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  • 1
    Publication Date: 2014-04-25
    Description: CD4 + CD25 + FOXP3 + human regulatory T cells (Tregs) are essential for self-tolerance and immune homeostasis. Here, we describe the promoterome of CD4 + CD25 high CD45RA + naïve and CD4 + CD25 high CD45RA – memory Tregs and their CD25 – conventional T-cell (Tconv) counterparts both before and after in vitro expansion by cap analysis of gene expression (CAGE) adapted to single-molecule sequencing (HeliScopeCAGE). We performed comprehensive comparative digital gene expression analyses and revealed novel transcription start sites, of which several were validated as alternative promoters of known genes. For all in vitro expanded subsets, we additionally generated global maps of poised and active enhancer elements marked by histone H3 lysine 4 monomethylation and histone H3 lysine 27 acetylation, describe their cell type–specific motif signatures, and evaluate the role of candidate transcription factors STAT5, FOXP3, RUNX1, and ETS1 in both Treg- and Tconv-specific enhancer architectures. Network analyses of gene expression data revealed additional candidate transcription factors contributing to cell type specificity and a transcription factor network in Tregs that is dominated by FOXP3 interaction partners and targets. In summary, we provide a comprehensive and easily accessible resource of gene expression and gene regulation in human Treg and Tconv subpopulations.
    Keywords: Immunobiology, e-Blood
    Print ISSN: 0006-4971
    Electronic ISSN: 1528-0020
    Topics: Biology , Medicine
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  • 2
    Publication Date: 2014-04-25
    Description: Human blood monocytes comprise at least 3 subpopulations that differ in phenotype and function. Here, we present the first in-depth regulome analysis of human classical (CD14 ++ CD16 – ), intermediate (CD14 + CD16 + ), and nonclassical (CD14 dim CD16 + ) monocytes. Cap analysis of gene expression adapted to Helicos single-molecule sequencing was used to map transcription start sites throughout the genome in all 3 subsets. In addition, global maps of H3K4me1 and H3K27ac deposition were generated for classical and nonclassical monocytes defining enhanceosomes of the 2 major subsets. We identified differential regulatory elements (including promoters and putative enhancers) that were associated with subset-specific motif signatures corresponding to different transcription factor activities and exemplarily validated novel downstream enhancer elements at the CD14 locus. In addition to known subset-specific features, pathway analysis revealed marked differences in metabolic gene signatures. Whereas classical monocytes expressed higher levels of genes involved in carbohydrate metabolism, priming them for anaerobic energy production, nonclassical monocytes expressed higher levels of oxidative pathway components and showed a higher mitochondrial routine activity. Our findings describe promoter/enhancer landscapes and provide novel insights into the specific biology of human monocyte subsets.
    Keywords: Phagocytes, Granulocytes, and Myelopoiesis, e-Blood
    Print ISSN: 0006-4971
    Electronic ISSN: 1528-0020
    Topics: Biology , Medicine
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  • 3
    Publication Date: 2014-03-29
    Description: Enhancers control the correct temporal and cell-type-specific activation of gene expression in multicellular eukaryotes. Knowing their properties, regulatory activity and targets is crucial to understand the regulation of differentiation and homeostasis. Here we use the FANTOM5 panel of samples, covering the majority of human tissues and cell types, to produce an atlas of active, in vivo-transcribed enhancers. We show that enhancers share properties with CpG-poor messenger RNA promoters but produce bidirectional, exosome-sensitive, relatively short unspliced RNAs, the generation of which is strongly related to enhancer activity. The atlas is used to compare regulatory programs between different cells at unprecedented depth, to identify disease-associated regulatory single nucleotide polymorphisms, and to classify cell-type-specific and ubiquitous enhancers. We further explore the utility of enhancer redundancy, which explains gene expression strength rather than expression patterns. The online FANTOM5 enhancer atlas represents a unique resource for studies on cell-type-specific enhancers and gene regulation.