19 results on '"Vanja Haberle"'
Search Results
2. Functionally distinct promoter classes initiate transcription via different mechanisms reflected in focused versus dispersed initiation patterns
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Leonid Serebreni, Lisa‐Marie Pleyer, Vanja Haberle, Oliver Hendy, Anna Vlasova, Vincent Loubiere, Filip Nemčko, Katharina Bergauer, Elisabeth Roitinger, Karl Mechtler, and Alexander Stark
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General Immunology and Microbiology ,General Neuroscience ,Molecular Biology ,General Biochemistry, Genetics and Molecular Biology - Abstract
Recruitment of RNA polymerase II (Pol II) to promoter regions is essential for transcription. Despite conflicting evidence, the Pol II Pre-Initiation Complex (PIC) is often thought to be of uniform composition and assemble at all promoters via an identical mechanism. Here, we show usingDrosophila melanogasterS2 cells as a model that promoter classes with distinct functions and initiation patterns function via PICs that display different compositions and dependencies: developmental promoter DNA readily associates with the canonical Pol II PIC, whereas housekeeping promoter DNA does not and instead recruit different factors such as DREF. Consistently, TBP and DREF are required by distinct sets of promoters, and TBP and its paralog TRF2 function at different promoter types, partly exclusively and partly redundantly. In contrast, TFIIA is required for transcription from all promoters, and we identify factors that can recruit and/or stabilize TFIIA at housekeeping promoters and activate transcription. We show that promoter activation by these factors is sufficient to induce the dispersed transcription initiation patterns characteristic of housekeeping promoters. Thus, different promoter classes direct distinct mechanisms of transcription initiation, which relate to different focused versus dispersed initiation patterns.
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- 2022
3. Transcriptional cofactors display specificity for distinct types of core promoters
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Alexander Stark, Michaela Pagani, Cosmas D. Arnold, Martina Rath, Katharina Schernhuber, and Vanja Haberle
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Transcriptional Activation ,Transcription, Genetic ,TATA box ,Biology ,Article ,Cell Line ,Substrate Specificity ,Histones ,03 medical and health sciences ,0302 clinical medicine ,Animals ,Humans ,Promoter Regions, Genetic ,Enhancer ,030304 developmental biology ,0303 health sciences ,Multidisciplinary ,Schneider 2 cells ,Downstream promoter element ,Promoter ,biology.organism_classification ,TATA Box ,Chromatin ,Cell biology ,Drosophila melanogaster ,Enhancer Elements, Genetic ,H3K4me3 ,CpG Islands ,Transcription Initiation Site ,030217 neurology & neurosurgery ,Transcription Factors - Abstract
Transcriptional cofactors (COFs) communicate regulatory cues from enhancers to promoters and are central effectors of transcription activation and gene expression1. Although some COFs have been shown to prefer certain promoter types2–5 over others (for example, see refs 6,7), the extent to which different COFs display intrinsic specificities for distinct promoters is unclear. Here we use a high-throughput promoter-activity assay in Drosophila melanogaster S2 cells to screen 23 COFs for their ability to activate 72,000 candidate core promoters (CPs). We observe differential activation of CPs, indicating distinct regulatory preferences or ‘compatibilities’8,9 between COFs and specific types of CPs. These functionally distinct CP types are differentially enriched for known sequence elements2,4, such as the TATA box, downstream promoter element (DPE) or TCT motif, and display distinct chromatin properties at endogenous loci. Notably, the CP types differ in their relative abundance of H3K4me3 and H3K4me1 marks (see also refs 10–12), suggesting that these histone modifications might distinguish trans-regulatory factors rather than promoter- versus enhancer-type cis-regulatory elements. We confirm the existence of distinct COF–CP compatibilities in two additional Drosophila cell lines and in human cells, for which we find COFs that prefer TATA-box or CpG-island promoters, respectively. Distinct compatibilities between COFs and promoters can explain how different enhancers specifically activate distinct sets of genes9, alternative promoters within the same genes, and distinct transcription start sites within the same promoter13. Thus, COF–promoter compatibilities may underlie distinct transcriptional programs in species as divergent as flies and humans. A screen of 23 transcriptional cofactors for their ability to activate 72,000 candidate core promoters in Drosophila melanogaster identified distinct compatibility groups, providing insight into mechanisms that underlie the selective activation of transcriptional programs.
