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Choudhury R, Venkateswaran Venkatasubramani A, Hua J, Borsò M, Franconi C, Kinkley S, Forné I, Imhof A. The role of RNA in the maintenance of chromatin domains as revealed by antibody-mediated proximity labelling coupled to mass spectrometry. eLife 2024; 13:e95718. [PMID: 38717135 PMCID: PMC11147508 DOI: 10.7554/elife.95718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Accepted: 04/26/2024] [Indexed: 06/04/2024] Open
Abstract
Eukaryotic chromatin is organized into functional domains, that are characterized by distinct proteomic compositions and specific nuclear positions. In contrast to cellular organelles surrounded by lipid membranes, the composition of distinct chromatin domains is rather ill described and highly dynamic. To gain molecular insight into these domains and explore their composition, we developed an antibody-based proximity biotinylation method targeting the RNA and proteins constituents. The method that we termed antibody-mediated proximity labelling coupled to mass spectrometry (AMPL-MS) does not require the expression of fusion proteins and therefore constitutes a versatile and very sensitive method to characterize the composition of chromatin domains based on specific signature proteins or histone modifications. To demonstrate the utility of our approach we used AMPL-MS to characterize the molecular features of the chromocenter as well as the chromosome territory containing the hyperactive X chromosome in Drosophila. This analysis identified a number of known RNA-binding proteins in proximity of the hyperactive X and the centromere, supporting the accuracy of our method. In addition, it enabled us to characterize the role of RNA in the formation of these nuclear bodies. Furthermore, our method identified a new set of RNA molecules associated with the Drosophila centromere. Characterization of these novel molecules suggested the formation of R-loops in centromeres, which we validated using a novel probe for R-loops in Drosophila. Taken together, AMPL-MS improves the selectivity and specificity of proximity ligation allowing for novel discoveries of weak protein-RNA interactions in biologically diverse domains.
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Affiliation(s)
- Rupam Choudhury
- Department of Molecular Biology, Biomedical Center Munich, Ludwig-Maximilians UniversityPlanegg-MartinsriedGermany
| | - Anuroop Venkateswaran Venkatasubramani
- Department of Molecular Biology, Biomedical Center Munich, Ludwig-Maximilians UniversityPlanegg-MartinsriedGermany
- Graduate School of Quantitative Biosciences (QBM), Ludwig-Maximilians-Universität MünchenMunichGermany
| | - Jie Hua
- Department of Molecular Biology, Biomedical Center Munich, Ludwig-Maximilians UniversityPlanegg-MartinsriedGermany
| | - Marco Borsò
- Protein Analysis Unit, Biomedical Center (BMC), Faculty of Medicine, Ludwig-Maximilians, University (LMU) MunichPlanegg-MartinsriedGermany
| | - Celeste Franconi
- Chromatin Structure and Function group, Department of Computational Molecular Biology, Max Planck Institute for Molecular GeneticsBerlinGermany
| | - Sarah Kinkley
- Chromatin Structure and Function group, Department of Computational Molecular Biology, Max Planck Institute for Molecular GeneticsBerlinGermany
| | - Ignasi Forné
- Protein Analysis Unit, Biomedical Center (BMC), Faculty of Medicine, Ludwig-Maximilians, University (LMU) MunichPlanegg-MartinsriedGermany
| | - Axel Imhof
- Department of Molecular Biology, Biomedical Center Munich, Ludwig-Maximilians UniversityPlanegg-MartinsriedGermany
- Protein Analysis Unit, Biomedical Center (BMC), Faculty of Medicine, Ludwig-Maximilians, University (LMU) MunichPlanegg-MartinsriedGermany
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2
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Ogienko AA, Korepina MO, Pindyurin AV, Omelina ES. New Functional Motifs for the Targeted Localization of Proteins to the Nucleolus in Drosophila and Human Cells. Int J Mol Sci 2024; 25:1230. [PMID: 38279227 PMCID: PMC10817092 DOI: 10.3390/ijms25021230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 01/15/2024] [Accepted: 01/17/2024] [Indexed: 01/28/2024] Open
Abstract
The nucleolus is a significant nuclear organelle that is primarily known for its role in ribosome biogenesis. However, emerging evidence suggests that the nucleolus may have additional functions. Particularly, it is involved in the organization of the three-dimensional structure of the genome. The nucleolus acts as a platform for the clustering of repressed chromatin, although this process is not yet fully understood, especially in the context of Drosophila. One way to study the regions of the genome that cluster near the nucleolus in Drosophila demands the identification of a reliable nucleolus-localizing signal (NoLS) motif(s) that can highly specifically recruit the protein of interest to the nucleolus. Here, we tested a series of various NoLS motifs from proteins of different species, as well as some of their combinations, for the ability to drive the nucleolar localization of the chimeric H2B-GFP protein. Several short motifs were found to effectively localize the H2B-GFP protein to the nucleolus in over 40% of transfected Drosophila S2 cells. Furthermore, it was demonstrated that NoLS motifs derived from Drosophila proteins exhibited greater efficiency compared to that of those from other species.
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Affiliation(s)
- Anna A. Ogienko
- Institute of Molecular and Cellular Biology, Siberian Branch of the Russian Academy of Sciences, Novosibirsk 630090, Russia
| | | | | | - Evgeniya S. Omelina
- Institute of Molecular and Cellular Biology, Siberian Branch of the Russian Academy of Sciences, Novosibirsk 630090, Russia
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3
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Shah PP, Keough KC, Gjoni K, Santini GT, Abdill RJ, Wickramasinghe NM, Dundes CE, Karnay A, Chen A, Salomon REA, Walsh PJ, Nguyen SC, Whalen S, Joyce EF, Loh KM, Dubois N, Pollard KS, Jain R. An atlas of lamina-associated chromatin across twelve human cell types reveals an intermediate chromatin subtype. Genome Biol 2023; 24:16. [PMID: 36691074 PMCID: PMC9869549 DOI: 10.1186/s13059-023-02849-5] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Accepted: 01/05/2023] [Indexed: 01/25/2023] Open
Abstract
BACKGROUND Association of chromatin with lamin proteins at the nuclear periphery has emerged as a potential mechanism to coordinate cell type-specific gene expression and maintain cellular identity via gene silencing. Unlike many histone modifications and chromatin-associated proteins, lamina-associated domains (LADs) are mapped genome-wide in relatively few genetically normal human cell types, which limits our understanding of the role peripheral chromatin plays in development and disease. RESULTS To address this gap, we map LAMIN B1 occupancy across twelve human cell types encompassing pluripotent stem cells, intermediate progenitors, and differentiated cells from all three germ layers. Integrative analyses of this atlas with gene expression and repressive histone modification maps reveal that lamina-associated chromatin in all twelve cell types is organized into at least two subtypes defined by differences in LAMIN B1 occupancy, gene expression, chromatin accessibility, transposable elements, replication timing, and radial positioning. Imaging of fluorescently labeled DNA in single cells validates these subtypes and shows radial positioning of LADs with higher LAMIN B1 occupancy and heterochromatic histone modifications primarily embedded within the lamina. In contrast, the second subtype of lamina-associated chromatin is relatively gene dense, accessible, dynamic across development, and positioned adjacent to the lamina. Most genes gain or lose LAMIN B1 occupancy consistent with cell types along developmental trajectories; however, we also identify examples where the enhancer, but not the gene body and promoter, changes LAD state. CONCLUSIONS Altogether, this atlas represents the largest resource to date for peripheral chromatin organization studies and reveals an intermediate chromatin subtype.
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Affiliation(s)
- Parisha P Shah
- Departments of Medicine and Cell and Developmental Biology, Penn CVI, Penn Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Smilow TRC, 3400 Civic Center Blvd, Philadelphia, PA, 19104, USA
| | - Kathleen C Keough
- University of California, San Francisco, CA, 94117, USA
- Gladstone Institute of Data Science and Biotechnology, 1650 Owens Street, San Francisco, CA, 94158, USA
| | - Ketrin Gjoni
- University of California, San Francisco, CA, 94117, USA
- Gladstone Institute of Data Science and Biotechnology, 1650 Owens Street, San Francisco, CA, 94158, USA
| | - Garrett T Santini
- Departments of Medicine and Cell and Developmental Biology, Penn CVI, Penn Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Smilow TRC, 3400 Civic Center Blvd, Philadelphia, PA, 19104, USA
| | - Richard J Abdill
- Departments of Medicine and Cell and Developmental Biology, Penn CVI, Penn Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Smilow TRC, 3400 Civic Center Blvd, Philadelphia, PA, 19104, USA
| | - Nadeera M Wickramasinghe
- Department of Cell, Developmental and Regenerative Biology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Carolyn E Dundes
- Department of Developmental Biology and Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Ashley Karnay
- Departments of Medicine and Cell and Developmental Biology, Penn CVI, Penn Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Smilow TRC, 3400 Civic Center Blvd, Philadelphia, PA, 19104, USA
| | - Angela Chen
- Department of Developmental Biology and Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Rachel E A Salomon
- Department of Developmental Biology and Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Patrick J Walsh
- Department of Genetics, Penn Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Son C Nguyen
- Department of Genetics, Penn Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Sean Whalen
- Gladstone Institute of Data Science and Biotechnology, 1650 Owens Street, San Francisco, CA, 94158, USA
| | - Eric F Joyce
- Department of Genetics, Penn Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Kyle M Loh
- Department of Developmental Biology and Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Nicole Dubois
- Department of Cell, Developmental and Regenerative Biology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Katherine S Pollard
- University of California, San Francisco, CA, 94117, USA.
- Gladstone Institute of Data Science and Biotechnology, 1650 Owens Street, San Francisco, CA, 94158, USA.
- Chan Zuckerberg Biohub, San Francisco, CA, 94158, USA.
| | - Rajan Jain
- Departments of Medicine and Cell and Developmental Biology, Penn CVI, Penn Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Smilow TRC, 3400 Civic Center Blvd, Philadelphia, PA, 19104, USA.
- Smilow TRC, 3400 Civic Center Blvd, Philadelphia, PA, 19104, USA.
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4
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Lukacs A, Thomae AW, Krueger P, Schauer T, Venkatasubramani AV, Kochanova NY, Aftab W, Choudhury R, Forne I, Imhof A. The Integrity of the HMR complex is necessary for centromeric binding and reproductive isolation in Drosophila. PLoS Genet 2021; 17:e1009744. [PMID: 34424906 PMCID: PMC8412352 DOI: 10.1371/journal.pgen.1009744] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 09/02/2021] [Accepted: 07/27/2021] [Indexed: 12/26/2022] Open
Abstract
Postzygotic isolation by genomic conflict is a major cause for the formation of species. Despite its importance, the molecular mechanisms that result in the lethality of interspecies hybrids are still largely unclear. The genus Drosophila, which contains over 1600 different species, is one of the best characterized model systems to study these questions. We showed in the past that the expression levels of the two hybrid incompatibility factors Hmr and Lhr diverged in the two closely related Drosophila species, D. melanogaster and D. simulans, resulting in an increased level of both proteins in interspecies hybrids. The overexpression of the two proteins also leads to mitotic defects, a misregulation in the expression of transposable elements and decreased fertility in pure species. In this work, we describe a distinct six subunit protein complex containing HMR and LHR and analyse the effect of Hmr mutations on complex integrity and function. Our experiments suggest that HMR needs to bring together components of centromeric and pericentromeric chromatin to fulfil its physiological function and to cause hybrid male lethality. A major cause of biological speciation is the sterility and/or lethality of hybrids. This hybrid lethality is thought to be the consequence of two incompatible genomes of the two different species. We used the fruit fly Drosophila melanogaster as a model system to isolate a defined protein complex, which mediates this hybrid lethality. Our data suggest that this complex containing six subunits has evolved in one Drosophila species (Drosophila melanogaster) to bring together components of centromeric and pericentromeric chromatin. We show that the integrity of the complex is necessary for its genomic binding patterns and its ability to maintain fertility in female Drosophila melanogaster flies. Hybrid males between Drosophila melanogaster and the very closely related species Drosophila simulans die because they contain elevated levels of this complex. These high levels result in mitotic defects and a misregulation in the expression of transposable elements in those hybrids. Our results show that mutations that interfere with the complex’s function in Drosophila melanogaster also fail to induce lethality in hybrids suggesting that its evolutionary acquired functions in one species induce lethality in interspecies hybrids.
