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  • 1
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    An atlas of active enhancers across human cell types and tissues (2014)
    Nature Publishing Group (NPG)
    Details
    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
    Published by Nature Publishing Group (NPG)
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  • 2
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    Clinical interpretation of CNVs with cross-species phenotype data (2014)
    BMJ Publishing Group
    Details
    Publication Date: 2014-10-15
    Description: Background Clinical evaluation of CNVs identified via techniques such as array comparative genome hybridisation (aCGH) involves the inspection of lists of known and unknown duplications and deletions with the goal of distinguishing pathogenic from benign CNVs. A key step in this process is the comparison of the individual's phenotypic abnormalities with those associated with Mendelian disorders of the genes affected by the CNV. However, because often there is not much known about these human genes, an additional source of data that could be used is model organism phenotype data. Currently, almost 6000 genes in mouse and zebrafish are, when knocked out, associated with a phenotype in the model organism, but no disease is known to be caused by mutations in the human ortholog. Yet, searching model organism databases and comparing model organism phenotypes with patient phenotypes for identifying novel disease genes and medical evaluation of CNVs is hindered by the difficulty in integrating phenotype information across species and the lack of appropriate software tools. Methods Here, we present an integrated ranking scheme based on phenotypic matching, degree of overlap with known benign or pathogenic CNVs and the haploinsufficiency score for the prioritisation of CNVs responsible for a patient's clinical findings. Results We show that this scheme leads to significant improvements compared with rankings that do not exploit phenotypic information. We provide a software tool called PhenogramViz, which supports phenotype-driven interpretation of aCGH findings based on multiple data sources, including the integrated cross-species phenotype ontology Uberpheno, in order to visualise gene-to-phenotype relations. Conclusions Integrating and visualising cross-species phenotype information on the affected genes may help in routine diagnostics of CNVs.
    Keywords: Genetic screening / counselling, Molecular genetics
    Print ISSN: 0022-2593
    Electronic ISSN: 1468-6244
    Topics: Medicine
    Published by BMJ Publishing Group
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  • 3
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    A promoter-level mammalian expression atlas (2014)
    Nature Publishing Group (NPG)
    Details
    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
    Published by Nature Publishing Group (NPG)
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  • 4
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    Transcribed enhancers lead waves of coordinated transcription in transitioning mammalian cells (2015)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2015-02-14
    Description: Although it is generally accepted that cellular differentiation requires changes to transcriptional networks, dynamic regulation of promoters and enhancers at specific sets of genes has not been previously studied en masse. Exploiting the fact that active promoters and enhancers are transcribed, we simultaneously measured their activity in 19 human and 14 mouse time courses covering a wide range of cell types and biological stimuli. Enhancer RNAs, then messenger RNAs encoding transcription factors, dominated the earliest responses. Binding sites for key lineage transcription factors were simultaneously overrepresented in enhancers and promoters active in each cellular system. Our data support a highly generalizable model in which enhancer transcription is the earliest event in successive waves of transcriptional change during cellular differentiation or activation.