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Mätlik K, Govek EE, Hatten ME. Histone bivalency in CNS development. Genes Dev 2025; 39:428-444. [PMID: 39880657 PMCID: PMC11960699 DOI: 10.1101/gad.352306.124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2025]
Abstract
Neuronal maturation is guided by changes in the chromatin landscape that control developmental gene expression programs. Histone bivalency, the co-occurrence of activating and repressive histone modifications, has emerged as an epigenetic feature of developmentally regulated genes during neuronal maturation. Although initially associated with early embryonic development, recent studies have shown that histone bivalency also exists in differentiated and mature neurons. In this review, we discuss methods to study bivalency in specific populations of neurons and summarize emerging studies on the function of bivalency in central nervous system neuronal maturation and in adult neurons.
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Affiliation(s)
- Kärt Mätlik
- Laboratory of Developmental Neurobiology, The Rockefeller University, New York, New York 10065, USA;
- Department of Chemistry and Biotechnology, Tallinn University of Technology, Tallinn 12618, Estonia
| | - Eve-Ellen Govek
- Laboratory of Developmental Neurobiology, The Rockefeller University, New York, New York 10065, USA
| | - Mary E Hatten
- Laboratory of Developmental Neurobiology, The Rockefeller University, New York, New York 10065, USA;
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2
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Jin EJ, Qi YB, Chisholm AD, Jin Y. The BEN domain protein LIN-14 coordinates neuromuscular positioning during epidermal maturation. iScience 2025; 28:111577. [PMID: 39817198 PMCID: PMC11732705 DOI: 10.1016/j.isci.2024.111577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2024] [Revised: 10/01/2024] [Accepted: 12/09/2024] [Indexed: 01/18/2025] Open
Abstract
Development and function of an organism depend on coordinated inter-tissue interaction. How such interactions are maintained during tissue renewal and reorganization remains poorly understood. Here, we find that Caenorhabditis elegans BEN domain transcription factor LIN-14 is required in epidermis for maintaining the position of motor neurons and muscles during developmental tissue reorganization. lin-14 loss of function (lf) mutants display highly penetrant ventral neuromuscular mispositioning. These defects arise post-embryonically during first larval (L1) stage as the maturing epidermis replaces the embryonic ventral epidermis. Tissue-specific and temporally controlled depletion experiments indicate LIN-14 acts within the epidermis for ventral neuromuscular positioning. lin-14(lf) mutants show defects in formation of epidermis-muscle attachment complex hemidesmosomes in the maturing ventral epidermis, leading to detachment of muscles and motor neurons as well as movement defects. Our findings reveal a cell non-autonomous role for LIN-14 in coordinating inter-tissue interaction and neuromuscular positioning during epidermal maturation.
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Affiliation(s)
- Eugene Jennifer Jin
- Department of Neurobiology, School of Biological Sciences, University of California, San Diego, La Jolla, CA 92093, USA
| | - Yingchuan Billy Qi
- Department of Neurobiology, School of Biological Sciences, University of California, San Diego, La Jolla, CA 92093, USA
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Andrew D. Chisholm
- Department of Neurobiology, School of Biological Sciences, University of California, San Diego, La Jolla, CA 92093, USA
- Department of Cell and Developmental Biology, School of Biological Sciences, University of California, San Diego, La Jolla, CA 92093, USA
| | - Yishi Jin
- Department of Neurobiology, School of Biological Sciences, University of California, San Diego, La Jolla, CA 92093, USA
- Kavli Institute of Brain and Mind, University of California, San Diego, La Jolla, CA 92093, USA
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3
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Trouth A, Veronezi GMB, Ramachandran S. The impact of cell states on heterochromatin dynamics. Biochem J 2024; 481:1519-1533. [PMID: 39422321 PMCID: PMC12068662 DOI: 10.1042/bcj20240139] [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: 08/09/2024] [Revised: 10/04/2024] [Accepted: 10/07/2024] [Indexed: 10/19/2024]
Abstract
Establishing, maintaining, and removing histone post-translational modifications associated with heterochromatin is critical for shaping genomic structure and function as a cell navigates different stages of development, activity, and disease. Dynamic regulation of the repressive chromatin landscape has been documented in several key cell states - germline cells, activated immune cells, actively replicating, and quiescent cells - with notable variations in underlying mechanisms. Here, we discuss the role of cell states of these diverse contexts in directing and maintaining observed chromatin landscapes. These investigations reveal heterochromatin architectures that are highly responsive to the functional context of a cell's existence and, in turn, their contribution to the cell's stable identity.
