1
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Bernardini A, Mantovani R. Q-rich activation domains: flexible 'rulers' for transcription start site selection? Trends Genet 2024:S0168-9525(24)00272-5. [PMID: 39648061 DOI: 10.1016/j.tig.2024.11.008] [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: 09/16/2024] [Revised: 10/31/2024] [Accepted: 11/14/2024] [Indexed: 12/10/2024]
Abstract
Recent findings broadened the function of RNA polymerase II (Pol II) proximal promoter motifs from quantitative regulators of transcription to important determinants of transcription start site (TSS) position. These motifs are recognized by transcription factors (TFs) that we propose to term 'ruler' TFs (rTFs), such as NRF1, NF-Y, YY1, ZNF143, BANP, and members of the SP, ETS, and CRE families, sharing as a common feature a glutamine-rich (Q-rich) effector domain also enriched in valine, isoleucine, and threonine (QVIT-rich). We propose that rTFs guide TSS location by constraining the position of the pre-initiation complex (PIC) during its promoter recognition phase through a specialized, and still enigmatic, class of activation domains.
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Affiliation(s)
- Andrea Bernardini
- Dipartimento di Bioscienze, Università degli Studi di Milano, Via Celoria 26, 20133, Milano, Italy.
| | - Roberto Mantovani
- Dipartimento di Bioscienze, Università degli Studi di Milano, Via Celoria 26, 20133, Milano, Italy.
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2
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Zhang X, Blumenthal R, Cheng X. DNA-binding proteins from MBD through ZF to BEN: recognition of cytosine methylation status by one arginine with two conformations. Nucleic Acids Res 2024; 52:11442-11454. [PMID: 39329271 PMCID: PMC11514455 DOI: 10.1093/nar/gkae832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2024] [Revised: 08/17/2024] [Accepted: 09/11/2024] [Indexed: 09/28/2024] Open
Abstract
Maintenance methylation, of palindromic CpG dinucleotides at DNA replication forks, is crucial for the faithful mitotic inheritance of genomic 5-methylcytosine (5mC) methylation patterns. MBD proteins use two arginine residues to recognize symmetrically-positioned methyl groups in fully-methylated 5mCpG/5mCpG and 5mCpA/TpG dinucleotides. In contrast, C2H2 zinc finger (ZF) proteins recognize CpG and CpA, whether methylated or not, within longer specific sequences in a site- and strand-specific manner. Unmethylated CpG sites, often within CpG island (CGI) promoters, need protection by protein factors to maintain their hypomethylated status. Members of the BEN domain proteins bind CGCG or CACG elements within CGIs to regulate gene expression. Despite their overall structural diversity, MBD, ZF and BEN proteins all use arginine residues to recognize guanine, adopting either a 'straight-on' or 'oblique' conformation. The straight-on conformation accommodates a methyl group in the (5mC/T)pG dinucleotide, while the oblique conformation can clash with the methyl group of 5mC, leading to preferential binding of unmethylated sequences.
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Affiliation(s)
- Xing Zhang
- Department of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Robert M Blumenthal
- Department of Medical Microbiology and Immunology, and Program in Bioinformatics, The University of Toledo College of Medicine and Life Sciences, Toledo, OH 43614, USA
| | - Xiaodong Cheng
- Department of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
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3
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Ren J, Wang J, Ren Y, Zhang Y, Wei P, Wang M, Zhang Y, Li M, Yuan C, Gong H, Jiang J, Wang Z. Structural basis of DNA recognition by BEN domain proteins reveals a role for oligomerization in unmethylated DNA selection by BANP. Nucleic Acids Res 2024; 52:11349-11361. [PMID: 39225042 PMCID: PMC11472053 DOI: 10.1093/nar/gkae762] [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: 05/03/2024] [Revised: 08/17/2024] [Accepted: 08/21/2024] [Indexed: 09/04/2024] Open
Abstract
The BEN domain is a newly discovered type of DNA-binding domain that exists in a variety of species. There are nine BEN domain-containing proteins in humans, and most have been shown to have chromatin-related functions. NACC1 preferentially binds to CATG motif-containing sequences and functions primarily as a transcriptional coregulator. BANP and BEND3 preferentially bind DNA bearing unmethylated CpG motifs, and they function as CpG island-binding proteins. To date, the DNA recognition mechanism of quite a few of these proteins remains to be determined. In this study, we solved the crystal structures of the BEN domains of NACC1 and BANP in complex with their cognate DNA substrates. We revealed the details of DNA binding by these BEN domain proteins and unexpectedly revealed that oligomerization is required for BANP to select unmethylated CGCG motif-containing DNA substrates. Our study clarifies the controversies surrounding DNA recognition by BANP and demonstrates a new mechanism by which BANP selects unmethylated CpG motifs and functions as a CpG island-binding protein. This understanding will facilitate further exploration of the physiological functions of the BEN domain proteins in the future.
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Affiliation(s)
- Jiahao Ren
- Key Laboratory of Cell Proliferation and Regulation Biology of Ministry of Education, College of Life Sciences, Beijing Normal University, 19 Xinjiekouwai Avenue, Beijing 100875, China
| | - Junmeng Wang
- Key Laboratory of Cell Proliferation and Regulation Biology of Ministry of Education, College of Life Sciences, Beijing Normal University, 19 Xinjiekouwai Avenue, Beijing 100875, China
| | - Yanpeng Ren
- Key Laboratory of Cell Proliferation and Regulation Biology of Ministry of Education, College of Life Sciences, Beijing Normal University, 19 Xinjiekouwai Avenue, Beijing 100875, China
| | - Yuyang Zhang
- MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, 30 Shuangqing Road, Beijing 100084, China
- Beijing Frontier Research Center for Biological Structure, Tsinghua University, 30 Shuangqing Road, Beijing 100084, China
| | - Pengshuai Wei
- Key Laboratory of Cell Proliferation and Regulation Biology of Ministry of Education, College of Life Sciences, Beijing Normal University, 19 Xinjiekouwai Avenue, Beijing 100875, China
| | - Meng Wang
- Key Laboratory of Cell Proliferation and Regulation Biology of Ministry of Education, College of Life Sciences, Beijing Normal University, 19 Xinjiekouwai Avenue, Beijing 100875, China
| | - Yimeng Zhang
- Key Laboratory of Cell Proliferation and Regulation Biology of Ministry of Education, College of Life Sciences, Beijing Normal University, 19 Xinjiekouwai Avenue, Beijing 100875, China
| | - Meng Li
- Key Laboratory of Cell Proliferation and Regulation Biology of Ministry of Education, College of Life Sciences, Beijing Normal University, 19 Xinjiekouwai Avenue, Beijing 100875, China
| | - Chuyan Yuan
- Key Laboratory of Cell Proliferation and Regulation Biology of Ministry of Education, College of Life Sciences, Beijing Normal University, 19 Xinjiekouwai Avenue, Beijing 100875, China
| | - Haipeng Gong
- MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, 30 Shuangqing Road, Beijing 100084, China
- Beijing Frontier Research Center for Biological Structure, Tsinghua University, 30 Shuangqing Road, Beijing 100084, China
| | - Junyi Jiang
- Key Laboratory of Cell Proliferation and Regulation Biology of Ministry of Education, College of Life Sciences, Beijing Normal University, 19 Xinjiekouwai Avenue, Beijing 100875, China
| | - Zhanxin Wang
- Key Laboratory of Cell Proliferation and Regulation Biology of Ministry of Education, College of Life Sciences, Beijing Normal University, 19 Xinjiekouwai Avenue, Beijing 100875, China
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4
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Uebbing S, Kocher AA, Baumgartner M, Ji Y, Bai S, Xing X, Nottoli T, Noonan JP. Evolutionary Innovations in Conserved Regulatory Elements Associate With Developmental Genes in Mammals. Mol Biol Evol 2024; 41:msae199. [PMID: 39302728 PMCID: PMC11465374 DOI: 10.1093/molbev/msae199] [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: 04/09/2024] [Revised: 08/26/2024] [Accepted: 09/17/2024] [Indexed: 09/22/2024] Open
Abstract
Transcriptional enhancers orchestrate cell type- and time point-specific gene expression programs. Genetic variation within enhancer sequences is an important contributor to phenotypic variation including evolutionary adaptations and human disease. Certain genes and pathways may be more prone to regulatory evolution than others, with different patterns across diverse organisms, but whether such patterns exist has not been investigated at a sufficient scale. To address this question, we identified signatures of accelerated sequence evolution in conserved enhancer elements throughout the mammalian phylogeny at an unprecedented scale. While different genes and pathways were enriched for regulatory evolution in different parts of the tree, we found a striking overall pattern of pleiotropic genes involved in gene regulatory and developmental processes being enriched for accelerated enhancer evolution. These genes were connected to more enhancers than other genes, which was the basis for having an increased amount of sequence acceleration over all their enhancers combined. We provide evidence that sequence acceleration is associated with turnover of regulatory function. Detailed study of one acceleration event in an enhancer of HES1 revealed that sequence evolution led to a new activity domain in the developing limb that emerged concurrently with the evolution of digit reduction in hoofed mammals. Our results provide evidence that enhancer evolution has been a frequent contributor to regulatory innovation at conserved developmental signaling genes in mammals.
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Affiliation(s)
- Severin Uebbing
- Department of Genetics, Yale School of Medicine, New Haven, CT, USA
- Department of Biology, Genome Biology and Epigenetics, Institute of Biodynamics and Biocomplexity, Utrecht University, Utrecht, The Netherlands
| | - Acadia A Kocher
- Department of Genetics, Yale School of Medicine, New Haven, CT, USA
| | | | - Yu Ji
- Department of Genetics, Yale School of Medicine, New Haven, CT, USA
| | - Suxia Bai
- Yale Genome Editing Center, Yale School of Medicine, New Haven, CT, USA
| | - Xiaojun Xing
- Yale Genome Editing Center, Yale School of Medicine, New Haven, CT, USA
| | - Timothy Nottoli
- Yale Genome Editing Center, Yale School of Medicine, New Haven, CT, USA
| | - James P Noonan
- Department of Genetics, Yale School of Medicine, New Haven, CT, USA
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA
- Wu Tsai Institute, Yale University, New Haven, CT, USA
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5
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Gerbaldo FE, Sonder E, Fischer V, Frei S, Wang J, Gapp K, Robinson MD, Germain PL. On the identification of differentially-active transcription factors from ATAC-seq data. PLoS Comput Biol 2024; 20:e1011971. [PMID: 39441876 PMCID: PMC11534267 DOI: 10.1371/journal.pcbi.1011971] [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: 03/06/2024] [Revised: 11/04/2024] [Accepted: 09/23/2024] [Indexed: 10/25/2024] Open
Abstract
ATAC-seq has emerged as a rich epigenome profiling technique, and is commonly used to identify Transcription Factors (TFs) underlying given phenomena. A number of methods can be used to identify differentially-active TFs through the accessibility of their DNA-binding motif, however little is known on the best approaches for doing so. Here we benchmark several such methods using a combination of curated datasets with various forms of short-term perturbations on known TFs, as well as semi-simulations. We include both methods specifically designed for this type of data as well as some that can be repurposed for it. We also investigate variations to these methods, and identify three particularly promising approaches (a chromVAR-limma workflow with critical adjustments, monaLisa and a combination of GC smooth quantile normalization and multivariate modeling). We further investigate the specific use of nucleosome-free fragments, the combination of top methods, and the impact of technical variation. Finally, we illustrate the use of the top methods on a novel dataset to characterize the impact on DNA accessibility of TRAnscription Factor TArgeting Chimeras (TRAFTAC), which can deplete TFs-in our case NFkB-at the protein level.
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Affiliation(s)
| | - Emanuel Sonder
- Computational Neurogenomics, D-HEST Institute for Neurosciences, Zürich, Switzerland
- Systems Neuroscience, D-HEST Institute for Neurosciences, Zürich, Switzerland
- Department of Molecular Life Sciences, University of Zürich, Zürich, Switzerland
- SIB Swiss Institute of Bioinformatics, University of Zurich, Switzerland
| | - Vincent Fischer
- Epigenetics and Neuroendocrinology, D-HEST Institute for Neurosciences, Zürich, Switzerland
| | - Selina Frei
- Epigenetics and Neuroendocrinology, D-HEST Institute for Neurosciences, Zürich, Switzerland
| | - Jiayi Wang
- Department of Molecular Life Sciences, University of Zürich, Zürich, Switzerland
| | - Katharina Gapp
- Epigenetics and Neuroendocrinology, D-HEST Institute for Neurosciences, Zürich, Switzerland
| | - Mark D. Robinson
- Department of Molecular Life Sciences, University of Zürich, Zürich, Switzerland
- SIB Swiss Institute of Bioinformatics, University of Zurich, Switzerland
| | - Pierre-Luc Germain
- Computational Neurogenomics, D-HEST Institute for Neurosciences, Zürich, Switzerland
- Department of Molecular Life Sciences, University of Zürich, Zürich, Switzerland
- SIB Swiss Institute of Bioinformatics, University of Zurich, Switzerland
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6
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Grand RS, Pregnolato M, Baumgartner L, Hoerner L, Burger L, Schübeler D. Genome access is transcription factor-specific and defined by nucleosome position. Mol Cell 2024; 84:3455-3468.e6. [PMID: 39208807 PMCID: PMC11420395 DOI: 10.1016/j.molcel.2024.08.009] [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: 07/28/2023] [Revised: 06/14/2024] [Accepted: 08/06/2024] [Indexed: 09/04/2024]
Abstract
Mammalian gene expression is controlled by transcription factors (TFs) that engage sequence motifs in a chromatinized genome, where nucleosomes can restrict DNA access. Yet, how nucleosomes affect individual TFs remains unclear. Here, we measure the ability of over one hundred TF motifs to recruit TFs in a defined chromosomal locus in mouse embryonic stem cells. This identifies a set sufficient to enable the binding of TFs with diverse tissue specificities, functions, and DNA-binding domains. These chromatin-competent factors are further classified when challenged to engage motifs within a highly phased nucleosome. The pluripotency factors OCT4-SOX2 preferentially engage non-nucleosomal and entry-exit motifs, but not nucleosome-internal sites, a preference that also guides binding genome wide. By contrast, factors such as BANP, REST, or CTCF engage throughout, causing nucleosomal displacement. This supports that TFs vary widely in their sensitivity to nucleosomes and that genome access is TF specific and influenced by nucleosome position in the cell.
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Affiliation(s)
- Ralph Stefan Grand
- Friedrich Miescher Institute for Biomedical Research, 4058 Basel, Switzerland; Zentrum für Molekulare Biologie der Universität Heidelberg (ZMBH), DKFZ-ZMBH Alliance, 69120 Heidelberg, Germany
| | - Marco Pregnolato
- Friedrich Miescher Institute for Biomedical Research, 4058 Basel, Switzerland; Faculty of Sciences, University of Basel, 4003 Basel, Switzerland
| | - Lisa Baumgartner
- Friedrich Miescher Institute for Biomedical Research, 4058 Basel, Switzerland
| | - Leslie Hoerner
- Friedrich Miescher Institute for Biomedical Research, 4058 Basel, Switzerland
| | - Lukas Burger
- Friedrich Miescher Institute for Biomedical Research, 4058 Basel, Switzerland; Swiss Institute of Bioinformatics, 4058 Basel, Switzerland
| | - Dirk Schübeler
- Friedrich Miescher Institute for Biomedical Research, 4058 Basel, Switzerland; Faculty of Sciences, University of Basel, 4003 Basel, Switzerland.