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- 2019
4. Differential cofactor dependencies define distinct types of human enhancers
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Christoph Neumayr, Vanja Haberle, Leonid Serebreni, Katharina Karner, Oliver Hendy, Ann Boija, Jonathan E. Henninger, Charles H. Li, Karel Stejskal, Gen Lin, Katharina Bergauer, Michaela Pagani, Martina Rath, Karl Mechtler, Cosmas D. Arnold, and Alexander Stark
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Multidisciplinary ,Enhancer Elements, Genetic ,Humans ,Nuclear Proteins ,Cell Cycle Proteins ,Tumor Suppressor Protein p53 ,Chromatin ,Transcription Factors - Abstract
All multicellular organisms rely on differential gene transcription regulated by genomic enhancers, which function through cofactors that are recruited by transcription factors
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- 2020
5. Eukaryotic core promoters and the functional basis of transcription initiation
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Vanja Haberle and Alexander Stark
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0301 basic medicine ,Transcription, Genetic ,RNA polymerase II ,Computational biology ,Biology ,Article ,03 medical and health sciences ,Transcription (biology) ,Animals ,Humans ,Enhancer ,Promoter Regions, Genetic ,Molecular Biology ,Transcription factor ,Gene ,Transcription Initiation, Genetic ,Regulation of gene expression ,Eukaryota ,Promoter ,Cell Biology ,DNA ,Chromatin ,030104 developmental biology ,Gene Expression Regulation ,biology.protein ,RNA Polymerase II ,Transcription Factors - Abstract
RNA polymerase II (Pol II) core promoters are specialized DNA sequences at transcription start sites of protein-coding and non-coding genes that support the assembly of the transcription machinery and transcription initiation. They enable the highly regulated transcription of genes by selectively receiving and integrating regulatory cues from distal enhancers and associated regulatory proteins. In this Review we discuss the defining properties of gene core promoters, including their sequence features, chromatin architecture, and transcription initiation patterns. We provide an overview of molecular mechanisms underlying the function and regulation of core promoters and their emerging functional diversity, which defines distinct transcription programmes. Based on the established properties of gene core promoters, we discuss transcription start sites within enhancers and integrate recent results obtained from dedicated functional assays to propose a functional model of transcription initiation. This model can explain the nature and function of transcription initiation at gene starts and at enhancers and the different functional roles of core promoters, of RNA polymerase II and its associated factors and of the activating cues provided by enhancers and the transcription factors and cofactors they recruit.
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- 2018
6. STARR-seq Screening protocol
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Felix Muerdter, Łukasz M. Boryń, Ashley R. Woodfin, Christoph Neumayr, Martina Rath, Muhammad A. Zabidi, Michaela Pagani, Vanja Haberle, Tomáš Kazmar, Rui R. Catarino, Katharina Schernhuber, Cosmas D. Arnold, and Alexander Stark
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0301 basic medicine ,Protocol (science) ,03 medical and health sciences ,030104 developmental biology ,Computer science ,General Earth and Planetary Sciences ,Computational biology ,General Environmental Science - Published
- 2017
7. qPCR assay to measure ISG expression in human cells
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Felix Muerdter, Łukasz M. Boryń, Ashley R. Woodfin, Christoph Neumayr, Martina Rath, Muhammad A. Zabidi, Michaela Pagani, Vanja Haberle, Tomáš Kazmar, Rui R. Catarino, Katharina Schernhuber, Cosmas D. Arnold, and Alexander Stark
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0301 basic medicine ,03 medical and health sciences ,030104 developmental biology ,Expression (architecture) ,Measure (physics) ,General Earth and Planetary Sciences ,Biology ,Molecular biology ,General Environmental Science - Published
- 2017
8. qPCR based reporter assay on luciferase transcripts
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Felix Muerdter, Łukasz M. Boryń, Ashley R. Woodfin, Christoph Neumayr, Martina Rath, Muhammad A. Zabidi, Michaela Pagani, Vanja Haberle, Tomáš Kazmar, Rui R. Catarino, Katharina Schernhuber, Cosmas D. Arnold, and Alexander Stark
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0301 basic medicine ,03 medical and health sciences ,Reporter gene ,030104 developmental biology ,Chemistry ,General Earth and Planetary Sciences ,Luciferase ,Molecular biology ,General Environmental Science - Published
- 2017
9. STARR-seq Library Preparation
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Felix Muerdter, Łukasz M. Boryń, Ashley R. Woodfin, Christoph Neumayr, Martina Rath, Muhammad A. Zabidi, Michaela Pagani, Vanja Haberle, Tomáš Kazmar, Rui R. Catarino, Katharina Schernhuber, Cosmas D. Arnold, and Alexander Stark
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0301 basic medicine ,03 medical and health sciences ,030104 developmental biology ,Computer science ,Library preparation ,General Earth and Planetary Sciences ,Computational biology ,General Environmental Science - Published
- 2017
10. Epigenetic reprogramming enables the transition from primordial germ cell to gonocyte