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Affiliation(s)
- Abby Trouth
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045
| | - Giovana M. B. Veronezi
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045
| | - Srinivas Ramachandran
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045
- RNA Bioscience Initiative, University of Colorado Anschutz Medical Campus, Aurora, CO 80045
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4
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Jiang L, Huang L, Jiang W. H3K27me3-mediated epigenetic regulation in pluripotency maintenance and lineage differentiation. CELL INSIGHT 2024; 3:100180. [PMID: 39072246 PMCID: PMC11278802 DOI: 10.1016/j.cellin.2024.100180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/28/2024] [Revised: 06/20/2024] [Accepted: 06/26/2024] [Indexed: 07/30/2024]
Abstract
Cell fate determination is an intricate process which is orchestrated by multiple regulatory layers including signal pathways, transcriptional factors, epigenetic modifications, and metabolic rewiring. Among the sophisticated epigenetic modulations, the repressive mark H3K27me3, deposited by PRC2 (polycomb repressive complex 2) and removed by demethylase KDM6, plays a pivotal role in mediating the cellular identity transition through its dynamic and precise alterations. Herein, we overview and discuss how H3K27me3 and its modifiers regulate pluripotency maintenance and early lineage differentiation. We primarily highlight the following four aspects: 1) the two subcomplexes PRC2.1 and PRC2.2 and the distribution of genomic H3K27 methylation; 2) PRC2 as a critical regulator in pluripotency maintenance and exit; 3) the emerging role of the eraser KDM6 in early differentiation; 4) newly identified additional factors influencing H3K27me3. We present a comprehensive insight into the molecular principles of the dynamic regulation of H3K27me3, as well as how this epigenetic mark participates in pluripotent stem cell-centered cell fate determination.
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Affiliation(s)
- Liwen Jiang
- Department of Biological Repositories, Frontier Science Center for Immunology and Metabolism, Medical Research Institute, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, 430071, China
| | - Linfeng Huang
- Wang-Cai Biochemistry Lab, Division of Natural and Applied Sciences, Duke Kunshan University, Kunshan, Jiangsu, China
| | - Wei Jiang
- Department of Biological Repositories, Frontier Science Center for Immunology and Metabolism, Medical Research Institute, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, 430071, China
- Hubei Provincial Key Laboratory of Developmentally Originated Disease, Wuhan, 430071, China
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5
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Zhong C, Jiang WJ, Yao Y, Li Z, Li Y, Wang S, Wang X, Zhu W, Wu S, Wang J, Fan S, Ma S, Liu Y, Zhang H, Zhao W, Zhao L, Feng Y, Li Z, Guo R, Yu L, Pei F, Hu J, Feng X, Yang Z, Yang Z, Yang X, Hou Y, Zhang D, Xu D, Sheng R, Li Y, Liu L, Wu HJ, Huang J, Fei T. CRISPR screens reveal convergent targeting strategies against evolutionarily distinct chemoresistance in cancer. Nat Commun 2024; 15:5502. [PMID: 38951519 PMCID: PMC11217446 DOI: 10.1038/s41467-024-49673-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 06/17/2024] [Indexed: 07/03/2024] Open
Abstract
Resistance to chemotherapy has been a major hurdle that limits therapeutic benefits for many types of cancer. Here we systematically identify genetic drivers underlying chemoresistance by performing 30 genome-scale CRISPR knockout screens for seven chemotherapeutic agents in multiple cancer cells. Chemoresistance genes vary between conditions primarily due to distinct genetic background and mechanism of action of drugs, manifesting heterogeneous and multiplexed routes towards chemoresistance. By focusing on oxaliplatin and irinotecan resistance in colorectal cancer, we unravel that evolutionarily distinct chemoresistance can share consensus vulnerabilities identified by 26 second-round CRISPR screens with druggable gene library. We further pinpoint PLK4 as a therapeutic target to overcome oxaliplatin resistance in various models via genetic ablation or pharmacological inhibition, highlighting a single-agent strategy to antagonize evolutionarily distinct chemoresistance. Our study not only provides resources and insights into the molecular basis of chemoresistance, but also proposes potential biomarkers and therapeutic strategies against such resistance.