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7
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Kitazawa R, Haraguchi R, Murata Y, Takaoka Y, Kitazawa S. CpG Methylation of Receptor Activator NF-κB (RANK) Gene Promoter Region Delineates Senescence-Related Decrease of RANK Gene Expression. Acta Histochem Cytochem 2024; 57:137-147. [PMID: 39228907 PMCID: PMC11367149 DOI: 10.1267/ahc.24-00034] [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: 06/02/2024] [Accepted: 07/26/2024] [Indexed: 09/05/2024] Open
Abstract
While the rapid decrease in estrogen is well known as the main cause of postmenopausal osteoporosis in women, the precise pathogenesis of senile osteoporosis in the elderly regardless of gender is largely unknown. The age-related epigenetic regulation of receptor activator NF-κB (RANK) gene expression was investigated with the use of a high-passaged mouse osteoclast progenitor cell line, RAW264.7, as an in vitro model of aging. In the RAW264.7 cells after repeated passages, receptor RANK expression was downregulated, resulting in decreased soluble RANK ligand (sRANKL)-induced osteoclastogenesis, expression of tartrate-resistant acid phosphatase-5b (TRAcP) and cathepsin K (CTSK). Methylation-specific PCR and bisulfite mapping revealed hypermethylation of CpG-loci located in the RANK gene promoter in multiple-passaged cells. ICON probe-mediated in situ assessment of methylated-cytosine at the CpG loci revealed an increase in the percentage of methylated RAW264.7 cells in the RANK gene in a passage-dependent manner. Conversely, upon treatment with demethylating agent 5-aza-2-deoxycytidine (5-aza-dC), high-passaged RAW264.7 cells displayed restored expression of the RANK gene, osteoclastogenesis, TRAcP and CTSK. Ex vivo cultures of splenic macrophages from young (10.5 W) and aged (12 M) mice also showed that CpG methylation was predominant in the aged animals, resulting in reduced RANK expression and osteoclastogenesis. Reduced RANK expression by age-related accumulation of DNA methylation, albeit in a limited population of osteoclast precursor cells, might be, at least in part, indicative of low-turnover bone characteristic of senile osteoporosis.
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Affiliation(s)
- Riko Kitazawa
- Department of Molecular Pathology, Ehime University Graduate School of Medicine, Toon, Ehime, Japan
- Division of Diagnostic Pathology, Ehime University Hospital, Toon, Ehime, Japan
| | - Ryuma Haraguchi
- Department of Molecular Pathology, Ehime University Graduate School of Medicine, Toon, Ehime, Japan
| | - Yuki Murata
- Department of Molecular Pathology, Ehime University Graduate School of Medicine, Toon, Ehime, Japan
| | - Yuki Takaoka
- Department of Molecular Pathology, Ehime University Graduate School of Medicine, Toon, Ehime, Japan
| | - Sohei Kitazawa
- Department of Molecular Pathology, Ehime University Graduate School of Medicine, Toon, Ehime, Japan
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8
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Gerbaldo FE, Sonder E, Fischer V, Frei S, Wang J, Gapp K, Robinson MD, Germain PL. On the identification of differentially-active transcription factors from ATAC-seq data. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.06.583825. [PMID: 38496482 PMCID: PMC10942475 DOI: 10.1101/2024.03.06.583825] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
ATAC-seq has emerged as a rich epigenome profiling technique, and is commonly used to identify Transcription Factors (TFs) underlying given phenomena. A number of methods can be used to identify differentially-active TFs through the accessibility of their DNA-binding motif, however little is known on the best approaches for doing so. Here we benchmark several such methods using a combination of curated datasets with various forms of short-term perturbations on known TFs, as well as semi-simulations. We include both methods specifically designed for this type of data as well as some that can be repurposed for it. We also investigate variations to these methods, and identify three particularly promising approaches (a chromVAR-limma workflow with critical adjustments, monaLisa and a combination of GC smooth quantile normalization and multivariate modeling). We further investigate the specific use of nucleosome-free fragments, the combination of top methods, and the impact of technical variation. Finally, we illustrate the use of the top methods on a novel dataset to characterize the impact on DNA accessibility of TRAnscription Factor TArgeting Chimeras (TRAFTAC), which can deplete TFs - in our case NFkB - at the protein level.
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Affiliation(s)
| | - Emanuel Sonder
- Computational Neurogenomics, D-HEST Institute for Neurosciences, Zürich, Switzerland
- Systems Neuroscience, D-HEST Institute for Neurosciences, Zürich, Switzerland
- Department of Molecular Life Sciences, University of Zürich, Zürich, Switzerland
- SIB Swiss Institute of Bioinformatics, University of Zurich, Switzerland
| | - Vincent Fischer
- Epigenetics and Neuroendocrinology, D-HEST Institute for Neurosciences, Zürich, Switzerland
| | - Selina Frei
- Epigenetics and Neuroendocrinology, D-HEST Institute for Neurosciences, Zürich, Switzerland
| | - Jiayi Wang
- Department of Molecular Life Sciences, University of Zürich, Zürich, Switzerland
| | - Katharina Gapp
- Epigenetics and Neuroendocrinology, D-HEST Institute for Neurosciences, Zürich, Switzerland
| | - Mark D. Robinson
- Department of Molecular Life Sciences, University of Zürich, Zürich, Switzerland
- SIB Swiss Institute of Bioinformatics, University of Zurich, Switzerland
| | - Pierre-Luc Germain
- Computational Neurogenomics, D-HEST Institute for Neurosciences, Zürich, Switzerland
- Department of Molecular Life Sciences, University of Zürich, Zürich, Switzerland
- SIB Swiss Institute of Bioinformatics, University of Zurich, Switzerland
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9
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Schwaiger M, Mohn F, Bühler M, Kaaij LJT. guidedNOMe-seq quantifies chromatin states at single allele resolution for hundreds of custom regions in parallel. BMC Genomics 2024; 25:732. [PMID: 39075377 PMCID: PMC11288131 DOI: 10.1186/s12864-024-10625-3] [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: 06/13/2024] [Accepted: 07/15/2024] [Indexed: 07/31/2024] Open
Abstract
Since the introduction of next generation sequencing technologies, the field of epigenomics has evolved rapidly. However, most commonly used assays are enrichment-based methods and thus only semi-quantitative. Nucleosome occupancy and methylome sequencing (NOMe-seq) allows for quantitative inference of chromatin states with single locus resolution, but this requires high sequencing depth and is therefore prohibitively expensive to routinely apply to organisms with large genomes. To overcome this limitation, we introduce guidedNOMe-seq, where we combine NOMe profiling with large scale sgRNA synthesis and Cas9-mediated region-of-interest (ROI) liberation. To facilitate quantitative comparisons between multiple samples, we additionally develop an R package to standardize differential analysis of any type of NOMe-seq data. We extensively benchmark guidedNOMe-seq in a proof-of-concept study, dissecting the interplay of ChAHP and CTCF on chromatin. In summary we present a cost-effective, scalable, and customizable target enrichment extension to the existing NOMe-seq protocol allowing genome-scale quantification of nucleosome occupancy and transcription factor binding at single allele resolution.
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Affiliation(s)
- Michaela Schwaiger
- Friedrich Miescher Institute for Biomedical Research, Basel, 4056, Switzerland
- Swiss Institute of Bioinformatics, Basel, 4056, Switzerland
| | - Fabio Mohn
- Friedrich Miescher Institute for Biomedical Research, Basel, 4056, Switzerland
| | - Marc Bühler
- Friedrich Miescher Institute for Biomedical Research, Basel, 4056, Switzerland
- University of Basel, Basel, 4003, Switzerland
| | - Lucas J T Kaaij
- Center for Molecular Medicine, University Medical Center Utrecht, Utrecht, 3584 CG, The Netherlands.
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10
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Stelloo S, Alejo-Vinogradova MT, van Gelder CAGH, Zijlmans DW, van Oostrom MJ, Valverde JM, Lamers LA, Rus T, Sobrevals Alcaraz P, Schäfers T, Furlan C, Jansen PWTC, Baltissen MPA, Sonnen KF, Burgering B, Altelaar MAFM, Vos HR, Vermeulen M. Deciphering lineage specification during early embryogenesis in mouse gastruloids using multilayered proteomics. Cell Stem Cell 2024; 31:1072-1090.e8. [PMID: 38754429 DOI: 10.1016/j.stem.2024.04.017] [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: 04/24/2023] [Revised: 01/10/2024] [Accepted: 04/19/2024] [Indexed: 05/18/2024]
Abstract
Gastrulation is a critical stage in embryonic development during which the germ layers are established. Advances in sequencing technologies led to the identification of gene regulatory programs that control the emergence of the germ layers and their derivatives. However, proteome-based studies of early mammalian development are scarce. To overcome this, we utilized gastruloids and a multilayered mass spectrometry-based proteomics approach to investigate the global dynamics of (phospho) protein expression during gastruloid differentiation. Our findings revealed many proteins with temporal expression and unique expression profiles for each germ layer, which we also validated using single-cell proteomics technology. Additionally, we profiled enhancer interaction landscapes using P300 proximity labeling, which revealed numerous gastruloid-specific transcription factors and chromatin remodelers. Subsequent degron-based perturbations combined with single-cell RNA sequencing (scRNA-seq) identified a critical role for ZEB2 in mouse and human somitogenesis. Overall, this study provides a rich resource for developmental and synthetic biology communities endeavoring to understand mammalian embryogenesis.
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Affiliation(s)
- Suzan Stelloo
- Department of Molecular Biology, Faculty of Science, Radboud Institute for Molecular Life Sciences, Oncode Institute, Radboud University Nijmegen, 6525 GA Nijmegen, the Netherlands.
| | - Maria Teresa Alejo-Vinogradova
- Department of Molecular Biology, Faculty of Science, Radboud Institute for Molecular Life Sciences, Oncode Institute, Radboud University Nijmegen, 6525 GA Nijmegen, the Netherlands
| | - Charlotte A G H van Gelder
- Molecular Cancer Research, Center for Molecular Medicine, Oncode Institute, University Medical Center Utrecht, Utrecht University, 3584 CG Utrecht, the Netherlands
| | - Dick W Zijlmans
- Department of Molecular Biology, Faculty of Science, Radboud Institute for Molecular Life Sciences, Oncode Institute, Radboud University Nijmegen, 6525 GA Nijmegen, the Netherlands
| | - Marek J van Oostrom
- Hubrecht Institute, KNAW (Royal Netherlands Academy of Arts and Sciences), University Medical Center Utrecht, 3584 CT Utrecht, the Netherlands
| | - Juan Manuel Valverde
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, 3584 CA Utrecht, the Netherlands; Netherlands Proteomics Center, 3584 CH Utrecht, the Netherlands
| | - Lieke A Lamers
- Department of Molecular Biology, Faculty of Science, Radboud Institute for Molecular Life Sciences, Oncode Institute, Radboud University Nijmegen, 6525 GA Nijmegen, the Netherlands
| | - Teja Rus
- Department of Molecular Biology, Faculty of Science, Radboud Institute for Molecular Life Sciences, Oncode Institute, Radboud University Nijmegen, 6525 GA Nijmegen, the Netherlands
| | - Paula Sobrevals Alcaraz
- Molecular Cancer Research, Center for Molecular Medicine, Oncode Institute, University Medical Center Utrecht, Utrecht University, 3584 CG Utrecht, the Netherlands
| | - Tilman Schäfers
- Department of Molecular Developmental Biology, Faculty of Science, Radboud Institute for Molecular Life Sciences, Radboud University Nijmegen, 6525 GA Nijmegen, the Netherlands
| | - Cristina Furlan
- Laboratory of Systems and Synthetic Biology, Wageningen University & Research, 6708 WE Wageningen, 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
| | - Marijke P A Baltissen
- Department of Molecular Biology, Faculty of Science, Radboud Institute for Molecular Life Sciences, Oncode Institute, Radboud University Nijmegen, 6525 GA Nijmegen, the Netherlands
| | - Katharina F Sonnen
- Hubrecht Institute, KNAW (Royal Netherlands Academy of Arts and Sciences), University Medical Center Utrecht, 3584 CT Utrecht, the Netherlands
| | - Boudewijn Burgering
- Molecular Cancer Research, Center for Molecular Medicine, Oncode Institute, University Medical Center Utrecht, Utrecht University, 3584 CG Utrecht, the Netherlands
| | - Maarten A F M Altelaar
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, 3584 CA Utrecht, the Netherlands; Netherlands Proteomics Center, 3584 CH Utrecht, the Netherlands
| | - Harmjan R Vos
- Molecular Cancer Research, Center for Molecular Medicine, Oncode Institute, University Medical Center Utrecht, Utrecht University, 3584 CG Utrecht, 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, Netherlands Cancer Institute, 1066 CX Amsterdam, the Netherlands.
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11
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Duttke SH, Guzman C, Chang M, Delos Santos NP, McDonald BR, Xie J, Carlin AF, Heinz S, Benner C. Position-dependent function of human sequence-specific transcription factors. Nature 2024; 631:891-898. [PMID: 39020164 PMCID: PMC11269187 DOI: 10.1038/s41586-024-07662-z] [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: 03/29/2022] [Accepted: 06/04/2024] [Indexed: 07/19/2024]
Abstract
Patterns of transcriptional activity are encoded in our genome through regulatory elements such as promoters or enhancers that, paradoxically, contain similar assortments of sequence-specific transcription factor (TF) binding sites1-3. Knowledge of how these sequence motifs encode multiple, often overlapping, gene expression programs is central to understanding gene regulation and how mutations in non-coding DNA manifest in disease4,5. Here, by studying gene regulation from the perspective of individual transcription start sites (TSSs), using natural genetic variation, perturbation of endogenous TF protein levels and massively parallel analysis of natural and synthetic regulatory elements, we show that the effect of TF binding on transcription initiation is position dependent. Analysing TF-binding-site occurrences relative to the TSS, we identified several motifs with highly preferential positioning. We show that these patterns are a combination of a TF's distinct functional profiles-many TFs, including canonical activators such as NRF1, NFY and Sp1, activate or repress transcription initiation depending on their precise position relative to the TSS. As such, TFs and their spacing collectively guide the site and frequency of transcription initiation. More broadly, these findings reveal how similar assortments of TF binding sites can generate distinct gene regulatory outcomes depending on their spatial configuration and how DNA sequence polymorphisms may contribute to transcription variation and disease and underscore a critical role for TSS data in decoding the regulatory information of our genome.
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Affiliation(s)
- Sascha H Duttke
- School of Molecular Biosciences, College of Veterinary Medicine, Washington State University, Pullman, WA, USA.
| | - Carlos Guzman
- Department of Medicine, Division of Endocrinology, U.C. San Diego School of Medicine, La Jolla, CA, USA
| | - Max Chang
- Department of Medicine, Division of Endocrinology, U.C. San Diego School of Medicine, La Jolla, CA, USA
| | - Nathaniel P Delos Santos
- Department of Medicine, Division of Endocrinology, U.C. San Diego School of Medicine, La Jolla, CA, USA
| | - Bayley R McDonald
- School of Molecular Biosciences, College of Veterinary Medicine, Washington State University, Pullman, WA, USA
| | - Jialei Xie
- Department of Pathology and Medicine, U.C. San Diego School of Medicine, La Jolla, CA, USA
| | - Aaron F Carlin
- Department of Pathology and Medicine, U.C. San Diego School of Medicine, La Jolla, CA, USA
| | - Sven Heinz
- Department of Medicine, Division of Endocrinology, U.C. San Diego School of Medicine, La Jolla, CA, USA.
| | - Christopher Benner
- Department of Medicine, Division of Endocrinology, U.C. San Diego School of Medicine, La Jolla, CA, USA.