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Affiliation(s)
- Andrea Lukacs
- Biomedical Center, Chromatin Proteomics Group, Department of Molecular Biology, Faculty of Medicine, Ludwig-Maximilians-Universität München, Planegg-Martinsried, Germany
- Graduate School of Quantitative Biosciences (QBM), Ludwig-Maximilians-Universität München, Munich, Germany
| | - Andreas W. Thomae
- Biomedical Center, Core Facility Bioimaging, Faculty of Medicine, Ludwig-Maximilians-Universität München, Planegg-Martinsried, Germany
| | - Peter Krueger
- Biomedical Center, Chromatin Proteomics Group, Department of Molecular Biology, Faculty of Medicine, Ludwig-Maximilians-Universität München, Planegg-Martinsried, Germany
| | - Tamas Schauer
- Biomedical Center, Bioinformatics Unit, Faculty of Medicine, Ludwig-Maximilians-Universität München, Planegg-Martinsried, Germany
| | - Anuroop V. Venkatasubramani
- Biomedical Center, Chromatin Proteomics Group, Department of Molecular Biology, Faculty of Medicine, Ludwig-Maximilians-Universität München, Planegg-Martinsried, Germany
- Graduate School of Quantitative Biosciences (QBM), Ludwig-Maximilians-Universität München, Munich, Germany
| | - Natalia Y. Kochanova
- Biomedical Center, Chromatin Proteomics Group, Department of Molecular Biology, Faculty of Medicine, Ludwig-Maximilians-Universität München, Planegg-Martinsried, Germany
- Graduate School of Quantitative Biosciences (QBM), Ludwig-Maximilians-Universität München, Munich, Germany
| | - Wasim Aftab
- Graduate School of Quantitative Biosciences (QBM), Ludwig-Maximilians-Universität München, Munich, Germany
- Biomedical Center, Protein Analysis Unit, Faculty of Medicine, Ludwig-Maximilians-Universität München, Planegg-Martinsried, Germany
| | - Rupam Choudhury
- Biomedical Center, Chromatin Proteomics Group, Department of Molecular Biology, Faculty of Medicine, Ludwig-Maximilians-Universität München, Planegg-Martinsried, Germany
| | - Ignasi Forne
- Biomedical Center, Protein Analysis Unit, Faculty of Medicine, Ludwig-Maximilians-Universität München, Planegg-Martinsried, Germany
| | - Axel Imhof
- Biomedical Center, Chromatin Proteomics Group, Department of Molecular Biology, Faculty of Medicine, Ludwig-Maximilians-Universität München, Planegg-Martinsried, Germany
- Biomedical Center, Protein Analysis Unit, Faculty of Medicine, Ludwig-Maximilians-Universität München, Planegg-Martinsried, Germany
- * E-mail:
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5
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Aughey GN, Delandre C, McMullen JPD, Southall TD, Marshall OJ. FlyORF-TaDa allows rapid generation of new lines for in vivo cell-type-specific profiling of protein-DNA interactions in Drosophila melanogaster. G3-GENES GENOMES GENETICS 2021; 11:6044134. [PMID: 33561239 PMCID: PMC8022459 DOI: 10.1093/g3journal/jkaa005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Accepted: 11/07/2020] [Indexed: 12/01/2022]
Abstract
Targeted DamID (TaDa) is an increasingly popular method of generating cell-type-specific DNA-binding profiles in vivo. Although sensitive and versatile, TaDa requires the generation of new transgenic fly lines for every protein that is profiled, which is both time-consuming and costly. Here, we describe the FlyORF-TaDa system for converting an existing FlyORF library of inducible open reading frames (ORFs) to TaDa lines via a genetic cross, with recombinant progeny easily identifiable by eye color. Profiling the binding of the H3K36me3-associated chromatin protein MRG15 in larval neural stem cells using both FlyORF-TaDa and conventional TaDa demonstrates that new lines generated using this system provide accurate and highly reproducible DamID-binding profiles. Our data further show that MRG15 binds to a subset of active chromatin domains in vivo. Courtesy of the large coverage of the FlyORF library, the FlyORF-TaDa system enables the easy creation of TaDa lines for 74% of all transcription factors and chromatin-modifying proteins within the Drosophila genome.
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Affiliation(s)
- Gabriel N Aughey
- Imperial College London, Sir Ernst Chain Building, South Kensington Campus, London SW7 2AZ, UK
| | - Caroline Delandre
- Menzies Institute for Medical Research, University of Tasmania, 17 Liverpool St, Hobart 7000, Australia
| | - John P D McMullen
- Menzies Institute for Medical Research, University of Tasmania, 17 Liverpool St, Hobart 7000, Australia
| | - Tony D Southall
- Imperial College London, Sir Ernst Chain Building, South Kensington Campus, London SW7 2AZ, UK
| | - Owen J Marshall
- Menzies Institute for Medical Research, University of Tasmania, 17 Liverpool St, Hobart 7000, Australia
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6
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Meyer-Nava S, Nieto-Caballero VE, Zurita M, Valadez-Graham V. Insights into HP1a-Chromatin Interactions. Cells 2020; 9:E1866. [PMID: 32784937 PMCID: PMC7465937 DOI: 10.3390/cells9081866] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 07/18/2020] [Accepted: 07/21/2020] [Indexed: 12/17/2022] Open
Abstract
Understanding the packaging of DNA into chromatin has become a crucial aspect in the study of gene regulatory mechanisms. Heterochromatin establishment and maintenance dynamics have emerged as some of the main features involved in genome stability, cellular development, and diseases. The most extensively studied heterochromatin protein is HP1a. This protein has two main domains, namely the chromoshadow and the chromodomain, separated by a hinge region. Over the years, several works have taken on the task of identifying HP1a partners using different strategies. In this review, we focus on describing these interactions and the possible complexes and subcomplexes associated with this critical protein. Characterization of these complexes will help us to clearly understand the implications of the interactions of HP1a in heterochromatin maintenance, heterochromatin dynamics, and heterochromatin's direct relationship to gene regulation and chromatin organization.
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Affiliation(s)
| | | | | | - Viviana Valadez-Graham
- Instituto de Biotecnología, Departamento de Genética del Desarrollo y Fisiología Molecular, Universidad Nacional Autónoma de México, Cuernavaca Morelos 62210, Mexico; (S.M.-N.); (V.E.N.-C.); (M.Z.)
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7
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Flint Brodsly N, Bitman-Lotan E, Boico O, Shafat A, Monastirioti M, Gessler M, Delidakis C, Rincon-Arano H, Orian A. The transcription factor Hey and nuclear lamins specify and maintain cell identity. eLife 2019; 8:44745. [PMID: 31310235 PMCID: PMC6634966 DOI: 10.7554/elife.44745] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2018] [Accepted: 07/03/2019] [Indexed: 12/12/2022] Open
Abstract
The inability of differentiated cells to maintain their identity is a hallmark of age-related diseases. We found that the transcription factor Hey supervises the identity of differentiated enterocytes (ECs) in the adult Drosophila midgut. Lineage tracing established that Hey-deficient ECs are unable to maintain their unique nuclear organization and identity. To supervise cell identity, Hey determines the expression of nuclear lamins, switching from a stem-cell lamin configuration to a differentiated lamin configuration. Moreover, continued Hey expression is required to conserve large-scale nuclear organization. During aging, Hey levels decline, and EC identity and gut homeostasis are impaired, including pathological reprograming and compromised gut integrity. These phenotypes are highly similar to those observed upon acute targeting of Hey or perturbation of lamin expression in ECs in young adults. Indeed, aging phenotypes were suppressed by continued expression of Hey in ECs, suggesting that a Hey-lamin network safeguards nuclear organization and differentiated cell identity.
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Affiliation(s)
- Naama Flint Brodsly
- Rappaport Research Institute and Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - Eliya Bitman-Lotan
- Rappaport Research Institute and Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - Olga Boico
- Rappaport Research Institute and Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - Adi Shafat
- Rappaport Research Institute and Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - Maria Monastirioti
- Institute of Molecular Biology and Biotechnology (IMBB), Foundation for Research and Technology - Hellas (FORTH), Heraklion, Greece
| | - Manfred Gessler
- Biocenter of Developmental Biochemistry, University of Würzburg, Würzburg, Germany
| | - Christos Delidakis
- Institute of Molecular Biology and Biotechnology (IMBB), Foundation for Research and Technology - Hellas (FORTH), Heraklion, Greece
| | - Hector Rincon-Arano
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, United States
| | - Amir Orian
- Rappaport Research Institute and Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
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8
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Parey E, Crombach A. Evolution of the Drosophila melanogaster Chromatin Landscape and Its Associated Proteins. Genome Biol Evol 2019; 11:660-677. [PMID: 30689829 PMCID: PMC6411481 DOI: 10.1093/gbe/evz019] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/24/2019] [Indexed: 12/30/2022] Open
Abstract
In the nucleus of eukaryotic cells, genomic DNA associates with numerous protein complexes and RNAs, forming the chromatin landscape. Through a genome-wide study of chromatin-associated proteins in Drosophila cells, five major chromatin types were identified as a refinement of the traditional binary division into hetero- and euchromatin. These five types were given color names in reference to the Greek word chroma. They are defined by distinct but overlapping combinations of proteins and differ in biological and biochemical properties, including transcriptional activity, replication timing, and histone modifications. In this work, we assess the evolutionary relationships of chromatin-associated proteins and present an integrated view of the evolution and conservation of the fruit fly Drosophila melanogaster chromatin landscape. We combine homology prediction across a wide range of species with gene age inference methods to determine the origin of each chromatin-associated protein. This provides insight into the evolution of the different chromatin types. Our results indicate that for the euchromatic types, YELLOW and RED, young associated proteins are more specialized than old ones; and for genes found in either chromatin type, intron/exon structure is lineage-specific. Next, we provide evidence that a subset of GREEN-associated proteins is involved in a centromere drive in D. melanogaster. Our results on BLUE chromatin support the hypothesis that the emergence of Polycomb Group proteins is linked to eukaryotic multicellularity. In light of these results, we discuss how the regulatory complexification of chromatin links to the origins of eukaryotic multicellularity.
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Affiliation(s)
- Elise Parey
- Center for Interdisciplinary Research in Biology (CIRB), Collège de France, CNRS, INSERM, PSL Université Paris, France.,Institut de Biologie de l'Ecole Normale Supérieure (IBENS), Ecole Normale Supérieure, CNRS, INSERM, PSL Université Paris, Paris, France
| | - Anton Crombach
- Center for Interdisciplinary Research in Biology (CIRB), Collège de France, CNRS, INSERM, PSL Université Paris, France.,Inria, Antenne Lyon La Doua, Villeurbanne, France.,Université de Lyon, INSA-Lyon, LIRIS, UMR 5205, Villeurbanne, France
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9
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United colours of chromatin? Developmental genome organisation in flies. Biochem Soc Trans 2019; 47:691-700. [PMID: 30902925 DOI: 10.1042/bst20180605] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2019] [Revised: 02/21/2019] [Accepted: 02/22/2019] [Indexed: 11/17/2022]
Abstract
The organisation of DNA into differing forms of packaging, or chromatin, controls many of the cell fate decisions during development. Although early studies focused on individual forms of chromatin, in the last decade more holistic studies have attempted to determine a complete picture of the different forms of chromatin present within a cell. In the fruit fly, Drosophila melanogaster, the study of chromatin states has been aided by the use of complementary and cell-type-specific techniques that profile the marks that recruit chromatin protein binding or the proteins themselves. Although many questions remain unanswered, a clearer picture of how different chromatin states affect development is now emerging, with more unusual chromatin states such as Black chromatin playing key roles. Here, we discuss recent findings regarding chromatin biology in flies.
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10
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Aughey GN, Cheetham SW, Southall TD. DamID as a versatile tool for understanding gene regulation. Development 2019; 146:146/6/dev173666. [PMID: 30877125 PMCID: PMC6451315 DOI: 10.1242/dev.173666] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2018] [Accepted: 02/18/2019] [Indexed: 12/22/2022]
Abstract
The interaction of proteins and RNA with chromatin underlies the regulation of gene expression. The ability to profile easily these interactions is fundamental for understanding chromatin biology in vivo. DNA adenine methyltransferase identification (DamID) profiles genome-wide protein-DNA interactions without antibodies, fixation or protein pull-downs. Recently, DamID has been adapted for applications beyond simple assaying of protein-DNA interactions, such as for studying RNA-chromatin interactions, chromatin accessibility and long-range chromosome interactions. Here, we provide an overview of DamID and introduce improvements to the technology, discuss their applications and compare alternative methodologies. Summary: This Primer provides an overview of DNA adenine methyltransferase identification (DamID), which is used to profile genome-wide chromatin interactions, and introduces recent improvements to the technology.
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Affiliation(s)
- Gabriel N Aughey
- Department of Life Sciences, Imperial College London, Sir Ernst Chain Building, London, SW7 2AZ, UK
| | - Seth W Cheetham
- Mater Research Institute-University of Queensland, TRI Building, Woolloongabba, QLD 4102, Australia
| | - Tony D Southall
- Department of Life Sciences, Imperial College London, Sir Ernst Chain Building, London, SW7 2AZ, UK
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11
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La Fortezza M, Grigolon G, Cosolo A, Pindyurin A, Breimann L, Blum H, van Steensel B, Classen AK. DamID profiling of dynamic Polycomb-binding sites in Drosophila imaginal disc development and tumorigenesis. Epigenetics Chromatin 2018; 11:27. [PMID: 29871666 PMCID: PMC5987561 DOI: 10.1186/s13072-018-0196-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2018] [Accepted: 05/21/2018] [Indexed: 02/06/2023] Open
Abstract
Background Tracking dynamic protein–chromatin interactions in vivo is key to unravel transcriptional and epigenetic transitions in development and disease. However, limited availability and heterogeneous tissue composition of in vivo source material impose challenges on many experimental approaches. Results Here we adapt cell-type-specific DamID-seq profiling for use in Drosophila imaginal discs and make FLP/FRT-based induction accessible to GAL driver-mediated targeting of specific cell lineages. In a proof-of-principle approach, we utilize ubiquitous DamID expression to describe dynamic transitions of Polycomb-binding sites during wing imaginal disc development and in a scrib tumorigenesis model. We identify Atf3 and Ets21C as novel Polycomb target genes involved in scrib tumorigenesis and suggest that target gene regulation by Atf3 and AP-1 transcription factors, as well as modulation of insulator function, plays crucial roles in dynamic Polycomb-binding at target sites. We establish these findings by DamID-seq analysis of wing imaginal disc samples derived from 10 larvae. Conclusions Our study opens avenues for robust profiling of small cell population in imaginal discs in vivo and provides insights into epigenetic changes underlying transcriptional responses to tumorigenic transformation. Electronic supplementary material The online version of this article (10.1186/s13072-018-0196-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Marco La Fortezza
- Faculty of Biology, Ludwig-Maximilians-University Munich, Grosshaderner Strasse 2-4, 82152, Planegg, Martinsried, Germany.,Department of Environmental Systems Science, ETH Zurich, Universitätstrasse 16, 8092, Zurich, Switzerland
| | - Giovanna Grigolon
- Faculty of Biology, Ludwig-Maximilians-University Munich, Grosshaderner Strasse 2-4, 82152, Planegg, Martinsried, Germany.,Department of Health Sciences and Technology, ETH Zurich, Schorenstrasse 16, 8603, Schwerzenbach, Switzerland
| | - Andrea Cosolo
- Faculty of Biology, Ludwig-Maximilians-University Munich, Grosshaderner Strasse 2-4, 82152, Planegg, Martinsried, Germany.,Center for Biological Systems Analysis, Albert-Ludwigs-University Freiburg, Habsburgerstrasse 49, 79104, Freiburg, Germany
| | - Alexey Pindyurin
- Institute of Molecular and Cellular Biology, Siberian Branch of Russian Academy of Sciences, Acad. Lavrentiev Ave. 8/2, Novosibirsk, 630090, Russia
| | - Laura Breimann
- Faculty of Biology, Ludwig-Maximilians-University Munich, Grosshaderner Strasse 2-4, 82152, Planegg, Martinsried, Germany.,Max-Delbrück-Center for Molecular Medicine (MDC), Robert-Rössle-Str. 10, 13092, Berlin, Germany
| | - Helmut Blum
- Laboratory for Functional Genome Analysis, Gene Center Munich, Ludwig-Maximilians-University Munich, Feodor-Lynen-Str. 25, 81377, Munich, Germany
| | - Bas van Steensel
- Division Gene Regulation, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands
| | - Anne-Kathrin Classen
- Faculty of Biology, Ludwig-Maximilians-University Munich, Grosshaderner Strasse 2-4, 82152, Planegg, Martinsried, Germany. .,Center for Biological Systems Analysis, Albert-Ludwigs-University Freiburg, Habsburgerstrasse 49, 79104, Freiburg, Germany.