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Affiliation(s)
- Chunge Zhong
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
- Foshan Graduate School of Innovation, Northeastern University, Foshan, 528311, China
| | - Wen-Jie Jiang
- Peking University Third Hospital, Beijing, 100191, China
| | - Yingjia Yao
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - Zexu Li
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - You Li
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - Shengnan Wang
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - Xiaofeng Wang
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - Wenjuan Zhu
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - Siqi Wu
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
| | - Jing Wang
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
| | - Shuangshuang Fan
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - Shixin Ma
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - Yeshu Liu
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
| | - Han Zhang
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - Wenchang Zhao
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - Lu Zhao
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - Yi Feng
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - Zihan Li
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - Ruifang Guo
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
| | - Li Yu
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
| | - Fengyun Pei
- Department of Colorectal Surgery, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Jun Hu
- Clinical Research Center, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Guangdong Institute of Gastroenterology, Guangzhou, China
| | - Xingzhi Feng
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Guangdong Institute of Gastroenterology, Guangzhou, China
| | - Zihuan Yang
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Guangdong Institute of Gastroenterology, Guangzhou, China
| | - Zhengjia Yang
- Department of Cardiothoracic Surgery, Jinqiu Hospital of Liaoning Province, Shenyang, China
| | - Xueying Yang
- Department of Thoracic Surgery, The Fourth Affiliated Hospital of China Medical University, Shenyang, China
| | - Yue Hou
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
| | - Danni Zhang
- Key Laboratory for Anisotropy and Texture of Materials (Ministry of Education), School of Materials Science and Engineering, Northeastern University, Shenyang, China
| | - Dake Xu
- Key Laboratory for Anisotropy and Texture of Materials (Ministry of Education), School of Materials Science and Engineering, Northeastern University, Shenyang, China
| | - Ren Sheng
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
| | - Yihao Li
- BeiGene Institute, BeiGene (Shanghai) Research & Development Co., Ltd, 200131, Shanghai, China
| | - Lijun Liu
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
| | - Hua-Jun Wu
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, 100142, China.
- Department of Biomedical Informatics, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, 100191, China.
- Center for Precision Medicine Multi-Omics Research, Institute of Advanced Clinical Medicine, Peking University, Beijing, 100191, China.
| | - Jun Huang
- Department of Colorectal Surgery, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
- Clinical Research Center, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
- Guangdong Institute of Gastroenterology, Guangzhou, China.
| | - Teng Fei
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China.
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China.
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China.
- Foshan Graduate School of Innovation, Northeastern University, Foshan, 528311, China.
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Xie H, Guo W, Jiang H, Zhang T, Zhao L, Hu J, Gao S, Song S, Xu J, Xu L, Sun X, Ding Y, Jiang L, Ding X. Photosensitive Hydrogel with Temperature-Controlled Reversible Nano-Apertures for Single-Cell Protein Analysis. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2308569. [PMID: 38483955 PMCID: PMC11109651 DOI: 10.1002/advs.202308569] [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: 11/09/2023] [Revised: 02/15/2024] [Indexed: 05/23/2024]
Abstract
Single cell western blot (scWB) is one of the most important methods for cellular heterogeneity profiling. However, current scWB based on conventional photoactive polyacrylamide hydrogel material suffers from the tradeoff between in-gel probing and separation resolution. Here, a highly sensitive temperature-controlled single-cell western blotting (tc-scWB) method is introduced, which is based on a thermo/photo-dualistic-sensitive polyacrylamide hydrogel, namely acrylic acid-functionalized graphene oxide (AFGO) assisted, N-isopropylacrylamide modified polyacrylamide (ANP) hydrogel. The ANP hydrogel is contracted at high-temperature to constrain protein band diffusion during microchip electrophoretic separation, while the gel aperture is expanded under low-temperature for better antibody penetration into the hydrogel. The tc-scWB method enables the separation and profiling of small-molecule-weight proteins with highly crosslinked gel (12% T) in SDS-PAGE. The tc-scWB is demonstrated on three metabolic and ER stress-specific proteins (CHOP, MDH2 and FH) in four pancreatic cell subtypes, revealing the expression of key enzymes in the Krebs cycle is upregulated with enhanced ER stress. It is found that ER stress can regulate crucial enzyme (MDH2 and FH) activities of metabolic cascade in cancer cells, boosting aerobic respiration to attenuate the Warburg effect and promote cell apoptosis. The tc-scWB is a general toolbox for the analysis of low-abundance small-molecular functional proteins at the single-cell level.