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Yu Zheng, Peter W. S. Hill, Hakan Bagci, Sriharsa Pradhan, Jolyon Terragni, Vanja Haberle, Monica Roman-Trufero, Malgorzata Borkowska, Cristina E. Requena, Harry G. Leitch, Gopuraja Dharmalingham, Zhiyi Sun, Rachel Amouroux, Romualdas Vaisvila, Boris Lenhard, Sarah Linnett, Petra Hajkova, Commission of the European Communities, EMBO, Medical Research Council (MRC), and Wellcome Trust
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DYNAMICS ,CHROMATIN ,0301 basic medicine ,Male ,endocrine system ,TET PROTEINS ,General Science & Technology ,Cellular differentiation ,Biology ,DEMETHYLATION ,Germline ,Gametogenesis ,Epigenesis, Genetic ,03 medical and health sciences ,chemistry.chemical_compound ,Mice ,Proto-Oncogene Proteins ,Animals ,Epigenetics ,5-Hydroxymethylcytosine ,Science & Technology ,Multidisciplinary ,GENOME-WIDE ,IN-VITRO ,PROMOTER DNA METHYLATION ,DNA Methylation ,Cellular Reprogramming ,Cell biology ,Multidisciplinary Sciences ,DNA-Binding Proteins ,Meiosis ,DIFFERENTIATION ,030104 developmental biology ,DNA demethylation ,Germ Cells ,chemistry ,DNA methylation ,5-Methylcytosine ,Science & Technology - Other Topics ,5-HYDROXYMETHYLCYTOSINE ,Female ,Gamete generation ,EMBRYONIC STEM-CELLS ,Reprogramming - Abstract
Gametes are highly specialized cells that can give rise to the next generation through their ability to generate a totipotent zygote. In mice, germ cells are first specified in the developing embryo around embryonic day (E) 6.25 as primordial germ cells (PGCs)1. Following subsequent migration into the developing gonad, PGCs undergo a wave of extensive epigenetic reprogramming around E10.5–E11.52,3,4,5,6,7,8,9,10,11, including genome-wide loss of 5-methylcytosine2,3,4,5,7,8,9,10,11. The underlying molecular mechanisms of this process have remained unclear, leading to our inability to recapitulate this step of germline development in vitro12,13,14. Here we show, using an integrative approach, that this complex reprogramming process involves coordinated interplay among promoter sequence characteristics, DNA (de)methylation, the polycomb (PRC1) complex and both DNA demethylation-dependent and -independent functions of TET1 to enable the activation of a critical set of germline reprogramming-responsive genes involved in gamete generation and meiosis. Our results also reveal an unexpected role for TET1 in maintaining but not driving DNA demethylation in gonadal PGCs. Collectively, our work uncovers a fundamental biological role for gonadal germline reprogramming and identifies the epigenetic principles of the PGC-to-gonocyte transition that will help to guide attempts to recapitulate complete gametogenesis in vitro.
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- 2017
11. Coordinating the Human Looks
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Alexander Stark and Vanja Haberle
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Genetics ,Cognitive science ,Biochemistry, Genetics and Molecular Biology(all) ,Facial morphology ,Biology ,General Biochemistry, Genetics and Molecular Biology - Abstract
Prescott et al. take a step forward in studying primate morphological evolution by a cellular anthropology approach. Through epigenomic profiling of in-vitro-derived cells, the authors identify and characterize candidate cis-regulatory elements underlying divergence in facial morphology between human and chimp, shedding new light on what makes us (look) human.
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- 2015
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12. Promoter architectures and developmental gene regulation
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Boris Lenhard, Vanja Haberle, and Biotechnology and Biological Sciences Research Council (BBSRC)
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0301 basic medicine ,Transcription, Genetic ,RNA polymerase II ,Computational biology ,Epigenesis, Genetic ,03 medical and health sciences ,0302 clinical medicine ,Transcriptional regulation ,Transcription (biology) ,1114 Paediatrics And Reproductive Medicine ,Nucleosome ,Animals ,Humans ,Promoter Regions, Genetic ,Core promoter ,Overlapping codes ,Genetics ,Regulation of gene expression ,biology ,Base Sequence ,Models, Genetic ,Gene Expression Regulation, Developmental ,0601 Biochemistry And Cell Biology ,Promoter ,Cell Biology ,Chromatin ,030104 developmental biology ,Histone ,CAGE ,biology.protein ,Transcription start sites ,Promoter types ,030217 neurology & neurosurgery ,Developmental Biology - Abstract
Core promoters are minimal regions sufficient to direct accurate initiation of transcription and are crucial for regulation of gene expression. They are highly diverse in terms of associated core promoter motifs, underlying sequence composition and patterns of transcription initiation. Distinctive features of promoters are also seen at the chromatin level, including nucleosome positioning patterns and presence of specific histone modifications. Recent advances in identifying and characterizing promoters using next-generation sequencing-based technologies have provided the basis for their classification into functional groups and have shed light on their modes of regulation, with important implications for transcriptional regulation in development. This review discusses the methodology and the results of genome-wide studies that provided insight into the diversity of RNA polymerase II promoter architectures in vertebrates and other Metazoa, and the association of these architectures with distinct modes of regulation in embryonic development and differentiation.