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12
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Jia F, Shi Y, Yu Y. Structural homology-based identification of BEN domain proteins in Poxviruses. Biochem Biophys Res Commun 2024; 712-713:149933. [PMID: 38640730 DOI: 10.1016/j.bbrc.2024.149933] [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: 03/26/2024] [Accepted: 04/10/2024] [Indexed: 04/21/2024]
Abstract
BEND family transcription factors directly interact with DNA through BEN domains and have been found across metazoan species. Interestingly, certain insect and mammalian viruses have also hijacked Bend genes into their genome. However, the phylogenetic classification and evolution of these viral BEN domains remain unclear. Building on our previous finding that in silico method accurately determine the 3D model of BEN domains, we used AlphaFold2 to predict the tertiary structures of poxviral BEN domains for comprehensive homologous comparison. We revealed that the majority of poxviral BEN modules exhibit characteristics of type II BEN. Additionally, electrostatic surface potential analysis found various poxviral BEN domains, including the first BEN of OPG067 in Orthopoxvirus, the third BEN of OPG067 in Yatapoxvirus and the third BEN of MC036R in MCV, have positively charged protein surfaces, indicating a structural basis for DNA loading. Notably, MC036R shares structural resemblance with human BEND3, as they both contain four BEN domains and an intrinsically disordered region. In summary, our discoveries provide deeper insights into the functional roles of BEN proteins within poxviruses.
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Affiliation(s)
- Fuchuan Jia
- State Key Laboratory of Common Mechanism Research for Major Diseases, Department of Molecular Biology and Biochemistry, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100005, China
| | - Yixing Shi
- Chinese Institute for Brain Research, Beijing, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 102206, China
| | - Yang Yu
- State Key Laboratory of Common Mechanism Research for Major Diseases, Department of Molecular Biology and Biochemistry, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100005, China.
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13
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Iurlaro M, Masoni F, Flyamer IM, Wirbelauer C, Iskar M, Burger L, Giorgetti L, Schübeler D. Systematic assessment of ISWI subunits shows that NURF creates local accessibility for CTCF. Nat Genet 2024; 56:1203-1212. [PMID: 38816647 PMCID: PMC11176080 DOI: 10.1038/s41588-024-01767-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: 07/07/2023] [Accepted: 04/23/2024] [Indexed: 06/01/2024]
Abstract
Catalytic activity of the imitation switch (ISWI) family of remodelers is critical for nucleosomal organization and DNA binding of certain transcription factors, including the insulator protein CTCF. Here we define the contribution of individual subcomplexes by deriving a panel of isogenic mouse stem cell lines, each lacking one of six ISWI accessory subunits. Individual deletions of subunits of either CERF, RSF, ACF, WICH or NoRC subcomplexes only moderately affect the chromatin landscape, while removal of the NURF-specific subunit BPTF leads to a strong reduction in chromatin accessibility and SNF2H ATPase localization around CTCF sites. This affects adjacent nucleosome occupancy and CTCF binding. At a group of sites with reduced chromatin accessibility, CTCF binding persists but cohesin occupancy is reduced, resulting in decreased insulation. These results suggest that CTCF binding can be separated from its function as an insulator in nuclear organization and identify a specific role for NURF in mediating SNF2H localization and chromatin opening at bound CTCF sites.
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Affiliation(s)
- Mario Iurlaro
- Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
- Disease Area Oncology, Novartis Biomedical Research, Basel, Switzerland
| | - Francesca Masoni
- Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
- Faculty of Science, University of Basel, Basel, Switzerland
| | - Ilya M Flyamer
- Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
| | | | - Murat Iskar
- Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
| | - Lukas Burger
- Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
- Swiss Institute of Bioinformatics, Basel, Switzerland
| | - Luca Giorgetti
- Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
| | - Dirk Schübeler
- Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland.
- Faculty of Science, University of Basel, Basel, Switzerland.
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14
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Chamrád I, Simerský R, Lenobel R, Novák O. Exploring affinity chromatography in proteomics: A comprehensive review. Anal Chim Acta 2024; 1306:342513. [PMID: 38692783 DOI: 10.1016/j.aca.2024.342513] [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: 12/12/2023] [Revised: 03/19/2024] [Accepted: 03/20/2024] [Indexed: 05/03/2024]
Abstract
Over the past decades, the proteomics field has undergone rapid growth. Progress in mass spectrometry and bioinformatics, together with separation methods, has brought many innovative approaches to the study of the molecular biology of the cell. The potential of affinity chromatography was recognized immediately after its first application in proteomics, and since that time, it has become one of the cornerstones of many proteomic protocols. Indeed, this chromatographic technique exploiting the specific binding between two molecules has been employed for numerous purposes, from selective removal of interfering (over)abundant proteins or enrichment of scarce biomarkers in complex biological samples to mapping the post-translational modifications and protein interactions with other proteins, nucleic acids or biologically active small molecules. This review presents a comprehensive survey of this versatile analytical tool in current proteomics. To navigate the reader, the haphazard space of affinity separations is classified according to the experiment's aims and the separated molecule's nature. Different types of available ligands and experimental strategies are discussed in further detail for each of the mentioned procedures.
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Affiliation(s)
- Ivo Chamrád
- Laboratory of Growth Regulators, Faculty of Science, Palacký University and Institute of Experimental Botany of the Czech Academy of Sciences, Šlechtitelů 241/27, CZ-77900, Olomouc, Holice, Czech Republic.
| | - Radim Simerský
- Department of Chemical Biology, Faculty of Science, Palacký University, Šlechtitelů 241/27, CZ-77900, Olomouc, Holice, Czech Republic
| | - René Lenobel
- Laboratory of Growth Regulators, Faculty of Science, Palacký University and Institute of Experimental Botany of the Czech Academy of Sciences, Šlechtitelů 241/27, CZ-77900, Olomouc, Holice, Czech Republic
| | - Ondřej Novák
- Laboratory of Growth Regulators, Faculty of Science, Palacký University and Institute of Experimental Botany of the Czech Academy of Sciences, Šlechtitelů 241/27, CZ-77900, Olomouc, Holice, Czech Republic
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15
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Bell CG. Epigenomic insights into common human disease pathology. Cell Mol Life Sci 2024; 81:178. [PMID: 38602535 PMCID: PMC11008083 DOI: 10.1007/s00018-024-05206-2] [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: 01/19/2024] [Revised: 03/11/2024] [Accepted: 03/13/2024] [Indexed: 04/12/2024]
Abstract
The epigenome-the chemical modifications and chromatin-related packaging of the genome-enables the same genetic template to be activated or repressed in different cellular settings. This multi-layered mechanism facilitates cell-type specific function by setting the local sequence and 3D interactive activity level. Gene transcription is further modulated through the interplay with transcription factors and co-regulators. The human body requires this epigenomic apparatus to be precisely installed throughout development and then adequately maintained during the lifespan. The causal role of the epigenome in human pathology, beyond imprinting disorders and specific tumour suppressor genes, was further brought into the spotlight by large-scale sequencing projects identifying that mutations in epigenomic machinery genes could be critical drivers in both cancer and developmental disorders. Abrogation of this cellular mechanism is providing new molecular insights into pathogenesis. However, deciphering the full breadth and implications of these epigenomic changes remains challenging. Knowledge is accruing regarding disease mechanisms and clinical biomarkers, through pathogenically relevant and surrogate tissue analyses, respectively. Advances include consortia generated cell-type specific reference epigenomes, high-throughput DNA methylome association studies, as well as insights into ageing-related diseases from biological 'clocks' constructed by machine learning algorithms. Also, 3rd-generation sequencing is beginning to disentangle the complexity of genetic and DNA modification haplotypes. Cell-free DNA methylation as a cancer biomarker has clear clinical utility and further potential to assess organ damage across many disorders. Finally, molecular understanding of disease aetiology brings with it the opportunity for exact therapeutic alteration of the epigenome through CRISPR-activation or inhibition.
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Affiliation(s)
- Christopher G Bell
- William Harvey Research Institute, Barts & The London Faculty of Medicine, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK.
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16
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Lu Y, Oliva M, Pierce BL, Liu J, Chen LS. Integrative cross-omics and cross-context analysis elucidates molecular links underlying genetic effects on complex traits. Nat Commun 2024; 15:2383. [PMID: 38493154 PMCID: PMC10944527 DOI: 10.1038/s41467-024-46675-0] [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: 10/06/2022] [Accepted: 03/06/2024] [Indexed: 03/18/2024] Open
Abstract
Genetic effects on functionally related 'omic' traits often co-occur in relevant cellular contexts, such as tissues. Motivated by the multi-tissue methylation quantitative trait loci (mQTLs) and expression QTLs (eQTLs) analysis, we propose X-ING (Cross-INtegrative Genomics) for cross-omics and cross-context integrative analysis. X-ING takes as input multiple matrices of association statistics, each obtained from different omics data types across multiple cellular contexts. It models the latent binary association status of each statistic, captures the major association patterns among omics data types and contexts, and outputs the posterior mean and probability for each input statistic. X-ING enables the integration of effects from different omics data with varying effect distributions. In the multi-tissue cis-association analysis, X-ING shows improved detection and replication of mQTLs by integrating eQTL maps. In the trans-association analysis, X-ING reveals an enrichment of trans-associations in many disease/trait-relevant tissues.
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Affiliation(s)
- Yihao Lu
- Department of Public Health Sciences, The University of Chicago, Chicago, IL, USA
| | - Meritxell Oliva
- Department of Public Health Sciences, The University of Chicago, Chicago, IL, USA
- Genomics Research Center, AbbVie, North Chicago, IL, USA
| | - Brandon L Pierce
- Department of Public Health Sciences, The University of Chicago, Chicago, IL, USA
| | - Jin Liu
- School of Data Science, The Chinese University of Hong Kong-Shenzhen, Shenzhen, China.
| | - Lin S Chen
- Department of Public Health Sciences, The University of Chicago, Chicago, IL, USA.
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17
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Uebbing S, Kocher AA, Baumgartner M, Ji Y, Bai S, Xing X, Nottoli T, Noonan JP. Evolutionary innovation in conserved regulatory elements across the mammalian tree of life. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.31.578197. [PMID: 38352419 PMCID: PMC10862883 DOI: 10.1101/2024.01.31.578197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/22/2024]
Abstract
Transcriptional enhancers orchestrate cell type- and time point-specific gene expression programs. Evolution of enhancer sequences can alter target gene expression without causing detrimental misexpression in other contexts. It has long been thought that this modularity allows evolutionary changes in enhancers to escape pleiotropic constraints, which is especially important for evolutionary constrained developmental patterning genes. However, there is still little data supporting this hypothesis. Here we identified signatures of accelerated evolution in conserved enhancer elements across the mammalian phylogeny. We found that pleiotropic genes involved in gene regulatory and developmental processes were enriched for accelerated sequence evolution within their enhancer elements. These genes were associated with an excess number of enhancers compared to other genes, and due to this they exhibit a substantial degree of sequence acceleration over all their enhancers combined. We provide evidence that sequence acceleration is associated with turnover of regulatory function. We studied one acceleration event in depth and found that its sequence evolution led to the emergence of a new enhancer activity domain that may be involved in the evolution of digit reduction in hoofed mammals. Our results provide tangible evidence that enhancer evolution has been a frequent contributor to modifications involving constrained developmental signaling genes in mammals.
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Affiliation(s)
- Severin Uebbing
- Department of Genetics, Yale School of Medicine, New Haven CT, USA
- Genome Biology and Epigenetics, Institute of Biodynamics and Biocomplexity, Department of Biology, Utrecht University, Utrecht, The Netherlands
| | - Acadia A Kocher
- Department of Genetics, Yale School of Medicine, New Haven CT, USA
- Present address: Division of Molecular Genetics, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | | | - Yu Ji
- Department of Genetics, Yale School of Medicine, New Haven CT, USA
| | - Suxia Bai
- Yale Genome Editing Center, Yale School of Medicine, New Haven CT, USA
| | - Xiaojun Xing
- Yale Genome Editing Center, Yale School of Medicine, New Haven CT, USA
| | - Timothy Nottoli
- Yale Genome Editing Center, Yale School of Medicine, New Haven CT, USA
| | - James P Noonan
- Department of Genetics, Yale School of Medicine, New Haven CT, USA
- Department of Ecology and Evolutionary Biology, Yale University, New Haven CT, USA
- Department of Neuroscience, Yale School of Medicine, New Haven CT, USA
- Wu Tsai Institute, Yale University, New Haven CT, USA
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18
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Di Vona C, Barba L, Ferrari R, de la Luna S. Loss of the DYRK1A Protein Kinase Results in the Reduction in Ribosomal Protein Gene Expression, Ribosome Mass and Reduced Translation. Biomolecules 2023; 14:31. [PMID: 38254631 PMCID: PMC10813206 DOI: 10.3390/biom14010031] [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: 11/17/2023] [Revised: 12/19/2023] [Accepted: 12/21/2023] [Indexed: 01/24/2024] Open
Abstract
Ribosomal proteins (RPs) are evolutionary conserved proteins that are essential for protein translation. RP expression must be tightly regulated to ensure the appropriate assembly of ribosomes and to respond to the growth demands of cells. The elements regulating the transcription of RP genes (RPGs) have been characterized in yeast and Drosophila, yet how cells regulate the production of RPs in mammals is less well understood. Here, we show that a subset of RPG promoters is characterized by the presence of the palindromic TCTCGCGAGA motif and marked by the recruitment of the protein kinase DYRK1A. The presence of DYRK1A at these promoters is associated with the enhanced binding of the TATA-binding protein, TBP, and it is negatively correlated with the binding of the GABP transcription factor, establishing at least two clusters of RPGs that could be coordinately regulated. However, DYRK1A silencing leads to a global reduction in RPGs mRNAs, pointing at DYRK1A activities beyond those dependent on its chromatin association. Significantly, cells in which DYRK1A is depleted have reduced RP levels, fewer ribosomes, reduced global protein synthesis and a smaller size. We therefore propose a novel role for DYRK1A in coordinating the expression of genes encoding RPs, thereby controlling cell growth in mammals.