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Affiliation(s)
- Haiyang Xie
- Department of Anesthesiology and Surgical Intensive Care UnitXinhua HospitalSchool of Medicine and School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200092China
- State Key Laboratory of Oncogenes and Related GenesInstitute for Personalized MedicineSchool of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200030China
| | - Wenke Guo
- Department of Anesthesiology and Surgical Intensive Care UnitXinhua HospitalSchool of Medicine and School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200092China
- State Key Laboratory of Oncogenes and Related GenesInstitute for Personalized MedicineSchool of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200030China
| | - Hui Jiang
- Department of Anesthesiology and Surgical Intensive Care UnitXinhua HospitalSchool of Medicine and School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200092China
- State Key Laboratory of Oncogenes and Related GenesInstitute for Personalized MedicineSchool of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200030China
| | - Ting Zhang
- Department of Anesthesiology and Surgical Intensive Care UnitXinhua HospitalSchool of Medicine and School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200092China
- State Key Laboratory of Oncogenes and Related GenesInstitute for Personalized MedicineSchool of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200030China
| | - Lei Zhao
- Department of Anesthesiology and Surgical Intensive Care UnitXinhua HospitalSchool of Medicine and School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200092China
- State Key Laboratory of Oncogenes and Related GenesInstitute for Personalized MedicineSchool of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200030China
| | - Jinjuan Hu
- Department of Anesthesiology and Surgical Intensive Care UnitXinhua HospitalSchool of Medicine and School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200092China
- State Key Laboratory of Oncogenes and Related GenesInstitute for Personalized MedicineSchool of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200030China
| | - Shuxin Gao
- Department of Anesthesiology and Surgical Intensive Care UnitXinhua HospitalSchool of Medicine and School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200092China
- State Key Laboratory of Oncogenes and Related GenesInstitute for Personalized MedicineSchool of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200030China
| | - Sunfengda Song
- Department of Anesthesiology and Surgical Intensive Care UnitXinhua HospitalSchool of Medicine and School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200092China
- State Key Laboratory of Oncogenes and Related GenesInstitute for Personalized MedicineSchool of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200030China
| | - Jiasu Xu
- Department of Anesthesiology and Surgical Intensive Care UnitXinhua HospitalSchool of Medicine and School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200092China
- State Key Laboratory of Oncogenes and Related GenesInstitute for Personalized MedicineSchool of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200030China
| | - Li Xu
- Department of Anesthesiology and Surgical Intensive Care UnitXinhua HospitalSchool of Medicine and School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200092China
- State Key Laboratory of Oncogenes and Related GenesInstitute for Personalized MedicineSchool of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200030China
| | - Xinyi Sun
- Department of Anesthesiology and Surgical Intensive Care UnitXinhua HospitalSchool of Medicine and School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200092China
- State Key Laboratory of Oncogenes and Related GenesInstitute for Personalized MedicineSchool of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200030China
| | - Yi Ding
- Department of Anesthesiology and Surgical Intensive Care UnitXinhua HospitalSchool of Medicine and School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200092China
- State Key Laboratory of Oncogenes and Related GenesInstitute for Personalized MedicineSchool of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200030China
| | - Lai Jiang
- Department of Anesthesiology and Surgical Intensive Care UnitXinhua HospitalSchool of Medicine and School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200092China
- State Key Laboratory of Oncogenes and Related GenesInstitute for Personalized MedicineSchool of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200030China
| | - Xianting Ding
- Department of Anesthesiology and Surgical Intensive Care UnitXinhua HospitalSchool of Medicine and School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200092China
- State Key Laboratory of Oncogenes and Related GenesInstitute for Personalized MedicineSchool of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200030China
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7
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Glancy E, Choy N, Eckersley-Maslin MA. Bivalent chromatin: a developmental balancing act tipped in cancer. Biochem Soc Trans 2024; 52:217-229. [PMID: 38385532 PMCID: PMC10903468 DOI: 10.1042/bst20230426] [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: 11/21/2023] [Revised: 02/05/2024] [Accepted: 02/07/2024] [Indexed: 02/23/2024]
Abstract
Bivalent chromatin is defined by the co-occurrence of otherwise opposing H3K4me3 and H3K27me3 modifications and is typically located at unmethylated promoters of lowly transcribed genes. In embryonic stem cells, bivalent chromatin has been proposed to poise developmental genes for future activation, silencing or stable repression upon lineage commitment. Normally, bivalent chromatin is kept in tight balance in cells, in part through the activity of the MLL/COMPASS-like and Polycomb repressive complexes that deposit the H3K4me3 and H3K27me3 modifications, respectively, but also emerging novel regulators including DPPA2/4, QSER1, BEND3, TET1 and METTL14. In cancers, both the deregulation of existing domains and the creation of de novo bivalent states is associated with either the activation or silencing of transcriptional programmes. This may facilitate diverse aspects of cancer pathology including epithelial-to-mesenchymal plasticity, chemoresistance and immune evasion. Here, we review current methods for detecting bivalent chromatin and discuss the factors involved in the formation and fine-tuning of bivalent domains. Finally, we examine how the deregulation of chromatin bivalency in the context of cancer could facilitate and/or reflect cancer cell adaptation. We propose a model in which bivalent chromatin represents a dynamic balance between otherwise opposing states, where the underlying DNA sequence is primed for the future activation or repression. Shifting this balance in any direction disrupts the tight equilibrium and tips cells into an altered epigenetic and phenotypic space, facilitating both developmental and cancer processes.