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- 2016
13. Dissecting genomic regulatory elements in vivo
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Boris Lenhard and Vanja Haberle
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In vivo ,Regulatory sequence ,Resolution (electron density) ,Biomedical Engineering ,Gene regulatory network ,Molecular Medicine ,Bioengineering ,Computational biology ,Biology ,Applied Microbiology and Biotechnology ,Transcription factor ,Biotechnology ,Cell biology - Abstract
Three high-throughput methods allow regulatory sequences to be analyzed at single-nucleotide resolution in living cells.
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- 2012
14. Dynamic regulation of the transcription initiation landscape at single nucleotide resolution during vertebrate embryogenesis
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Ying Sheng, Ana Maria M. Suzuki, Vanja Haberle, Wilfred F. J. van IJcken, Hazuki Takahashi, Antoine van der Sloot, Olivier Armant, Christel E M Kockx, Ferenc Müller, Santosh Anand, Boris Lenhard, Rehab F. Abdelhamid, Jochen Gehrig, Piero Carninci, Christopher Previti, Yavor Hadzhiev, Chirag Nepal, Altuna Akalin, Sepand Rastegar, Nan Li, Elia Stupka, Uwe Strähle, Craig A. Watson, and Cell biology
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Resource ,RNA Caps ,RNA Splicing ,Embryonic Development ,Computational biology ,Evolution, Molecular ,Gene expression ,Genetics ,Animals ,Tetraodon ,Promoter Regions, Genetic ,Gene ,Zebrafish ,Genetics (clinical) ,Phylogeny ,Regulation of gene expression ,Genome ,biology ,Gene Expression Profiling ,Gene Expression Regulation, Developmental ,Promoter ,biology.organism_classification ,Cap analysis gene expression ,Gene expression profiling ,Genes ,Purines ,Vertebrates ,RNA ,Transcription Initiation Site ,Transcriptome - Abstract
Spatiotemporal control of gene expression is central to animal development. Core promoters represent a previously unanticipated regulatory level by interacting with cis-regulatory elements and transcription initiation in different physiological and developmental contexts. Here, we provide a first and comprehensive description of the core promoter repertoire and its dynamic use during the development of a vertebrate embryo. By using cap analysis of gene expression (CAGE), we mapped transcription initiation events at single nucleotide resolution across 12 stages of zebrafish development. These CAGE-based transcriptome maps reveal genome-wide rules of core promoter usage, structure, and dynamics, key to understanding the control of gene regulation during vertebrate ontogeny. They revealed the existence of multiple classes of pervasive intra- and intergenic post-transcriptionally processed RNA products and their developmental dynamics. Among these RNAs, we report splice donor site-associated intronic RNA (sRNA) to be specific to genes of the splicing machinery. For the identification of conserved features, we compared the zebrafish data sets to the first CAGE promoter map of Tetraodon and the existing human CAGE data. We show that a number of features, such as promoter type, newly discovered promoter properties such as a specialized purine-rich initiator motif, as well as sRNAs and the genes in which they are detected, are conserved in mammalian and Tetraodon CAGE-defined promoter maps. The zebrafish developmental promoterome represents a powerful resource for studying developmental gene regulation and revealing promoter features shared across vertebrates.
