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  • 1
    Publication Date: 2002-05-04
    Description: The sequences of the human chromosomes 21 and 22 indicate that there are approximately 770 well-characterized and predicted genes. In this study, empirically derived maps identifying active areas of RNA transcription on these chromosomes have been constructed with the use of cytosolic polyadenylated RNA obtained from 11 human cell lines. Oligonucleotide arrays containing probes spaced on average every 35 base pairs along these chromosomes were used. When compared with the sequence annotations available for these chromosomes, it is noted that as much as an order of magnitude more of the genomic sequence is transcribed than accounted for by the predicted and characterized exons.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kapranov, Philipp -- Cawley, Simon E -- Drenkow, Jorg -- Bekiranov, Stefan -- Strausberg, Robert L -- Fodor, Stephen P A -- Gingeras, Thomas R -- New York, N.Y. -- Science. 2002 May 3;296(5569):916-9.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Affymetrix, Santa Clara, CA 95051, USA., National Cancer Institute, Bethesda, MD 20892, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/11988577" target="_blank"〉PubMed〈/a〉
    Keywords: Cell Line ; Cell Nucleus/metabolism ; Chromosomes, Human, Pair 21/*genetics ; Chromosomes, Human, Pair 22/*genetics ; Computational Biology ; Contig Mapping ; Cytosol/metabolism ; DNA, Complementary ; DiGeorge Syndrome/genetics ; Exons ; Humans ; Oligonucleotide Array Sequence Analysis ; Oligonucleotide Probes ; *Physical Chromosome Mapping ; Polymerase Chain Reaction ; RNA, Messenger/*genetics/metabolism ; Reverse Transcriptase Polymerase Chain Reaction ; *Transcription, Genetic ; Tumor Cells, Cultured
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2007-05-19
    Description: Significant fractions of eukaryotic genomes give rise to RNA, much of which is unannotated and has reduced protein-coding potential. The genomic origins and the associations of human nuclear and cytosolic polyadenylated RNAs longer than 200 nucleotides (nt) and whole-cell RNAs less than 200 nt were investigated in this genome-wide study. Subcellular addresses for nucleotides present in detected RNAs were assigned, and their potential processing into short RNAs was investigated. Taken together, these observations suggest a novel role for some unannotated RNAs as primary transcripts for the production of short RNAs. Three potentially functional classes of RNAs have been identified, two of which are syntenically conserved and correlate with the expression state of protein-coding genes. These data support a highly interleaved organization of the human transcriptome.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kapranov, Philipp -- Cheng, Jill -- Dike, Sujit -- Nix, David A -- Duttagupta, Radharani -- Willingham, Aarron T -- Stadler, Peter F -- Hertel, Jana -- Hackermuller, Jorg -- Hofacker, Ivo L -- Bell, Ian -- Cheung, Evelyn -- Drenkow, Jorg -- Dumais, Erica -- Patel, Sandeep -- Helt, Gregg -- Ganesh, Madhavan -- Ghosh, Srinka -- Piccolboni, Antonio -- Sementchenko, Victor -- Tammana, Hari -- Gingeras, Thomas R -- N01-CO-12400/CO/NCI NIH HHS/ -- U01HG003147/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2007 Jun 8;316(5830):1484-8. Epub 2007 May 17.