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12
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Tosti L, Ashmore J, Tan BSN, Carbone B, Mistri TK, Wilson V, Tomlinson SR, Kaji K. Mapping transcription factor occupancy using minimal numbers of cells in vitro and in vivo. Genome Res 2018; 28:592-605. [PMID: 29572359 PMCID: PMC5880248 DOI: 10.1101/gr.227124.117] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2017] [Accepted: 03/05/2018] [Indexed: 01/11/2023]
Abstract
The identification of transcription factor (TF) binding sites in the genome is critical to understanding gene regulatory networks (GRNs). While ChIP-seq is commonly used to identify TF targets, it requires specific ChIP-grade antibodies and high cell numbers, often limiting its applicability. DNA adenine methyltransferase identification (DamID), developed and widely used in Drosophila, is a distinct technology to investigate protein–DNA interactions. Unlike ChIP-seq, it does not require antibodies, precipitation steps, or chemical protein–DNA crosslinking, but to date it has been seldom used in mammalian cells due to technical limitations. Here we describe an optimized DamID method coupled with next-generation sequencing (DamID-seq) in mouse cells and demonstrate the identification of the binding sites of two TFs, POU5F1 (also known as OCT4) and SOX2, in as few as 1000 embryonic stem cells (ESCs) and neural stem cells (NSCs), respectively. Furthermore, we have applied this technique in vivo for the first time in mammals. POU5F1 DamID-seq in the gastrulating mouse embryo at 7.5 d post coitum (dpc) successfully identified multiple POU5F1 binding sites proximal to genes involved in embryo development, neural tube formation, and mesoderm-cardiac tissue development, consistent with the pivotal role of this TF in post-implantation embryo. This technology paves the way to unprecedented investigation of TF–DNA interactions and GRNs in specific cell types of limited availability in mammals, including in vivo samples.
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Affiliation(s)
- Luca Tosti
- MRC Centre for Regenerative Medicine, University of Edinburgh, Edinburgh BioQuarter, Edinburgh, EH16 4UU, Scotland, United Kingdom
| | - James Ashmore
- MRC Centre for Regenerative Medicine, University of Edinburgh, Edinburgh BioQuarter, Edinburgh, EH16 4UU, Scotland, United Kingdom
| | - Boon Siang Nicholas Tan
- MRC Centre for Regenerative Medicine, University of Edinburgh, Edinburgh BioQuarter, Edinburgh, EH16 4UU, Scotland, United Kingdom
| | - Benedetta Carbone
- MRC Centre for Regenerative Medicine, University of Edinburgh, Edinburgh BioQuarter, Edinburgh, EH16 4UU, Scotland, United Kingdom
| | - Tapan K Mistri
- MRC Centre for Regenerative Medicine, University of Edinburgh, Edinburgh BioQuarter, Edinburgh, EH16 4UU, Scotland, United Kingdom
| | - Valerie Wilson
- MRC Centre for Regenerative Medicine, University of Edinburgh, Edinburgh BioQuarter, Edinburgh, EH16 4UU, Scotland, United Kingdom
| | - Simon R Tomlinson
- MRC Centre for Regenerative Medicine, University of Edinburgh, Edinburgh BioQuarter, Edinburgh, EH16 4UU, Scotland, United Kingdom
| | - Keisuke Kaji
- MRC Centre for Regenerative Medicine, University of Edinburgh, Edinburgh BioQuarter, Edinburgh, EH16 4UU, Scotland, United Kingdom
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13
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Chromatin state changes during neural development revealed by in vivo cell-type specific profiling. Nat Commun 2017; 8:2271. [PMID: 29273756 PMCID: PMC5741632 DOI: 10.1038/s41467-017-02385-4] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2017] [Accepted: 11/23/2017] [Indexed: 12/22/2022] Open
Abstract
A key question in developmental biology is how cellular differentiation is controlled during development. While transitions between trithorax-group (TrxG) and polycomb-group (PcG) chromatin states are vital for the differentiation of ES cells to multipotent stem cells, little is known regarding the role of chromatin states during development of the brain. Here we show that large-scale chromatin remodelling occurs during Drosophila neural development. We demonstrate that the majority of genes activated during neuronal differentiation are silent in neural stem cells (NSCs) and occupy black chromatin and a TrxG-repressive state. In neurons, almost all key NSC genes are switched off via HP1-mediated repression. PcG-mediated repression does not play a significant role in regulating these genes, but instead regulates lineage-specific transcription factors that control spatial and temporal patterning in the brain. Combined, our data suggest that forms of chromatin other than canonical PcG/TrxG transitions take over key roles during neural development. While transitions between active and repressive chromatin states are essential for differentiation, little is known regarding their role during development of the brain in Drosophila. Here, the authors investigate the large scale chromatin remodelling taking place during fly neural development.
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14
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Trost M, Blattner AC, Leo S, Lehner CF. Drosophila dany is essential for transcriptional control and nuclear architecture in spermatocytes. Development 2017; 143:2664-76. [PMID: 27436041 DOI: 10.1242/dev.134759] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2016] [Accepted: 06/03/2016] [Indexed: 01/14/2023]
Abstract
The terminal differentiation of adult stem cell progeny depends on transcriptional control. A dramatic change in gene expression programs accompanies the transition from proliferating spermatogonia to postmitotic spermatocytes, which prepare for meiosis and subsequent spermiogenesis. More than a thousand spermatocyte-specific genes are transcriptionally activated in early Drosophila spermatocytes. Here we describe the identification and initial characterization of dany, a gene required in spermatocytes for the large-scale change in gene expression. Similar to tMAC and tTAFs, the known major activators of spermatocyte-specific genes, dany has a recent evolutionary origin, but it functions independently. Like dan and danr, its primordial relatives with functions in somatic tissues, dany encodes a nuclear Psq domain protein. Dany associates preferentially with euchromatic genome regions. In dany mutant spermatocytes, activation of spermatocyte-specific genes and silencing of non-spermatocyte-specific genes are severely compromised and the chromatin no longer associates intimately with the nuclear envelope. Therefore, as suggested recently for Dan/Danr, we propose that Dany is essential for the coordination of change in cell type-specific expression programs and large-scale spatial chromatin reorganization.
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Affiliation(s)
- Martina Trost
- Institute of Molecular Life Sciences (IMLS), University of Zurich, Zurich 8057, Switzerland
| | - Ariane C Blattner
- Institute of Molecular Life Sciences (IMLS), University of Zurich, Zurich 8057, Switzerland
| | - Stefano Leo
- Institute of Molecular Life Sciences (IMLS), University of Zurich, Zurich 8057, Switzerland
| | - Christian F Lehner
- Institute of Molecular Life Sciences (IMLS), University of Zurich, Zurich 8057, Switzerland
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15
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Chen T, van Steensel B. Comprehensive analysis of nucleocytoplasmic dynamics of mRNA in Drosophila cells. PLoS Genet 2017; 13:e1006929. [PMID: 28771467 PMCID: PMC5557608 DOI: 10.1371/journal.pgen.1006929] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2016] [Revised: 08/15/2017] [Accepted: 07/17/2017] [Indexed: 01/14/2023] Open
Abstract
Eukaryotic mRNAs undergo a cycle of transcription, nuclear export, and degradation. A major challenge is to obtain a global, quantitative view of these processes. Here we measured the genome-wide nucleocytoplasmic dynamics of mRNA in Drosophila cells by metabolic labeling in combination with cellular fractionation. By mathematical modeling of these data we determined rates of transcription, export and cytoplasmic decay for 5420 genes. We characterized these kinetic rates and investigated links with mRNA features, RNA-binding proteins (RBPs) and chromatin states. We found prominent correlations between mRNA decay rate and transcript size, while nuclear export rates are linked to the size of the 3'UTR. Transcription, export and decay rates are each associated with distinct spectra of RBPs. Specific classes of genes, such as those encoding cytoplasmic ribosomal proteins, exhibit characteristic combinations of rate constants, suggesting modular control. Binding of splicing factors is associated with faster rates of export, and our data suggest coordinated regulation of nuclear export of specific functional classes of genes. Finally, correlations between rate constants suggest global coordination between the three processes. Our approach provides insights into the genome-wide nucleocytoplasmic kinetics of mRNA and should be generally applicable to other cell systems. All mRNAs start from production in the nucleus, undergo exportation through nuclear pores and finally are degraded in the cytoplasm. A comprehensive characterization of the kinetic rates of all mRNAs is an important prerequisite for a global understanding of the regulation of the transcriptome and the cell. By conducting a time-series experiment and building a mathematical model, we trace the dynamics of mRNAs from the nucleus to the cytoplasm and determine the rates at each kinetic step at transcriptome-wide level. This information allows us to associate mRNA kinetic rates with a wealth of biological features and made some intriguing discoveries. We show mRNA decay is positively linked to transcript length while mRNA export is negatively linked to the length of the 3' UTR. We show binding of splicing factors is associated with faster rates of mRNA export. We provide evidence for global coordination between nuclear export an decay of mRNA. We show genes sharing specific functions tend to have similar nucleoplasmic kinetics, in which ribosomal proteins possessing special kinetic features exclusively stand out. Altogether, our integrated approach to quantitatively determine the rates of kinetic steps on a gene-by-gene basis provides a blueprint to obtain the global understanding of RNA regulation.
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Affiliation(s)
- Tao Chen
- Division of Gene Regulation, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Bas van Steensel
- Division of Gene Regulation, Netherlands Cancer Institute, Amsterdam, The Netherlands
- * E-mail:
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16
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Grünberg S, Zentner GE. Genome-wide Mapping of Protein-DNA Interactions with ChEC-seq in Saccharomyces cerevisiae. J Vis Exp 2017. [PMID: 28605389 DOI: 10.3791/55836] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Abstract
Genome-wide mapping of protein-DNA interactions is critical for understanding gene regulation, chromatin remodeling, and other chromatin-resident processes. Formaldehyde crosslinking followed by chromatin immunoprecipitation and high-throughput sequencing (X-ChIP-seq) has been used to gain many valuable insights into genome biology. However, X-ChIP-seq has notable limitations linked to crosslinking and sonication. Native ChIP avoids these drawbacks by omitting crosslinking, but often results in poor recovery of chromatin-bound proteins. In addition, all ChIP-based methods are subject to antibody quality considerations. Enzymatic methods for mapping protein-DNA interactions, which involve fusion of a protein of interest to a DNA-modifying enzyme, have also been used to map protein-DNA interactions. We recently combined one such method, chromatin endogenous cleavage (ChEC), with high-throughput sequencing as ChEC-seq. ChEC-seq relies on fusion of a chromatin-associated protein of interest to micrococcal nuclease (MNase) to generate targeted DNA cleavage in the presence of calcium in living cells. ChEC-seq is not based on immunoprecipitation and so circumvents potential concerns with crosslinking, sonication, chromatin solubilization, and antibody quality while providing high resolution mapping with minimal background signal. We envision that ChEC-seq will be a powerful counterpart to ChIP, providing an independent means by which to both validate ChIP-seq findings and discover new insights into genomic regulation.