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- 2013
15. Genomewide DNA Methylation Analysis Identifies Novel Methylated Genes in Non-Small-Cell Lung Carcinomas
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Sjaak Philipsen, Frank Grosveld, Joachim G.J.V. Aerts, Vanja Haberle, Rejane Hughes Carvalho, Jun Hou, Boris Lenhard, Gastroenterology & Hepatology, Pulmonary Medicine, and Cell biology
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Genetic Markers ,Pulmonary and Respiratory Medicine ,Lung Neoplasms ,Adenocarcinoma ,Biology ,Epigenesis, Genetic ,law.invention ,Predictive Value of Tests ,law ,Carcinoma, Non-Small-Cell Lung ,Biomarkers, Tumor ,Carcinoma ,medicine ,Humans ,Epigenetics ,Polymerase chain reaction ,Genetics ,epigenetic markers ,MSP ,Cancer ,Methylation ,DNA Methylation ,medicine.disease ,non–small-cell lung cancer ,Phenotype ,Differentially methylated regions ,ROC Curve ,Oncology ,Genetic marker ,Area Under Curve ,DNA methylation ,genomewide ,Carcinoma, Squamous Cell ,Cancer research ,Genome-Wide Association Study - Abstract
Introduction DNA methylation is part of the epigenetic regulatory mechanism present in all normal cells. It is tissue-specific and stably maintained throughout development, but often abnormally changed in cancer. Non–small-cell lung carcinoma (NSCLC) is the most deadly type of cancer, involving different tumor subtypes. This heterogeneity is a challenge for correct diagnosis and patient treatment. The stability and specificity make of DNA methylation a very suitable marker for epigenetic phenotyping of tumors. Methods To identify candidate markers for use in NSCLC diagnosis, we used genomewide DNA methylation maps that we had previously generated by MethylCap and next-generation sequencing and listed the most significant differentially methylated regions (DMRs). The 25 DMRs with highest significance in their methylation scores were selected. The methylation status of these DMRs was investigated in 61 tumors and matching control lung tissues by methylation-specific polymerase chain reaction. Results We found 12 novel DMRs that showed significant differences between tumor and control lung tissues. We also identified three novel DMRs for each of the two most common NSCLC subtypes, adenocarcinomas and squamous cell carcinomas. We propose a panel of five DMRs, composed of novel and known markers that exhibit high specificity and sensitivity to distinguish tumors from control lung tissues. Conclusion Novel markers will aid the development of a highly specific epigenetic panel for accurate identification and subtyping of NSCLC tumors.
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- 2013
16. The aurora B kinase and the polycomb protein ring1B combine to regulate active promoters in quiescent lymphocytes
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Miguel Vidal, Niall Dillon, Vanja Haberle, Gopuraja Dharmalingam, Alberto Frangini, Monica Roman-Trufero, Boris Lenhard, Marcos Malumbres, Marcela Sjoberg, and Till Bartke
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Cell Survival ,T-Lymphocytes ,Ubiquitin-Protein Ligases ,Aurora inhibitor ,Aurora B kinase ,RNA polymerase II ,Ribosomal Protein S6 Kinases, 90-kDa ,Histones ,Gene Knockout Techniques ,Mice ,Transcription (biology) ,Histone H2A ,Animals ,Aurora Kinase B ,Promoter Regions, Genetic ,Molecular Biology ,Cells, Cultured ,Regulation of gene expression ,Polycomb Repressive Complex 1 ,B-Lymphocytes ,biology ,Ubiquitination ,Promoter ,Cell Biology ,Molecular biology ,Histone ,Gene Expression Regulation ,Ubiquitin-Conjugating Enzymes ,biology.protein ,RNA Polymerase II ,Ubiquitin Thiolesterase - Abstract
Reversible cellular quiescence is critical for developmental processes in metazoan organisms and is characterized by a reduction in cell size and transcriptional activity. We show that the Aurora B kinase and the polycomb protein Ring1B have essential roles in regulating transcriptionally active genes in quiescent lymphocytes. Ring1B and Aurora B bind to a wide range of active promoters in resting B and T cells. Conditional knockout of either protein results in reduced transcription and binding of RNA Pol II to promoter regions and decreased cell viability. Aurora B phosphorylates histone H3S28 at active promoters in resting B cells as well as inhibiting Ring1B-mediated ubiquitination of histone H2A and enhancing binding and activity of the USP16 deubiquitinase at transcribed genes. Our results identify a mechanism for regulating transcription in quiescent cells that has implications for epigenetic regulation of the choice between proliferation and quiescence.