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Affiliation(s)
- Chiara Di Vona
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology (BIST), Dr Aiguader 88, 08003 Barcelona, Spain
- Centro de Investigación Biomédica en Red en Enfermedades Raras (CIBERER), 28029 Madrid, Spain
| | - Laura Barba
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology (BIST), Dr Aiguader 88, 08003 Barcelona, Spain
- Centro de Investigación Biomédica en Red en Enfermedades Raras (CIBERER), 28029 Madrid, Spain
| | - Roberto Ferrari
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Viale delle Scienze 23/A, 43124 Parma, Italy;
| | - Susana de la Luna
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology (BIST), Dr Aiguader 88, 08003 Barcelona, Spain
- Centro de Investigación Biomédica en Red en Enfermedades Raras (CIBERER), 28029 Madrid, Spain
- Department of Medicine and Life Sciences, Universitat Pompeu Fabra (UPF), Dr Aiguader 88, 08003 Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Passeig Lluís Companys 23, 08010 Barcelona, Spain
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19
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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: 3] [Impact Index Per Article: 1.5] [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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20
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Albinati L, Bianchi A, Beekman R. The emerging field of opportunities for single-cell DNA methylation studies in hematology and beyond. Front Mol Biosci 2023; 10:1286716. [PMID: 37954981 PMCID: PMC10637949 DOI: 10.3389/fmolb.2023.1286716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 10/12/2023] [Indexed: 11/14/2023] Open
Affiliation(s)
- Leone Albinati
- Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Agostina Bianchi
- Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Renée Beekman
- Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Centre Nacional d’Anàlisi Genòmica (CNAG), Barcelona, Spain
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
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21
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Salbaum JM, Stone KP, Kruger C, Kappen C. Differential responses to maternal diabetes in embryo and visceral yolk sac. Front Cell Dev Biol 2023; 11:1273641. [PMID: 37928898 PMCID: PMC10620973 DOI: 10.3389/fcell.2023.1273641] [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: 08/11/2023] [Accepted: 10/02/2023] [Indexed: 11/07/2023] Open
Abstract
Introduction: Maternal diabetes during pregnancy is well known to be associated with a higher risk for structural birth defects in the offspring. Recent searches for underlying mechanisms have largely focused on aberrant processes in the embryo itself, although prior research in rodent models implicated dysfunction also of the visceral yolk sac. The objective of our research was to investigate both tissues within the conceptus simultaneously. Methods: We conducted unbiased transcriptome profiling by RNA sequencing on pairs of individual yolk sacs and their cognate embryos, using the non-obese diabetic (NOD) mouse model. The analysis was performed at gestational day 8.5 on morphologically normal specimen to circumvent confounding by defective development. Results: Even with large sample numbers (n = 33 in each group), we observed considerable variability of gene expression, primarily driven by exposure to maternal diabetes, and secondarily by developmental stage of the embryo. Only a moderate number of genes changed expression in the yolk sac, while in the embryo, the exposure distinctly influenced the relationship of gene expression levels to developmental progression, revealing a possible role for altered cell cycle regulation in the response. Also affected in embryos under diabetic conditions were genes involved in cholesterol biosynthesis and NAD metabolism pathways. Discussion: Exposure to maternal diabetes during gastrulation changes transcriptomic profiles in embryos to a substantially greater effect than in the corresponding yolk sacs, indicating that despite yolk sac being of embryonic origin, different mechanisms control transcriptional activity in these tissues. The effects of maternal diabetes on expression of many genes that are correlated with developmental progression (i.e. somite stage) highlight the importance of considering developmental maturity in the interpretation of transcriptomic data. Our analyses identified cholesterol biosynthesis and NAD metabolism as novel pathways not previously implicated in diabetic pregnancies. Both NAD and cholesterol availability affect a wide variety of cellular signaling processes, and can be modulated by diet, implying that prevention of adverse outcomes from diabetic pregnancies may require broad interventions, particularly in the early stages of pregnancy.
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Affiliation(s)
- J. Michael Salbaum
- Department of Regulation of Gene Expression, Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, LA, United States
| | - Kirsten P. Stone
- Department of Developmental Biology, Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, LA, United States
| | - Claudia Kruger
- Department of Developmental Biology, Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, LA, United States
| | - Claudia Kappen
- Department of Developmental Biology, Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, LA, United States
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22
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Karttunen K, Patel D, Xia J, Fei L, Palin K, Aaltonen L, Sahu B. Transposable elements as tissue-specific enhancers in cancers of endodermal lineage. Nat Commun 2023; 14:5313. [PMID: 37658059 PMCID: PMC10474299 DOI: 10.1038/s41467-023-41081-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 08/23/2023] [Indexed: 09/03/2023] Open
Abstract
Transposable elements (TE) are repetitive genomic elements that harbor binding sites for human transcription factors (TF). A regulatory role for TEs has been suggested in embryonal development and diseases such as cancer but systematic investigation of their functions has been limited by their widespread silencing in the genome. Here, we utilize unbiased massively parallel reporter assay data using a whole human genome library to identify TEs with functional enhancer activity in two human cancer types of endodermal lineage, colorectal and liver cancers. We show that the identified TE enhancers are characterized by genomic features associated with active enhancers, such as epigenetic marks and TF binding. Importantly, we identify distinct TE subfamilies that function as tissue-specific enhancers, namely MER11- and LTR12-elements in colon and liver cancers, respectively. These elements are bound by distinct TFs in each cell type, and they have predicted associations to differentially expressed genes. In conclusion, these data demonstrate how different cancer types can utilize distinct TEs as tissue-specific enhancers, paving the way for comprehensive understanding of the role of TEs as bona fide enhancers in the cancer genomes.
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Affiliation(s)
- Konsta Karttunen
- Applied Tumor Genomics Program, Research Programs Unit, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Divyesh Patel
- Applied Tumor Genomics Program, Research Programs Unit, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- iCAN Digital Precision Cancer Medicine Flagship, University of Helsinki, Helsinki, Finland
| | - Jihan Xia
- Applied Tumor Genomics Program, Research Programs Unit, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- iCAN Digital Precision Cancer Medicine Flagship, University of Helsinki, Helsinki, Finland
| | - Liangru Fei
- Applied Tumor Genomics Program, Research Programs Unit, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Kimmo Palin
- Applied Tumor Genomics Program, Research Programs Unit, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- iCAN Digital Precision Cancer Medicine Flagship, University of Helsinki, Helsinki, Finland
| | - Lauri Aaltonen
- Applied Tumor Genomics Program, Research Programs Unit, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- iCAN Digital Precision Cancer Medicine Flagship, University of Helsinki, Helsinki, Finland
| | - Biswajyoti Sahu
- Applied Tumor Genomics Program, Research Programs Unit, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
- iCAN Digital Precision Cancer Medicine Flagship, University of Helsinki, Helsinki, Finland.
- Medicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
- Centre for Molecular Medicine Norway, University of Oslo, Oslo, Norway.
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23
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Brovkina MV, Chapman MA, Holding ML, Clowney EJ. Emergence and influence of sequence bias in evolutionarily malleable, mammalian tandem arrays. BMC Biol 2023; 21:179. [PMID: 37612705 PMCID: PMC10463633 DOI: 10.1186/s12915-023-01673-4] [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: 04/25/2023] [Accepted: 08/01/2023] [Indexed: 08/25/2023] Open
Abstract
BACKGROUND The radiation of mammals at the extinction of the dinosaurs produced a plethora of new forms-as diverse as bats, dolphins, and elephants-in only 10-20 million years. Behind the scenes, adaptation to new niches is accompanied by extensive innovation in large families of genes that allow animals to contact the environment, including chemosensors, xenobiotic enzymes, and immune and barrier proteins. Genes in these "outward-looking" families are allelically diverse among humans and exhibit tissue-specific and sometimes stochastic expression. RESULTS Here, we show that these tandem arrays of outward-looking genes occupy AT-biased isochores and comprise the "tissue-specific" gene class that lack CpG islands in their promoters. Models of mammalian genome evolution have not incorporated the sharply different functions and transcriptional patterns of genes in AT- versus GC-biased regions. To examine the relationship between gene family expansion, sequence content, and allelic diversity, we use population genetic data and comparative analysis. First, we find that AT bias can emerge during evolutionary expansion of gene families in cis. Second, human genes in AT-biased isochores or with GC-poor promoters experience relatively low rates of de novo point mutation today but are enriched for non-synonymous variants. Finally, we find that isochores containing gene clusters exhibit low rates of recombination. CONCLUSIONS Our analyses suggest that tolerance of non-synonymous variation and low recombination are two forces that have produced the depletion of GC bases in outward-facing gene arrays. In turn, high AT content exerts a profound effect on their chromatin organization and transcriptional regulation.
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Affiliation(s)
- Margarita V Brovkina
- Graduate Program in Cellular and Molecular Biology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Margaret A Chapman
- Neurosciences Graduate Program, University of Michigan Medical School, Ann Arbor, MI, USA
| | | | - E Josephine Clowney
- Department of Molecular, Cellular, and Developmental Biology, University of Michigan, Ann Arbor, MI, USA.
- Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI, USA.
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24
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Hepkema J, Lee NK, Stewart BJ, Ruangroengkulrith S, Charoensawan V, Clatworthy MR, Hemberg M. Predicting the impact of sequence motifs on gene regulation using single-cell data. Genome Biol 2023; 24:189. [PMID: 37582793 PMCID: PMC10426127 DOI: 10.1186/s13059-023-03021-9] [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: 05/02/2022] [Accepted: 07/21/2023] [Indexed: 08/17/2023] Open
Abstract
The binding of transcription factors at proximal promoters and distal enhancers is central to gene regulation. Identifying regulatory motifs and quantifying their impact on expression remains challenging. Using a convolutional neural network trained on single-cell data, we infer putative regulatory motifs and cell type-specific importance. Our model, scover, explains 29% of the variance in gene expression in multiple mouse tissues. Applying scover to distal enhancers identified using scATAC-seq from the developing human brain, we identify cell type-specific motif activities in distal enhancers. Scover can identify regulatory motifs and their importance from single-cell data where all parameters and outputs are easily interpretable.
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Affiliation(s)
- Jacob Hepkema
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
| | - Nicholas Keone Lee
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
- The Gurdon Institute, University of Cambridge, Tennis Court Road, Cambridge, CB2 1QN, UK
| | - Benjamin J Stewart
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
- Molecular Immunity Unit, Department of Medicine, University of Cambridge, Cambridge, CB2 0QQ, UK
- Cambridge University Hospitals NHS Foundation Trust and NIHR Cambridge Biomedical Research Centre, Cambridge, CB2 0QQ, UK
| | - Siwat Ruangroengkulrith
- Department of Biochemistry, Faculty of Science, Mahidol University, Bangkok, 10400, Thailand
| | - Varodom Charoensawan
- Department of Biochemistry, Faculty of Science, Mahidol University, Bangkok, 10400, Thailand
- Integrative Computational BioScience (ICBS) Center, Mahidol University, Nakhon Pathom, 7310, Thailand
- Systems Biology of Diseases Research Unit, Faculty of Science, Mahidol University, Bangkok, 10400, Thailand
| | - Menna R Clatworthy
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
- Molecular Immunity Unit, Department of Medicine, University of Cambridge, Cambridge, CB2 0QQ, UK
- Cambridge University Hospitals NHS Foundation Trust and NIHR Cambridge Biomedical Research Centre, Cambridge, CB2 0QQ, UK
| | - Martin Hemberg
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK.
- The Gurdon Institute, University of Cambridge, Tennis Court Road, Cambridge, CB2 1QN, UK.
- Gene Lay Institute of Immunology and Inflammation, Brigham and Women's Hospital, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, 02115, USA.
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25
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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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26
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Gupta N, Yakhou L, Albert JR, Azogui A, Ferry L, Kirsh O, Miura F, Battault S, Yamaguchi K, Laisné M, Domrane C, Bonhomme F, Sarkar A, Delagrange M, Ducos B, Cristofari G, Ito T, Greenberg MVC, Defossez PA. A genome-wide screen reveals new regulators of the 2-cell-like cell state. Nat Struct Mol Biol 2023; 30:1105-1118. [PMID: 37488355 DOI: 10.1038/s41594-023-01038-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Accepted: 06/19/2023] [Indexed: 07/26/2023]
Abstract
In mammals, only the zygote and blastomeres of the early embryo are totipotent. This totipotency is mirrored in vitro by mouse '2-cell-like cells' (2CLCs), which appear at low frequency in cultures of embryonic stem cells (ESCs). Because totipotency is not completely understood, we carried out a genome-wide CRISPR knockout screen in mouse ESCs, searching for mutants that reactivate the expression of Dazl, a gene expressed in 2CLCs. Here we report the identification of four mutants that reactivate Dazl and a broader 2-cell-like signature: the E3 ubiquitin ligase adaptor SPOP, the Zinc-Finger transcription factor ZBTB14, MCM3AP, a component of the RNA processing complex TREX-2, and the lysine demethylase KDM5C. All four factors function upstream of DPPA2 and DUX, but not via p53. In addition, SPOP binds DPPA2, and KDM5C interacts with ncPRC1.6 and inhibits 2CLC gene expression in a catalytic-independent manner. These results extend our knowledge of totipotency, a key phase of organismal life.
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Affiliation(s)
- Nikhil Gupta
- Epigenetics and Cell Fate, Université Paris Cité, CNRS, Paris, France.
- Joint AZ CRUK Functional Genomics Centre, The Milner Therapeutics Institute, Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge, UK.
| | - Lounis Yakhou
- Epigenetics and Cell Fate, Université Paris Cité, CNRS, Paris, France
| | | | - Anaelle Azogui
- Epigenetics and Cell Fate, Université Paris Cité, CNRS, Paris, France
| | - Laure Ferry
- Epigenetics and Cell Fate, Université Paris Cité, CNRS, Paris, France
| | - Olivier Kirsh
- Epigenetics and Cell Fate, Université Paris Cité, CNRS, Paris, France
| | - Fumihito Miura
- Department of Biochemistry, Kyushu University Graduate School of Medical Sciences, Fukuoka, Fukuoka, Japan
| | - Sarah Battault
- Epigenetics and Cell Fate, Université Paris Cité, CNRS, Paris, France
| | - Kosuke Yamaguchi
- Epigenetics and Cell Fate, Université Paris Cité, CNRS, Paris, France
| | - Marthe Laisné
- Epigenetics and Cell Fate, Université Paris Cité, CNRS, Paris, France
| | - Cécilia Domrane
- Epigenetics and Cell Fate, Université Paris Cité, CNRS, Paris, France
| | - Frédéric Bonhomme
- Epigenetic Chemical Biology, UMR3523, Institut Pasteur, Université Paris Cité, CNRS, Paris, France
| | - Arpita Sarkar
- IRCAN, Université Côte d'Azur, Inserm, CNRS, Nice, France
| | - Marine Delagrange
- High Throughput qPCR Facility, Institut de Biologie de l'École Normale Supérieure (IBENS), Laboratoire de Physique de l'ENS CNRS UMR8023, PSL Research University, Paris, France
| | - Bertrand Ducos
- High Throughput qPCR Facility, Institut de Biologie de l'École Normale Supérieure (IBENS), Laboratoire de Physique de l'ENS CNRS UMR8023, PSL Research University, Paris, France
| | | | - Takashi Ito
- Department of Biochemistry, Kyushu University Graduate School of Medical Sciences, Fukuoka, Fukuoka, Japan
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27
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Kathman SG, Koo SJ, Lindsey GL, Her HL, Blue SM, Li H, Jaensch S, Remsberg JR, Ahn K, Yeo GW, Ghosh B, Cravatt BF. Remodeling oncogenic transcriptomes by small molecules targeting NONO. Nat Chem Biol 2023; 19:825-836. [PMID: 36864190 PMCID: PMC10337234 DOI: 10.1038/s41589-023-01270-0] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 01/20/2023] [Indexed: 03/04/2023]
Abstract
Much of the human proteome is involved in mRNA homeostasis, but most RNA-binding proteins lack chemical probes. Here we identify electrophilic small molecules that rapidly and stereoselectively decrease the expression of transcripts encoding the androgen receptor and its splice variants in prostate cancer cells. We show by chemical proteomics that the compounds engage C145 of the RNA-binding protein NONO. Broader profiling revealed that covalent NONO ligands suppress an array of cancer-relevant genes and impair cancer cell proliferation. Surprisingly, these effects were not observed in cells genetically disrupted for NONO, which were instead resistant to NONO ligands. Reintroduction of wild-type NONO, but not a C145S mutant, restored ligand sensitivity in NONO-disrupted cells. The ligands promoted NONO accumulation in nuclear foci and stabilized NONO-RNA interactions, supporting a trapping mechanism that may prevent compensatory action of paralog proteins PSPC1 and SFPQ. These findings show that NONO can be co-opted by covalent small molecules to suppress protumorigenic transcriptional networks.
