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Zhou C, Wagner S, Liang FS. Induced proximity labeling and editing for epigenetic research. Cell Chem Biol 2024; 31:1118-1131. [PMID: 38866004 PMCID: PMC11193966 DOI: 10.1016/j.chembiol.2024.05.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2024] [Revised: 05/12/2024] [Accepted: 05/21/2024] [Indexed: 06/14/2024]
Abstract
Epigenetic regulation plays a pivotal role in various biological and disease processes. Two key lines of investigation have been pursued that aim to unravel endogenous epigenetic events at particular genes (probing) and artificially manipulate the epigenetic landscape (editing). The concept of induced proximity has inspired the development of powerful tools for epigenetic research. Induced proximity strategies involve bringing molecular effectors into spatial proximity with specific genomic regions to achieve the probing or manipulation of local epigenetic environments with increased proximity. In this review, we detail the development of induced proximity methods and applications in shedding light on the intricacies of epigenetic regulation.
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Affiliation(s)
- Chenwei Zhou
- Department of Chemistry, Case Western Reserve University, 2080 Adelbert Road, Cleveland, OH 44106, USA
| | - Sarah Wagner
- Department of Chemistry, Case Western Reserve University, 2080 Adelbert Road, Cleveland, OH 44106, USA
| | - Fu-Sen Liang
- Department of Chemistry, Case Western Reserve University, 2080 Adelbert Road, Cleveland, OH 44106, USA.
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Chua BH, Zaal Anuar N, Ferry L, Domrane C, Wittek A, Mukundan VT, Jha S, Butter F, Tenen DG, Defossez PA, Kappei D. E4F1 and ZNF148 are transcriptional activators of the -57A > C and wild-type TERT promoter. Genome Res 2023; 33:1893-1905. [PMID: 37918959 PMCID: PMC10760450 DOI: 10.1101/gr.277724.123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 10/23/2023] [Indexed: 11/04/2023]
Abstract
Point mutations within the TERT promoter are the most recurrent somatic noncoding mutations identified across different cancer types, including glioblastoma, melanoma, hepatocellular carcinoma, and bladder cancer. They are most abundant at -146C > T and -124C > T, and rarer at -57A > C, with the latter originally described as a familial case, but subsequently shown also to occur somatically. All three mutations create de novo E26-specific (ETS) binding sites and result in activation of the TERT gene, allowing cancer cells to achieve replicative immortality. Here, we used a systematic proteomics screen to identify transcription factors preferentially binding to the -146C > T, -124C > T, and -57A > C mutations. Although we confirmed binding of multiple ETS factors to the mutant -146C > T and -124C > T sequences, we identified E4F1 as a -57A > C-specific binder and ZNF148 as a TERT wild-type (WT) promoter binder that showed reduced interaction with the -124C > T allele. Both proteins are activating transcription factors that bind specifically to the -57A > C and WT (at position 124) TERT promoter sequence in corresponding cell lines, and up-regulate TERT transcription and telomerase activity. Our work describes new regulators of TERT gene expression with possible roles in cancer.