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17
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Dissecting chromatin-mediated gene regulation and epigenetic memory through mathematical modelling. ACTA ACUST UNITED AC 2017. [DOI: 10.1016/j.coisb.2017.02.003] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
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18
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Corrales M, Rosado A, Cortini R, van Arensbergen J, van Steensel B, Filion GJ. Clustering of Drosophila housekeeping promoters facilitates their expression. Genome Res 2017; 27:1153-1161. [PMID: 28420691 PMCID: PMC5495067 DOI: 10.1101/gr.211433.116] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2016] [Accepted: 04/12/2017] [Indexed: 11/25/2022]
Abstract
Housekeeping genes of animal genomes cluster in the same chromosomal regions. It has long been suggested that this organization contributes to their steady expression across all the tissues of the organism. Here, we show that the activity of Drosophila housekeeping gene promoters depends on the expression of their neighbors. By measuring the expression of ∼85,000 reporters integrated in Kc167 cells, we identified the best predictors of expression as chromosomal contacts with the promoters and terminators of active genes. Surprisingly, the chromatin composition at the insertion site and the contacts with enhancers were less informative. These results are substantiated by the existence of genomic “paradoxical” domains, rich in euchromatic features and enhancers, but where the reporters are expressed at low level, concomitant with a deficit of interactions with promoters and terminators. This indicates that the proper function of housekeeping genes relies not on contacts with long distance enhancers but on spatial clustering. Overall, our results suggest that spatial proximity between genes increases their expression and that the linear architecture of the Drosophila genome contributes to this effect.
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Affiliation(s)
- Marc Corrales
- Centre for Genomic Regulation (CRG), The Barcelona Institute for Science and Technology, 08003 Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Aránzazu Rosado
- Centre for Genomic Regulation (CRG), The Barcelona Institute for Science and Technology, 08003 Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Ruggero Cortini
- Centre for Genomic Regulation (CRG), The Barcelona Institute for Science and Technology, 08003 Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Joris van Arensbergen
- Division of Gene Regulation, Netherlands Cancer Institute (NKI), 1066CX Amsterdam, The Netherlands
| | - Bas van Steensel
- Division of Gene Regulation, Netherlands Cancer Institute (NKI), 1066CX Amsterdam, The Netherlands
| | - Guillaume J Filion
- Centre for Genomic Regulation (CRG), The Barcelona Institute for Science and Technology, 08003 Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain
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19
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Boldyreva LV, Goncharov FP, Demakova OV, Zykova TY, Levitsky VG, Kolesnikov NN, Pindyurin AV, Semeshin VF, Zhimulev IF. Protein and Genetic Composition of Four Chromatin Types in Drosophila melanogaster Cell Lines. Curr Genomics 2017; 18:214-226. [PMID: 28367077 PMCID: PMC5345337 DOI: 10.2174/1389202917666160512164913] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2016] [Revised: 04/15/2016] [Accepted: 04/20/2016] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Recently, we analyzed genome-wide protein binding data for the Drosophila cell lines S2, Kc, BG3 and Cl.8 (modENCODE Consortium) and identified a set of 12 proteins enriched in the regions corresponding to interbands of salivary gland polytene chromosomes. Using these data, we developed a bioinformatic pipeline that partitioned the Drosophila genome into four chromatin types that we hereby refer to as aquamarine, lazurite, malachite and ruby. RESULTS Here, we describe the properties of these chromatin types across different cell lines. We show that aquamarine chromatin tends to harbor transcription start sites (TSSs) and 5' untranslated regions (5'UTRs) of the genes, is enriched in diverse "open" chromatin proteins, histone modifications, nucleosome remodeling complexes and transcription factors. It encompasses most of the tRNA genes and shows enrichment for non-coding RNAs and miRNA genes. Lazurite chromatin typically encompasses gene bodies. It is rich in proteins involved in transcription elongation. Frequency of both point mutations and natural deletion breakpoints is elevated within lazurite chromatin. Malachite chromatin shows higher frequency of insertions of natural transposons. Finally, ruby chromatin is enriched for proteins and histone modifications typical for the "closed" chromatin. Ruby chromatin has a relatively low frequency of point mutations and is essentially devoid of miRNA and tRNA genes. Aquamarine and ruby chromatin types are highly stable across cell lines and have contrasting properties. Lazurite and malachite chromatin types also display characteristic protein composition, as well as enrichment for specific genomic features. We found that two types of chromatin, aquamarine and ruby, retain their complementary protein patterns in four Drosophila cell lines.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Igor F. Zhimulev
- Address correspondence to this author at the Institute of Molecular and Cellular Biology of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk 630090, Russia; Tel: +7 383 363-90-41; Fax: +7 383 363-90-78; E-mail:
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20
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Pindyurin AV. Genome-Wide Cell Type-Specific Mapping of In Vivo Chromatin Protein Binding Using an FLP-Inducible DamID System in Drosophila. Methods Mol Biol 2017; 1654:99-124. [PMID: 28986785 DOI: 10.1007/978-1-4939-7231-9_7] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
A thorough study of the genome-wide binding patterns of chromatin proteins is essential for understanding the regulatory mechanisms of genomic processes in eukaryotic nuclei, including DNA replication, transcription, and repair. The DNA adenine methyltransferase identification (DamID) method is a powerful tool to identify genomic binding sites of chromatin proteins. This method does not require fixation of cells and the use of specific antibodies, and has been used to generate genome-wide binding maps of more than a hundred different proteins in Drosophila tissue culture cells. Recent versions of inducible DamID allow performing cell type-specific profiling of chromatin proteins even in small samples of Drosophila tissues that contain heterogeneous cell types. Importantly, with these methods sorting of cells of interest or their nuclei is not necessary as genomic DNA isolated from the whole tissue can be used as an input. Here, I describe in detail an FLP-inducible DamID method, namely generation of suitable transgenic flies, activation of the Dam transgenes by the FLP recombinase, isolation of DNA from small amounts of dissected tissues, and subsequent identification of the DNA binding sites of the chromatin proteins.
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Affiliation(s)
- Alexey V Pindyurin
- Laboratory of Cell Division, Institute of Molecular and Cellular Biology SB RAS, Novosibirsk, 630090, Russia.
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21
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Brueckner L, van Arensbergen J, Akhtar W, Pagie L, van Steensel B. High-throughput assessment of context-dependent effects of chromatin proteins. Epigenetics Chromatin 2016; 9:43. [PMID: 27777628 PMCID: PMC5069885 DOI: 10.1186/s13072-016-0096-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2016] [Accepted: 09/27/2016] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Chromatin proteins control gene activity in a concerted manner. We developed a high-throughput assay to study the effects of the local chromatin environment on the regulatory activity of a protein of interest. The assay combines a previously reported multiplexing strategy based on barcoded randomly integrated reporters with Gal4-mediated tethering. We applied the assay to Drosophila heterochromatin protein 1a (HP1a), which is mostly known as a repressive protein but has also been linked to transcriptional activation. RESULTS Recruitment to over 1000 genomic locations revealed that HP1a is a potent repressor able to silence even highly expressing reporter genes. However, the local chromatin context can modulate HP1a function. In pericentromeric regions, HP1a-induced repression was enhanced by twofold. In regions marked by a H3K36me3-rich chromatin signature, HP1a-dependent silencing was significantly decreased. We found no evidence for an activating function of HP1a in our experimental system. Furthermore, we did not observe stable transmission of repression over mitotic divisions after loss of targeted HP1a. CONCLUSIONS The multiplexed tethered reporter assay should be applicable to a large number of chromatin proteins and will be a useful tool to dissect combinatorial regulatory interactions in chromatin.
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Affiliation(s)
- Laura Brueckner
- Division of Gene Regulation, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Joris van Arensbergen
- Division of Gene Regulation, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Waseem Akhtar
- Division of Molecular Genetics, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Ludo Pagie
- Division of Gene Regulation, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Bas van Steensel
- Division of Gene Regulation, Netherlands Cancer Institute, Amsterdam, The Netherlands
- Department of Cell Biology, Erasmus University Medical Center, Rotterdam, The Netherlands
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22
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Kustatscher G, Rappsilber J. Compositional Dynamics: Defining the Fuzzy Cell. Trends Cell Biol 2016; 26:800-803. [PMID: 27651031 PMCID: PMC5080450 DOI: 10.1016/j.tcb.2016.08.012] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2016] [Revised: 08/25/2016] [Accepted: 08/26/2016] [Indexed: 11/17/2022]
Abstract
Proteomic studies find many proteins in unexpected cellular locations. Can functional components of organelles be distinguished from biochemical artefacts or misguided cellular sorting? The clue might reside in compositional changes that follow biological challenges and that can be decoded by machine learning.
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Affiliation(s)
- Georg Kustatscher
- Wellcome Trust Centre for Cell Biology, University of Edinburgh, Edinburgh EH9 3BF, UK
| | - Juri Rappsilber
- Wellcome Trust Centre for Cell Biology, University of Edinburgh, Edinburgh EH9 3BF, UK; Chair of Bioanalytics, Institute of Biotechnology, Technische Universität Berlin, 13355 Berlin, Germany.
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23
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Swenson JM, Colmenares SU, Strom AR, Costes SV, Karpen GH. The composition and organization of Drosophila heterochromatin are heterogeneous and dynamic. eLife 2016; 5:e16096. [PMID: 27514026 PMCID: PMC4981497 DOI: 10.7554/elife.16096] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2016] [Accepted: 07/06/2016] [Indexed: 12/13/2022] Open
Abstract
Heterochromatin is enriched for specific epigenetic factors including Heterochromatin Protein 1a (HP1a), and is essential for many organismal functions. To elucidate heterochromatin organization and regulation, we purified Drosophila melanogaster HP1a interactors, and performed a genome-wide RNAi screen to identify genes that impact HP1a levels or localization. The majority of the over four hundred putative HP1a interactors and regulators identified were previously unknown. We found that 13 of 16 tested candidates (83%) are required for gene silencing, providing a substantial increase in the number of identified components that impact heterochromatin properties. Surprisingly, image analysis revealed that although some HP1a interactors and regulators are broadly distributed within the heterochromatin domain, most localize to discrete subdomains that display dynamic localization patterns during the cell cycle. We conclude that heterochromatin composition and architecture is more spatially complex and dynamic than previously suggested, and propose that a network of subdomains regulates diverse heterochromatin functions.
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Affiliation(s)
- Joel M Swenson
- Division of Biological Systems and Engineering, Lawrence Berkeley National Laboratory, Berkeley, United States
| | - Serafin U Colmenares
- Division of Biological Systems and Engineering, Lawrence Berkeley National Laboratory, Berkeley, United States
| | - Amy R Strom
- Division of Biological Systems and Engineering, Lawrence Berkeley National Laboratory, Berkeley, United States
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, United States
| | - Sylvain V Costes
- Division of Biological Systems and Engineering, Lawrence Berkeley National Laboratory, Berkeley, United States
| | - Gary H Karpen
- Division of Biological Systems and Engineering, Lawrence Berkeley National Laboratory, Berkeley, United States
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, United States
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24
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Deignan L, Pinheiro MT, Sutcliffe C, Saunders A, Wilcockson SG, Zeef LAH, Donaldson IJ, Ashe HL. Regulation of the BMP Signaling-Responsive Transcriptional Network in the Drosophila Embryo. PLoS Genet 2016; 12:e1006164. [PMID: 27379389 PMCID: PMC4933369 DOI: 10.1371/journal.pgen.1006164] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2016] [Accepted: 06/10/2016] [Indexed: 12/24/2022] Open
Abstract
The BMP signaling pathway has a conserved role in dorsal-ventral axis patterning during embryonic development. In Drosophila, graded BMP signaling is transduced by the Mad transcription factor and opposed by the Brinker repressor. In this study, using the Drosophila embryo as a model, we combine RNA-seq with Mad and Brinker ChIP-seq to decipher the BMP-responsive transcriptional network underpinning differentiation of the dorsal ectoderm during dorsal-ventral axis patterning. We identify multiple new BMP target genes, including positive and negative regulators of EGF signaling. Manipulation of EGF signaling levels by loss- and gain-of-function studies reveals that EGF signaling negatively regulates embryonic BMP-responsive transcription. Therefore, the BMP gene network has a self-regulating property in that it establishes a balance between its activity and that of the antagonistic EGF signaling pathway to facilitate correct patterning. In terms of BMP-dependent transcription, we identify key roles for the Zelda and Zerknüllt transcription factors in establishing the resulting expression domain, and find widespread binding of insulator proteins to the Mad and Brinker-bound genomic regions. Analysis of embryos lacking the BEAF-32 insulator protein shows reduced transcription of a peak BMP target gene and a reduction in the number of amnioserosa cells, the fate specified by peak BMP signaling. We incorporate our findings into a model for Mad-dependent activation, and discuss its relevance to BMP signal interpretation in vertebrates. Embryogenesis involves the patterning of many different cell fates by a limited number of types of signals. One way that these signals promote a particular cell fate is through the induction of a complex, yet highly reproducible, gene expression programme that instructs changes in the cell. For example, there is a conserved role for BMP signals in specifying cell fates during dorsal-ventral axis patterning. Here, we have used genomics approaches to identify the gene expression programme implemented in response to BMP signaling during axis patterning in the Drosophila embryo. Part of the gene network downstream of BMP signaling includes members of the EGF signaling pathway, with our data highlighting reciprocal interactions between these two pathways. We have also determined genome-wide binding of BMP-responsive transcription factors to gain new insights into how the BMP gene network is activated. Our data reveal roles for specific transcription factors and insulator binding proteins, with the latter traditionally associated with the separation of transcriptional domains. Overall, our data will provide a platform for exploiting the tractability of the Drosophila embryo to determine which features of the network are critical drivers of BMP-induced cell fate changes during embryogenesis.