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Affiliation(s)
- Stefan G Kathman
- Department of Chemistry, The Scripps Research Institute, La Jolla, CA, USA.
| | - Seong Joo Koo
- Molecular and Cellular Pharmacology, Discovery Technologies and Molecular Pharmacology, Janssen Research and Development, Beerse, Belgium
| | - Garrett L Lindsey
- Department of Chemistry, The Scripps Research Institute, La Jolla, CA, USA
| | - Hsuan-Lin Her
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA, USA
| | - Steven M Blue
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
| | - Haoxin Li
- Department of Chemistry, The Scripps Research Institute, La Jolla, CA, USA
| | - Steffen Jaensch
- High Dimensional and Computational Biology, Discovery Technologies and Molecular Pharmacology, Janssen Research and Development, Beerse, Belgium
| | - Jarrett R Remsberg
- Department of Chemistry, The Scripps Research Institute, La Jolla, CA, USA
| | - Kay Ahn
- Molecular and Cellular Pharmacology, Discovery Technologies and Molecular Pharmacology, Janssen Research and Development, Spring House, PA, USA.
| | - Gene W Yeo
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA.
| | - Brahma Ghosh
- Discovery Chemistry, Janssen Research and Development, Spring House, PA, USA.
| | - Benjamin F Cravatt
- Department of Chemistry, The Scripps Research Institute, La Jolla, CA, USA.
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28
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Isbel L, Iskar M, Durdu S, Weiss J, Grand RS, Hietter-Pfeiffer E, Kozicka Z, Michael AK, Burger L, Thomä NH, Schübeler D. Readout of histone methylation by Trim24 locally restricts chromatin opening by p53. Nat Struct Mol Biol 2023:10.1038/s41594-023-01021-8. [PMID: 37386214 DOI: 10.1038/s41594-023-01021-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 05/15/2023] [Indexed: 07/01/2023]
Abstract
The genomic binding sites of the transcription factor (TF) and tumor suppressor p53 are unusually diverse with regard to their chromatin features, including histone modifications, raising the possibility that the local chromatin environment can contextualize p53 regulation. Here, we show that epigenetic characteristics of closed chromatin, such as DNA methylation, do not influence the binding of p53 across the genome. Instead, the ability of p53 to open chromatin and activate its target genes is locally restricted by its cofactor Trim24. Trim24 binds to both p53 and unmethylated histone 3 lysine 4 (H3K4), thereby preferentially localizing to those p53 sites that reside in closed chromatin, whereas it is deterred from accessible chromatin by H3K4 methylation. The presence of Trim24 increases cell viability upon stress and enables p53 to affect gene expression as a function of the local chromatin state. These findings link H3K4 methylation to p53 function and illustrate how specificity in chromatin can be achieved, not by TF-intrinsic sensitivity to histone modifications, but by employing chromatin-sensitive cofactors that locally modulate TF function.
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Affiliation(s)
- Luke Isbel
- Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Murat Iskar
- Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
| | - Sevi Durdu
- Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
| | - Joscha Weiss
- Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
- Faculty of Sciences, University of Basel, Basel, Switzerland
| | - Ralph S Grand
- Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
- Zentrum für Molekulare Biologie der Universität Heidelberg, Heidelberg, Germany
| | - Eric Hietter-Pfeiffer
- Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
- Faculty of Sciences, University of Basel, Basel, Switzerland
| | - Zuzanna Kozicka
- Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
- Faculty of Sciences, University of Basel, Basel, Switzerland
| | - Alicia K Michael
- Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
- Biozentrum, University of Basel, Basel, Switzerland
| | - Lukas Burger
- Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
- Swiss Institute of Bioinformatics, Basel, Switzerland
| | - Nicolas H Thomä
- Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
| | - Dirk Schübeler
- Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland.
- Faculty of Sciences, University of Basel, Basel, Switzerland.
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29
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Rummel T, Sakellaridi L, Erhard F. grandR: a comprehensive package for nucleotide conversion RNA-seq data analysis. Nat Commun 2023; 14:3559. [PMID: 37321987 PMCID: PMC10272207 DOI: 10.1038/s41467-023-39163-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 06/01/2023] [Indexed: 06/17/2023] Open
Abstract
Metabolic labeling of RNA is a powerful technique for studying the temporal dynamics of gene expression. Nucleotide conversion approaches greatly facilitate the generation of data but introduce challenges for their analysis. Here we present grandR, a comprehensive package for quality control, differential gene expression analysis, kinetic modeling, and visualization of such data. We compare several existing methods for inference of RNA synthesis rates and half-lives using progressive labeling time courses. We demonstrate the need for recalibration of effective labeling times and introduce a Bayesian approach to study the temporal dynamics of RNA using snapshot experiments.
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Affiliation(s)
- Teresa Rummel
- Institute for Virology and Immunobiology, University of Würzburg, Versbacher Str. 7, 97078, Würzburg, Germany
| | - Lygeri Sakellaridi
- Institute for Virology and Immunobiology, University of Würzburg, Versbacher Str. 7, 97078, Würzburg, Germany
| | - Florian Erhard
- Institute for Virology and Immunobiology, University of Würzburg, Versbacher Str. 7, 97078, Würzburg, Germany.
- Faculty for Informatics and Data Science, University of Regensburg, Bajuwarenstr. 4, 93053, Regensburg, Germany.
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30
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Pan A, Zeng Y, Liu J, Zhou M, Lai EC, Yu Y. Unanticipated broad phylogeny of BEN DNA-binding domains revealed by structural homology searches. Curr Biol 2023; 33:2270-2282.e2. [PMID: 37236184 PMCID: PMC10348805 DOI: 10.1016/j.cub.2023.05.011] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 04/07/2023] [Accepted: 05/05/2023] [Indexed: 05/28/2023]
Abstract
Organization of protein sequences into domain families is a foundation for cataloging and investigating protein functions. However, long-standing strategies based on primary amino acid sequences are blind to the possibility that proteins with dissimilar sequences could have comparable tertiary structures. Building on our recent findings that in silico structural predictions of BEN family DNA-binding domains closely resemble their experimentally determined crystal structures, we exploited the AlphaFold2 database for comprehensive identification of BEN domains. Indeed, we identified numerous novel BEN domains, including members of new subfamilies. For example, while no BEN domain factors had previously been annotated in C. elegans, this species actually encodes multiple BEN proteins. These include key developmental timing genes of orphan domain status, sel-7 and lin-14, the latter being the central target of the founding miRNA lin-4. We also reveal that the domain of unknown function 4806 (DUF4806), which is widely distributed across metazoans, is structurally similar to BEN and comprises a new subtype. Surprisingly, we find that BEN domains resemble both metazoan and non-metazoan homeodomains in 3D conformation and preserve characteristic residues, indicating that despite their inability to be aligned by conventional methods, these DNA-binding modules are probably evolutionarily related. Finally, we broaden the application of structural homology searches by revealing novel human members of DUF3504, which exists on diverse proteins with presumed or known nuclear functions. Overall, our work strongly expands this recently identified family of transcription factors and illustrates the value of 3D structural predictions to annotate protein domains and interpret their functions.
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Affiliation(s)
- Anyu Pan
- State Key Laboratory of Medical Molecular Biology, Department of Molecular Biology and Biochemistry, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing 100005, China
| | - Yangfan Zeng
- State Key Laboratory of Medical Molecular Biology, Department of Molecular Biology and Biochemistry, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing 100005, China
| | - Jingjing Liu
- State Key Laboratory of Medical Molecular Biology, Department of Molecular Biology and Biochemistry, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing 100005, China
| | - Mengjie Zhou
- State Key Laboratory of Medical Molecular Biology, Department of Molecular Biology and Biochemistry, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing 100005, China
| | - Eric C Lai
- Developmental Biology Program, Sloan Kettering Institute, New York, NY 10065, USA
| | - 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 & School of Basic Medicine, Peking Union Medical College, Beijing 100005, China.
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31
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Zhou S, Ou H, Wu Y, Qi D, Pei X, Yu X, Hu X, Wu E. Targeting tumor endothelial cells with methyltransferase inhibitors: Mechanisms of action and the potential of combination therapy. Pharmacol Ther 2023:108434. [PMID: 37172786 DOI: 10.1016/j.pharmthera.2023.108434] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Revised: 04/30/2023] [Accepted: 05/02/2023] [Indexed: 05/15/2023]
Abstract
Tumor endothelial cells (TECs) reside in the inner lining of blood vessels and represent a promising target for targeted cancer therapy. DNA methylation is a chemical process that involves the transfer of a methyl group to a specific base in the DNA strand, catalyzed by DNA methyltransferase (DNMT). DNMT inhibitors (DNMTis) can inhibit the activity of DNMTs, thereby preventing the transfer of methyl groups from s-adenosyl methionine (SAM) to cytosine. Currently, the most viable therapy for TECs is the development of DNMTis to release cancer suppressor genes from their repressed state. In this review, we first outline the characteristics of TECs and describe the development of tumor blood vessels and TECs. Abnormal DNA methylation is closely linked to tumor initiation, progression, and cell carcinogenesis, as evidenced by numerous studies. Therefore, we summarize the role of DNA methylation and DNA methyltransferase and the therapeutic potential of four types of DNMTi in targeting TECs. Finally, we discuss the accomplishments, challenges, and opportunities associated with combination therapy with DNMTis for TECs.
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Affiliation(s)
- Shu Zhou
- State Key Laboratory of Biosensing, College of Biology, Hunan University, Changsha, Hunan 410082, China
| | - Hailong Ou
- State Key Laboratory of Biosensing, College of Biology, Hunan University, Changsha, Hunan 410082, China
| | - Yatao Wu
- State Key Laboratory of Biosensing, College of Biology, Hunan University, Changsha, Hunan 410082, China
| | - Dan Qi
- Texas A & M University Schools of Medicine and Pharmacy, College Station, TX 77843, USA
| | - Xiaming Pei
- Department of Urology, Department of Pathology, Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Changsha, Hunan 410013, China
| | - Xiaohui Yu
- Department of Urology, Department of Pathology, Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Changsha, Hunan 410013, China
| | - Xiaoxiao Hu
- State Key Laboratory of Biosensing, College of Biology, Hunan University, Changsha, Hunan 410082, China; Research Institute of Hunan University in Chongqing, Chongqing 401120, China.
| | - Erxi Wu
- Department of Neurosurgery, Neuroscience Institute, Baylor Scott & White Health, Temple, TX 78508, USA; Texas A & M University Schools of Medicine and Pharmacy, College Station, TX 77843, USA; LIVESTRONG Cancer Institutes, Department of Oncology, Dell Medical School, the University of Texas at Austin, Austin, TX 78712, USA.
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32
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Bryzgalov LO, Korbolina EE, Merkulova TI. Exploring the Genetic Predisposition to Epigenetic Changes in Alzheimer's Disease. Int J Mol Sci 2023; 24:ijms24097955. [PMID: 37175659 PMCID: PMC10177989 DOI: 10.3390/ijms24097955] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 04/05/2023] [Accepted: 04/21/2023] [Indexed: 05/15/2023] Open
Abstract
Alzheimer's disease (AD) is a prevalent type of dementia in elderly populations with a significant genetic component. The accumulating evidence suggests that AD involves a reconfiguration of the epigenetic landscape, including DNA methylation, post-translational modification of histone proteins, and chromatin remodeling. Along with environmental factors, individual specific genetic features play a considerable role in the formation of epigenetic architecture. In this study, we attempt to identify the non-coding regulatory SNPs (rSNPs) able to affect the epigenetic mechanisms in AD. To this end, the multi-omics approach is used. The GEO (Gene Expression Omnibus) available data (GSE153875) for AD patients and controls are integrated to reveal the rSNPs that display allele-specific features in both ChIP-seq profiles of four histone modifications and RNA-seq. Furthermore, we analyze the presence of rSNPs in the promoters of genes reported to be differentially expressed between AD and the normal brain (AD-related genes) and involved in epigenetic regulation according to the EpiFactors database. We also searched for the rSNPs in the promoters of the genes coding for transcription regulators of the identified AD-related genes. These regulators were selected based on the corresponding ChIP-seq peaks (ENCODE) in the promoter regions of these genes. Finally, we formed a panel of rSNPs localized to the promoters of genes that contribute to the epigenetic landscape in AD and, thus, to the genetic predisposition for this disease.
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Affiliation(s)
- Leonid O Bryzgalov
- The Federal Research Center Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Science, 10 Lavrentyeva Prospekt, 630090 Novosibirsk, Russia
- Vector-Best, 630117 Novosibirsk, Russia
| | - Elena E Korbolina
- The Federal Research Center Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Science, 10 Lavrentyeva Prospekt, 630090 Novosibirsk, Russia
| | - Tatiana I Merkulova
- The Federal Research Center Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Science, 10 Lavrentyeva Prospekt, 630090 Novosibirsk, Russia
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33
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Liu K, Zhang J, Xiao Y, Yang A, Song X, Li Y, Chen Y, Hughes TR, Min J. Structural insights into DNA recognition by the BEN domain of the transcription factor BANP. J Biol Chem 2023; 299:104734. [PMID: 37086783 DOI: 10.1016/j.jbc.2023.104734] [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: 01/06/2023] [Revised: 04/12/2023] [Accepted: 04/15/2023] [Indexed: 04/24/2023] Open
Abstract
The BEN domain-containing transcription factors regulate transcription by recruiting chromatin-modifying factors to specific chromatin regions via their DNA-binding BEN domains. The BEN domain of BANP has been shown to bind to a CGCG DNA sequence or an AAA-containing MARs (matrix attachment regions) DNA sequence. Consistent with these in vivo observations, we identified an optimal DNA binding sequence of AAATCTCG by PBM (protein binding microarray), which was also confirmed by our ITC (Isothermal Titration Calorimetry) and mutagenesis results to uncover additional mechanistic details about DNA binding by the BEN domain of BANP. We then determined crystal structures of the BANP BEN domain in apo form and in complex with a CGCG-containing DNA, respectively, which revealed that the BANP BEN domain mainly used the electrostatic interactions to bind DNA with some base-specific interactions with the TC motifs. Our ITC results also showed that BANP bound to unmethylated and methylated DNAs with comparable binding affinities. Our complex structure of BANP-mCGCG revealed that the BANP BEN domain bound to the unmethylated and methylated DNAs in a similar mode and cytosine methylation did not get involved in binding, which is also consistent with our observations from the complex structures of the BEND6 BEN domain with the CGCG or CGmCG DNAs. Taken together, our results further elucidate the elements important for DNA recognition and transcriptional regulation by the BANP BEN domain-containing transcription factor.