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Andersson, Robin -- Gebhard, Claudia -- Miguel-Escalada, Irene -- Hoof, Ilka -- Bornholdt, Jette -- Boyd, Mette -- Chen, Yun -- Zhao, Xiaobei -- Schmidl, Christian -- Suzuki, Takahiro -- Ntini, Evgenia -- Arner, Erik -- Valen, Eivind -- Li, Kang -- Schwarzfischer, Lucia -- Glatz, Dagmar -- Raithel, Johanna -- Lilje, Berit -- Rapin, Nicolas -- Bagger, Frederik Otzen -- Jorgensen, Mette -- Andersen, Peter Refsing -- Bertin, Nicolas -- Rackham, Owen -- Burroughs, A Maxwell -- Baillie, J Kenneth -- Ishizu, Yuri -- Shimizu, Yuri -- Furuhata, Erina -- Maeda, Shiori -- Negishi, Yutaka -- Mungall, Christopher J -- Meehan, Terrence F -- Lassmann, Timo -- Itoh, Masayoshi -- Kawaji, Hideya -- Kondo, Naoto -- Kawai, Jun -- Lennartsson, Andreas -- Daub, Carsten O -- Heutink, Peter -- Hume, David A -- Jensen, Torben Heick -- Suzuki, Harukazu -- Hayashizaki, Yoshihide -- Muller, Ferenc -- FANTOM Consortium -- Forrest, Alistair R R -- Carninci, Piero -- Rehli, Michael -- Sandelin, Albin -- MC_PC_U127597124/Medical Research Council/United Kingdom -- MC_UP_1102/1/Medical Research Council/United Kingdom -- R01 DE022969/DE/NIDCR NIH HHS/ -- England -- Nature. 2014 Mar 27;507(7493):455-61. doi: 10.1038/nature12787.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] The Bioinformatics Centre, Department of Biology & Biotech Research and Innovation Centre, University of Copenhagen, Ole Maaloes Vej 5, DK-2200 Copenhagen, Denmark [2]. ; 1] Department of Internal Medicine III, University Hospital Regensburg, Franz-Josef-Strauss-Allee 11, 93042 Regensburg, Germany [2] Regensburg Centre for Interventional Immunology (RCI), D-93042 Regensburg, Germany [3]. ; School of Clinical and Experimental Medicine, College of Medical and Dental Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK. ; The Bioinformatics Centre, Department of Biology & Biotech Research and Innovation Centre, University of Copenhagen, Ole Maaloes Vej 5, DK-2200 Copenhagen, Denmark. ; 1] The Bioinformatics Centre, Department of Biology & Biotech Research and Innovation Centre, University of Copenhagen, Ole Maaloes Vej 5, DK-2200 Copenhagen, Denmark [2] Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina 27599, USA. ; Department of Internal Medicine III, University Hospital Regensburg, Franz-Josef-Strauss-Allee 11, 93042 Regensburg, Germany. ; 1] RIKEN OMICS Science Centre, RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa 230-0045, Japan [2] RIKEN Center for Life Science Technologies (Division of Genomic Technologies), RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa 230-0045, Japan. ; Centre for mRNP Biogenesis and Metabolism, Department of Molecular Biology and Genetics, C.F. Mollers Alle 3, Building 1130, DK-8000 Aarhus, Denmark. ; 1] The Bioinformatics Centre, Department of Biology & Biotech Research and Innovation Centre, University of Copenhagen, Ole Maaloes Vej 5, DK-2200 Copenhagen, Denmark [2] Department of Molecular and Cellular Biology, Harvard University, Cambridge, Massachusetts 02138, USA. ; 1] The Bioinformatics Centre, Department of Biology & Biotech Research and Innovation Centre, University of Copenhagen, Ole Maaloes Vej 5, DK-2200 Copenhagen, Denmark [2] The Finsen Laboratory, Rigshospitalet and Danish Stem Cell Centre (DanStem), University of Copenhagen, Ole Maaloes Vej 5, DK-2200, Denmark. ; Roslin Institute, Edinburgh University, Easter Bush, Midlothian, Edinburgh EH25 9RG, UK. ; Genomics Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road MS 64-121, Berkeley, California 94720, USA. ; EMBL Outstation - Hinxton, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK. ; 1] RIKEN OMICS Science