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Affiliation(s)
- Eleanor Glancy
- Peter MacCallum Cancer Centre, Melbourne, Victoria 3000, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Natalie Choy
- Peter MacCallum Cancer Centre, Melbourne, Victoria 3000, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Melanie A. Eckersley-Maslin
- Peter MacCallum Cancer Centre, Melbourne, Victoria 3000, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Victoria 3010, Australia
- Department of Anatomy and Physiology, The University of Melbourne, Melbourne, Victoria 3010, Australia
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8
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Schütz M, Cordsmeier A, Wangen C, Horn AHC, Wyler E, Ensser A, Sticht H, Marschall M. The Interactive Complex between Cytomegalovirus Kinase vCDK/pUL97 and Host Factors CDK7-Cyclin H Determines Individual Patterns of Transcription in Infected Cells. Int J Mol Sci 2023; 24:17421. [PMID: 38139252 PMCID: PMC10744309 DOI: 10.3390/ijms242417421] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Revised: 12/06/2023] [Accepted: 12/09/2023] [Indexed: 12/24/2023] Open
Abstract
The infection of human cytomegalovirus (HCMV) is strongly determined by the host-cell interaction in a way that the efficiency of HCMV lytic replication is dependent on the regulatory interplay between viral and cellular proteins. In particular, the activities of protein kinases, such as cyclin-dependent kinases (CDKs) and the viral CDK ortholog (vCDK/pUL97), play an important role in both viral reproduction and virus-host interaction. Very recently, we reported on the complexes formed between vCDK/pUL97, human cyclin H, and CDK7. Major hallmarks of this interplay are the interaction between cyclin H and vCDK/pUL97, which is consistently detectable across various conditions and host cell types of infection, the decrease or increase in pUL97 kinase activity resulting from cyclin H knock-down or elevated levels, respectively, and significant trans-stimulation of human CDK7 activity by pUL97 in vitro. Due to the fact that even a ternary complex of vCDK/pUL97-cyclin H-CDK7 can be detected by coimmunoprecipitation and visualized by bioinformatic structural modeling, we postulated a putative impact of the respective kinase activities on the patterns of transcription in HCMV-infected cells. Here, we undertook a first vCDK/pUL97-specific transcriptomic analysis, which combined conditions of fully lytic HCMV replication with those under specific vCDK/pUL97 or CDK7 drug-mediated inhibition or transient cyclin H knockout. The novel results were further strengthened using bioinformatic modeling of the involved multi-protein complexes. Our data underline the importance of these kinase activities for the C-terminal domain (CTD) phosphorylation-driven activation of host RNA polymerase in HCMV-infected cells. The impact of the individual experimental conditions on differentially expressed gene profiles is described in detail and discussed.