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Affiliation(s)
- Boon Haow Chua
- Cancer Science Institute of Singapore, National University of Singapore, 117599 Singapore
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, 117596 Singapore
| | - Nurkaiyisah Zaal Anuar
- Cancer Science Institute of Singapore, National University of Singapore, 117599 Singapore
| | - Laure Ferry
- Université Paris Cité, CNRS, Epigenetics and Cell Fate, F-75013 Paris, France
| | - Cecilia Domrane
- Université Paris Cité, CNRS, Epigenetics and Cell Fate, F-75013 Paris, France
| | - Anna Wittek
- Cancer Science Institute of Singapore, National University of Singapore, 117599 Singapore
| | - Vineeth T Mukundan
- Cancer Science Institute of Singapore, National University of Singapore, 117599 Singapore
| | - Sudhakar Jha
- Cancer Science Institute of Singapore, National University of Singapore, 117599 Singapore
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, 117596 Singapore
- NUS Center for Cancer Research, Yong Loo Lin School of Medicine, National University of Singapore, 117599 Singapore
- Department of Physiological Sciences, College of Veterinary Medicine, Oklahoma State University, Stillwater, Oklahoma 74078, USA
| | - Falk Butter
- Institute of Molecular Biology (IMB), 55128 Mainz, Germany
- Institute of Molecular Virology and Cell Biology (IMVZ), Friedrich Loeffler Institute, 17493 Greifswald, Germany
| | - Daniel G Tenen
- Cancer Science Institute of Singapore, National University of Singapore, 117599 Singapore
- Harvard Stem Cell Institute, Harvard Medical School, Boston, Massachusetts 02115, USA
| | | | - Dennis Kappei
- Cancer Science Institute of Singapore, National University of Singapore, 117599 Singapore;
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, 117596 Singapore
- NUS Center for Cancer Research, Yong Loo Lin School of Medicine, National University of Singapore, 117599 Singapore
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Wen C, Yuan Z, Zhang X, Chen H, Luo L, Li W, Li T, Ma N, Mao F, Lin D, Lin Z, Lin C, Xu T, Lü P, Lin J, Zhu F. Sea-ATI unravels novel vocabularies of plant active cistrome. Nucleic Acids Res 2023; 51:11568-11583. [PMID: 37850650 PMCID: PMC10681729 DOI: 10.1093/nar/gkad853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Revised: 08/11/2023] [Accepted: 09/25/2023] [Indexed: 10/19/2023] Open
Abstract
The cistrome consists of all cis-acting regulatory elements recognized by transcription factors (TFs). However, only a portion of the cistrome is active for TF binding in a specific tissue. Resolving the active cistrome in plants remains challenging. In this study, we report the assay sequential extraction assisted-active TF identification (sea-ATI), a low-input method that profiles the DNA sequences recognized by TFs in a target tissue. We applied sea-ATI to seven plant tissues to survey their active cistrome and generated 41 motif models, including 15 new models that represent previously unidentified cis-regulatory vocabularies. ATAC-seq and RNA-seq analyses confirmed the functionality of the cis-elements from the new models, in that they are actively bound in vivo, located near the transcription start site, and influence chromatin accessibility and transcription. Furthermore, comparing dimeric WRKY CREs between sea-ATI and DAP-seq libraries revealed that thermodynamics and genetic drifts cooperatively shaped their evolution. Notably, sea-ATI can identify not only positive but also negative regulatory cis-elements, thereby providing unique insights into the functional non-coding genome of plants.
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Affiliation(s)
- Chenjin Wen
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - Zhen Yuan
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - Xiaotian Zhang
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - 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, Fujian, China
| | - 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, Fujian, China
| | - Wanying Li
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - 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, Fujian, China
| | - 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, Fujian, China
| | - 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, Fujian, China
| | - Dongmei Lin
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - Zhanxi Lin
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - Chentao Lin
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - Tongda Xu
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - Peitao Lü
- College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - Juncheng Lin
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - 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, Fujian, China
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Fabo T, Khavari P. Functional characterization of human genomic variation linked to polygenic diseases. Trends Genet 2023; 39:462-490. [PMID: 36997428 PMCID: PMC11025698 DOI: 10.1016/j.tig.2023.02.014] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 02/22/2023] [Accepted: 02/23/2023] [Indexed: 03/30/2023]
Abstract
The burden of human disease lies predominantly in polygenic diseases. Since the early 2000s, genome-wide association studies (GWAS) have identified genetic variants and loci associated with complex traits. These have ranged from variants in coding sequences to mutations in regulatory regions, such as promoters and enhancers, as well as mutations affecting mediators of mRNA stability and other downstream regulators, such as 5' and 3'-untranslated regions (UTRs), long noncoding RNA (lncRNA), and miRNA. Recent research advances in genetics have utilized a combination of computational techniques, high-throughput in vitro and in vivo screening modalities, and precise genome editing to impute the function of diverse classes of genetic variants identified through GWAS. In this review, we highlight the vastness of genomic variants associated with polygenic disease risk and address recent advances in how genetic tools can be used to functionally characterize them.