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Affiliation(s)
- Ke Liu
- Hubei Key Laboratory of Genetic Regulation and Integrative Biology, School of Life Sciences, Central China Normal University, Wuhan 430079, PR China.
| | - Jin Zhang
- Hubei Key Laboratory of Genetic Regulation and Integrative Biology, School of Life Sciences, Central China Normal University, Wuhan 430079, PR China
| | - Yuqing Xiao
- Hubei Key Laboratory of Genetic Regulation and Integrative Biology, School of Life Sciences, Central China Normal University, Wuhan 430079, PR China
| | - Ally Yang
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario, M5S 3E1, Canada
| | - Xiaosheng Song
- Structural Genomics Consortium and Department of Physiology, University of Toronto, Toronto, Ontario M5S 3E1, Canada
| | - Yanjun Li
- Structural Genomics Consortium and Department of Physiology, University of Toronto, Toronto, Ontario M5S 3E1, Canada
| | - Yunxia Chen
- Hubei Key Laboratory of Genetic Regulation and Integrative Biology, School of Life Sciences, Central China Normal University, Wuhan 430079, PR China
| | - Timothy R Hughes
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario, M5S 3E1, Canada
| | - Jinrong Min
- Hubei Key Laboratory of Genetic Regulation and Integrative Biology, School of Life Sciences, Central China Normal University, Wuhan 430079, PR China; Structural Genomics Consortium and Department of Physiology, University of Toronto, Toronto, Ontario M5S 3E1, Canada.
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34
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Kreibich E, Kleinendorst R, Barzaghi G, Kaspar S, Krebs AR. Single-molecule footprinting identifies context-dependent regulation of enhancers by DNA methylation. Mol Cell 2023; 83:787-802.e9. [PMID: 36758546 DOI: 10.1016/j.molcel.2023.01.017] [Citation(s) in RCA: 43] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 11/21/2022] [Accepted: 01/16/2023] [Indexed: 02/11/2023]
Abstract
Enhancers are cis-regulatory elements that control the establishment of cell identities during development. In mammals, enhancer activation is tightly coupled with DNA demethylation. However, whether this epigenetic remodeling is necessary for enhancer activation is unknown. Here, we adapted single-molecule footprinting to measure chromatin accessibility and transcription factor binding as a function of the presence of methylation on the same DNA molecules. We leveraged natural epigenetic heterogeneity at active enhancers to test the impact of DNA methylation on their chromatin accessibility in multiple cell lineages. Although reduction of DNA methylation appears dispensable for the activity of most enhancers, we identify a class of cell-type-specific enhancers where DNA methylation antagonizes the binding of transcription factors. Genetic perturbations reveal that chromatin accessibility and transcription factor binding require active demethylation at these loci. Thus, in addition to safeguarding the genome from spurious activation, DNA methylation directly controls transcription factor occupancy at active enhancers.
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Affiliation(s)
- Elisa Kreibich
- European Molecular Biology Laboratory (EMBL), Genome Biology Unit, Meyerhofstraße 1, 69117 Heidelberg, Germany; Faculty of Biosciences, Collaboration for Joint PhD Degree between EMBL and Heidelberg University, Heidelberg, Germany
| | - Rozemarijn Kleinendorst
- European Molecular Biology Laboratory (EMBL), Genome Biology Unit, Meyerhofstraße 1, 69117 Heidelberg, Germany
| | - Guido Barzaghi
- European Molecular Biology Laboratory (EMBL), Genome Biology Unit, Meyerhofstraße 1, 69117 Heidelberg, Germany; Faculty of Biosciences, Collaboration for Joint PhD Degree between EMBL and Heidelberg University, Heidelberg, Germany
| | - Sarah Kaspar
- European Molecular Biology Laboratory (EMBL), Genome Biology Unit, Meyerhofstraße 1, 69117 Heidelberg, Germany
| | - Arnaud R Krebs
- European Molecular Biology Laboratory (EMBL), Genome Biology Unit, Meyerhofstraße 1, 69117 Heidelberg, Germany.
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35
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Hitrec T, Petit C, Cryer E, Muir C, Tal N, Fustin JM, Hughes AT, Piggins HD. Timed exercise stabilizes behavioral rhythms but not molecular programs in the brain's suprachiasmatic clock. iScience 2023; 26:106002. [PMID: 36866044 PMCID: PMC9971895 DOI: 10.1016/j.isci.2023.106002] [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: 09/06/2022] [Revised: 11/25/2022] [Accepted: 01/13/2023] [Indexed: 01/20/2023] Open
Abstract
Timed daily access to a running-wheel (scheduled voluntary exercise; SVE) synchronizes rodent circadian rhythms and promotes stable, 24h rhythms in animals with genetically targeted impairment of neuropeptide signaling (Vipr2 -/- mice). Here we used RNA-seq and/or qRT-PCR to assess how this neuropeptide signaling impairment as well as SVE shapes molecular programs in the brain clock (suprachiasmatic nuclei; SCN) and peripheral tissues (liver and lung). Compared to Vipr2 +/+ animals, the SCN transcriptome of Vipr2 -/- mice showed extensive dysregulation which included core clock components, transcription factors, and neurochemicals. Furthermore, although SVE stabilized behavioral rhythms in these animals, the SCN transcriptome remained dysregulated. The molecular programs in the lung and liver of Vipr2 -/- mice were partially intact, although their response to SVE differed to that of these peripheral tissues in the Vipr2 +/+ mice. These findings highlight that SVE can correct behavioral abnormalities in circadian rhythms without causing large scale alterations to the SCN transcriptome.
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Affiliation(s)
- Timna Hitrec
- School of Physiology, Pharmacology, and Neuroscience, Faculty of Life Sciences, University of Bristol, Bristol BS8 1TD, UK
| | - Cheryl Petit
- School of Medical Sciences, Faculty of Biology, Medicine, and Health, University of Manchester, Manchester M13 9PT, UK
| | - Emily Cryer
- School of Biological Sciences, Faculty of Life Sciences, University of Bristol, Bristol BS8 1TQ, UK
| | - Charlotte Muir
- School of Physiology, Pharmacology, and Neuroscience, Faculty of Life Sciences, University of Bristol, Bristol BS8 1TD, UK
| | - Natalie Tal
- School of Medical Sciences, Faculty of Biology, Medicine, and Health, University of Manchester, Manchester M13 9PT, UK
| | - Jean-Michel Fustin
- School of Medical Sciences, Faculty of Biology, Medicine, and Health, University of Manchester, Manchester M13 9PT, UK
| | - Alun T.L. Hughes
- School of Medical Sciences, Faculty of Biology, Medicine, and Health, University of Manchester, Manchester M13 9PT, UK,School of Biological and Environmental Sciences, Faculty of Science, Liverpool John Moores University, Liverpool L3 3AF, UK,Corresponding author
| | - Hugh D. Piggins
- School of Physiology, Pharmacology, and Neuroscience, Faculty of Life Sciences, University of Bristol, Bristol BS8 1TD, UK,School of Medical Sciences, Faculty of Biology, Medicine, and Health, University of Manchester, Manchester M13 9PT, UK,Corresponding author
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36
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Tan DS, Cheung SL, Gao Y, Weinbuch M, Hu H, Shi L, Ti SC, Hutchins AP, Cojocaru V, Jauch R. The homeodomain of Oct4 is a dimeric binder of methylated CpG elements. Nucleic Acids Res 2023; 51:1120-1138. [PMID: 36631980 PMCID: PMC9943670 DOI: 10.1093/nar/gkac1262] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 12/14/2022] [Accepted: 12/19/2022] [Indexed: 01/13/2023] Open
Abstract
Oct4 is essential to maintain pluripotency and has a pivotal role in establishing the germline. Its DNA-binding POU domain was recently found to bind motifs with methylated CpG elements normally associated with epigenetic silencing. However, the mode of binding and the consequences of this capability has remained unclear. Here, we show that Oct4 binds to a compact palindromic DNA element with a methylated CpG core (CpGpal) in alternative states of pluripotency and during cellular reprogramming towards induced pluripotent stem cells (iPSCs). During cellular reprogramming, typical Oct4 bound enhancers are uniformly demethylated, with the prominent exception of the CpGpal sites where DNA methylation is often maintained. We demonstrate that Oct4 cooperatively binds the CpGpal element as a homodimer, which contrasts with the ectoderm-expressed POU factor Brn2. Indeed, binding to CpGpal is Oct4-specific as other POU factors expressed in somatic cells avoid this element. Binding assays combined with structural analyses and molecular dynamic simulations show that dimeric Oct4-binding to CpGpal is driven by the POU-homeodomain whilst the POU-specific domain is detached from DNA. Collectively, we report that Oct4 exerts parts of its regulatory function in the context of methylated DNA through a DNA recognition mechanism that solely relies on its homeodomain.
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Affiliation(s)
- Daisylyn Senna Tan
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Shun Lai Cheung
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Ya Gao
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Maike Weinbuch
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China,Institute for Molecular Medicine, Ulm University, Ulm, Germany
| | - Haoqing Hu
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Liyang Shi
- Shenzhen Key Laboratory of Gene Regulation and Systems Biology, Department of Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen 518055, China
| | - Shih-Chieh Ti
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Andrew P Hutchins
- Shenzhen Key Laboratory of Gene Regulation and Systems Biology, Department of Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen 518055, China
| | - Vlad Cojocaru
- STAR-UBB Institute, Babeş-Bolyai University, Cluj-Napoca, Romania,Computational Structural Biology Group, Utrecht University, The Netherlands,Max Planck Institute for Molecular Biomedicine, Münster, Germany
| | - Ralf Jauch
- To whom correspondence should be addressed. Tel: +852 3917 9511; Fax: +852 28559730;
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37
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Ochoa S, Hernández-Lemus E. Functional impact of multi-omic interactions in breast cancer subtypes. Front Genet 2023; 13:1078609. [PMID: 36685900 PMCID: PMC9850112 DOI: 10.3389/fgene.2022.1078609] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 12/15/2022] [Indexed: 01/07/2023] Open
Abstract
Multi-omic approaches are expected to deliver a broader molecular view of cancer. However, the promised mechanistic explanations have not quite settled yet. Here, we propose a theoretical and computational analysis framework to semi-automatically produce network models of the regulatory constraints influencing a biological function. This way, we identified functions significantly enriched on the analyzed omics and described associated features, for each of the four breast cancer molecular subtypes. For instance, we identified functions sustaining over-representation of invasion-related processes in the basal subtype and DNA modification processes in the normal tissue. We found limited overlap on the omics-associated functions between subtypes; however, a startling feature intersection within subtype functions also emerged. The examples presented highlight new, potentially regulatory features, with sound biological reasons to expect a connection with the functions. Multi-omic regulatory networks thus constitute reliable models of the way omics are connected, demonstrating a capability for systematic generation of mechanistic hypothesis.
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Affiliation(s)
- Soledad Ochoa
- Computational Genomics Division, National Institute of Genomic Medicine, Mexico City, Mexico,Programa de Doctorado en Ciencias Biomédicas, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Enrique Hernández-Lemus
- Computational Genomics Division, National Institute of Genomic Medicine, Mexico City, Mexico,Center for Complexity Sciences, Universidad Nacional Autónoma de México, Mexico City, Mexico,*Correspondence: Enrique Hernández-Lemus,
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38
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Sun Y, Wu Q, Lin R, Chen H, Zhang M, Jiang B, Wang Y, Xue P, Gan Q, Shen Y, Chen F, Liu J, Zhou C, Lan S, Pan H, Deng F, Yue W, Lu L, Jiang X, Li Y. Genome-wide association study for the primary feather color trait in a native Chinese duck. Front Genet 2023; 14:1065033. [PMID: 36936414 PMCID: PMC10020179 DOI: 10.3389/fgene.2023.1065033] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Accepted: 02/23/2023] [Indexed: 03/06/2023] Open
Abstract
Background: To reveal candidate genes and the molecular genetic mechanism underlying primary feather color trait in ducks, a genome-wide association study (GWAS) for the primary feather color trait was performed based on the genotyping-by-sequencing (GBS) technology for a native Chinese female duck, Longyan Shan-ma ducks. Methods: Blood genomic DNA from 314 female Longyan Shan-ma duck were genotyped using GBS technology. A GWAS for the primary feather color trait with genome variations was performed using an univariate linear mixed model based on all SNPs in autosomes. Results: Seven genome-wide significant single nucleotide polymorphisms (SNPs, Bonferroni-adjusted p-value <8.03 × 10-7) within the introns of the genes STARD9, ZNF106, SLC7A5, and BANP genes were associated with the primary feather color trait. Twenty-two genome-wide suggestive SNPs (Bonferroni-adjusted p-value <1.61 × 10-5) of 17 genes (besides ZNF106 and SLC7A5) were also identified. Seven SNPs were located at one 0.22 Mb region (38.65-38.87 Mb) on chromosome 5, and six SNPs were located at one 0.31 Mb region (19.53-19.84 Mb) on chromosome 11. The functions of STARD9, SLC7A5, BANP, LOC101798015, and IPMK were involved pigmentation and follicle development, especially, STARD9 upregulated expression in black feather (haplotype-CCCC) bulb tissue compared with in pockmarked feather (haplotype-TGTT) bulb tissue, implicating these genes as candidate genes for primary feather color trait. Conclusion: The preliminarily findings suggested candidate genes and regions, and the genetic basis of primary feather color trait in a female duck.