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Affiliation(s)
- Martin Schütz
- Institute for Clinical and Molecular Virology, Friedrich-Alexander University of Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany
| | - Arne Cordsmeier
- Institute for Clinical and Molecular Virology, Friedrich-Alexander University of Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany
| | - Christina Wangen
- Institute for Clinical and Molecular Virology, Friedrich-Alexander University of Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany
| | - Anselm H. C. Horn
- Division of Bioinformatics, Institute of Biochemistry, Friedrich-Alexander University of Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany
| | - Emanuel Wyler
- Max-Delbrück-Center for Molecular Medicine (MDC), 13125 Berlin, Germany
| | - Armin Ensser
- Institute for Clinical and Molecular Virology, Friedrich-Alexander University of Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany
| | - Heinrich Sticht
- Division of Bioinformatics, Institute of Biochemistry, Friedrich-Alexander University of Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany
| | - Manfred Marschall
- Institute for Clinical and Molecular Virology, Friedrich-Alexander University of Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany
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9
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Yakhou L, Azogui A, Gupta N, Richard Albert J, Miura F, Ferry L, Yamaguchi K, Battault S, Therizols P, Bonhomme F, Bethuel E, Sarkar A, Greenberg MC, Arimondo P, Cristofari G, Kirsh O, Ito T, Defossez PA. A genetic screen identifies BEND3 as a regulator of bivalent gene expression and global DNA methylation. Nucleic Acids Res 2023; 51:10292-10308. [PMID: 37650637 PMCID: PMC10602864 DOI: 10.1093/nar/gkad719] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 07/20/2023] [Accepted: 08/18/2023] [Indexed: 09/01/2023] Open
Abstract
Epigenetic mechanisms are essential to establish and safeguard cellular identities in mammals. They dynamically regulate the expression of genes, transposable elements and higher-order chromatin structures. Consequently, these chromatin marks are indispensable for mammalian development and alterations often lead to disease, such as cancer. Bivalent promoters are especially important during differentiation and development. Here we used a genetic screen to identify new regulators of a bivalent repressed gene. We identify BEND3 as a regulator of hundreds of bivalent promoters, some of which it represses, and some of which it activates. We show that BEND3 is recruited to a CpG-containg consensus site that is present in multiple copies in many bivalent promoters. Besides having direct effect on the promoters it binds, the loss of BEND3 leads to genome-wide gains of DNA methylation, which are especially marked at regions normally protected by the TET enzymes. DNA hydroxymethylation is reduced in Bend3 mutant cells, possibly as consequence of altered gene expression leading to diminished alpha-ketoglutarate production, thus lowering TET activity. Our results clarify the direct and indirect roles of an important chromatin regulator, BEND3, and, more broadly, they shed light on the regulation of bivalent promoters.
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Affiliation(s)
- Lounis Yakhou
- Université Paris Cité, CNRS, Epigenetics and Cell Fate, F-75013 Paris, France
| | - Anaelle Azogui
- Université Paris Cité, CNRS, Epigenetics and Cell Fate, F-75013 Paris, France
| | - Nikhil Gupta
- Université Paris Cité, CNRS, Epigenetics and Cell Fate, F-75013 Paris, France
| | | | - Fumihito Miura
- Department of Biochemistry, Kyushu University Graduate School of Medical Sciences, Fukuoka, Fukuoka 812-8582, Japan
| | - Laure Ferry
- Université Paris Cité, CNRS, Epigenetics and Cell Fate, F-75013 Paris, France
| | - Kosuke Yamaguchi
- Université Paris Cité, CNRS, Epigenetics and Cell Fate, F-75013 Paris, France
| | - Sarah Battault
- Université Paris Cité, CNRS, Epigenetics and Cell Fate, F-75013 Paris, France
| | - Pierre Therizols
- Université Paris Cité, CNRS, Epigenetics and Cell Fate, F-75013 Paris, France
| | - Frédéric Bonhomme
- Institut Pasteur, Université Paris Cité, CNRS, Epigenetic Chemical Biology, UMR 3523, F-75724 Paris, France
| | - Elouan Bethuel
- Université Paris Cité, CNRS, Epigenetics and Cell Fate, F-75013 Paris, France
| | - Arpita Sarkar
- Université Côte d’Azur, Inserm, CNRS, IRCAN, Nice, France
| | | | - Paola B Arimondo
- Institut Pasteur, Université Paris Cité, CNRS, Epigenetic Chemical Biology, UMR 3523, F-75724 Paris, France
| | | | - Olivier Kirsh
- Université Paris Cité, CNRS, Epigenetics and Cell Fate, F-75013 Paris, France
| | - Takashi Ito
- Department of Biochemistry, Kyushu University Graduate School of Medical Sciences, Fukuoka, Fukuoka 812-8582, Japan
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10
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Gräwe C, Hernandez-Quiles M, Jansen PWTC, Brimmers A, Vermeulen M. Determining DNA-Protein Binding Affinities and Specificities from Crude Lysates Using a Combined SILAC/TMT Labeling Strategy. J Proteome Res 2023; 22:2683-2693. [PMID: 37466164 PMCID: PMC10407929 DOI: 10.1021/acs.jproteome.3c00248] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Indexed: 07/20/2023]
Abstract
In recent years, quantitative mass spectrometry-based interaction proteomics technology has proven very useful in identifying specific DNA-protein interactions using single pull-downs from crude lysates. Here, we applied a SILAC/TMT-based higher-order multiplexing approach to develop an interaction proteomics workflow called Protein-nucleic acid Affinity and Specificity quantification by MAss spectrometry in Nuclear extracts or PASMAN. In PASMAN, DNA pull-downs using a concentration range of specific and control DNA baits are performed in SILAC-labeled nuclear extracts. MS1-based quantification to determine specific DNA-protein interactions is then combined with sequential TMT-based quantification of fragmented SILAC peptides, allowing the generation of Hill-like curves and determination of apparent binding affinities. We benchmarked PASMAN using the SP/KLF motif and further applied it to gain insights into two CGCG-containing consensus DNA motifs. These motifs are recognized by two BEN domain-containing proteins, BANP and BEND3, which we find to interact with these motifs with distinct affinities. Finally, we profiled the BEND3 proximal proteome, revealing the NuRD complex as the major BEND3 proximal protein complex in vivo. In summary, PASMAN represents, to our knowledge, the first higher-order multiplexing-based interaction proteomics method that can be used to decipher specific DNA-protein interactions and their apparent affinities in various biological and pathological contexts.