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- 2012
17. Genome-wide DNA methylation profiling of non-small cell lung carcinomas
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Rutger W W Brouwer, Mirjam C G N van den Hout-van Vroonhoven, Supat Thongjuea, Boris Lenhard, Erikjan Rijkers, Wilfred F. J. van IJcken, Frank Grosveld, Joachim G.J.V. Aerts, Vanja Haberle, Rejane Hughes Carvalho, Sjaak Philipsen, Teus van Gent, John A. Foekens, Jun Hou, Christel E M Kockx, Anieta M. Sieuwerts, Cell biology, Gastroenterology & Hepatology, Biochemistry, Medical Oncology, Pathology, and Pulmonary Medicine
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lcsh:QH426-470 ,Bisulfite sequencing ,Biology ,DNA sequencing ,law.invention ,SDG 3 - Good Health and Well-being ,Non-small cell lung Cancer ,law ,Next generation sequencing ,Genetics ,medicine ,Epigenetics ,Molecular Biology ,Gene ,Polymerase chain reaction ,DNA methylation ,Research ,Cancer ,DNA Methylation ,medicine.disease ,MethylCap ,respiratory tract diseases ,lcsh:Genetics ,Differentially methylated regions ,Cancer research - Abstract
Background Non-small cell lung carcinoma (NSCLC) is a complex malignancy that owing to its heterogeneity and poor prognosis poses many challenges to diagnosis, prognosis and patient treatment. DNA methylation is an important mechanism of epigenetic regulation involved in normal development and cancer. It is a very stable and specific modification and therefore in principle a very suitable marker for epigenetic phenotyping of tumors. Here we present a genome-wide DNA methylation analysis of NSCLC samples and paired lung tissues, where we combine MethylCap and next generation sequencing (MethylCap-seq) to provide comprehensive DNA methylation maps of the tumor and paired lung samples. The MethylCap-seq data were validated by bisulfite sequencing and methyl-specific polymerase chain reaction of selected regions. Results Analysis of the MethylCap-seq data revealed a strong positive correlation between replicate experiments and between paired tumor/lung samples. We identified 57 differentially methylated regions (DMRs) present in all NSCLC tumors analyzed by MethylCap-seq. While hypomethylated DMRs did not correlate to any particular functional category of genes, the hypermethylated DMRs were strongly associated with genes encoding transcriptional regulators. Furthermore, subtelomeric regions and satellite repeats were hypomethylated in the NSCLC samples. We also identified DMRs that were specific to two of the major subtypes of NSCLC, adenocarcinomas and squamous cell carcinomas. Conclusions Collectively, we provide a resource containing genome-wide DNA methylation maps of NSCLC and their paired lung tissues, and comprehensive lists of known and novel DMRs and associated genes in NSCLC.
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- 2012
18. A promoter-level mammalian expression atlas
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Frank Brombacher, Wyeth W. Wasserman, Hiromasa Morikawa, Fumi Hori, Sayaka Nagao-Sato, Artem S. Kasianov, Mitsuhiro Endoh, Ilka Hoof, Hans Clevers, Hideki Tatsukawa, Anita Schwegmann, Kang Li, David A. de Lima Morais, Yoshihide Hayashizaki, Morana Vitezic, Judith A. Blake, Leonard Lipovich, Hozumi Motohashi, Timothy Ravasi, Meenhard Herlyn, Shuji Kawaguchi, Antti Sajantila, Haruhiko Koseki, Lukasz Huminiecki, Tsugumi Kawashima, Carrie A. Davis, Mamoon Rashid, Winston Hide, Alka Saxena, Mizuho Sakai, Carsten O. Daub, Kim M. Summers, Yuki Hasegawa, Hisashi Shimoji, Margaret Patrikakis, Efthymios Motakis, Morten Beck Rye, Dan Goldowitz, Masaaki Furuno, Lynsey Fairbairn, Alan Mackay-Sim, Andreas Lennartsson, John A.C. Archer, Mitsuru Morimoto, Harukazu Suzuki, Silvia Zucchelli, Weon Ju Lee, Hiroki Sato, Alan J. Knox, Margherita Francescatto, Xiaobei Zhao, Jay W. Shin, Thomas R. Gingeras, Soichi Ogishima, Jayson Harshbarger, Mark Thompson, Beatrice Bodega, Marco Chierici, Shintaro Katayama, Albin Sandelin, Sarah Rennie, Silvano Piazza, Tomokatsu Ikawa, Matthias Harbers, Magda Babina, Peter G. Zhang, Gabriel M. Altschule, Lenhard Vladimir B. Bajic, Andrew P. Gibson, Malcolm E. Fisher, Karl Ekwall, Yukio Nakamura, Arnab Pain, Michiel J. L. de Hoon, Toshio Kitamura, Anthony G Beckhouse, Ai Kaiho, Julian Gough, James Briggs, Jordan