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Affymetrix Laboratory, Affymetrix, Inc., 3420 Central Expressway, Santa Clara, CA, 95051, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/17510325" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Cell Line, Tumor ; Cell Nucleus/metabolism ; Cytosol/metabolism ; Exons ; Gene Expression ; Genome ; *Genome, Human ; HeLa Cells ; Humans ; Mice ; Promoter Regions, Genetic ; RNA/*genetics/metabolism ; RNA Precursors/*genetics/metabolism ; RNA, Messenger/*genetics/*metabolism ; Synteny ; Terminator Regions, Genetic ; *Transcription, Genetic
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2005-03-26
    Description: Sites of transcription of polyadenylated and nonpolyadenylated RNAs for 10 human chromosomes were mapped at 5-base pair resolution in eight cell lines. Unannotated, nonpolyadenylated transcripts comprise the major proportion of the transcriptional output of the human genome. Of all transcribed sequences, 19.4, 43.7, and 36.9% were observed to be polyadenylated, nonpolyadenylated, and bimorphic, respectively. Half of all transcribed sequences are found only in the nucleus and for the most part are unannotated. Overall, the transcribed portions of the human genome are predominantly composed of interlaced networks of both poly A+ and poly A- annotated transcripts and unannotated transcripts of unknown function. This organization has important implications for interpreting genotype-phenotype associations, regulation of gene expression, and the definition of a gene.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Cheng, Jill -- Kapranov, Philipp -- Drenkow, Jorg -- Dike, Sujit -- Brubaker, Shane -- Patel, Sandeep -- Long, Jeffrey -- Stern, David -- Tammana, Hari -- Helt, Gregg -- Sementchenko, Victor -- Piccolboni, Antonio -- Bekiranov, Stefan -- Bailey, Dione K -- Ganesh, Madhavan -- Ghosh, Srinka -- Bell, Ian -- Gerhard, Daniela S -- Gingeras, Thomas R -- New York, N.Y. -- Science. 2005 May 20;308(5725):1149-54. Epub 2005 Mar 24.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Affymetrix Inc., Santa Clara, CA 95051, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/15790807" target="_blank"〉PubMed〈/a〉
    Keywords: Cell Line ; Cell Line, Tumor ; Cell Nucleus/metabolism ; Chromosomes, Human/*genetics ; Chromosomes, Human, Pair 13/genetics ; Chromosomes, Human, Pair 14/genetics ; Chromosomes, Human, Pair 19/genetics ; Chromosomes, Human, Pair 20/genetics ; Chromosomes, Human, Pair 21/genetics ; Chromosomes, Human, Pair 22/genetics ; Chromosomes, Human, Pair 6/genetics ; Chromosomes, Human, Pair 7/genetics ; Chromosomes, Human, X/genetics ; Chromosomes, Human, Y/genetics ; Computational Biology ; Cytosol/metabolism ; DNA, Complementary ; DNA, Intergenic ; Exons ; Female ; *Genome, Human ; Humans ; Introns ; Male ; Molecular Sequence Data ; Nucleic Acid Amplification Techniques ; Oligonucleotide Array Sequence Analysis ; Physical Chromosome Mapping ; RNA Splicing ; RNA, Messenger/*analysis ; *Transcription, Genetic
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 4
    Publication Date: 2012-09-08