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Affiliation(s)
- Lisa Deignan
- Faculty of Life Sciences, University of Manchester, Manchester, United Kingdom
| | - Marco T. Pinheiro
- Faculty of Life Sciences, University of Manchester, Manchester, United Kingdom
| | - Catherine Sutcliffe
- Faculty of Life Sciences, University of Manchester, Manchester, United Kingdom
| | - Abbie Saunders
- Faculty of Life Sciences, University of Manchester, Manchester, United Kingdom
| | - Scott G. Wilcockson
- Faculty of Life Sciences, University of Manchester, Manchester, United Kingdom
| | - Leo A. H. Zeef
- Faculty of Life Sciences, University of Manchester, Manchester, United Kingdom
| | - Ian J. Donaldson
- Faculty of Life Sciences, University of Manchester, Manchester, United Kingdom
| | - Hilary L. Ashe
- Faculty of Life Sciences, University of Manchester, Manchester, United Kingdom
- * E-mail:
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25
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Lundberg SM, Tu WB, Raught B, Penn LZ, Hoffman MM, Lee SI. ChromNet: Learning the human chromatin network from all ENCODE ChIP-seq data. Genome Biol 2016; 17:82. [PMID: 27139377 PMCID: PMC4852466 DOI: 10.1186/s13059-016-0925-0] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2016] [Accepted: 03/15/2016] [Indexed: 01/12/2023] Open
Abstract
A cell's epigenome arises from interactions among regulatory factors-transcription factors and histone modifications-co-localized at particular genomic regions. We developed a novel statistical method, ChromNet, to infer a network of these interactions, the chromatin network, by inferring conditional-dependence relationships among a large number of ChIP-seq data sets. We applied ChromNet to all available 1451 ChIP-seq data sets from the ENCODE Project, and showed that ChromNet revealed previously known physical interactions better than alternative approaches. We experimentally validated one of the previously unreported interactions, MYC-HCFC1. An interactive visualization tool is available at http://chromnet.cs.washington.edu.
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Affiliation(s)
- Scott M Lundberg
- Department of Computer Science and Engineering, University of Washington, Seattle, WA, USA
| | - William B Tu
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada.,Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Brian Raught
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada.,Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Linda Z Penn
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada.,Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Michael M Hoffman
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada.,Princess Margaret Cancer Centre, Toronto, ON, Canada.,Department of Computer Science, University of Toronto, Toronto, ON, Canada
| | - Su-In Lee
- Department of Computer Science and Engineering, University of Washington, Seattle, WA, USA. .,Department of Genome Sciences, University of Washington, Seattle, WA, USA.
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26
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Pindyurin AV, Pagie L, Kozhevnikova EN, van Arensbergen J, van Steensel B. Inducible DamID systems for genomic mapping of chromatin proteins in Drosophila. Nucleic Acids Res 2016; 44:5646-57. [PMID: 27001518 PMCID: PMC4937306 DOI: 10.1093/nar/gkw176] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2016] [Accepted: 03/08/2016] [Indexed: 01/10/2023] Open
Abstract
Dam identification (DamID) is a powerful technique to generate genome-wide maps of chromatin protein binding. Due to its high sensitivity, it is particularly suited to study the genome interactions of chromatin proteins in small tissue samples in model organisms such as Drosophila. Here, we report an intein-based approach to tune the expression level of Dam and Dam-fusion proteins in Drosophila by addition of a ligand to fly food. This helps to suppress possible toxic effects of Dam. In addition, we describe a strategy for genetically controlled expression of Dam in a specific cell type in complex tissues. We demonstrate the utility of the latter by generating a glia-specific map of Polycomb in small samples of brain tissue. These new DamID tools will be valuable for the mapping of binding patterns of chromatin proteins in Drosophila tissues and especially in cell lineages.
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Affiliation(s)
- Alexey V Pindyurin
- Division of Gene Regulation, Netherlands Cancer Institute, 1066 CX Amsterdam, the Netherlands Institute of Molecular and Cellular Biology SB RAS, Novosibirsk 630090, Russia
| | - Ludo Pagie
- Division of Gene Regulation, Netherlands Cancer Institute, 1066 CX Amsterdam, the Netherlands
| | | | - Joris van Arensbergen
- Division of Gene Regulation, Netherlands Cancer Institute, 1066 CX Amsterdam, the Netherlands
| | - Bas van Steensel
- Division of Gene Regulation, Netherlands Cancer Institute, 1066 CX Amsterdam, the Netherlands
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27
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Juan D, Perner J, Carrillo de Santa Pau E, Marsili S, Ochoa D, Chung HR, Vingron M, Rico D, Valencia A. Epigenomic Co-localization and Co-evolution Reveal a Key Role for 5hmC as a Communication Hub in the Chromatin Network of ESCs. Cell Rep 2016; 14:1246-1257. [PMID: 26832418 DOI: 10.1016/j.celrep.2016.01.008] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2015] [Revised: 11/20/2015] [Accepted: 12/29/2015] [Indexed: 02/07/2023] Open
Abstract
Epigenetic communication through histone and cytosine modifications is essential for gene regulation and cell identity. Here, we propose a framework that is based on a chromatin communication model to get insight on the function of epigenetic modifications in ESCs. The epigenetic communication network was inferred from genome-wide location data plus extensive manual annotation. Notably, we found that 5-hydroxymethylcytosine (5hmC) is the most-influential hub of this network, connecting DNA demethylation to nucleosome remodeling complexes and to key transcription factors of pluripotency. Moreover, an evolutionary analysis revealed a central role of 5hmC in the co-evolution of chromatin-related proteins. Further analysis of regions where 5hmC co-localizes with specific interactors shows that each interaction points to chromatin remodeling, stemness, differentiation, or metabolism. Our results highlight the importance of cytosine modifications in the epigenetic communication of ESCs.
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Affiliation(s)
- David Juan
- Structural Biology and BioComputing Programme, Spanish National Cancer Research Center - CNIO, Melchor Fernandez Almagro 3, 28029 Madrid, Spain
| | - Juliane Perner
- Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Ihnestrasse 63-73, 14195 Berlin, Germany
| | - Enrique Carrillo de Santa Pau
- Structural Biology and BioComputing Programme, Spanish National Cancer Research Center - CNIO, Melchor Fernandez Almagro 3, 28029 Madrid, Spain
| | - Simone Marsili
- Structural Biology and BioComputing Programme, Spanish National Cancer Research Center - CNIO, Melchor Fernandez Almagro 3, 28029 Madrid, Spain
| | - David Ochoa
- European Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Ho-Ryun Chung
- Otto-Warburg-Laboratories Epigenomics, Max Planck Institute for Molecular Genetics, Ihnestrasse 63-73, 14195 Berlin, Germany
| | - Martin Vingron
- Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Ihnestrasse 63-73, 14195 Berlin, Germany
| | - Daniel Rico
- Structural Biology and BioComputing Programme, Spanish National Cancer Research Center - CNIO, Melchor Fernandez Almagro 3, 28029 Madrid, Spain.
| | - Alfonso Valencia
- Structural Biology and BioComputing Programme, Spanish National Cancer Research Center - CNIO, Melchor Fernandez Almagro 3, 28029 Madrid, Spain.
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28
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Ellis K, Friedman C, Yedvobnick B. Drosophila domino Exhibits Genetic Interactions with a Wide Spectrum of Chromatin Protein-Encoding Loci. PLoS One 2015; 10:e0142635. [PMID: 26555684 PMCID: PMC4640824 DOI: 10.1371/journal.pone.0142635] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2015] [Accepted: 10/23/2015] [Indexed: 11/18/2022] Open
Abstract
The Drosophila domino gene encodes protein of the SWI2/SNF2 family that has widespread roles in transcription, replication, recombination and DNA repair. Here, the potential relationship of Domino protein to other chromatin-associated proteins has been investigated through a genetic interaction analysis. We scored for genetic modification of a domino wing margin phenotype through coexpression of RNAi directed against a set of previously characterized and more newly characterized chromatin-encoding loci. A set of other SWI2/SNF2 loci were also assayed for interaction with domino. Our results show that the majority of tested loci exhibit synergistic enhancement or suppression of the domino wing phenotype. Therefore, depression in domino function sensitizes the wing margin to alterations in the activity of numerous chromatin components. In several cases the genetic interactions are associated with changes in the level of cell death measured across the dorsal-ventral margin of the wing imaginal disc. These results highlight the broad realms of action of many chromatin proteins and suggest significant overlap with Domino function in fundamental cell processes, including cell proliferation, cell death and cell signaling.
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Affiliation(s)
- Kaitlyn Ellis
- Biology Department, Emory University, Atlanta, Georgia, United States of America
| | - Chloe Friedman
- Biology Department, Emory University, Atlanta, Georgia, United States of America
| | - Barry Yedvobnick
- Biology Department, Emory University, Atlanta, Georgia, United States of America
- * E-mail:
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29
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Aughey GN, Southall TD. Dam it's good! DamID profiling of protein-DNA interactions. WILEY INTERDISCIPLINARY REVIEWS-DEVELOPMENTAL BIOLOGY 2015; 5:25-37. [PMID: 26383089 PMCID: PMC4737221 DOI: 10.1002/wdev.205] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/16/2015] [Revised: 07/06/2015] [Accepted: 07/20/2015] [Indexed: 01/09/2023]
Abstract
The interaction of proteins with chromatin is fundamental for several essential cellular processes. During the development of an organism, genes must to be tightly regulated both temporally and spatially. This is achieved through the action of chromatin‐binding proteins such as transcription factors, histone modifiers, nucleosome remodelers, and lamins. Furthermore, protein–DNA interactions are important in the adult, where their perturbation can lead to disruption of homeostasis, metabolic dysregulation, and diseases such as cancer. Understanding the nature of these interactions is of paramount importance in almost all areas of molecular biological research. In recent years, DNA adenine methyltransferase identification (DamID) has emerged as one of the most comprehensive and versatile methods available for profiling protein–DNA interactions on a genomic scale. DamID has been used to map a variety of chromatin‐binding proteins in several model organisms and has the potential for continued adaptation and application in the field of genomic biology. WIREs Dev Biol 2016, 5:25–37. doi: 10.1002/wdev.205 For further resources related to this article, please visit the WIREs website.
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Affiliation(s)
- Gabriel N Aughey
- Department of Life Sciences, Imperial College London, Sir Ernst Chain Building, London, UK
| | - Tony D Southall
- Department of Life Sciences, Imperial College London, Sir Ernst Chain Building, London, UK
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30
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Jain D, Baldi S, Zabel A, Straub T, Becker PB. Active promoters give rise to false positive 'Phantom Peaks' in ChIP-seq experiments. Nucleic Acids Res 2015; 43:6959-68. [PMID: 26117547 PMCID: PMC4538825 DOI: 10.1093/nar/gkv637] [Citation(s) in RCA: 101] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2015] [Accepted: 06/08/2015] [Indexed: 02/07/2023] Open
Abstract
Chromatin immunoprecipitation (ChIP) is widely used to identify chromosomal binding sites. Chromatin proteins are cross-linked to their target sequences in living cells. The purified chromatin is sheared and the relevant protein is enriched by immunoprecipitation with specific antibodies. The co-purifying genomic DNA is then determined by massive parallel sequencing (ChIP-seq). We applied ChIP-seq to map the chromosomal binding sites for two ISWI-containing nucleosome remodeling factors, ACF and RSF, in Drosophila embryos. Employing several polyclonal and monoclonal antibodies directed against their signature subunits, ACF1 and RSF-1, robust profiles were obtained indicating that both remodelers co-occupied a large set of active promoters. Further validation included controls using chromatin of mutant embryos that do not express ACF1 or RSF-1. Surprisingly, the ChIP-seq profiles were unchanged, suggesting that they were not due to specific immunoprecipitation. Conservative analysis lists about 3000 chromosomal loci, mostly active promoters that are prone to non-specific enrichment in ChIP and appear as ‘Phantom Peaks’. These peaks are not obtained with pre-immune serum and are not prominent in input chromatin. Mining the modENCODE ChIP-seq profiles identifies potential Phantom Peaks in many profiles of epigenetic regulators. These profiles and other ChIP-seq data featuring prominent Phantom Peaks must be validated with chromatin from cells in which the protein of interest has been depleted.
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Affiliation(s)
- Dhawal Jain
- Biomedical Center and Center for Integrated Protein Science Munich, Ludwig-Maximilians-University, Munich, Germany
| | - Sandro Baldi
- Biomedical Center and Center for Integrated Protein Science Munich, Ludwig-Maximilians-University, Munich, Germany
| | - Angelika Zabel
- Biomedical Center and Center for Integrated Protein Science Munich, Ludwig-Maximilians-University, Munich, Germany
| | - Tobias Straub
- Biomedical Center and Center for Integrated Protein Science Munich, Ludwig-Maximilians-University, Munich, Germany
| | - Peter B Becker
- Biomedical Center and Center for Integrated Protein Science Munich, Ludwig-Maximilians-University, Munich, Germany
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31
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Jenkins AM, Muskavitch MAT. Evolution of an epigenetic gene ensemble within the genus Anopheles. Genome Biol Evol 2015; 7:901-15. [PMID: 25724208 PMCID: PMC5322554 DOI: 10.1093/gbe/evv041] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
Abstract
Epigenetic control of gene expression has important implications for the regulation of developmental processes, for mediating homeostasis and responses to the external environment, and for transgenerational inheritance of gene expression patterns. Genes that mediate epigenetic control have been well-characterized in Drosophila melanogaster, and we have identified and analyzed an orthologous gene ensemble in Anopheles gambiae that comprises 169 orthologs related to a 215-member epigenetic gene ensemble in D. melanogaster. We find that this ensemble is highly conserved among anopheline mosquitoes, as we identify only seven gene family expansion/contraction events within the ensemble among 12 mosquito species we have studied within the genus Anopheles. Comparative analyses of the epigenetic gene expression across the genera Drosophila and Anopheles reveal distinct tissue-associated expression patterns in the two genera, but similar temporal expression patterns. The A. gambiae complex and D. melanogaster subgroup epigenetic gene ensembles exhibit similar evolutionary rates, as assessed by their respective dN/dS values. These differences in tissue-associated expression patterns, in contrast to similarities in evolutionary rates and temporal expression patterns, may imply that some members of the epigenetic gene ensemble have been redeployed within one or both genera, in comparison to the most recent common ancestor of these two clades. Members of this epigenetic gene ensemble may constitute another set of potential targets for vector control and enable further reductions in the burden of human malaria, by analogy to recent success in development of small molecule antagonists for mammalian epigenetic machinery.