Centre, RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa 230-0045, Japan [2] RIKEN Center for Life Science Technologies (Division of Genomic Technologies), RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa 230-0045, Japan [3] RIKEN Preventive Medicine and Diagnosis Innovation Program, RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa 230-0045, Japan. ; 1] RIKEN OMICS Science Centre, RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa 230-0045, Japan [2] RIKEN Preventive Medicine and Diagnosis Innovation Program, RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa 230-0045, Japan. ; Department of Biosciences and Nutrition, Karolinska Institutet, Halsovagen 7, SE-4183 Huddinge, Stockholm, Sweden. ; 1] RIKEN OMICS Science Centre, RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa 230-0045, Japan [2] RIKEN Center for Life Science Technologies (Division of Genomic Technologies), RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa 230-0045, Japan [3] Department of Biosciences and Nutrition, Karolinska Institutet, Halsovagen 7, SE-4183 Huddinge, Stockholm, Sweden. ; Department of Clinical Genetics, VU University Medical Center, van der Boechorststraat 7, 1081 BT Amsterdam, Netherlands. ; 1] Department of Internal Medicine III, University Hospital Regensburg, Franz-Josef-Strauss-Allee 11, 93042 Regensburg, Germany [2] Regensburg Centre for Interventional Immunology (RCI), D-93042 Regensburg, Germany.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24670763" target="_blank"〉PubMed〈/a〉
    Keywords: *Atlases as Topic ; Cell Line ; Cells, Cultured ; Cluster Analysis ; Enhancer Elements, Genetic/*genetics ; Gene Expression Regulation/*genetics ; Genetic Predisposition to Disease/genetics ; HeLa Cells ; Humans ; *Molecular Sequence Annotation ; *Organ Specificity ; Polymorphism, Single Nucleotide/genetics ; Promoter Regions, Genetic/genetics ; RNA, Messenger/biosynthesis/genetics ; Transcription Initiation Site ; Transcription Initiation, Genetic
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 4
    Publication Date: 2014-06-27
    Description: Early epigenetic downregulation of WNK2 kinase during pancreatic ductal adenocarcinoma development Oncogene 33, 3401 (26 June 2014). doi:10.1038/onc.2013.312 Authors: C Dutruel, F Bergmann, I Rooman, M Zucknick, D Weichenhan, L Geiselhart, T Kaffenberger, P S Rachakonda, A Bauer, N Giese, C Hong, H Xie, J F Costello, J Hoheisel, R Kumar, M Rehli, P Schirmacher, J Werner, C Plass, O Popanda & P Schmezer
    Keywords: genome-wide screenCpG island methylationchronic pancreatitispancreatic intraepithelial neoplasiapancreatic cancer
    Print ISSN: 0950-9232
    Topics: Medicine
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  • 5
  • 6
    Publication Date: 2014-03-29
    Description: 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.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4529748/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4529748/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉FANTOM Consortium and the RIKEN PMI and CLST (DGT) -- Forrest, Alistair R R -- Kawaji, Hideya -- Rehli, Michael -- Baillie, J Kenneth -- de Hoon, Michiel J L -- Haberle, Vanja -- Lassmann, Timo -- Kulakovskiy, Ivan V -- Lizio, Marina -- Itoh, Masayoshi -- Andersson, Robin -- Mungall, Christopher J -- Meehan, Terrence F -- Schmeier, Sebastian -- Bertin, Nicolas -- Jorgensen, Mette -- Dimont, Emmanuel -- Arner, Erik -- Schmidl, Christian -- Schaefer, Ulf -- Medvedeva, Yulia A -- Plessy, Charles -- Vitezic, Morana -- Severin, Jessica -- Semple, Colin A -- Ishizu, Yuri -- Young, Robert S -- Francescatto, Margherita -- Alam, Intikhab -- Albanese, Davide -- Altschuler, Gabriel M -- Arakawa, Takahiro -- Archer, John A C -- Arner, Peter -- Babina, Magda -- Rennie, Sarah -- Balwierz, Piotr J -- Beckhouse, Anthony G -- Pradhan-Bhatt, Swati -- Blake, Judith A -- Blumenthal, Antje -- Bodega, Beatrice -- Bonetti, Alessandro -- Briggs, James -- Brombacher, Frank -- Burroughs, A Maxwell -- Califano, Andrea -- Cannistraci, Carlo V -- Carbajo, Daniel -- Chen, Yun -- Chierici, Marco -- Ciani, Yari -- Clevers, Hans