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Affiliation(s)
- Cathrin Gräwe
- Department
of Molecular Biology, Faculty of Science, Radboud Institute for Molecular Life Sciences, Oncode Institute,
Radboud University Nijmegen, 6525 GA Nijmegen, The Netherlands
| | - Miguel Hernandez-Quiles
- Department
of Molecular Biology, Faculty of Science, Radboud Institute for Molecular Life Sciences, Oncode Institute,
Radboud University Nijmegen, 6525 GA Nijmegen, The Netherlands
- Division
of Molecular Genetics, The Netherlands Cancer
Institute, 1066CX Amsterdam, the Netherlands
| | - Pascal W. T. C. Jansen
- Department
of Molecular Biology, Faculty of Science, Radboud Institute for Molecular Life Sciences, Oncode Institute,
Radboud University Nijmegen, 6525 GA Nijmegen, The Netherlands
| | - Annika Brimmers
- Department
of Molecular Biology, Faculty of Science, Radboud Institute for Molecular Life Sciences, Oncode Institute,
Radboud University Nijmegen, 6525 GA Nijmegen, The Netherlands
| | - Michiel Vermeulen
- Department
of Molecular Biology, Faculty of Science, Radboud Institute for Molecular Life Sciences, Oncode Institute,
Radboud University Nijmegen, 6525 GA Nijmegen, The Netherlands
- Division
of Molecular Genetics, The Netherlands Cancer
Institute, 1066CX Amsterdam, the Netherlands
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11
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Khan A, Prasanth S. BENDing with Polycomb in pluripotency and cancer. Bioessays 2023; 45:e2300046. [PMID: 37194980 PMCID: PMC10524657 DOI: 10.1002/bies.202300046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 05/04/2023] [Accepted: 05/09/2023] [Indexed: 05/18/2023]
Abstract
Three recent publications on BEND3 firmly establish its role as a novel sequence-specific transcription factor that is essential for PRC2 recruitment and maintenance of pluripotency. Here, we briefly review our current understanding of the BEND3-PRC2 axis in the regulation of pluripotency and also explore the possibility of a similar connection in cancer.
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Affiliation(s)
- Abid Khan
- Department of Biochemistry and Biophysics, University of North Carolina, Chapel Hill, NC 27599-7260
| | - Supriya Prasanth
- Department of Cell and Developmental Biology, University of Illinois at Urbana-Champaign, 601S Goodwin Avenue, Urbana, IL 61801 USA
- Cancer center at Illinois, UIUC
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12
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Naiyer S, Dwivedi L, Singh N, Phulera S, Mohan V, Kamran M. Role of Transcription Factor BEND3 and Its Potential Effect on Cancer Progression. Cancers (Basel) 2023; 15:3685. [PMID: 37509346 PMCID: PMC10377563 DOI: 10.3390/cancers15143685] [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: 05/29/2023] [Revised: 07/08/2023] [Accepted: 07/18/2023] [Indexed: 07/30/2023] Open
Abstract
BEND3 is a transcription factor that plays a critical role in the regulation of gene expression in mammals. While there is limited research on the role of BEND3 as a tumor suppressor or an oncogene and its potential role in cancer therapy is still emerging, several studies suggest that it may be involved in both the processes. Its interaction and regulation with multiple other factors via p21 have already been reported to play a significant role in cancer development, which serves as an indication of its potential role in oncogenesis. Its interaction with chromatin modifiers such as NuRD and NoRC and its role in the recruitment of polycomb repressive complex 2 (PRC2) are some of the additional events indicative of its potential role in cancer development. Moreover, a few recent studies indicate BEND3 as a potential target for cancer therapy. Since the specific mechanisms by which BEND3 may contribute to cancer progression are not yet fully elucidated, in this review, we have discussed the possible pathways BEND3 may take to serve as an oncogenic driver or suppressor.