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4681433/" 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/PMC4681433/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Arner, Erik -- Daub, Carsten O -- Vitting-Seerup, Kristoffer -- Andersson, Robin -- Lilje, Berit -- Drablos, Finn -- Lennartsson, Andreas -- Ronnerblad, Michelle -- Hrydziuszko, Olga -- Vitezic, Morana -- Freeman, Tom C -- Alhendi, Ahmad M N -- Arner, Peter -- Axton, Richard -- Baillie, J Kenneth -- Beckhouse, Anthony -- Bodega, Beatrice -- Briggs, James -- Brombacher, Frank -- Davis, Margaret -- Detmar, Michael -- Ehrlund, Anna -- Endoh, Mitsuhiro -- Eslami, Afsaneh -- Fagiolini, Michela -- Fairbairn, Lynsey -- Faulkner, Geoffrey J -- Ferrai, Carmelo -- Fisher, Malcolm E -- Forrester, Lesley -- Goldowitz, Daniel -- Guler, Reto -- Ha, Thomas -- Hara, Mitsuko -- Herlyn, Meenhard -- Ikawa, Tomokatsu -- Kai, Chieko -- Kawamoto, Hiroshi -- Khachigian, Levon M -- Klinken, S Peter -- Kojima, Soichi -- Koseki, Haruhiko -- Klein, Sarah -- Mejhert, Niklas -- Miyaguchi, Ken -- Mizuno, Yosuke -- Morimoto, Mitsuru -- Morris, Kelly J -- Mummery, Christine -- Nakachi, Yutaka -- Ogishima, Soichi -- Okada-Hatakeyama, Mariko -- Okazaki, Yasushi -- Orlando, Valerio -- Ovchinnikov, Dmitry -- Passier, Robert -- Patrikakis, Margaret -- Pombo, Ana -- Qin, Xian-Yang -- Roy, Sugata -- Sato, Hiroki -- Savvi, Suzana -- Saxena, Alka -- Schwegmann, Anita -- Sugiyama, Daisuke -- Swoboda, Rolf -- Tanaka, Hiroshi -- Tomoiu, Andru -- Winteringham, Louise N -- Wolvetang, Ernst -- Yanagi-Mizuochi, Chiyo -- Yoneda, Misako -- Zabierowski, Susan -- Zhang, Peter -- Abugessaisa, Imad -- Bertin, Nicolas -- Diehl, Alexander D -- Fukuda, Shiro -- Furuno, Masaaki -- Harshbarger, Jayson -- Hasegawa, Akira -- Hori, Fumi -- Ishikawa-Kato, Sachi -- Ishizu, Yuri -- Itoh, Masayoshi -- Kawashima, Tsugumi -- Kojima, Miki -- Kondo, Naoto -- Lizio, Marina -- Meehan, Terrence F -- Mungall, Christopher J -- Murata, Mitsuyoshi -- Nishiyori-Sueki, Hiromi -- Sahin, Serkan -- Nagao-Sato, Sayaka -- Severin, Jessica -- de Hoon, Michiel J L -- Kawai, Jun -- Kasukawa, Takeya -- Lassmann, Timo -- Suzuki, Harukazu -- Kawaji, Hideya -- Summers, Kim M -- Wells, Christine -- FANTOM Consortium -- Hume, David A -- Forrest, Alistair R R -- Sandelin, Albin -- Carninci, Piero -- Hayashizaki, Yoshihide -- P30 CA010815/CA/NCI NIH HHS/ -- New York, N.Y. -- Science. 2015 Feb 27;347(6225):1010-4. doi: 10.1126/science.1259418. Epub 2015 Feb 12.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25678556" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Binding Sites ; Cattle ; Cell Differentiation/*genetics ; Dogs ; *Enhancer Elements, Genetic ; *Gene Expression Regulation, Developmental ; Mice ; RNA, Messenger/genetics/metabolism ; Rats ; Stem Cells/*cytology/metabolism ; Transcription Factors/*metabolism ; *Transcription, Genetic
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
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  • 5
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    Disease Ontology 2015 update: an expanded and updated database of human diseases for linking biomedical knowledge through disease data (2015)
    Oxford University Press
    Details
    Publication Date: 2015-01-16
    Description: The current version of the Human Disease Ontology (DO) ( http://www.disease-ontology.org ) database expands the utility of the ontology for the examination and comparison of genetic variation, phenotype, protein, drug and epitope data through the lens of human disease. DO is a biomedical resource of standardized common and rare disease concepts with stable identifiers organized by disease etiology. The content of DO has had 192 revisions since 2012, including the addition of 760 terms. Thirty-two percent of all terms now include definitions. DO has expanded the number and diversity of research communities and community members by 50+ during the past two years. These community members actively submit term requests, coordinate biomedical resource disease representation and provide expert curation guidance. Since the DO 2012 NAR paper, there have been hundreds of term requests and a steady increase in the number of DO listserv members, twitter followers and DO website usage. DO is moving to a multi-editor model utilizing Protégé to curate DO in web ontology language. This will enable closer collaboration with the Human Phenotype Ontology, EBI's Ontology Working Group, Mouse Genome Informatics and the Monarch Initiative among others, and enhance DO's current asserted view and multiple inferred views through reasoning.