    Description: Eukaryotic cells make many types of primary and processed RNAs that are found either in specific subcellular compartments or throughout the cells. A complete catalogue of these RNAs is not yet available and their characteristic subcellular localizations are also poorly understood. Because RNA represents the direct output of the genetic information encoded by genomes and a significant proportion of a cell's regulatory capabilities are focused on its synthesis, processing, transport, modification and translation, the generation of such a catalogue is crucial for understanding genome function. Here we report evidence that three-quarters of the human genome is capable of being transcribed, as well as observations about the range and levels of expression, localization, processing fates, regulatory regions and modifications of almost all currently annotated and thousands of previously unannotated RNAs. These observations, taken together, prompt a redefinition of the concept of a gene.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3684276/" 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/PMC3684276/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Djebali, Sarah -- Davis, Carrie A -- Merkel, Angelika -- Dobin, Alex -- Lassmann, Timo -- Mortazavi, Ali -- Tanzer, Andrea -- Lagarde, Julien -- Lin, Wei -- Schlesinger, Felix -- Xue, Chenghai -- Marinov, Georgi K -- Khatun, Jainab -- Williams, Brian A -- Zaleski, Chris -- Rozowsky, Joel -- Roder, Maik -- Kokocinski, Felix -- Abdelhamid, Rehab F -- Alioto, Tyler -- Antoshechkin, Igor -- Baer, Michael T -- Bar, Nadav S -- Batut, Philippe -- Bell, Kimberly -- Bell, Ian -- Chakrabortty, Sudipto -- Chen, Xian -- Chrast, Jacqueline -- Curado, Joao -- Derrien, Thomas -- Drenkow, Jorg -- Dumais, Erica -- Dumais, Jacqueline -- Duttagupta, Radha -- Falconnet, Emilie -- Fastuca, Meagan -- Fejes-Toth, Kata -- Ferreira, Pedro -- Foissac, Sylvain -- Fullwood, Melissa J -- Gao, Hui -- Gonzalez, David -- Gordon, Assaf -- Gunawardena, Harsha -- Howald, Cedric -- Jha, Sonali -- Johnson, Rory -- Kapranov, Philipp -- King, Brandon -- Kingswood, Colin -- Luo, Oscar J -- Park, Eddie -- Persaud, Kimberly -- Preall, Jonathan B -- Ribeca, Paolo -- Risk, Brian -- Robyr, Daniel -- Sammeth, Michael -- Schaffer, Lorian -- See, Lei-Hoon -- Shahab, Atif -- Skancke, Jorgen -- Suzuki, Ana Maria -- Takahashi, Hazuki -- Tilgner, Hagen -- Trout, Diane -- Walters, Nathalie -- Wang, Huaien -- Wrobel, John -- Yu, Yanbao -- Ruan, Xiaoan -- Hayashizaki, Yoshihide -- Harrow, Jennifer -- Gerstein, Mark -- Hubbard, Tim -- Reymond, Alexandre -- Antonarakis, Stylianos E -- Hannon, Gregory -- Giddings, Morgan C -- Ruan, Yijun -- Wold, Barbara -- Carninci, Piero -- Guigo, Roderic -- Gingeras, Thomas R -- 062023/Wellcome Trust/United Kingdom -- 1RC2HG005591/HG/NHGRI NIH HHS/ -- 249968/European Research Council/International -- P30 CA045508/CA/NCI NIH HHS/ -- R01 HG003700/HG/NHGRI NIH HHS/ -- R01HG003700/HG/NHGRI NIH HHS/ -- R37 GM062534/GM/NIGMS NIH HHS/ -- RC2 HG005591/HG/NHGRI NIH HHS/ -- U01 HG003147/HG/NHGRI NIH HHS/ -- U54 HG004555/HG/NHGRI NIH HHS/ -- U54 HG004557/HG/NHGRI NIH HHS/ -- U54 HG004558/HG/NHGRI NIH HHS/ -- U54 HG004576/HG/NHGRI NIH HHS/ -- U54 HG007004/HG/NHGRI NIH HHS/ -- U54HG004555/HG/NHGRI NIH HHS/ -- U54HG004557/HG/NHGRI NIH HHS/ -- U54HG004558/HG/NHGRI NIH HHS/ -- U54HG004576/HG/NHGRI NIH HHS/ -- England -- Nature. 2012 Sep 6;489(7414):101-8. doi: 10.1038/nature11233.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Centre for Genomic Regulation and UPF, Doctor Aiguader 88, Barcelona 08003, Catalonia, Spain.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22955620" target="_blank"〉PubMed〈/a〉