C -- Dalla, Emiliano -- Davis, Carrie A -- Detmar, Michael -- Diehl, Alexander D -- Dohi, Taeko -- Drablos, Finn -- Edge, Albert S B -- Edinger, Matthias -- Ekwall, Karl -- Endoh, Mitsuhiro -- Enomoto, Hideki -- Fagiolini, Michela -- Fairbairn, Lynsey -- Fang, Hai -- Farach-Carson, Mary C -- Faulkner, Geoffrey J -- Favorov, Alexander V -- Fisher, Malcolm E -- Frith, Martin C -- Fujita, Rie -- Fukuda, Shiro -- Furlanello, Cesare -- Furino, Masaaki -- Furusawa, Jun-ichi -- Geijtenbeek, Teunis B -- Gibson, Andrew P -- Gingeras, Thomas -- Goldowitz, Daniel -- Gough, Julian -- Guhl, Sven -- Guler, Reto -- Gustincich, Stefano -- Ha, Thomas J -- Hamaguchi, Masahide -- Hara, Mitsuko -- Harbers, Matthias -- Harshbarger, Jayson -- Hasegawa, Akira -- Hasegawa, Yuki -- Hashimoto, Takehiro -- Herlyn, Meenhard -- Hitchens, Kelly J -- Ho Sui, Shannan J -- Hofmann, Oliver M -- Hoof, Ilka -- Hori, Furni -- Huminiecki, Lukasz -- Iida, Kei -- Ikawa, Tomokatsu -- Jankovic, Boris R -- Jia, Hui -- Joshi, Anagha -- Jurman, Giuseppe -- Kaczkowski, Bogumil -- Kai, Chieko -- Kaida, Kaoru -- Kaiho, Ai -- Kajiyama, Kazuhiro -- Kanamori-Katayama, Mutsumi -- Kasianov, Artem S -- Kasukawa, Takeya -- Katayama, Shintaro -- Kato, Sachi -- Kawaguchi, Shuji -- Kawamoto, Hiroshi -- Kawamura, Yuki I -- Kawashima, Tsugumi -- Kempfle, Judith S -- Kenna, Tony J -- Kere, Juha -- Khachigian, Levon M -- Kitamura, Toshio -- Klinken, S Peter -- Knox, Alan J -- Kojima, Miki -- Kojima, Soichi -- Kondo, Naoto -- Koseki, Haruhiko -- Koyasu, Shigeo -- Krampitz, Sarah -- Kubosaki, Atsutaka -- Kwon, Andrew T -- Laros, Jeroen F J -- Lee, Weonju -- Lennartsson, Andreas -- Li, Kang -- Lilje, Berit -- Lipovich, Leonard -- Mackay-Sim, Alan -- Manabe, Ri-ichiroh -- Mar, Jessica C -- Marchand, Benoit -- Mathelier, Anthony -- Mejhert, Niklas -- Meynert, Alison -- Mizuno, Yosuke -- de Lima Morais, David A -- Morikawa, Hiromasa -- Morimoto, Mitsuru -- Moro, Kazuyo -- Motakis, Efthymios -- Motohashi, Hozumi -- Mummery, Christine L -- Murata, Mitsuyoshi -- Nagao-Sato, Sayaka -- Nakachi, Yutaka -- Nakahara, Fumio -- Nakamura, Toshiyuki -- Nakamura, Yukio -- Nakazato, Kenichi -- van Nimwegen, Erik -- Ninomiya, Noriko -- Nishiyori, Hiromi -- Noma, Shohei -- Noazaki, Tadasuke -- Ogishima, Soichi -- Ohkura, Naganari -- Ohimiya, Hiroko -- Ohno, Hiroshi -- Ohshima, Mitsuhiro -- Okada-Hatakeyama, Mariko -- Okazaki, Yasushi -- Orlando, Valerio -- Ovchinnikov, Dmitry A -- Pain, Arnab -- Passier, Robert -- Patrikakis, Margaret -- Persson, Helena -- Piazza, Silvano -- Prendergast, James G D -- Rackham, Owen J L -- Ramilowski, Jordan A -- Rashid, Mamoon -- Ravasi, Timothy -- Rizzu, Patrizia -- Roncador, Marco -- Roy, Sugata -- Rye, Morten B -- Saijyo, Eri -- Sajantila, Antti -- Saka, Akiko -- Sakaguchi, Shimon -- Sakai, Mizuho -- Sato, Hiroki -- Savvi, Suzana -- Saxena, Alka -- Schneider, Claudio -- Schultes, Erik A -- Schulze-Tanzil, Gundula G -- Schwegmann, Anita -- Sengstag, Thierry -- Sheng, Guojun -- Shimoji, Hisashi -- Shimoni, Yishai -- Shin, Jay W -- Simon, Christophe -- Sugiyama, Daisuke -- Sugiyama, Takaai -- Suzuki, Masanori -- Suzuki, Naoko -- Swoboda, Rolf K -- 't Hoen, Peter A C -- Tagami, Michihira -- Takahashi, Naoko -- Takai, Jun -- Tanaka, Hiroshi -- Tatsukawa, Hideki -- Tatum, Zuotian -- Thompson, Mark -- Toyodo, Hiroo -- Toyoda, Tetsuro -- Valen, Elvind -- van de Wetering, Marc -- van den Berg, Linda M -- Verado, Roberto -- Vijayan, Dipti -- Vorontsov, Ilya E -- Wasserman, Wyeth W -- Watanabe, Shoko -- Wells, Christine A -- Winteringham, Louise N -- Wolvetang, Ernst -- Wood, Emily J -- Yamaguchi, Yoko -- Yamamoto, Masayuki -- Yoneda, Misako -- Yonekura, Yohei -- Yoshida, Shigehiro -- Zabierowski, Susan E -- Zhang, Peter G -- Zhao, Xiaobei -- Zucchelli, Silvia -- Summers, Kim M -- Suzuki, Harukazu -- Daub, Carsten O -- Kawai, Jun -- Heutink, Peter -- Hide, Winston -- Freeman, Tom C -- Lenhard, Boris -- Bajic, Vladimir B -- Taylor, Martin S -- Makeev, Vsevolod J -- Sandelin, Albin -- Hume, David A -- Carninci, Piero -- Hayashizaki, Yoshihide -- BB/F003722/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- BB/G022771/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- BB/I001107/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- MC_PC_U127597124/Medical Research Council/United Kingdom -- MC_UP_1102/1/Medical Research Council/United Kingdom -- R01 DE022969/DE/NIDCR NIH HHS/ -- R01 GM084875/GM/NIGMS NIH HHS/ -- England -- Nature. 