A. Ramilowski, Miki Kojima, Alistair R. R. Forrest, Erik Anthony Schultes, Jessica C. Mar, Dipti Vijayan, Peter Arner, S. Peter Klinken, Michael Rehli, Kazuhiro Kajiyama, Christophe Simon, Piero Carninci, Marco Roncador, Shigeo Koyasu, Mary C. Farach-Carson, Shigehiro Yoshida, Swati Pradhan-Bhatt, Zuotian Tatum, Masanori Suzuki, Mette C. Jørgensen, Benoit Marchand, Misako Yoneda, James Prendergast, Noriko Ninomiya, Tom C. Freeman, Yulia A. Medvedeva, Niklas Mejhert, Jun Takai, Alexander D. Diehl, Akiko Saka, Marc van de Wetering, Takehiro Hashimoto, Naoto Kondo, Martin S. Taylor, Albert S.B. Edge, Mutsumi Kanamori-Katayama, Colin A. Semple, Alexander V. Favorov, Giuseppe Jurman, Toshiyuki Nakamura, Thomas J. Ha, Yuri Ishizu, Shannan J. Ho Sui, David A. Hume, Owen J. L. Rackham, Michela Fagiolini, Daisuke Sugiyama, Helena Persson, Hironori Satoh, Robert Young, Emily J. Wood, Akira Hasegawa, Yosuke Mizuno, Juha Kere, Hiroshi Tanaka, Michihira Tagami, A. Maxwell Burroughs, Sugata Roy, Sachi Kato, Taeko Dohi, Hai Fang, Chieko Kai, Fumio Nakahara, Christian Schmidl, Hiromi Nishiyori, Thierry Sengstag, Sven Guhl, Kei Iida, Antje Blumenthal, Boris Lenhard, Sarah Krampitz, Peter A C 't Hoen, Piotr J. Balwierz, Masayuki Yamamoto, Eri Saijyo, Suzana Savvi, Intikhab Alam Altschuler, Marina Lizio, Alison M. Meynert, Kazuyo Moro, Kenichi Nakazato, Sebastian Schmeier, Carlo Vittorio Cannistraci, Yasushi Okazaki, Yishai Shimoni, Kelly J Hitchens, Hideki Enomoto, Jeroen F. J. Laros, Naganari Ohkura, Ilya E. Vorontsov, Davide Albanese, Hiroshi Ohno, Yun Chen, Terrence F. Meehan, Mitsuhiro Ohshima, Mitsuko Hara, Emiliano Dalla, Roberto Verardo, Claudio Schneider, Takahiro Arakawa, Oliver Hofmann, Matthias Edinger, Mariko Okada-Hatakeyama, Susan E. Zabierowski, Shohei Noma, Yutaka Nakachi, Shoko Watanabe, Kaoru Kaida, Mitsuyoshi Murata, Takaaki Sugiyama, Hui Jia, Tetsuro Toyoda, Naoko Suzuki, Vsevolod J. Makeev, Naoko Takahashi Tagami, Hiroko Ohmiya, Christine L. Mummery, Emmanuel Dimont, Shiro Fukuda, Jun Kawai, Ivan V. Kulakovskiy, Anthony Mathelier, Nicolas Bertin, Hiroshi Kawamoto, Vanja Haberle, Robert Passier, Levon M. Khachigian, Yuki I. Kawamura, Jessica Severin, Valerio Orlando, Takeya Kasukawa, Teunis B. H. Geijtenbeek, Charles Plessy, Ernst J. Wolvetang, Stefano Gustincich, Shimon Sakaguchi, Erik van Nimwegen, Reto Guler, Martin C. Frith, Andrea Califano, Timo Lassmann, Peter Heutink, Boris R. Jankovic, Ri Ichiroh Manabe, Berit Lilje, Yari Ciani, Erik Arner, Rie Fujita, Robin Andersson, J Kenneth Baillie, Andrew T. Kwon, Atsutaka Kubosaki, Jun Ichi Furusawa, Soichi Kojima, Daniel Carbajo, Christine A. Wells, Tadasuke Nozaki, Rolf Swoboda, Hiroo Toyoda, Tony J. Kenna, Yoko Yamaguchi, Hideya Kawaji, Louise N. Winteringham, Cesare Furlanello, Michael Detmar, Judith S. Kempfle, Bogumil Kaczkowski, Gundula G. Schulze-Tanzil, Linda M. van den Berg, Alessandro Bonetti, Eivind Valen, Masayoshi Itoh, Yohei Yonekura, Guojun Sheng, Ulf Schaefer, Masahide Hamaguchi, Patrizia Rizzu, Anagha Joshi, Dmitry A. Ovchinnikov, Finn Drabløs, Christopher J. Mungall, Geoffrey J. Faulkner, Hubrecht Institute for Developmental Biology and Stem Cell Research, AII - Amsterdam institute for Infection and Immunity, Infectious diseases, Experimental Immunology, Human genetics, and NCA - Brain mechanisms in health and disease
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Transcription, Genetic ,Cells ,Messenger ,Gene regulatory network ,Mammalian promoter database ,Biology ,Article ,Cell Line ,Promoter Regions ,Mice ,Open Reading Frames ,Essential ,Atlases as Topic ,Genetic ,Animals ,Cluster Analysis ,Humans ,Gene Regulatory Networks ,RNA, Messenger ,Promoter Regions, Genetic ,Gene ,Transcription factor ,Cells, Cultured ,Conserved Sequence ,Genetics ,Regulation of gene expression ,Cultured ,Multidisciplinary ,Genes, Essential ,Genome ,Promoter ,Molecular Sequence Annotation ,Cap analysis gene expression ,Genes ,Gene Expression Regulation ,Organ Specificity ,Transcription Factors ,Transcription Initiation Site ,Transcriptome ,RNA ,Human genome ,Transcription - Abstract