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Affiliation(s)
| | - Marc A T Muskavitch
- Department of Biology, Boston College Discovery Research, Biogen Idec, Cambridge, Massachusetts
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32
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Chromatin-Driven Behavior of Topologically Associating Domains. J Mol Biol 2015; 427:608-25. [DOI: 10.1016/j.jmb.2014.09.013] [Citation(s) in RCA: 82] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2014] [Revised: 09/17/2014] [Accepted: 09/23/2014] [Indexed: 12/19/2022]
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33
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Artegiani B, de Jesus Domingues AM, Bragado Alonso S, Brandl E, Massalini S, Dahl A, Calegari F. Tox: a multifunctional transcription factor and novel regulator of mammalian corticogenesis. EMBO J 2014; 34:896-910. [PMID: 25527292 DOI: 10.15252/embj.201490061] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2014] [Accepted: 12/03/2014] [Indexed: 01/17/2023] Open
Abstract
Major efforts are invested to characterize the factors controlling the proliferation of neural stem cells. During mammalian corticogenesis, our group has identified a small pool of genes that are transiently downregulated in the switch of neural stem cells to neurogenic division and reinduced in newborn neurons. Among these switch genes, we found Tox, a transcription factor with hitherto uncharacterized roles in the nervous system. Here, we investigated the role of Tox in corticogenesis by characterizing its expression at the tissue, cellular and temporal level. We found that Tox is regulated by calcineurin/Nfat signalling. Moreover, we combined DNA adenine methyltransferase identification (DamID) with deep sequencing to characterize the chromatin binding properties of Tox including its motif and downstream transcriptional targets including Sox2, Tbr2, Prox1 and other key factors. Finally, we manipulated Tox in the developing brain and validated its multiple roles in promoting neural stem cell proliferation and neurite outgrowth of newborn neurons. Our data provide a valuable resource to study the role of Tox in other tissues and highlight a novel key player in brain development.
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Affiliation(s)
- Benedetta Artegiani
- DFG-Research Center for Regenerative Therapies, Cluster of Excellence, TU-Dresden, Dresden, Germany
| | | | - Sara Bragado Alonso
- DFG-Research Center for Regenerative Therapies, Cluster of Excellence, TU-Dresden, Dresden, Germany
| | - Elisabeth Brandl
- DFG-Research Center for Regenerative Therapies, Cluster of Excellence, TU-Dresden, Dresden, Germany
| | - Simone Massalini
- DFG-Research Center for Regenerative Therapies, Cluster of Excellence, TU-Dresden, Dresden, Germany
| | - Andreas Dahl
- Deep Sequencing Group-SFB655, Biotechnology Center, TU-Dresden, Dresden, Germany
| | - Federico Calegari
- DFG-Research Center for Regenerative Therapies, Cluster of Excellence, TU-Dresden, Dresden, Germany
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34
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Neafsey DE, Waterhouse RM, Abai MR, Aganezov SS, Alekseyev MA, Allen JE, Amon J, Arcà B, Arensburger P, Artemov G, Assour LA, Basseri H, Berlin A, Birren BW, Blandin SA, Brockman AI, Burkot TR, Burt A, Chan CS, Chauve C, Chiu JC, Christensen M, Costantini C, Davidson VLM, Deligianni E, Dottorini T, Dritsou V, Gabriel SB, Guelbeogo WM, Hall AB, Han MV, Hlaing T, Hughes DST, Jenkins AM, Jiang X, Jungreis I, Kakani EG, Kamali M, Kemppainen P, Kennedy RC, Kirmitzoglou IK, Koekemoer LL, Laban N, Langridge N, Lawniczak MKN, Lirakis M, Lobo NF, Lowy E, MacCallum RM, Mao C, Maslen G, Mbogo C, McCarthy J, Michel K, Mitchell SN, Moore W, Murphy KA, Naumenko AN, Nolan T, Novoa EM, O'Loughlin S, Oringanje C, Oshaghi MA, Pakpour N, Papathanos PA, Peery AN, Povelones M, Prakash A, Price DP, Rajaraman A, Reimer LJ, Rinker DC, Rokas A, Russell TL, Sagnon N, Sharakhova MV, Shea T, Simão FA, Simard F, Slotman MA, Somboon P, Stegniy V, Struchiner CJ, Thomas GWC, Tojo M, Topalis P, Tubio JMC, Unger MF, Vontas J, Walton C, Wilding CS, Willis JH, Wu YC, Yan G, Zdobnov EM, Zhou X, Catteruccia F, Christophides GK, Collins FH, Cornman RS, Crisanti A, Donnelly MJ, Emrich SJ, Fontaine MC, Gelbart W, Hahn MW, Hansen IA, Howell PI, Kafatos FC, Kellis M, Lawson D, Louis C, Luckhart S, Muskavitch MAT, Ribeiro JM, Riehle MA, Sharakhov IV, Tu Z, Zwiebel LJ, Besansky NJ. Mosquito genomics. Highly evolvable malaria vectors: the genomes of 16 Anopheles mosquitoes. Science 2014; 347:1258522. [PMID: 25554792 DOI: 10.1126/science.1258522] [Citation(s) in RCA: 380] [Impact Index Per Article: 38.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
Variation in vectorial capacity for human malaria among Anopheles mosquito species is determined by many factors, including behavior, immunity, and life history. To investigate the genomic basis of vectorial capacity and explore new avenues for vector control, we sequenced the genomes of 16 anopheline mosquito species from diverse locations spanning ~100 million years of evolution. Comparative analyses show faster rates of gene gain and loss, elevated gene shuffling on the X chromosome, and more intron losses, relative to Drosophila. Some determinants of vectorial capacity, such as chemosensory genes, do not show elevated turnover but instead diversify through protein-sequence changes. This dynamism of anopheline genes and genomes may contribute to their flexible capacity to take advantage of new ecological niches, including adapting to humans as primary hosts.
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Affiliation(s)
- Daniel E Neafsey
- Genome Sequencing and Analysis Program, Broad Institute, 415 Main Street, Cambridge, MA 02142, USA.
| | - Robert M Waterhouse
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, MA 02139, USA. The Broad Institute of Massachusetts Institute of Technology and Harvard, 415 Main Street, Cambridge, MA 02142, USA. Department of Genetic Medicine and Development, University of Geneva Medical School, Rue Michel-Servet 1, 1211 Geneva, Switzerland. Swiss Institute of Bioinformatics, Rue Michel-Servet 1, 1211 Geneva, Switzerland
| | - Mohammad R Abai
- Department of Medical Entomology and Vector Control, School of Public Health and Institute of Health Researches, Tehran University of Medical Sciences, Tehran, Iran
| | - Sergey S Aganezov
- George Washington University, Department of Mathematics and Computational Biology Institute, 45085 University Drive, Ashburn, VA 20147, USA
| | - Max A Alekseyev
- George Washington University, Department of Mathematics and Computational Biology Institute, 45085 University Drive, Ashburn, VA 20147, USA
| | - James E Allen
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - James Amon
- National Vector Borne Disease Control Programme, Ministry of Health, Tafea Province, Vanuatu
| | - Bruno Arcà
- Department of Public Health and Infectious Diseases, Division of Parasitology, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy
| | - Peter Arensburger
- Department of Biological Sciences, California State Polytechnic-Pomona, 3801 West Temple Avenue, Pomona, CA 91768, USA
| | - Gleb Artemov
- Tomsk State University, 36 Lenina Avenue, Tomsk, Russia
| | - Lauren A Assour
- Department of Computer Science and Engineering, Eck Institute for Global Health, 211B Cushing Hall, University of Notre Dame, Notre Dame, IN 46556, USA
| | - Hamidreza Basseri
- Department of Medical Entomology and Vector Control, School of Public Health and Institute of Health Researches, Tehran University of Medical Sciences, Tehran, Iran
| | - Aaron Berlin
- Genome Sequencing and Analysis Program, Broad Institute, 415 Main Street, Cambridge, MA 02142, USA
| | - Bruce W Birren
- Genome Sequencing and Analysis Program, Broad Institute, 415 Main Street, Cambridge, MA 02142, USA
| | - Stephanie A Blandin
- Inserm, U963, F-67084 Strasbourg, France. CNRS, UPR9022, IBMC, F-67084 Strasbourg, France
| | - Andrew I Brockman
- Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
| | - Thomas R Burkot
- Faculty of Medicine, Health and Molecular Science, Australian Institute of Tropical Health Medicine, James Cook University, Cairns 4870, Australia
| | - Austin Burt
- Department of Life Sciences, Imperial College London, Silwood Park Campus, Ascot SL5 7PY, UK
| | - Clara S Chan
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, MA 02139, USA. The Broad Institute of Massachusetts Institute of Technology and Harvard, 415 Main Street, Cambridge, MA 02142, USA
| | - Cedric Chauve
- Department of Mathematics, Simon Fraser University, 8888 University Drive, Burnaby, BC V5A 1S6, Canada
| | - Joanna C Chiu
- Department of Entomology and Nematology, One Shields Avenue, University of California-Davis, Davis, CA 95616, USA
| | - Mikkel Christensen
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Carlo Costantini
- Institut de Recherche pour le Développement, Unités Mixtes de Recherche Maladies Infectieuses et Vecteurs Écologie, Génétique, Évolution et Contrôle, 911, Avenue Agropolis, BP 64501 Montpellier, France
| | - Victoria L M Davidson
- Division of Biology, Kansas State University, 271 Chalmers Hall, Manhattan, KS 66506, USA
| | - Elena Deligianni
- Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology, Hellas, Nikolaou Plastira 100 GR-70013, Heraklion, Crete, Greece
| | - Tania Dottorini
- Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
| | - Vicky Dritsou
- Centre of Functional Genomics, University of Perugia, Perugia, Italy
| | - Stacey B Gabriel
- Genomics Platform, Broad Institute, 415 Main Street, Cambridge, MA 02142, USA
| | - Wamdaogo M Guelbeogo
- Centre National de Recherche et de Formation sur le Paludisme, Ouagadougou 01 BP 2208, Burkina Faso
| | - Andrew B Hall
- Program of Genetics, Bioinformatics, and Computational Biology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
| | - Mira V Han
- School of Life Sciences, University of Nevada, Las Vegas, NV 89154, USA
| | - Thaung Hlaing
- Department of Medical Research, No. 5 Ziwaka Road, Dagon Township, Yangon 11191, Myanmar
| | - Daniel S T Hughes
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK. Baylor College of Medicine, 1 Baylor Plaza, Houston, TX 77030, USA
| | - Adam M Jenkins
- Boston College, 140 Commonwealth Avenue, Chestnut Hill, MA 02467, USA
| | - Xiaofang Jiang
- Department of Biochemistry, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. Program of Genetics, Bioinformatics, and Computational Biology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
| | - Irwin Jungreis
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, MA 02139, USA. The Broad Institute of Massachusetts Institute of Technology and Harvard, 415 Main Street, Cambridge, MA 02142, USA
| | - Evdoxia G Kakani
- Harvard School of Public Health, Department of Immunology and Infectious Diseases, Boston, MA 02115, USA. Dipartimento di Medicina Sperimentale e Scienze Biochimiche, Università degli Studi di Perugia, Perugia, Italy
| | - Maryam Kamali
- Department of Entomology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
| | - Petri Kemppainen
- Computational Evolutionary Biology Group, Faculty of Life Sciences, University of Manchester, Oxford Road, Manchester M13 9PT, UK
| | - Ryan C Kennedy
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA 94143, USA
| | - Ioannis K Kirmitzoglou
- Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK. Bioinformatics Research Laboratory, Department of Biological Sciences, New Campus, University of Cyprus, CY 1678 Nicosia, Cyprus
| | - Lizette L Koekemoer
- Wits Research Institute for Malaria, Faculty of Health Sciences, and Vector Control Reference Unit, National Institute for Communicable Diseases of the National Health Laboratory Service, Sandringham 2131, Johannesburg, South Africa
| | - Njoroge Laban
- National Museums of Kenya, P.O. Box 40658-00100, Nairobi, Kenya
| | - Nicholas Langridge
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Mara K N Lawniczak
- Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
| | - Manolis Lirakis
- Department of Biology, University of Crete, 700 13 Heraklion, Greece
| | - Neil F Lobo
- Eck Institute for Global Health and Department of Biological Sciences, University of Notre Dame, 317 Galvin Life Sciences Building, Notre Dame, IN 46556, USA
| | - Ernesto Lowy
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Robert M MacCallum
- Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
| | - Chunhong Mao
- Virginia Bioinformatics Institute, 1015 Life Science Circle, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
| | - Gareth Maslen
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Charles Mbogo
- Kenya Medical Research Institute-Wellcome Trust Research Programme, Centre for Geographic Medicine Research - Coast, P.O. Box 230-80108, Kilifi, Kenya
| | - Jenny McCarthy
- Department of Biological Sciences, California State Polytechnic-Pomona, 3801 West Temple Avenue, Pomona, CA 91768, USA
| | - Kristin Michel
- Division of Biology, Kansas State University, 271 Chalmers Hall, Manhattan, KS 66506, USA
| | - Sara N Mitchell
- Harvard School of Public Health, Department of Immunology and Infectious Diseases, Boston, MA 02115, USA
| | - Wendy Moore
- Department of Entomology, 1140 East South Campus Drive, Forbes 410, University of Arizona, Tucson, AZ 85721, USA
| | - Katherine A Murphy
- Department of Entomology and Nematology, One Shields Avenue, University of California-Davis, Davis, CA 95616, USA
| | - Anastasia N Naumenko
- Department of Entomology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
| | - Tony Nolan
- Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
| | - Eva M Novoa
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, MA 02139, USA. The Broad Institute of Massachusetts Institute of Technology and Harvard, 415 Main Street, Cambridge, MA 02142, USA
| | - Samantha O'Loughlin
- Department of Life Sciences, Imperial College London, Silwood Park Campus, Ascot SL5 7PY, UK
| | - Chioma Oringanje