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
    Published by Oxford University Press
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  • 6
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    The Human Phenotype Ontology project: linking molecular biology and disease through phenotype data (2013)
    Oxford University Press
    Details
    Publication Date: 2013-12-29
    Description: The Human Phenotype Ontology (HPO) project, available at http://www.human-phenotype-ontology.org , provides a structured, comprehensive and well-defined set of 10,088 classes (terms) describing human phenotypic abnormalities and 13,326 subclass relations between the HPO classes. In addition we have developed logical definitions for 46% of all HPO classes using terms from ontologies for anatomy, cell types, function, embryology, pathology and other domains. This allows interoperability with several resources, especially those containing phenotype information on model organisms such as mouse and zebrafish. Here we describe the updated HPO database, which provides annotations of 7,278 human hereditary syndromes listed in OMIM, Orphanet and DECIPHER to classes of the HPO. Various meta-attributes such as frequency, references and negations are associated with each annotation. Several large-scale projects worldwide utilize the HPO for describing phenotype information in their datasets. We have therefore generated equivalence mappings to other phenotype vocabularies such as LDDB, Orphanet, MedDRA, UMLS and phenoDB, allowing integration of existing datasets and interoperability with multiple biomedical resources. We have created various ways to access the HPO database content using flat files, a MySQL database, and Web-based tools. All data and documentation on the HPO project can be found online.
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
    Published by Oxford University Press
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  • 7
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    Ontobee: A linked ontology data server to support ontology term dereferencing, linkage, query and integration (2017)
    Oxford University Press
    Details
    Publication Date: 2017-01-05
    Description: Linked Data (LD) aims to achieve interconnected data by representing entities using Unified Resource Identifiers (URIs), and sharing information using Resource Description Frameworks (RDFs) and HTTP. Ontologies, which logically represent entities and relations in specific domains, are the basis of LD. Ontobee ( http://www.ontobee.org/ ) is a linked ontology data server that stores ontology information using RDF triple store technology and supports query, visualization and linkage of ontology terms. Ontobee is also the default linked data server for publishing and browsing biomedical ontologies in the Open Biological Ontology (OBO) Foundry ( http://obofoundry.org ) library. Ontobee currently hosts more than 180 ontologies (including 131 OBO Foundry Library ontologies) with over four million terms. Ontobee provides a user-friendly web interface for querying and visualizing the details and hierarchy of a specific ontology term. Using the eXtensible Stylesheet Language Transformation (XSLT) technology, Ontobee is able to dereference a single ontology term URI, and then output RDF/eXtensible Markup Language (XML) for computer processing or display the HTML information on a web browser for human users. Statistics and detailed information are generated and displayed for each ontology listed in Ontobee. In addition, a SPARQL web interface is provided for custom advanced SPARQL queries of one or multiple ontologies.