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Affiliation(s)
- Tania Fabo
- Program in Epithelial Biology, Stanford University, Stanford, CA, USA; Stanford Cancer Institute, Stanford University, Stanford, CA, USA; Graduate Program in Genetics, Stanford University, Stanford, CA, USA; Stanford University School of Medicine, Stanford University, Stanford, CA, USA
| | - Paul Khavari
- Program in Epithelial Biology, Stanford University, Stanford, CA, USA; Stanford Cancer Institute, Stanford University, Stanford, CA, USA; Graduate Program in Genetics, Stanford University, Stanford, CA, USA; Stanford University School of Medicine, Stanford University, Stanford, CA, USA; Veterans Affairs Palo Alto Healthcare System, Palo Alto, CA, USA.
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Guo AD, Yan KN, Hu H, Zhai L, Hu TF, Su H, Chi Y, Zha J, Xu Y, Zhao D, Lu X, Xu YJ, Zhang J, Tan M, Chen XH. Spatiotemporal and global profiling of DNA-protein interactions enables discovery of low-affinity transcription factors. Nat Chem 2023:10.1038/s41557-023-01196-z. [PMID: 37106095 DOI: 10.1038/s41557-023-01196-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 03/30/2023] [Indexed: 04/29/2023]
Abstract
Precise dissection of DNA-protein interactions is essential for elucidating the recognition basis, dynamics and gene regulation mechanism. However, global profiling of weak and dynamic DNA-protein interactions remains a long-standing challenge. Here, we establish the light-induced lysine (K) enabled crosslinking (LIKE-XL) strategy for spatiotemporal and global profiling of DNA-protein interactions. Harnessing unique abilities to capture weak and transient DNA-protein interactions, we demonstrate that LIKE-XL enables the discovery of low-affinity transcription-factor/DNA interactions via sequence-specific DNA baits, determining the binding sites for transcription factors that have been previously unknown. More importantly, we successfully decipher the dynamics of the transcription factor subproteome in response to drug treatment in a time-resolved manner, and find downstream target transcription factors from drug perturbations, providing insight into their dynamic transcriptional networks. The LIKE-XL strategy offers a complementary method to expand the DNA-protein profiling toolbox and map accurate DNA-protein interactomes that were previously inaccessible via non-covalent strategies, for better understanding of protein function in health and disease.
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Affiliation(s)
- An-Di Guo
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Ke-Nian Yan
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Hao Hu
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Linhui Zhai
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Teng-Fei Hu
- School of Chinese Materia Medica, Nanjing University of Chinese Medicine, Nanjing, China
| | - Haixia Su
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Yijia Chi
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Jinyin Zha
- State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yechun Xu
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Dongxin Zhao
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xiaojie Lu
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Yong-Jiang Xu
- School of Food Science and Technology, Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, Wuxi, China
| | - Jian Zhang
- State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Minjia Tan
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China.
- University of Chinese Academy of Sciences, Beijing, China.
- Zhongshan Institute for Drug Discovery, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Zhongshan, China.
- College of Pharmacy, Jiangsu Ocean University, Lianyungang, China.
| | - Xiao-Hua Chen
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China.
- University of Chinese Academy of Sciences, Beijing, China.
- School of Chinese Materia Medica, Nanjing University of Chinese Medicine, Nanjing, China.
- School of Pharmaceutical Science and Technology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, China.
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Characterizing crosstalk in epigenetic signaling to understand disease physiology. Biochem J 2023; 480:57-85. [PMID: 36630129 PMCID: PMC10152800 DOI: 10.1042/bcj20220550] [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: 11/07/2022] [Revised: 12/22/2022] [Accepted: 01/03/2023] [Indexed: 01/12/2023]
Abstract
Epigenetics, the inheritance of genomic information independent of DNA sequence, controls the interpretation of extracellular and intracellular signals in cell homeostasis, proliferation and differentiation. On the chromatin level, signal transduction leads to changes in epigenetic marks, such as histone post-translational modifications (PTMs), DNA methylation and chromatin accessibility to regulate gene expression. Crosstalk between different epigenetic mechanisms, such as that between histone PTMs and DNA methylation, leads to an intricate network of chromatin-binding proteins where pre-existing epigenetic marks promote or inhibit the writing of new marks. The recent technical advances in mass spectrometry (MS) -based proteomic methods and in genome-wide DNA sequencing approaches have broadened our understanding of epigenetic networks greatly. However, further development and wider application of these methods is vital in developing treatments for disorders and pathologies that are driven by epigenetic dysregulation.
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