- Department of Entomology, 1140 East South Campus Drive, Forbes 410, University of Arizona, Tucson, AZ 85721, USA
| | - Mohammad A Oshaghi
- Department of Medical Entomology and Vector Control, School of Public Health and Institute of Health Researches, Tehran University of Medical Sciences, Tehran, Iran
| | - Nazzy Pakpour
- Department of Medical Microbiology and Immunology, School of Medicine, University of California Davis, One Shields Avenue, Davis, CA 95616, USA
| | - Philippos A Papathanos
- Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK. Centre of Functional Genomics, University of Perugia, Perugia, Italy
| | - Ashley N Peery
- Department of Entomology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
| | - Michael Povelones
- Department of Pathobiology, University of Pennsylvania School of Veterinary Medicine, 3800 Spruce Street, Philadelphia, PA 19104, USA
| | - Anil Prakash
- Regional Medical Research Centre NE, Indian Council of Medical Research, P.O. Box 105, Dibrugarh-786 001, Assam, India
| | - David P Price
- Department of Biology, New Mexico State University, Las Cruces, NM 88003, USA. Molecular Biology Program, New Mexico State University, Las Cruces, NM 88003, USA
| | - Ashok Rajaraman
- Department of Mathematics, Simon Fraser University, 8888 University Drive, Burnaby, BC V5A 1S6, Canada
| | - Lisa J Reimer
- Department of Vector Biology, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L3 5QA, UK
| | - David C Rinker
- Center for Human Genetics Research, Vanderbilt University Medical Center, Nashville, TN 37235, USA
| | - Antonis Rokas
- Center for Human Genetics Research, Vanderbilt University Medical Center, Nashville, TN 37235, USA. Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA
| | - Tanya L Russell
- Faculty of Medicine, Health and Molecular Science, Australian Institute of Tropical Health Medicine, James Cook University, Cairns 4870, Australia
| | - N'Fale Sagnon
- Centre National de Recherche et de Formation sur le Paludisme, Ouagadougou 01 BP 2208, Burkina Faso
| | - Maria V Sharakhova
- Department of Entomology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
| | - Terrance Shea
- Genome Sequencing and Analysis Program, Broad Institute, 415 Main Street, Cambridge, MA 02142, USA
| | - Felipe A Simão
- Department of Genetic Medicine and Development, University of Geneva Medical School, Rue Michel-Servet 1, 1211 Geneva, Switzerland. Swiss Institute of Bioinformatics, Rue Michel-Servet 1, 1211 Geneva, Switzerland
| | - Frederic Simard
- Institut de Recherche pour le Développement, Unités Mixtes de Recherche Maladies Infectieuses et Vecteurs Écologie, Génétique, Évolution et Contrôle, 911, Avenue Agropolis, BP 64501 Montpellier, France
| | - Michel A Slotman
- Department of Entomology, Texas A&M University, College Station, TX 77807, USA
| | - Pradya Somboon
- Department of Parasitology, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand
| | | | - Claudio J Struchiner
- Fundação Oswaldo Cruz, Avenida Brasil 4365, RJ Brazil. Instituto de Medicina Social, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Gregg W C Thomas
- School of Informatics and Computing, Indiana University, Bloomington, IN 47405, USA
| | - Marta Tojo
- Department of Physiology, School of Medicine, Center for Research in Molecular Medicine and Chronic Diseases, Instituto de Investigaciones Sanitarias, University of Santiago de Compostela, Santiago de Compostela, A Coruña, Spain
| | - Pantelis Topalis
- Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology, Hellas, Nikolaou Plastira 100 GR-70013, Heraklion, Crete, Greece
| | - José M C Tubio
- Wellcome Trust Sanger Institute, Hinxton, Cambridgeshire, CB10 1SA, UK
| | - Maria F Unger
- Eck Institute for Global Health and Department of Biological Sciences, University of Notre Dame, 317 Galvin Life Sciences Building, Notre Dame, IN 46556, USA
| | - John Vontas
- Department of Biology, University of Crete, 700 13 Heraklion, Greece
| | - Catherine Walton
- Computational Evolutionary Biology Group, Faculty of Life Sciences, University of Manchester, Oxford Road, Manchester M13 9PT, UK
| | - Craig S Wilding
- School of Natural Sciences and Psychology, Liverpool John Moores University, Liverpool L3 3AF, UK
| | - Judith H Willis
- Department of Cellular Biology, University of Georgia, Athens, GA 30602, USA
| | - Yi-Chieh Wu
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, MA 02139, USA. The Broad Institute of Massachusetts Institute of Technology and Harvard, 415 Main Street, Cambridge, MA 02142, USA. Department of Computer Science, Harvey Mudd College, Claremont, CA 91711, USA
| | - Guiyun Yan
- Program in Public Health, College of Health Sciences, University of California, Irvine, Hewitt Hall, Irvine, CA 92697, USA
| | - Evgeny M Zdobnov
- Department of Genetic Medicine and Development, University of Geneva Medical School, Rue Michel-Servet 1, 1211 Geneva, Switzerland. Swiss Institute of Bioinformatics, Rue Michel-Servet 1, 1211 Geneva, Switzerland
| | - Xiaofan Zhou
- Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA
| | - Flaminia Catteruccia
- Harvard School of Public Health, Department of Immunology and Infectious Diseases, Boston, MA 02115, USA. Dipartimento di Medicina Sperimentale e Scienze Biochimiche, Università degli Studi di Perugia, Perugia, Italy
| | - George K Christophides
- Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
| | - Frank H Collins
- Eck Institute for Global Health and Department of Biological Sciences, University of Notre Dame, 317 Galvin Life Sciences Building, Notre Dame, IN 46556, USA
| | - Robert S Cornman
- Department of Cellular Biology, University of Georgia, Athens, GA 30602, USA
| | - Andrea Crisanti
- Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK. Centre of Functional Genomics, University of Perugia, Perugia, Italy
| | - Martin J Donnelly
- Department of Vector Biology, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L3 5QA, UK. Malaria Programme, Wellcome Trust Sanger Institute, Cambridge CB10 1SJ, UK
| | - Scott J Emrich
- Department of Computer Science and Engineering, Eck Institute for Global Health, 211B Cushing Hall, University of Notre Dame, Notre Dame, IN 46556, USA
| | - Michael C Fontaine
- Eck Institute for Global Health and Department of Biological Sciences, University of Notre Dame, 317 Galvin Life Sciences Building, Notre Dame, IN 46556, USA. Centre of Evolutionary and Ecological Studies (Marine Evolution and Conservation group), University of Groningen, Nijenborgh 7, NL-9747 AG Groningen, Netherlands
| | - William Gelbart
- Department of Molecular and Cellular Biology, Harvard University, 16 Divinity Avenue, Cambridge, MA 02138, USA
| | - Matthew W Hahn
- Department of Biology, Indiana University, Bloomington, IN 47405, USA. School of Informatics and Computing, Indiana University, Bloomington, IN 47405, USA
| | - Immo A Hansen
- Department of Biology, New Mexico State University, Las Cruces, NM 88003, USA. Molecular Biology Program, New Mexico State University, Las Cruces, NM 88003, USA
| | - Paul I Howell
- Centers for Disease Control and Prevention, 1600 Clifton Road NE MSG49, Atlanta, GA 30329, USA
| | - Fotis C Kafatos
- Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
| | - Manolis Kellis
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, MA 02139, USA. The Broad Institute of Massachusetts Institute of Technology and Harvard, 415 Main Street, Cambridge, MA 02142, USA
| | - Daniel Lawson
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Christos Louis
- Department of Biology, University of Crete, 700 13 Heraklion, Greece. Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology, Hellas, Nikolaou Plastira 100 GR-70013, Heraklion, Crete, Greece. Centre of Functional Genomics, University of Perugia, Perugia, Italy
| | - Shirley Luckhart
- Department of Medical Microbiology and Immunology, School of Medicine, University of California Davis, One Shields Avenue, Davis, CA 95616, USA
| | - Marc A T Muskavitch
- Boston College, 140 Commonwealth Avenue, Chestnut Hill, MA 02467, USA. Biogen Idec, 14 Cambridge Center, Cambridge, MA 02142, USA
| | - José M Ribeiro
- Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, 12735 Twinbrook Parkway, Rockville, MD 20852, USA
| | - Michael A Riehle
- Department of Entomology, 1140 East South Campus Drive, Forbes 410, University of Arizona, Tucson, AZ 85721, USA
| | - Igor V Sharakhov
- Department of Entomology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. Program of Genetics, Bioinformatics, and Computational Biology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
| | - Zhijian Tu
- Program of Genetics, Bioinformatics, and Computational Biology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. Department of Biochemistry, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
| | - Laurence J Zwiebel
- Departments of Biological Sciences and Pharmacology, Institutes for Chemical Biology, Genetics and Global Health, Vanderbilt University and Medical Center, Nashville, TN 37235, USA
| | - Nora J Besansky
- Eck Institute for Global Health and Department of Biological Sciences, University of Notre Dame, 317 Galvin Life Sciences Building, Notre Dame, IN 46556, USA.
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Perner J, Lasserre J, Kinkley S, Vingron M, Chung HR. Inference of interactions between chromatin modifiers and histone modifications: from ChIP-Seq data to chromatin-signaling. Nucleic Acids Res 2014; 42:13689-95. [PMID: 25414326 PMCID: PMC4267652 DOI: 10.1093/nar/gku1234] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Chromatin modifiers and histone modifications are components of a chromatin-signaling network involved in transcription and its regulation. The interactions between chromatin modifiers and histone modifications are often unknown, are based on the analysis of few genes or are studied in vitro. Here, we apply computational methods to recover interactions between chromatin modifiers and histone modifications from genome-wide ChIP-Seq data. These interactions provide a high-confidence backbone of the chromatin-signaling network. Many recovered interactions have literature support; others provide hypotheses about yet unknown interactions. We experimentally verified two of these predicted interactions, leading to a link between H4K20me1 and members of the Polycomb Repressive Complexes 1 and 2. Our results suggest that our computationally derived interactions are likely to lead to novel biological insights required to establish the connectivity of the chromatin-signaling network involved in transcription and its regulation.
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Affiliation(s)
- Juliane Perner
- Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Ihnestrasse 63-73, 14195 Berlin, Germany
| | - Julia Lasserre
- Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Ihnestrasse 63-73, 14195 Berlin, Germany
| | - Sarah Kinkley
- Otto-Warburg-Laboratories Epigenomics, Max Planck Institute for Molecular Genetics, Ihnestrasse 63-73, 14195 Berlin, Germany
| | - Martin Vingron
- Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Ihnestrasse 63-73, 14195 Berlin, Germany
| | - Ho-Ryun Chung
- Otto-Warburg-Laboratories Epigenomics, Max Planck Institute for Molecular Genetics, Ihnestrasse 63-73, 14195 Berlin, Germany
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Schoborg T, Labrador M. Expanding the roles of chromatin insulators in nuclear architecture, chromatin organization and genome function. Cell Mol Life Sci 2014; 71:4089-113. [PMID: 25012699 PMCID: PMC11113341 DOI: 10.1007/s00018-014-1672-6] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2014] [Revised: 05/31/2014] [Accepted: 06/23/2014] [Indexed: 01/08/2023]
Abstract
Of the numerous classes of elements involved in modulating eukaryotic chromosome structure and function, chromatin insulators arguably remain the most poorly understood in their contribution to these processes in vivo. Indeed, our view of chromatin insulators has evolved dramatically since their chromatin boundary and enhancer blocking properties were elucidated roughly a quarter of a century ago as a result of recent genome-wide, high-throughput methods better suited to probing the role of these elements in their native genomic contexts. The overall theme that has emerged from these studies is that chromatin insulators function as general facilitators of higher-order chromatin loop structures that exert both physical and functional constraints on the genome. In this review, we summarize the result of recent work that supports this idea as well as a number of other studies linking these elements to a diverse array of nuclear processes, suggesting that chromatin insulators exert master control over genome organization and behavior.
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Affiliation(s)
- Todd Schoborg
- Department of Biochemistry, Cellular and Molecular Biology, The University of Tennessee, M407 Walters Life Sciences, 1414 Cumberland Avenue, Knoxville, TN 37996 USA
- Present Address: Laboratory of Molecular Machines and Tissue Architecture, Cell Biology and Physiology Center, National Heart, Lung and Blood Institute, National Institutes of Health, 50 South Dr Rm 2122, Bethesda, MD 20892 USA
| | - Mariano Labrador
- Department of Biochemistry, Cellular and Molecular Biology, The University of Tennessee, M407 Walters Life Sciences, 1414 Cumberland Avenue, Knoxville, TN 37996 USA
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Abstract
The widespread adoption of short-read DNA sequencing as a digital epigenomic readout platform has motivated the development of genome-wide tools that achieve base-pair resolution. New methods for footprinting and affinity purification of nucleosomes, RNA polymerases, chromatin remodellers and transcription factors have increased the resolution of epigenomic profiling by two orders of magnitude, leading to new insights into how the chromatin landscape affects gene regulation. These digital epigenomic tools have also been applied to directly profile both turnover kinetics and transcription in situ. In this Review, we describe how these new genome-wide tools allow interrogation of diverse aspects of the epigenome.