2014 Mar 27;507(7493):462-70. doi: 10.1038/nature13182.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24670764" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; *Atlases as Topic ; Cell Line ; Cells, Cultured ; Cluster Analysis ; Conserved Sequence/genetics ; Gene Expression Regulation/genetics ; Gene Regulatory Networks/genetics ; Genes, Essential/genetics ; Genome/genetics ; Humans ; Mice ; *Molecular Sequence Annotation ; Open Reading Frames/genetics ; Organ Specificity ; Promoter Regions, Genetic/*genetics ; RNA, Messenger/analysis/genetics ; Transcription Factors/metabolism ; Transcription Initiation Site ; Transcription, Genetic/genetics ; Transcriptome/*genetics
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 7
    Publication Date: 2013-07-16
    Description: The transcription factor PU.1 is crucial for the development of many hematopoietic lineages and its binding patterns significantly change during differentiation processes. However, the ‘rules’ for binding or not-binding of potential binding sites are only partially understood. To unveil basic characteristics of PU.1 binding site selection in different cell types, we studied the binding properties of PU.1 during human macrophage differentiation. Using in vivo and in vitro binding assays, as well as computational prediction, we show that PU.1 selects its binding sites primarily based on sequence affinity, which results in the frequent autonomous binding of high affinity sites in DNase I inaccessible regions (25–45% of all occupied sites). Increasing PU.1 concentrations and the availability of cooperative transcription factor interactions during lineage differentiation both decrease affinity thresholds for in vivo binding and fine-tune cell type-specific PU.1 binding, which seems to be largely independent of DNA methylation. Occupied sites were predominantly detected in active chromatin domains, which are characterized by higher densities of PU.1 recognition sites and neighboring motifs for cooperative transcription factors. Our study supports a model of PU.1 binding control that involves motif-binding affinity, PU.1 concentration, cooperativeness with neighboring transcription factor sites and chromatin domain accessibility, which likely applies to all PU.1 expressing cells.
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
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  • 8
    Publication Date: 2012-06-15
    Description: Cellular differentiation is orchestrated by lineage-specific transcription factors and associated with cell type–specific epigenetic signatures. In the present study, we used stage-specific, epigenetic "fingerprints" to deduce key transcriptional regulators of the human monocytic differentiation process. We globally mapped the distribution of epigenetic enhancer marks (histone H3 lysine 4 monomethylation, histone H3 lysine 27 acetylation, and the histone variant H2AZ), describe general properties of marked regions, and show that cell type–specific epigenetic "fingerprints" are correlated with specific, de novo–derived motif signatures at all of the differentiation stages studied (ie, hematopoietic stem cells, monocytes, and macrophages). We validated the novel, de novo–derived, macrophage-specific enhancer signature, which included ETS, CEBP, bZIP, EGR, E-Box and NF-B motifs, by ChIP sequencing for a subset of motif corresponding transcription factors (PU.1, C/EBPβ, and EGR2), confirming their association with differentiation-associated epigenetic changes. We describe herein the dynamic enhancer landscape of human macrophage differentiation, highlight the power of genome-wide epigenetic profiling studies to reveal novel functional insights, and provide a unique resource for macrophage biologists.