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Affiliation(s)
- Yanfa Sun
- College of Life Sciences, Longyan University, Longyan, Fujian, China
- Fujian Provincial Key Laboratory for the Prevention and Control of Animal Infectious Diseases and Biotechnology, Longyan, Fujian, China
- Fujian Provincial Universities Key Laboratory of Preventive Veterinary Medicine and Biotechnology (Longyan University), Longyan, Fujian, China
| | - Qiong Wu
- College of Life Sciences, Longyan University, Longyan, Fujian, China
- Fujian Provincial Key Laboratory for the Prevention and Control of Animal Infectious Diseases and Biotechnology, Longyan, Fujian, China
- Fujian Provincial Universities Key Laboratory of Preventive Veterinary Medicine and Biotechnology (Longyan University), Longyan, Fujian, China
| | - Rulong Lin
- Longyan Shan-ma Duck Original Breeding Farm, Agricultural Bureau of Xinluo District, Longyan, Fujian, China
| | - Hongping Chen
- Longyan Shan-ma Duck Original Breeding Farm, Agricultural Bureau of Xinluo District, Longyan, Fujian, China
| | - Min Zhang
- College of Life Sciences, Longyan University, Longyan, Fujian, China
- Fujian Provincial Key Laboratory for the Prevention and Control of Animal Infectious Diseases and Biotechnology, Longyan, Fujian, China
- Fujian Provincial Universities Key Laboratory of Preventive Veterinary Medicine and Biotechnology (Longyan University), Longyan, Fujian, China
| | - Bingbing Jiang
- Institute of Animal Science and Veterinary, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Yaru Wang
- College of Life Sciences, Longyan University, Longyan, Fujian, China
| | - Pengfei Xue
- College of Life Sciences, Longyan University, Longyan, Fujian, China
| | - Qiuyun Gan
- College of Life Sciences, Longyan University, Longyan, Fujian, China
| | - Yue Shen
- College of Life Sciences, Longyan University, Longyan, Fujian, China
| | - Feifan Chen
- College of Life Sciences, Longyan University, Longyan, Fujian, China
| | - Jiantao Liu
- College of Life Sciences, Longyan University, Longyan, Fujian, China
| | - Chenxin Zhou
- College of Life Sciences, Longyan University, Longyan, Fujian, China
| | - Shishi Lan
- College of Life Sciences, Longyan University, Longyan, Fujian, China
| | - Haozhe Pan
- College of Life Sciences, Longyan University, Longyan, Fujian, China
| | - Fan Deng
- College of Life Sciences, Longyan University, Longyan, Fujian, China
| | - Wen Yue
- Longyan Shan-ma Duck Original Breeding Farm, Agricultural Bureau of Xinluo District, Longyan, Fujian, China
| | - Lizhi Lu
- Institute of Animal Science and Veterinary, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Xiaobing Jiang
- Fujian Provincial Animal Husbandry Headquarters, Fuzhou, Fujian, China
- *Correspondence: Xiaobing Jiang, ; Yan Li,
| | - Yan Li
- College of Life Sciences, Longyan University, Longyan, Fujian, China
- Fujian Provincial Key Laboratory for the Prevention and Control of Animal Infectious Diseases and Biotechnology, Longyan, Fujian, China
- Fujian Provincial Universities Key Laboratory of Preventive Veterinary Medicine and Biotechnology (Longyan University), Longyan, Fujian, China
- *Correspondence: Xiaobing Jiang, ; Yan Li,
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39
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Braga LG, Chud TCS, Watanabe RN, Savegnago RP, Sena TM, do Carmo AS, Machado MA, Panetto JCDC, da Silva MVGB, Munari DP. Identification of copy number variations in the genome of Dairy Gir cattle. PLoS One 2023; 18:e0284085. [PMID: 37036840 PMCID: PMC10085049 DOI: 10.1371/journal.pone.0284085] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 03/23/2023] [Indexed: 04/11/2023] Open
Abstract
Studying structural variants that can control complex traits is relevant for dairy cattle production, especially for animals that are tolerant to breeding conditions in the tropics, such as the Dairy Gir cattle. This study identified and characterized high confidence copy number variation regions (CNVR) in the Gir breed genome. A total of 38 animals were whole-genome sequenced, and 566 individuals were genotyped with a high-density SNP panel, among which 36 animals had both sequencing and SNP genotyping data available. Two sets of high confidence CNVR were established: one based on common CNV identified in the studied population (CNVR_POP), and another with CNV identified in sires with both sequence and SNP genotyping data available (CNVR_ANI). We found 10 CNVR_POP and 45 CNVR_ANI, which covered 1.05 Mb and 4.4 Mb of the bovine genome, respectively. Merging these CNV sets for functional analysis resulted in 48 unique high confidence CNVR. The overlapping genes were previously related to embryonic mortality, environmental adaptation, evolutionary process, immune response, longevity, mammary gland, resistance to gastrointestinal parasites, and stimuli recognition, among others. Our results contribute to a better understanding of the Gir breed genome. Moreover, the CNV identified in this study can potentially affect genes related to complex traits, such as production, health, and reproduction.
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Affiliation(s)
- Larissa G Braga
- Departamento de Engenharia e Ciências Exatas, Universidade Estadual Paulista, Jaboticabal, São Paulo, Brazil
| | - Tatiane C S Chud
- Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, Ontario, Canada
| | - Rafael N Watanabe
- Departamento de Engenharia e Ciências Exatas, Universidade Estadual Paulista, Jaboticabal, São Paulo, Brazil
| | - Rodrigo P Savegnago
- Department of Animal Science, Michigan State University, East Lansing, Michigan, United States of America
| | - Thomaz M Sena
- Departamento de Engenharia e Ciências Exatas, Universidade Estadual Paulista, Jaboticabal, São Paulo, Brazil
| | - Adriana S do Carmo
- Departamento de Zootecnia, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | | | | | | | - Danísio P Munari
- Departamento de Engenharia e Ciências Exatas, Universidade Estadual Paulista, Jaboticabal, São Paulo, Brazil
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40
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Kaluscha S, Domcke S, Wirbelauer C, Stadler MB, Durdu S, Burger L, Schübeler D. Evidence that direct inhibition of transcription factor binding is the prevailing mode of gene and repeat repression by DNA methylation. Nat Genet 2022; 54:1895-1906. [PMID: 36471082 PMCID: PMC9729108 DOI: 10.1038/s41588-022-01241-6] [Citation(s) in RCA: 67] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 10/24/2022] [Indexed: 12/12/2022]
Abstract
Cytosine methylation efficiently silences CpG-rich regulatory regions of genes and repeats in mammalian genomes. To what extent this entails direct inhibition of transcription factor (TF) binding versus indirect inhibition via recruitment of methyl-CpG-binding domain (MBD) proteins is unclear. Here we show that combinatorial genetic deletions of all four proteins with functional MBDs in mouse embryonic stem cells, derived neurons or a human cell line do not reactivate genes or repeats with methylated promoters. These do, however, become activated by methylation-restricted TFs if DNA methylation is removed. We identify several causal TFs in neurons, including ONECUT1, which is methylation sensitive only at a motif variant. Rampantly upregulated retrotransposons in methylation-free neurons feature a CRE motif, which activates them in the absence of DNA methylation via methylation-sensitive binding of CREB1. Our study reveals methylation-sensitive TFs in vivo and argues that direct inhibition, rather than indirect repression by the tested MBD proteins, is the prevailing mechanism of methylation-mediated repression at regulatory regions and repeats.
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Affiliation(s)
- Sebastian Kaluscha
- Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
- University of Basel, Faculty of Sciences, Basel, Switzerland
| | - Silvia Domcke
- Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | | | - Michael B Stadler
- Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
- Swiss Institute of Bioinformatics, Basel, Switzerland
- University of Basel, Faculty of Sciences, Basel, Switzerland
| | - Sevi Durdu
- Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
| | - Lukas Burger
- Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
- Swiss Institute of Bioinformatics, Basel, Switzerland
| | - Dirk Schübeler
- Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland.
- University of Basel, Faculty of Sciences, Basel, Switzerland.
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41
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Villar S, Ariceta B, Agirre X, Urribarri AD, Ayala R, Martínez-Cuadrón D, Bergua JM, Vives S, Algarra L, Tormo M, Martínez P, Serrano J, Simoes C, Herrera P, Calasanz MJ, Alfonso-Piérola A, Paiva B, Martínez-López J, San Miguel JF, Prósper F, Montesinos P. The transcriptomic landscape of elderly acute myeloid leukemia identifies B7H3 and BANP as a favorable signature in high-risk patients. Front Oncol 2022; 12:1054458. [PMID: 36505804 PMCID: PMC9729799 DOI: 10.3389/fonc.2022.1054458] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 11/02/2022] [Indexed: 11/25/2022] Open
Abstract
Acute myeloid leukemia (AML) in the elderly remains a clinical challenge, with a five-year overall survival rate below 10%. The current ELN 2017 genetic risk classification considers cytogenetic and mutational characteristics to stratify fit AML patients into different prognostic groups. However, this classification is not validated for elderly patients treated with a non-intensive approach, and its performance may be suboptimal in this context. Indeed, the transcriptomic landscape of AML in the elderly has been less explored and it might help stratify this group of patients. In the current study, we analyzed the transcriptome of 224 AML patients > 65 years-old at diagnosis treated in the Spanish PETHEMA-FLUGAZA clinical trial in order to identify new prognostic biomarkers in this population. We identified a specific transcriptomic signature for high-risk patients with mutated TP53 or complex karyotype, revealing that low expression of B7H3 gene with high expression of BANP gene identifies a subset of high-risk AML patients surviving more than 12 months. This result was further validated in the BEAT AML cohort. This unique signature highlights the potential of transcriptomics to identify prognostic biomarkers in in elderly AML.
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Affiliation(s)
- Sara Villar
- Servicio de Hematología y Terapia Celular, Clínica Universidad de Navarra, Instituto de Investigación Sanitaria de Navarra (IDISNA), Pamplona, Spain,CIBERONC Centro de Investigación Biomédica en Red de Cáncer, Pamplona, Spain
| | - Beñat Ariceta
- CIBERONC Centro de Investigación Biomédica en Red de Cáncer, Pamplona, Spain,Centro de Investigación Médica Aplicada (CIMA) LAB Diagnostics, Universidad de Navarra, Pamplona, Spain,Program of Hematology-Oncology, CIMA, Universidad de Navarra, Pamplona, Spain
| | - Xabier Agirre
- CIBERONC Centro de Investigación Biomédica en Red de Cáncer, Pamplona, Spain,Program of Hematology-Oncology, CIMA, Universidad de Navarra, Pamplona, Spain
| | | | - Rosa Ayala
- Hospital Universitario 12 de octubre, Madrid, Spain
| | | | | | - Susana Vives
- ICO Badalona- Hospital Germans Trias i Pujol, Badalona, Spain
| | | | - Mar Tormo
- Hospital Clínico Universitario de Valencia, Valencia, Spain
| | | | - Josefina Serrano
- Hospital Universitario Reina Sofía, Córdoba, Instituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain
| | - Catia Simoes
- Program of Hematology-Oncology, CIMA, Universidad de Navarra, Pamplona, Spain
| | | | - Maria José Calasanz
- CIBERONC Centro de Investigación Biomédica en Red de Cáncer, Pamplona, Spain,Centro de Investigación Médica Aplicada (CIMA) LAB Diagnostics, Universidad de Navarra, Pamplona, Spain
| | - Ana Alfonso-Piérola
- Servicio de Hematología y Terapia Celular, Clínica Universidad de Navarra, Instituto de Investigación Sanitaria de Navarra (IDISNA), Pamplona, Spain,CIBERONC Centro de Investigación Biomédica en Red de Cáncer, Pamplona, Spain
| | - Bruno Paiva
- Servicio de Hematología y Terapia Celular, Clínica Universidad de Navarra, Instituto de Investigación Sanitaria de Navarra (IDISNA), Pamplona, Spain,CIBERONC Centro de Investigación Biomédica en Red de Cáncer, Pamplona, Spain,Centro de Investigación Médica Aplicada (CIMA) LAB Diagnostics, Universidad de Navarra, Pamplona, Spain
| | | | - Jesús F. San Miguel
- Servicio de Hematología y Terapia Celular, Clínica Universidad de Navarra, Instituto de Investigación Sanitaria de Navarra (IDISNA), Pamplona, Spain,CIBERONC Centro de Investigación Biomédica en Red de Cáncer, Pamplona, Spain
| | - Felipe Prósper
- Servicio de Hematología y Terapia Celular, Clínica Universidad de Navarra, Instituto de Investigación Sanitaria de Navarra (IDISNA), Pamplona, Spain,CIBERONC Centro de Investigación Biomédica en Red de Cáncer, Pamplona, Spain,*Correspondence: Felipe Prósper, ; Pau Montesinos,
| | - Pau Montesinos
- Hospital Universitario y Politécnico la Fe, Valencia, Spain,*Correspondence: Felipe Prósper, ; Pau Montesinos,
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Sheta R, Teixeira M, Idi W, Pierre M, de Rus Jacquet A, Emond V, Zorca CE, Vanderperre B, Durcan TM, Fon EA, Calon F, Chahine M, Oueslati A. Combining NGN2 programming and dopaminergic patterning for a rapid and efficient generation of hiPSC-derived midbrain neurons. Sci Rep 2022; 12:17176. [PMID: 36229560 PMCID: PMC9562300 DOI: 10.1038/s41598-022-22158-4] [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: 01/27/2022] [Accepted: 10/10/2022] [Indexed: 01/04/2023] Open
Abstract
The use of human derived induced pluripotent stem cells (hiPSCs) differentiated to dopaminergic (DA) neurons offers a valuable experimental model to decorticate the cellular and molecular mechanisms of Parkinson's disease (PD) pathogenesis. However, the existing approaches present with several limitations, notably the lengthy time course of the protocols and the high variability in the yield of DA neurons. Here we report on the development of an improved approach that combines neurogenin-2 programming with the use of commercially available midbrain differentiation kits for a rapid, efficient, and reproducible directed differentiation of hiPSCs to mature and functional induced DA (iDA) neurons, with minimum contamination by other brain cell types. Gene expression analysis, associated with functional characterization examining neurotransmitter release and electrical recordings, support the functional identity of the iDA neurons to A9 midbrain neurons. iDA neurons showed selective vulnerability when exposed to 6-hydroxydopamine, thus providing a viable in vitro approach for modeling PD and for the screening of small molecules with neuroprotective proprieties.
