorial neurodegenerative disease characterized by the progressive degeneration of motor neurons. One of the key pathogenic factors implicated in ALS is TDP-43 (TAR DNA-binding protein 43), an RNA-binding protein encoded by the TARDBP gene. Under normal physiological conditions, TDP-43 predominantly resides in the nucleus, where it plays a critical role in regulating gene expression, alternative splicing, RNA transport, and stability. In ALS, TDP-43 undergoes pathological mislocalization from the nucleus to the cytoplasm, disrupting its normal function and contributing to disease progression. The nuclear loss of TDP-43 leads to widespread dysregulation of RNA metabolism. Moreover, mislocalized TDP-43 aggregates in the cytoplasm, acquires toxic properties that sequester essential RNA molecules and proteins. Importantly, deviations in TDP-43 levels, whether excessive or reduced, can lead to cellular dysfunction, and contribute to disease progression, highlighting the delicate balance required for neuronal health. Emerging evidence suggests that epigenetic mechanisms may play a crucial role in regulating TARDBP expression and, consequently, TDP-43 cellular levels. Epigenetic modifications such as DNA methylation, histone modifications, and non-coding RNAs are increasingly recognized as modulators of gene expression and cellular function in neurodegenerative diseases, including ALS. Dysregulation of these processes could contribute to aberrant TARDBP expression, amplifying TDP-43-associated pathologies. This review explores and summarizes the recent findings on how specific epigenetic modifications influence TDP-43 expression and discusses their possible implications for disease progression.
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Affiliation(s)
- D. Y. Mengistu
- Department of Biology and Biotechnologies, Sapienza University of Rome, Rome, Italy
| | - M. Terribili
- Department of Biology and Biotechnologies, Sapienza University of Rome, Rome, Italy
| | - C. Pellacani
- Istituto Di Biologia e Patologia Molecolari, CNR, Sapienza Università Di Roma, Rome, Italy
| | - L. Ciapponi
- Department of Biology and Biotechnologies, Sapienza University of Rome, Rome, Italy
| | - M. Marzullo
- Department of Biology and Biotechnologies, Sapienza University of Rome, Rome, Italy
- Istituto Di Biologia e Patologia Molecolari, CNR, Sapienza Università Di Roma, Rome, Italy
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19
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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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20
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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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21
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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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22
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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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23
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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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24
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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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25
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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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26
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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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27
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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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28
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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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29
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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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30
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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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31
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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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32
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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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33
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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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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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35
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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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36
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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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37
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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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38
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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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39
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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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40
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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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41
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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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42
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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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 05/08/2024] [Indexed: 06/30/2024]
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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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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47
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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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48
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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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49
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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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