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38
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Zhou J, Troyanskaya OG. Global quantitative modeling of chromatin factor interactions. PLoS Comput Biol 2014; 10:e1003525. [PMID: 24675896 PMCID: PMC3967939 DOI: 10.1371/journal.pcbi.1003525] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2013] [Accepted: 02/05/2014] [Indexed: 11/18/2022] Open
Abstract
Chromatin is the driver of gene regulation, yet understanding the molecular interactions underlying chromatin factor combinatorial patterns (or the “chromatin codes”) remains a fundamental challenge in chromatin biology. Here we developed a global modeling framework that leverages chromatin profiling data to produce a systems-level view of the macromolecular complex of chromatin. Our model ultilizes maximum entropy modeling with regularization-based structure learning to statistically dissect dependencies between chromatin factors and produce an accurate probability distribution of chromatin code. Our unsupervised quantitative model, trained on genome-wide chromatin profiles of 73 histone marks and chromatin proteins from modENCODE, enabled making various data-driven inferences about chromatin profiles and interactions. We provided a highly accurate predictor of chromatin factor pairwise interactions validated by known experimental evidence, and for the first time enabled higher-order interaction prediction. Our predictions can thus help guide future experimental studies. The model can also serve as an inference engine for predicting unknown chromatin profiles — we demonstrated that with this approach we can leverage data from well-characterized cell types to help understand less-studied cell type or conditions. Chromatin, like many other molecular biological systems, is composed of multiple interacting factors. Our knowledge about chromatin factors is mostly qualitative, and such qualitative knowledge can be insufficient for predicting collective behaviors. It's also extremely challenging to study collective behaviors involving multiple interacting factors through genetic and biochemical experiments. An alternative approach is to leverage large-scale genome-wide chromatin profiles and statistical modeling to create predictive models and infer underlying interaction mechanisms based on these observed high-throughput data. In this study, we developed a novel maximum entropy-based modeling approach to quantitatively capture interactions between chromatin factors at the same genomic location, which we see as a step toward quantitative understanding of chromatin organization that involves a system of multiple interacting factors. We applied this quantitative model to successfully infer functional properties of chromatin including interactions between chromatin factors. Furthermore, the model predicts unmeasured chromatin profiles with high accuracy based on its inferred dependencies with other factors within and across cell-types. Thus our modeling approach effectively ultilizes large-scale chromatin profiles to dissect chromatin factor interactions and to make data-driven inferences about chromatin regulation.
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Affiliation(s)
- Jian Zhou
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, United States of America
- Graduate Program in Quantitative and Computational Biology, Princeton University, Princeton, New Jersey, United States of America
| | - Olga G. Troyanskaya
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, United States of America
- Department of Computer Science, Princeton University, Princeton, New Jersey, United States of America
- * E-mail:
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Kustatscher G, Hégarat N, Wills KLH, Furlan C, Bukowski-Wills JC, Hochegger H, Rappsilber J. Proteomics of a fuzzy organelle: interphase chromatin. EMBO J 2014; 33:648-64. [PMID: 24534090 PMCID: PMC3983682 DOI: 10.1002/embj.201387614] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2013] [Revised: 01/12/2014] [Accepted: 01/14/2014] [Indexed: 12/30/2022] Open
Abstract
Chromatin proteins mediate replication, regulate expression, and ensure integrity of the genome. So far, a comprehensive inventory of interphase chromatin has not been determined. This is largely due to its heterogeneous and dynamic composition, which makes conclusive biochemical purification difficult, if not impossible. As a fuzzy organelle, it defies classical organellar proteomics and cannot be described by a single and ultimate list of protein components. Instead, we propose a new approach that provides a quantitative assessment of a protein's probability to function in chromatin. We integrate chromatin composition over a range of different biochemical and biological conditions. This resulted in interphase chromatin probabilities for 7635 human proteins, including 1840 previously uncharacterized proteins. We demonstrate the power of our large-scale data-driven annotation during the analysis of cyclin-dependent kinase (CDK) regulation in chromatin. Quantitative protein ontologies may provide a general alternative to list-based investigations of organelles and complement Gene Ontology.
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Affiliation(s)
- Georg Kustatscher
- Wellcome Trust Centre for Cell Biology, University of EdinburghEdinburgh, UK
| | - Nadia Hégarat
- Genome Damage and Stability Centre, University of SussexBrighton, UK
| | - Karen L H Wills
- Wellcome Trust Centre for Cell Biology, University of EdinburghEdinburgh, UK
| | - Cristina Furlan
- Wellcome Trust Centre for Cell Biology, University of EdinburghEdinburgh, UK
| | | | - Helfrid Hochegger
- Genome Damage and Stability Centre, University of SussexBrighton, UK
| | - Juri Rappsilber
- Wellcome Trust Centre for Cell Biology, University of EdinburghEdinburgh, UK
- Department of Biotechnology, Technische Universität BerlinBerlin, Germany
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40
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Transcriptional enhancers: from properties to genome-wide predictions. Nat Rev Genet 2014; 15:272-86. [PMID: 24614317 DOI: 10.1038/nrg3682] [Citation(s) in RCA: 919] [Impact Index Per Article: 91.9] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Cellular development, morphology and function are governed by precise patterns of gene expression. These are established by the coordinated action of genomic regulatory elements known as enhancers or cis-regulatory modules. More than 30 years after the initial discovery of enhancers, many of their properties have been elucidated; however, despite major efforts, we only have an incomplete picture of enhancers in animal genomes. In this Review, we discuss how properties of enhancer sequences and chromatin are used to predict enhancers in genome-wide studies. We also cover recently developed high-throughput methods that allow the direct testing and identification of enhancers on the basis of their activity. Finally, we discuss recent technological advances and current challenges in the field of regulatory genomics.
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41
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Font-Burgada J, Reina O, Rossell D, Azorín F. chroGPS, a global chromatin positioning system for the functional analysis and visualization of the epigenome. Nucleic Acids Res 2014; 42:2126-37. [PMID: 24271395 PMCID: PMC3936722 DOI: 10.1093/nar/gkt1186] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2013] [Revised: 10/31/2013] [Accepted: 11/02/2013] [Indexed: 11/15/2022] Open
Abstract
Development of tools to jointly visualize the genome and the epigenome remains a challenge. chroGPS is a computational approach that addresses this question. chroGPS uses multidimensional scaling techniques to represent similarity between epigenetic factors, or between genetic elements on the basis of their epigenetic state, in 2D/3D reference maps. We emphasize biological interpretability, statistical robustness, integration of genetic and epigenetic data from heterogeneous sources, and computational feasibility. Although chroGPS is a general methodology to create reference maps and study the epigenetic state of any class of genetic element or genomic region, we focus on two specific kinds of maps: chroGPS(factors), which visualizes functional similarities between epigenetic factors, and chroGPS(genes), which describes the epigenetic state of genes and integrates gene expression and other functional data. We use data from the modENCODE project on the genomic distribution of a large collection of epigenetic factors in Drosophila, a model system extensively used to study genome organization and function. Our results show that the maps allow straightforward visualization of relationships between factors and elements, capturing relevant information about their functional properties that helps to interpret epigenetic information in a functional context and derive testable hypotheses.
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Affiliation(s)
- Joan Font-Burgada
- Institute of Molecular Biology of Barcelona, CSIC, Baldiri Rexac, 10, 08028 Barcelona, Spain, Institute for Research in Biomedicine, IRB Barcelona, Baldiri Reixac, 10, 08028 Barcelona, Spain and Department of Statistics, University of Warwick, Coventry CV4 7AL, UK
| | - Oscar Reina
- Institute of Molecular Biology of Barcelona, CSIC, Baldiri Rexac, 10, 08028 Barcelona, Spain, Institute for Research in Biomedicine, IRB Barcelona, Baldiri Reixac, 10, 08028 Barcelona, Spain and Department of Statistics, University of Warwick, Coventry CV4 7AL, UK
| | - David Rossell
- Institute of Molecular Biology of Barcelona, CSIC, Baldiri Rexac, 10, 08028 Barcelona, Spain, Institute for Research in Biomedicine, IRB Barcelona, Baldiri Reixac, 10, 08028 Barcelona, Spain and Department of Statistics, University of Warwick, Coventry CV4 7AL, UK
| | - Fernando Azorín
- Institute of Molecular Biology of Barcelona, CSIC, Baldiri Rexac, 10, 08028 Barcelona, Spain, Institute for Research in Biomedicine, IRB Barcelona, Baldiri Reixac, 10, 08028 Barcelona, Spain and Department of Statistics, University of Warwick, Coventry CV4 7AL, UK
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42
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Andreyenkova NG, Kolesnikova TD, Makunin IV, Pokholkova GV, Boldyreva LV, Zykova TY, Zhimulev IF, Belyaeva ES. Late replication domains are evolutionary conserved in the Drosophila genome. PLoS One 2013; 8:e83319. [PMID: 24391753 PMCID: PMC3877026 DOI: 10.1371/journal.pone.0083319] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2013] [Accepted: 11/01/2013] [Indexed: 12/20/2022] Open
Abstract
Drosophila chromosomes are organized into distinct domains differing in their predominant chromatin composition, replication timing and evolutionary conservation. We show on a genome-wide level that genes whose order has remained unaltered across 9 Drosophila species display late replication timing and frequently map to the regions of repressive chromatin. This observation is consistent with the existence of extensive domains of repressive chromatin that replicate extremely late and have conserved gene order in the Drosophila genome. We suggest that such repressive chromatin domains correspond to a handful of regions that complete replication at the very end of S phase. We further demonstrate that the order of genes in these regions is rarely altered in evolution. Substantial proportion of such regions significantly coincide with large synteny blocks. This indicates that there are evolutionary mechanisms maintaining the integrity of these late-replicating chromatin domains. The synteny blocks corresponding to the extremely late-replicating regions in the D. melanogaster genome consistently display two-fold lower gene density across different Drosophila species.
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Affiliation(s)
- Natalya G. Andreyenkova
- Institute of Molecular and Cellular Biology, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - Tatyana D. Kolesnikova
- Institute of Molecular and Cellular Biology, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - Igor V. Makunin
- Institute of Molecular and Cellular Biology, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
- Research Computing Centre, The University of Queensland, Brisbane, St Lucia, QLD, Australia
| | - Galina V. Pokholkova
- Institute of Molecular and Cellular Biology, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - Lidiya V. Boldyreva
- Institute of Molecular and Cellular Biology, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - Tatyana Yu. Zykova
- Institute of Molecular and Cellular Biology, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - Igor F. Zhimulev
- Institute of Molecular and Cellular Biology, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
- * E-mail:
| | - Elena S. Belyaeva
- Institute of Molecular and Cellular Biology, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
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43
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Soshnev AA, Baxley RM, Manak JR, Tan K, Geyer PK. The insulator protein Suppressor of Hairy-wing is an essential transcriptional repressor in the Drosophila ovary. Development 2013; 140:3613-23. [PMID: 23884443 DOI: 10.1242/dev.094953] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
Suppressor of Hairy-wing [Su(Hw)] is a DNA-binding factor required for gypsy insulator function and female germline development in Drosophila. The insulator function of the gypsy retrotransposon depends on Su(Hw) binding to clustered Su(Hw) binding sites (SBSs) and recruitment of the insulator proteins Centrosomal Protein 190 kD (CP190) and Modifier of mdg4 67.2 kD (Mod67.2). By contrast, the Su(Hw) germline function involves binding to non-clustered SBSs and does not require CP190 or Mod67.2. Here, we identify Su(Hw) target genes, using genome-wide analyses in the ovary to uncover genes with an ovary-bound SBS that are misregulated upon Su(Hw) loss. Most Su(Hw) target genes demonstrate enriched expression in the wild-type CNS. Loss of Su(Hw) leads to increased expression of these CNS-enriched target genes in the ovary and other tissues, suggesting that Su(Hw) is a repressor of neural genes in non-neural tissues. Among the Su(Hw) target genes is RNA-binding protein 9 (Rbp9), a member of the ELAV/Hu gene family. Su(Hw) regulation of Rbp9 appears to be insulator independent, as Rbp9 expression is unchanged in a genetic background that compromises the functions of the CP190 and Mod67.2 insulator proteins, even though both localize to Rbp9 SBSs. Rbp9 misregulation is central to su(Hw)(-/-) sterility, as Rbp9(+/-), su(Hw)(-/-) females are fertile. Eggs produced by Rbp9(+/-), su(Hw)(-/-) females show patterning defects, revealing a somatic requirement for Su(Hw) in the ovary. Our studies demonstrate that Su(Hw) is a versatile transcriptional regulatory protein with an essential developmental function involving transcriptional repression.
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Affiliation(s)
- Alexey A Soshnev
- Interdisciplinary Graduate Program in Molecular and Cellular Biology, University of Iowa, Iowa City, IA 52242, USA
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44
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Chen HV, Rando OJ. Painting by numbers: increasing the parts list for chromatin domains. Mol Cell 2013; 49:620-1. [PMID: 23438859 DOI: 10.1016/j.molcel.2013.02.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
In this issue of Molecular Cell, van Bemmel and colleagues (2013) report the genome-wide mapping of 42 novel chromatin factors, systematically identifying new components of the various chromatin domains present in fly cells.
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Affiliation(s)
- Hsiuyi V Chen
- Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, 364 Plantation Street, Worcester, MA 01605, USA
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