    Keywords: Phagocytes, Granulocytes, and Myelopoiesis, e-Blood
    Print ISSN: 0006-4971
    Electronic ISSN: 1528-0020
    Topics: Biology , Medicine
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  • 9
    Publication Date: 2012-08-03
    Description: Dysregulated microRNA (miRNA) expression contributes to the pathogenesis of hematopoietic malignancies, including chronic lymphocytic leukemia (CLL). However, an understanding of the mechanisms that cause aberrant miRNA transcriptional control is lacking. In this study, we comprehensively investigated the role and extent of miRNA epigenetic regulation in CLL. Genome-wide profiling conducted on 24 CLL and 10 healthy B cell samples revealed global DNA methylation patterns upstream of miRNA sequences that distinguished malignant from healthy cells and identified putative miRNA promoters. Integration of DNA methylation and miRNA promoter data led to the identification of 128 recurrent miRNA targets for aberrant promoter DNA methylation. DNA hypomethylation accounted for more than 60% of all aberrant promoter-associated DNA methylation in CLL, and promoter DNA hypomethylation was restricted to well-defined regions. Individual hyper- and hypomethylated promoters allowed discrimination of CLL samples from healthy controls. Promoter DNA methylation patterns were confirmed in an independent patient cohort, with 11 miRNAs consistently showing an inverse correlation between DNA methylation status and expression level. Together, our findings characterize the role of epigenetic changes in the regulation of miRNA transcription and create a repository of disease-specific promoter regions that may provide additional insights into the pathogenesis of CLL. Cancer Res; 72(15); 3775–85. ©2012 AACR.
    Print ISSN: 0008-5472
    Electronic ISSN: 1538-7445
    Topics: Medicine
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  • 10
    Publication Date: 2012-11-30
    Description: Aberrant DNA methylation constitutes a well-established epigenetic marker for breast cancer. Changes in methylation early in cancer development may be clinically relevant for cancer detection and prognosis-based therapeutic decisions. In the present study, a combination of methyl-CpG immunoprecipitation (MCIp) and human CpG island (CGI) arrays was applied to compare genome-wide DNA methylation profiles in 10 low-grade in situ and invasive breast cancers against 10 normal breast samples. In total, 214 CGIs were found to be hypermethylated in ≥6 of 10 tumors. Functional term enrichment analyses revealed an overrepresentation of homeobox genes and genes involved in transcription and regulation of transcription. Significant hypermethylation of 11 selected genes in tumor vs. normal tissue was validated in two independent sample sets (45 tumors and 11 controls, 43 tumors and 8 controls) using quantitative EpiTyper technology. In tumors, median methylation levels of BCAN , HOXD1 , KCTD8 , KLF11 , NXPH1 , POU4F1 , SIM1 , and TCF7L1 were ≥30% higher than in normal samples, representing potential biomarkers for tumor diagnosis. Using the 90th percentile of methylation levels in normal tissue as cutoff value, 62–92% of in situ samples ( n =13), 72–97% of invasive samples from the first validation set ( n =32), and 86–100% of invasive samples from the second validation set ( n =43) were classified as hypermethylated. Hypermethylation of KLF11 and SIM1 might also be associated with increased risk of developing metastases. In summary, early methylation changes are frequent in the low-grade pathway of breast cancer and may be useful in the development of differential diagnostic and possibly also prognostic markers.—Faryna, M., Konermann, C., Aulmann, S., Bermejo, J. L., Brugger, M., Diederichs, S., Rom, J., Weichenhan, D., Claus, R., Rehli, M., Schirmacher, P., Sinn, H.-P., Plass, C., Gerhauser, C. Genome-wide methylation screen in low-grade breast cancer identifies novel epigenetically altered genes as potential biomarkers for tumor diagnosis.
    Print ISSN: 0892-6638
    Electronic ISSN: 1530-6860
    Topics: Biology
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