Regulated transcription controls the diversity, developmental pathways and spatial organization of the hundreds of cell types that make up a mammal. Using single-molecule cDNA sequencing, we mapped transcription start sites (TSSs) and their usage in human and mouse primary cells, cell lines and tissues to produce a comprehensive overview of mammalian gene expression across the human body. We find that few genes are truly 'housekeeping', whereas many mammalian promoters are composite entities composed of several closely separated TSSs, with independent cell-type-specific expression profiles. TSSs specific to different cell types evolve at different rates, whereas promoters of broadly expressed genes are the most conserved. Promoter-based expression analysis reveals key transcription factors defining cell states and links them to binding-site motifs. The functions of identified novel transcripts can be predicted by coexpression and sample ontology enrichment analyses. The functional annotation of the mammalian genome 5 (FANTOM5) project provides comprehensive expression profiles and functional annotation of mammalian cell-type-specific transcriptomes with wide applications in biomedical research.
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- 2014
19. Two independent transcription initiation codes overlap on vertebrate core promoters
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Christopher Previti, Wilfred F. J. van IJcken, Jochen Gehrig, Marco Ferg, Olivier Armant, Xianjun Dong, Charles Plessy, Boris Lenhard, Yavor Hadzhiev, Piero Carninci, Vanja Haberle, Nan Li, Uwe Strähle, Ferenc Müller, Ana Maria Suzuki, Chirag Nepal, Altuna Akalin, Molecular Genetics, and Cell biology
- Subjects
Embryo, Nonmammalian ,Zygote ,Mothers ,RNA polymerase II ,Computational biology ,Biology ,Methylation ,Article ,Histones ,Transcription (biology) ,Nucleosome ,Animals ,Promoter Regions, Genetic ,Gene ,Transcription Initiation, Genetic ,Zebrafish ,Genetics ,Multidisciplinary ,General transcription factor ,Base Sequence ,Gene Expression Regulation, Developmental ,Promoter ,Chromatin ,Nucleosomes ,biology.protein ,Maternal to zygotic transition ,Female ,Transcription Initiation Site ,Transcriptome - Abstract
A core promoter is a stretch of DNA surrounding the transcription start site (TSS) that integrates regulatory inputs(1) and recruits general transcription factors to initiate transcription(2). The nature and causative relationship of the DNA sequence and chromatin signals that govern the selection of most TSSs by RNA polymerase II remain unresolved. Maternal to zygotic transition represents the most marked change of the transcriptome repertoire in the vertebrate life cycle(3-6). Early embryonic development in zebrafish is characterized by a series of transcriptionally silent cell cycles regulated by inherited maternal gene products: zygotic genome activation commences at the tenth cell cycle, marking the mid-blastula transition(7). This transition provides a unique opportunity to study the rules of TSS selection and the hierarchy of events linking transcription initiation with key chromatin modifications. We analysed TSS usage during zebrafish early embryonic development at high resolution using cap analysis of gene expression(8), and determined the positions of H3K4me3-marked promoter-associated nucleosomes(9). Here we show that the transition from the maternal to zygotic transcriptome is characterized by a switch between two fundamentally different modes of defining transcription initiation, which drive the dynamic change of TSS usage and promoter shape. A maternal-specific TSS selection, which requires an A/T-rich (W-box) motif, is replaced with a zygotic TSS selection grammar characterized by broader patterns of dinucleotide enrichments, precisely aligned with the first downstream (11) nucleosome. The developmental dynamics of the H3K4me3-marked nucleosomes reveal their DNA-sequence-associated positioning at promoters before zygotic transcription and subsequent transcription independent adjustment to the final position downstream of the zygotic TSS. The two TSS-defining grammars coexist, often physically overlapping, in core promoters of constitutively expressed genes to enable their expression in the two regulatory environments. The dissection of overlapping core promoter determinants represents a framework for future studies of promoter structure and function across different regulatory contexts.
- Published
- 2014
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