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Affiliation(s)
- Sarah Naiyer
- Department of Biomedical Science, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Lalita Dwivedi
- Faculty of Science, Department of Biotechnology, Invertis University, Bareilly 243122, UP, India
| | - Nishant Singh
- Cell and Gene Therapy Division Absorption System, Exton, PA 19341, USA
| | - Swastik Phulera
- Initium Therapeutics, 22 Strathmore Rd., STE 453, Natick, MA 01760, USA
| | - Vijay Mohan
- Department of Biosciences, School of Basic and Applied Sciences, Galgotias University, Greater Noida 203201, UP, India
| | - Mohammad Kamran
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10065, USA
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13
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Kumar S, Das A. Peripheral Blood Mononuclear Cell derived Biomarker detection using eXplainable Artificial Intelligence (XAI) provides better diagnosis of Breast Cancer. Comput Biol Chem 2023; 104:107867. [PMID: 37030103 DOI: 10.1016/j.compbiolchem.2023.107867] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 03/22/2023] [Accepted: 04/01/2023] [Indexed: 04/05/2023]
Abstract
The incidence and mortality rate of breast cancer increases yearly by an average of 1.44 % and 0.23 %, respectively. Till 2021, there were 7.8 million women who had been diagnosed with breast cancer within 5 years. Biopsies of tumors are often expensive and invasive and raise the risk of serious complications like infection, excessive bleeding, and puncture damage to nearby tissues and organs. Early detection biomarkers are often variably expressed in different patients and may even be below the detection level at an early stage. Hence PBMC that shows alteration in gene profile as a result of interaction with tumor antigens may serve as a better early detection biomarker. Also, such alterations in immune gene profile in PBMCs are more prone to detection despite variability in different breast cancer mutants.This study aimed to identify potential diagnostic biomarkers for breast cancer using eXplainable Artificial Intelligence (XAI) on XGBoost machine learning (ML) models trained on a binary classification dataset containing the expression data of PBMCs from 252 breast cancer patients and 194 healthy women.After effectively adding SHAP values further into the XGBoost model, ten important genes related to breast cancer development were discovered to be effective potential biomarkers. Our studies showed that SVIP, BEND3, MDGA2, LEF1-AS1, PRM1, TEX14, MZB1, TMIGD2, KIT, and FKBP7 are key genes that impact model prediction. These genes may serve as early, non-invasive diagnostic and prognostic biomarkers for breast cancer patients.
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14
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Yu Y. BEND3 takes the rein. SCIENCE CHINA. LIFE SCIENCES 2023; 66:1210-1212. [PMID: 36648610 DOI: 10.1007/s11427-022-2134-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 05/21/2022] [Indexed: 01/18/2023]
Affiliation(s)
- Yang Yu
- State Key Laboratory of Medical Molecular Biology, Department of Molecular Biology and Biochemistry, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
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15
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Kurniawan F, Prasanth SG. A BEN-domain protein and polycomb complex work coordinately to regulate transcription. Transcription 2022; 13:82-87. [PMID: 35904285 PMCID: PMC9467525 DOI: 10.1080/21541264.2022.2105128] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2022] Open
Abstract
Transcription regulation is an important mechanism that controls pluripotency and differentiation. Transcription factors dictate cell fate decisions by functioning cooperatively with chromatin regulators. We have recently demonstrated that BEND3 (BANP, E5R and Nac1 domain) protein regulates the expression of differentiation-associated genes by modulating the chromatin architecture at promoters. We highlight the collaboration of BEND3 with the polycomb repressive complex in coordinating transcription repression and propose a model highlighting the relevance of the BEND3-PRC2 axis in gene regulation and chromatin organization.Abbreviations: BEND3, BANP, E5R and Nac1 domain; rDNA, ribosomal DNA; PRC2, Polycomb Repressive Complex 2; H3K27me3, Histone H3 Lysine 27 methylation; PcG, Polycomb group.
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Affiliation(s)
- Fredy Kurniawan
- Department of Cell and Developmental Biology, University of Illinois at Urbana-Champaign, Urbana, IL,USA
| | - Supriya G Prasanth
- Department of Cell and Developmental Biology, University of Illinois at Urbana-Champaign, Urbana, IL,USA
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