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
    Published by Oxford University Press
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  • 8
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    The Monarch Initiative: an integrative data and analytic platform connecting phenotypes to genotypes across species (2017)
    Oxford University Press
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    Publication Date: 2017-01-05
    Description: The correlation of phenotypic outcomes with genetic variation and environmental factors is a core pursuit in biology and biomedicine. Numerous challenges impede our progress: patient phenotypes may not match known diseases, candidate variants may be in genes that have not been characterized, model organisms may not recapitulate human or veterinary diseases, filling evolutionary gaps is difficult, and many resources must be queried to find potentially significant genotype–phenotype associations. Non-human organisms have proven instrumental in revealing biological mechanisms. Advanced informatics tools can identify phenotypically relevant disease models in research and diagnostic contexts. Large-scale integration of model organism and clinical research data can provide a breadth of knowledge not available from individual sources and can provide contextualization of data back to these sources. The Monarch Initiative ( monarchinitiative.org ) is a collaborative, open science effort that aims to semantically integrate genotype–phenotype data from many species and sources in order to support precision medicine, disease modeling, and mechanistic exploration. Our integrated knowledge graph, analytic tools, and web services enable diverse users to explore relationships between phenotypes and genotypes across species.
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
    Published by Oxford University Press
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    Update of the FANTOM web resource: high resolution transcriptome of diverse cell types in mammals (2017)
    Oxford University Press
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    Publication Date: 2017-01-05
    Description: Upon the first publication of the fifth iteration of the Functional Annotation of Mammalian Genomes collaborative project, FANTOM5, we gathered a series of primary data and database systems into the FANTOM web resource ( http://fantom.gsc.riken.jp ) to facilitate researchers to explore transcriptional regulation and cellular states. In the course of the collaboration, primary data and analysis results have been expanded, and functionalities of the database systems enhanced. We believe that our data and web systems are invaluable resources, and we think the scientific community will benefit for this recent update to deepen their understanding of mammalian cellular organization. We introduce the contents of FANTOM5 here, report recent updates in the web resource and provide future perspectives.
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
    Published by Oxford University Press
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    The Human Phenotype Ontology in 2017 (2017)
    Köhler, S., Vasilevsky, N. A., Engelstad, M., Foster, E., McMurry, J., Ayme, S., Baynam, G., Bello, S. M., Boerkoel, C. F., Boycott, K. M., Brudno, M., Buske, O. J., Chinnery, P. F., Cipriani, V., Connell, L. E., Dawkins, H. J. S., De; Mare, L. E., Devereau, A. D., de Vries, B. B. A., Firth, H. V., Freson, K., Greene, D., Hamosh, A., Helbig, I., Hum, C., Jähn, J. A., James, R., Krause, R., F. Laulederkind, S. J., Lochmüller, H., Lyon, G. J., Ogishima, S., Olry, A., Ouwehand, W. H., Pontikos, N., Rath, A., Schaefer, F., Scott, R. H., Segal, M., Sergouniotis, P. I., Sever, R., Smith, C. L., Straub, V., Thompson, R., Turner, C., Turro, E., Veltman, M. W. M., Vulliamy, T., Yu, J., von Ziegenweidt, J., Zankl, A., Züchner, S., Zemojtel, T., Jacobsen, J. O. B., Groza, T., Smedley, D., Mungall, C. J., Haendel, M., Robinson, P. N.
    Oxford University Press
    Details
    Publication Date: 2017-01-05
    Description: Deep phenotyping has been defined as the precise and comprehensive analysis of phenotypic abnormalities in which the individual components of the phenotype are observed and described. The three components of the Human Phenotype Ontology (HPO; www.human-phenotype-ontology.org ) project are the phenotype vocabulary, disease-phenotype annotations and the algorithms that operate on these. These components are being used for computational deep phenotyping and precision medicine as well as integration of clinical data into translational research. The HPO is being increasingly adopted as a standard for phenotypic abnormalities by diverse groups such as international rare disease organizations, registries, clinical labs, biomedical resources, and clinical software tools and will thereby contribute toward nascent efforts at global data exchange for identifying disease etiologies. This update article reviews the progress of the HPO project since the debut Nucleic Acids Research database article in 2014, including specific areas of expansion such as common (complex) disease, new algorithms for phenotype driven genomic discovery and diagnostics, integration of cross-species mapping efforts with the Mammalian Phenotype Ontology, an improved quality control pipeline, and the addition of patient-friendly terminology.
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
    Published by Oxford University Press
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