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Affiliation(s)
- Razan Sheta
- grid.411081.d0000 0000 9471 1794CHU de Québec Research Center, Axe Neurosciences, Quebec City, Canada ,grid.23856.3a0000 0004 1936 8390Department of Molecular Medicine, Faculty of Medicine, Université Laval, Quebec City, Canada
| | - Maxime Teixeira
- grid.411081.d0000 0000 9471 1794CHU de Québec Research Center, Axe Neurosciences, Quebec City, Canada ,grid.23856.3a0000 0004 1936 8390Department of Molecular Medicine, Faculty of Medicine, Université Laval, Quebec City, Canada
| | - Walid Idi
- grid.411081.d0000 0000 9471 1794CHU de Québec Research Center, Axe Neurosciences, Quebec City, Canada ,grid.23856.3a0000 0004 1936 8390Department of Molecular Medicine, Faculty of Medicine, Université Laval, Quebec City, Canada
| | - Marion Pierre
- grid.23856.3a0000 0004 1936 8390CERVO Brain Research Center, 2601, rue de La Canardière, Quebec City, Canada
| | - Aurelie de Rus Jacquet
- grid.411081.d0000 0000 9471 1794CHU de Québec Research Center, Axe Neurosciences, Quebec City, Canada ,grid.23856.3a0000 0004 1936 8390Department of Psychiatry and Neurosciences, Faculty of Medicine, Université Laval, Quebec City, Canada
| | - Vincent Emond
- grid.411081.d0000 0000 9471 1794CHU de Québec Research Center, Axe Neurosciences, Quebec City, Canada
| | - Cornelia E. Zorca
- grid.14709.3b0000 0004 1936 8649McGill Parkinson Program and Neurodegenerative Diseases Group, Montreal Neurological Institute, McGill University, Montreal, Canada ,grid.14709.3b0000 0004 1936 8649The Neuro’s Early Drug Discovery Unit (EDDU), Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Benoît Vanderperre
- grid.38678.320000 0001 2181 0211Département des sciences biologiques, Université du Québec à Montréal, Montreal, QC Canada ,Centre d’Excellence en Recherche sur les Maladies Orphelines – Fondation Courtois (CERMO-FC), Montreal, Canada
| | - Thomas M. Durcan
- grid.14709.3b0000 0004 1936 8649McGill Parkinson Program and Neurodegenerative Diseases Group, Montreal Neurological Institute, McGill University, Montreal, Canada ,grid.14709.3b0000 0004 1936 8649The Neuro’s Early Drug Discovery Unit (EDDU), Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Edward A. Fon
- grid.14709.3b0000 0004 1936 8649McGill Parkinson Program and Neurodegenerative Diseases Group, Montreal Neurological Institute, McGill University, Montreal, Canada ,grid.14709.3b0000 0004 1936 8649The Neuro’s Early Drug Discovery Unit (EDDU), Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Frédéric Calon
- grid.411081.d0000 0000 9471 1794CHU de Québec Research Center, Axe Neurosciences, Quebec City, Canada ,grid.23856.3a0000 0004 1936 8390Faculty of Pharmacy, Université Laval, Quebec City, Canada
| | - Mohamed Chahine
- grid.23856.3a0000 0004 1936 8390CERVO Brain Research Center, 2601, rue de La Canardière, Quebec City, Canada ,grid.23856.3a0000 0004 1936 8390Department of Medicine, Faculty of Medicine, Université Laval, Quebec City, Canada
| | - Abid Oueslati
- grid.411081.d0000 0000 9471 1794CHU de Québec Research Center, Axe Neurosciences, Quebec City, Canada ,grid.23856.3a0000 0004 1936 8390Department of Molecular Medicine, Faculty of Medicine, Université Laval, Quebec City, Canada
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Babu S, Takeuchi Y, Masai I. Banp regulates DNA damage response and chromosome segregation during the cell cycle in zebrafish retina. eLife 2022; 11:74611. [PMID: 35942692 PMCID: PMC9363121 DOI: 10.7554/elife.74611] [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: 10/11/2021] [Accepted: 07/05/2022] [Indexed: 11/25/2022] Open
Abstract
Btg3-associated nuclear protein (Banp) was originally identified as a nuclear matrix-associated region (MAR)-binding protein and it functions as a tumor suppressor. At the molecular level, Banp regulates transcription of metabolic genes via a CGCG-containing motif called the Banp motif. However, its physiological roles in embryonic development are unknown. Here, we report that Banp is indispensable for the DNA damage response and chromosome segregation during mitosis. Zebrafish banp mutants show mitotic cell accumulation and apoptosis in developing retina. We found that DNA replication stress and tp53-dependent DNA damage responses were activated to induce apoptosis in banp mutants, suggesting that Banp is required for regulation of DNA replication and DNA damage repair. Furthermore, consistent with mitotic cell accumulation, chromosome segregation was not smoothly processed from prometaphase to anaphase in banp morphants, leading to a prolonged M-phase. Our RNA- and ATAC-sequencing identified 31 candidates for direct Banp target genes that carry the Banp motif. Interestingly, a DNA replication fork regulator, wrnip1, and two chromosome segregation regulators, cenpt and ncapg, are included in this list. Thus, Banp directly regulates transcription of wrnip1 for recovery from DNA replication stress, and cenpt and ncapg for chromosome segregation during mitosis. Our findings provide the first in vivo evidence that Banp is required for cell-cycle progression and cell survival by regulating DNA damage responses and chromosome segregation during mitosis. In order for a cell to divide, it must progress through a series of carefully controlled steps known as the cell cycle. First, the cell replicates its DNA and both copies get segregated to opposite ends. The cell then splits into two and each new cell receives a copy of the duplicated genetic material. If any of the stages in the cell cycle become disrupted or mis-regulated this can lead to uncontrolled divisions that may result in cancer. Researchers have often used a structure within the eye known as the retina to study the cell cycle in zebrafish and other animals as cells in the retina rapidly divide in a highly controlled manner. A protein called Banp is known to help stop tumors from growing in humans and mice, but its normal role in the body, particularly the cell cycle, has remained unclear. To investigate, Babu et al. studied the retina of mutant zebrafish that were unable to make the Banp protein. The experiments revealed that two stress responses indicating DNA damage or defects in copying DNA were active in the retinal cells of the mutant zebrafish. This suggested that Banp allows cell to progress through the cell cycle by repairing any DNA damage that may arise during replication. Banp does this by activating the gene for another protein called Wrnip1. Babu et al. also found that Banp helps segregate the two copies of DNA during cell division by promoting the activation of two other proteins called Cenpt and Ncapg. Further experiments identified 31 genes that were directly regulated by Banp. These findings demonstrate that Banp is required for zebrafish cells to be able to accurately copy their DNA and divide in to two new cells. In the future, the work of Babu et al. will provide a useful resource to investigate how tumors grow and spread around the body, and may contribute to the development of new treatments for cancer.
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Affiliation(s)
- Swathy Babu
- Developmental Neurobiology Unit, Okinawa Institute of Science and Technology Graduate University, Onna, Japan
| | - Yuki Takeuchi
- Developmental Neurobiology Unit, Okinawa Institute of Science and Technology Graduate University, Onna, Japan
| | - Ichiro Masai
- Developmental Neurobiology Unit, Okinawa Institute of Science and Technology Graduate University, Onna, Japan
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44
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Isbel L, Grand RS, Schübeler D. Generating specificity in genome regulation through transcription factor sensitivity to chromatin. Nat Rev Genet 2022; 23:728-740. [PMID: 35831531 DOI: 10.1038/s41576-022-00512-6] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/30/2022] [Indexed: 12/11/2022]
Abstract
Cell type-specific gene expression relies on transcription factors (TFs) binding DNA sequence motifs embedded in chromatin. Understanding how motifs are accessed in chromatin is crucial to comprehend differential transcriptional responses and the phenotypic impact of sequence variation. Chromatin obstacles to TF binding range from DNA methylation to restriction of DNA access by nucleosomes depending on their position, composition and modification. In vivo and in vitro approaches now enable the study of TF binding in chromatin at unprecedented resolution. Emerging insights suggest that TFs vary in their ability to navigate chromatin states. However, it remains challenging to link binding and transcriptional outcomes to molecular characteristics of TFs or the local chromatin substrate. Here, we discuss our current understanding of how TFs access DNA in chromatin and novel techniques and directions towards a better understanding of this critical step in genome regulation.
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Affiliation(s)
- Luke Isbel
- Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland.,School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Ralph S Grand
- Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland.,Zentrum für Molekulare Biologie der Universität Heidelberg, Heidelberg, Germany
| | - Dirk Schübeler
- Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland. .,Faculty of Sciences, University of Basel, Basel, Switzerland.
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45
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Mattei AL, Bailly N, Meissner A. DNA methylation: a historical perspective. Trends Genet 2022; 38:676-707. [DOI: 10.1016/j.tig.2022.03.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 03/14/2022] [Accepted: 03/15/2022] [Indexed: 10/18/2022]
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46
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Zhang J, Zhang Y, You Q, Huang C, Zhang T, Wang M, Zhang T, Yang X, Xiong J, Li Y, Liu CP, Zhang Z, Xu RM, Zhu B. Highly enriched BEND3 prevents the premature activation of bivalent genes during differentiation. Science 2022; 375:1053-1058. [PMID: 35143257 DOI: 10.1126/science.abm0730] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Bivalent genes are ready for activation upon the arrival of developmental cues. Here, we report that BEND3 is a CpG island (CGI)-binding protein that is enriched at regulatory elements. The cocrystal structure of BEND3 in complex with its target DNA reveals the structural basis for its DNA methylation-sensitive binding property. Mouse embryos ablated of Bend3 died at the pregastrulation stage. Bend3 null embryonic stem cells (ESCs) exhibited severe defects in differentiation, during which hundreds of CGI-containing bivalent genes were prematurely activated. BEND3 is required for the stable association of polycomb repressive complex 2 (PRC2) at bivalent genes that are highly occupied by BEND3, which suggests a reining function of BEND3 in maintaining high levels of H3K27me3 at these bivalent genes in ESCs to prevent their premature activation in the forthcoming developmental stage.
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Affiliation(s)
- Jing Zhang
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Yan Zhang
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Qinglong You
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China.,College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Chang Huang
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Tiantian Zhang
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Mingzhu Wang
- Institutes of Physical Science and Information Technology, Anhui University, Hefei 230601, Anhui, China
| | - Tianwei Zhang
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Xiaocheng Yang
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China.,College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jun Xiong
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Yingfeng Li
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Chao-Pei Liu
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Zhuqiang Zhang
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Rui-Ming Xu
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China.,College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Bing Zhu
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China.,College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
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47
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Kitazawa S, Ohno T, Haraguchi R, Kitazawa R. Histochemistry, Cytochemistry and Epigenetics. Acta Histochem Cytochem 2022; 55:1-7. [PMID: 35444348 PMCID: PMC8913277 DOI: 10.1267/ahc.21-00095] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Accepted: 12/27/2021] [Indexed: 12/23/2022] Open
Abstract
Over the past few decades, many researchers have individually identified tumor-related genes, and have accumulated information on their basic research in a database. With the development of technology that can comprehensively test the expression status within a short time, oncogene panel testing has become attainable. On the other hand, changes in gene expression that do not depend on changes in base sequences, that is, epigenetics, or more comprehensively, epigenomes, are also highly involved in the development and progression of disease. Oncogene panel tests tend to focus on DNA base mutations such as point mutations, deletions, duplications, and chimera formation. Elucidation leads to correct interpretation of diseases and treatment choices, and we are in an era where integrated understanding of the genome and epigenome is indispensable. In this review, we make every effort to cover a wide range of knowledge, including data on histone protein modification, non-coding (nc)RNA and DNA methylation, and recent application trials for demonstrating epigenetic alterations in histologic and cytologic specimens. We hope this review will help marshal the knowledge accumulated by researchers involved in genomic and epigenomic studies.
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Affiliation(s)
- Sohei Kitazawa
- Department of Molecular Pathology, Ehime University Graduate School of Medicine
| | - Teruyuki Ohno
- Division of Diagnostic Pathology, Ehime University Hospital
| | - Ryuma Haraguchi
- Department of Molecular Pathology, Ehime University Graduate School of Medicine
| | - Riko Kitazawa
- Division of Diagnostic Pathology, Ehime University Hospital
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48
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Abstract
DNA can determine where and when genes are expressed, but the full set of sequence determinants that control gene expression is unknown. Here, we measured the transcriptional activity of DNA sequences that represent an ~100 times larger sequence space than the human genome using massively parallel reporter assays (MPRAs). Machine learning models revealed that transcription factors (TFs) generally act in an additive manner with weak grammar and that most enhancers increase expression from a promoter by a mechanism that does not appear to involve specific TF–TF interactions. The enhancers themselves can be classified into three types: classical, closed chromatin and chromatin dependent. We also show that few TFs are strongly active in a cell, with most activities being similar between cell types. Individual TFs can have multiple gene regulatory activities, including chromatin opening and enhancing, promoting and determining transcription start site (TSS) activity, consistent with the view that the TF binding motif is the key atomic unit of gene expression. Analysis of massively parallel reporter assays measuring the transcriptional activity of DNA sequences indicates that most transcription factor (TF) activity is additive and does not rely on specific TF–TF interactions. Individual TFs can have different gene regulatory activities.
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49
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Zhang H, Romero H, Schmidt A, Gagova K, Qin W, Bertulat B, Lehmkuhl A, Milden M, Eck M, Meckel T, Leonhardt H, Cardoso MC. MeCP2-induced heterochromatin organization is driven by oligomerization-based liquid–liquid phase separation and restricted by DNA methylation. Nucleus 2022; 13:1-34. [PMID: 35156529 PMCID: PMC8855868 DOI: 10.1080/19491034.2021.2024691] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Affiliation(s)
- Hui Zhang
- Department of Biology, Technical University of Darmstadt, Darmstadt, Germany
| | - Hector Romero
- Department of Biology, Technical University of Darmstadt, Darmstadt, Germany
| | - Annika Schmidt
- Department of Biology, Technical University of Darmstadt, Darmstadt, Germany
| | - Katalina Gagova
- Department of Biology, Technical University of Darmstadt, Darmstadt, Germany
| | - Weihua Qin
- Faculty of Biology, Ludwig Maximilians University Munich, Munich, Germany
| | - Bianca Bertulat
- Department of Biology, Technical University of Darmstadt, Darmstadt, Germany
| | - Anne Lehmkuhl
- Department of Biology, Technical University of Darmstadt, Darmstadt, Germany
| | - Manuela Milden
- Department of Biology, Technical University of Darmstadt, Darmstadt, Germany
| | - Malte Eck
- Department of Biology, Technical University of Darmstadt, Darmstadt, Germany
| | - Tobias Meckel
- Department of Chemistry, Technical University of Darmstadt, Darmstadt, Germany
| | - Heinrich Leonhardt
- Faculty of Biology, Ludwig Maximilians University Munich, Munich, Germany
| | - M. Cristina Cardoso
- Department of Biology, Technical University of Darmstadt, Darmstadt, Germany
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50
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Zheng L, Liu J, Niu L, Kamran M, Yang AWH, Jolma A, Dai Q, Hughes TR, Patel DJ, Zhang L, Prasanth SG, Yu Y, Ren A, Lai EC. Distinct structural bases for sequence-specific DNA binding by mammalian BEN domain proteins. Genes Dev 2022; 36:225-240. [PMID: 35144965 PMCID: PMC8887127 DOI: 10.1101/gad.348993.121] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Accepted: 01/05/2022] [Indexed: 11/24/2022]
Abstract
The BEN domain is a recently recognized DNA binding module that is present in diverse metazoans and certain viruses. Several BEN domain factors are known as transcriptional repressors, but, overall, relatively little is known of how BEN factors identify their targets in humans. In particular, X-ray structures of BEN domain:DNA complexes are only known for Drosophila factors bearing a single BEN domain, which lack direct vertebrate orthologs. Here, we characterize several mammalian BEN domain (BD) factors, including from two NACC family BTB-BEN proteins and from BEND3, which has four BDs. In vitro selection data revealed sequence-specific binding activities of isolated BEN domains from all of these factors. We conducted detailed functional, genomic, and structural studies of BEND3. We show that BD4 is a major determinant for in vivo association and repression of endogenous BEND3 targets. We obtained a high-resolution structure of BEND3-BD4 bound to its preferred binding site, which reveals how BEND3 identifies cognate DNA targets and shows differences with one of its non-DNA-binding BEN domains (BD1). Finally, comparison with our previous invertebrate BEN structures, along with additional structural predictions using AlphaFold2 and RoseTTAFold, reveal distinct strategies for target DNA recognition by different types of BEN domain proteins. Together, these studies expand the DNA recognition activities of BEN factors and provide structural insights into sequence-specific DNA binding by mammalian BEN proteins.
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Affiliation(s)
- Luqian Zheng
- The Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen, Guangdong 518033, China
- Life Sciences Institute, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Jingjing Liu
- State Key Laboratory of Medical Molecular Biology, Department of Molecular Biology and Biochemistry, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing 100005, China
| | - Lijie Niu
- State Key Laboratory of Medical Molecular Biology, Department of Molecular Biology and Biochemistry, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing 100005, China
| | - Mohammad Kamran
- Department of Cell and Developmental Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - Ally W H Yang
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 1A1, Canada
- Donnelly Centre, University of Toronto, Toronto, Ontario M5S 1A1, Canada
| | - Arttu Jolma
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 1A1, Canada
- Donnelly Centre, University of Toronto, Toronto, Ontario M5S 1A1, Canada
| | - Qi Dai
- Developmental Biology Program, Sloan Kettering Institute, New York, New York 10065, USA
| | - Timothy R Hughes
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 1A1, Canada
- Donnelly Centre, University of Toronto, Toronto, Ontario M5S 1A1, Canada
| | - Dinshaw J Patel
- Structural Biology Program, Sloan Kettering Institute, New York, New York 10065, USA
| | - Long Zhang
- The Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen, Guangdong 518033, China
- Life Sciences Institute, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Supriya G Prasanth
- Department of Cell and Developmental Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - 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, School of Basic Medicine, Peking Union Medical College, Beijing 100005, China
- Developmental Biology Program, Sloan Kettering Institute, New York, New York 10065, USA
| | - Aiming Ren
- Life Sciences Institute, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Eric C Lai
- Developmental Biology Program, Sloan Kettering Institute, New York, New York 10065, USA
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