    Keywords: Alleles ; Cell Line ; DNA/*genetics ; DNA, Intergenic/genetics ; *Encyclopedias as Topic ; Enhancer Elements, Genetic ; Exons/genetics ; Gene Expression Profiling ; Genes/genetics ; Genome, Human/*genetics ; Genomics ; Humans ; *Molecular Sequence Annotation ; Polyadenylation/genetics ; Protein Isoforms/genetics ; RNA/biosynthesis/genetics ; RNA Editing/genetics ; RNA Splicing/genetics ; Regulatory Sequences, Nucleic Acid/*genetics ; Repetitive Sequences, Nucleic Acid/genetics ; Sequence Analysis, RNA ; 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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  • 5
    Publication Date: 2014-11-21
    Description: The laboratory mouse shares the majority of its protein-coding genes with humans, making it the premier model organism in biomedical research, yet the two mammals differ in significant ways. To gain greater insights into both shared and species-specific transcriptional and cellular regulatory programs in the mouse, the Mouse ENCODE Consortium has mapped transcription, DNase I hypersensitivity, transcription factor binding, chromatin modifications and replication domains throughout the mouse genome in diverse cell and tissue types. By comparing with the human genome, we not only confirm substantial conservation in the newly annotated potential functional sequences, but also find a large degree of divergence of sequences involved in transcriptional regulation, chromatin state and higher order chromatin organization. Our results illuminate the wide range of evolutionary forces acting on genes and their regulatory regions, and provide a general resource for research into mammalian biology and mechanisms of human diseases.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4266106/" 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/PMC4266106/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Yue, Feng -- Cheng, Yong -- Breschi, Alessandra -- Vierstra, Jeff -- Wu, Weisheng -- Ryba, Tyrone -- Sandstrom, Richard -- Ma, Zhihai -- Davis, Carrie -- Pope, Benjamin D -- Shen, Yin -- Pervouchine, Dmitri D -- Djebali, Sarah -- Thurman, Robert E -- Kaul, Rajinder -- Rynes, Eric -- Kirilusha, Anthony -- Marinov, Georgi K -- Williams, Brian A -- Trout, Diane -- Amrhein, Henry -- Fisher-Aylor, Katherine -- Antoshechkin, Igor -- DeSalvo, Gilberto -- See, Lei-Hoon -- Fastuca, Meagan -- Drenkow, Jorg -- Zaleski, Chris -- Dobin, Alex -- Prieto, Pablo -- Lagarde, Julien -- Bussotti, Giovanni -- Tanzer, Andrea -- Denas, Olgert -- Li, Kanwei -- Bender, M A -- Zhang, Miaohua -- Byron, Rachel -- Groudine, Mark T -- McCleary, David -- Pham, Long -- Ye, Zhen -- Kuan, Samantha -- Edsall, Lee -- Wu, Yi-Chieh -- Rasmussen, Matthew D -- Bansal, Mukul S -- Kellis, Manolis -- Keller, Cheryl A -- Morrissey, Christapher S -- Mishra, Tejaswini -- Jain, Deepti -- Dogan, Nergiz -- Harris, Robert S -- Cayting, Philip -- Kawli, Trupti -- Boyle, Alan P -- Euskirchen, Ghia -- Kundaje, Anshul -- Lin, Shin -- Lin, Yiing -- Jansen, Camden -- Malladi, Venkat S -- Cline, Melissa S -- Erickson, Drew T -- Kirkup, Vanessa M -- Learned, Katrina -- Sloan, Cricket A -- Rosenbloom, Kate R -- Lacerda de Sousa, Beatriz -- Beal, Kathryn -- Pignatelli, Miguel -- Flicek, Paul -- Lian, Jin -- Kahveci, Tamer -- Lee, Dongwon -- Kent, W James -- Ramalho Santos, Miguel -- Herrero, Javier -- Notredame, Cedric -- Johnson, Audra -- Vong, Shinny -- Lee, Kristen -- Bates, Daniel -- Neri, Fidencio -- Diegel, Morgan -- Canfield, Theresa -- Sabo, Peter J -- Wilken, Matthew S -- Reh, Thomas A -- Giste, Erika -- Shafer, Anthony -- Kutyavin, Tanya -- Haugen, Eric -- Dunn, Douglas -- Reynolds, Alex P -- Neph, Shane -- Humbert, Richard -- Hansen, R Scott -- De Bruijn, Marella -- Selleri, Licia -- Rudensky, Alexander -- Josefowicz, Steven -- Samstein, Robert -- Eichler, Evan E -- Orkin, Stuart H -- Levasseur, Dana -- Papayannopoulou, Thalia -- Chang, Kai-Hsin -- Skoultchi, Arthur -- Gosh, Srikanta -- Disteche, Christine -- Treuting, Piper -- Wang, Yanli -- Weiss, Mitchell J -- Blobel, Gerd A -- Cao, Xiaoyi -- Zhong, Sheng -- Wang, Ting -- Good, Peter J -- Lowdon, Rebecca F -- Adams, Leslie B -- Zhou, Xiao-Qiao -- Pazin, Michael J -- Feingold, Elise A -- Wold, Barbara -- Taylor, James -- Mortazavi, Ali -- Weissman, Sherman M -- Stamatoyannopoulos, John A -- Snyder, Michael P -- Guigo, Roderic -- Gingeras, Thomas R -- Gilbert, David M -- Hardison, Ross C -- Beer, Michael A -- Ren, Bing -- Mouse ENCODE Consortium -- 095908/Wellcome Trust/United Kingdom -- 1U54HG007004/HG/NHGRI NIH HHS/ -- 3RC2HG005602/HG/NHGRI NIH HHS/ -- F31CA165863/CA/NCI NIH HHS/ -- F32HL110473/HL/NHLBI NIH HHS/ -- GM083337/GM/NIGMS NIH HHS/ -- GM085354/GM/NIGMS NIH HHS/ -- K99HL119617/HL/NHLBI NIH HHS/ -- P01 GM085354/GM/NIGMS NIH HHS/ -- P01 HL064190/HL/NHLBI NIH HHS/ -- P01 HL110860/HL/NHLBI NIH HHS/ -- P30 CA008748/CA/NCI NIH HHS/ -- P30 CA045508/CA/NCI NIH HHS/ -- R01 DK065806/DK/NIDDK NIH HHS/ -- R01 DK096266/DK/NIDDK NIH HHS/ -- R01 ES024992/ES/NIEHS NIH HHS/ -- R01 EY021482/EY/NEI NIH HHS/ -- R01 GM083337/GM/NIGMS NIH HHS/ -- R01 HG004037/HG/NHGRI NIH HHS/ -- R01 HG007175/HG/NHGRI NIH HHS/ -- R01 HG007348/HG/NHGRI NIH HHS/ -- R01 HG007354/HG/NHGRI NIH HHS/ -- R01DK065806/DK/NIDDK NIH HHS/ -- R01HD043997-09/HD/NICHD NIH HHS/ -- R01HG003991/HG/NHGRI NIH HHS/ -- R37 DK044746/DK/NIDDK NIH HHS/ -- R56 DK065806/DK/NIDDK NIH HHS/ -- RC2 HG005573/HG/NHGRI NIH HHS/ -- RC2HG005573/HG/NHGRI NIH HHS/ -- T32 GM081739/GM/NIGMS NIH HHS/ -- U01 HL099656/HL/NHLBI NIH HHS/ -- U01 HL099993/HL/NHLBI NIH HHS/ -- U54 HG006997/HG/NHGRI NIH HHS/ -- U54 HG006998/HG/NHGRI NIH HHS/ -- U54 HG007004/HG/NHGRI NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2014 Nov 20;515(7527):355-64. doi: 10.1038/nature13992.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Ludwig Institute for Cancer Research and University of California, San Diego School of Medicine, 9500 Gilman Drive, La Jolla, California 92093, USA. [2] Department of Biochemistry and Molecular Biology, College of Medicine, The Pennsylvania State University, Hershey, Pennsylvania 17033, USA. ; Department of Genetics, Stanford University, 300 Pasteur Drive, MC-5477 Stanford, California 94305, USA. ; Bioinformatics and Genomics, Centre for Genomic Regulation (CRG) and UPF, Doctor Aiguader, 88, 08003 Barcelona, Catalonia, Spain. ; Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA. ; Center for Comparative Genomics and Bioinformatics, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, USA. ; Department of Biological Science, 319 Stadium Drive, Florida State University, Tallahassee, Florida 32306-4295, USA. ; Functional Genomics, Cold Spring Harbor Laboratory, Bungtown Road, Cold Spring Harbor, New York 11724, USA. ; Ludwig Institute for Cancer Research and University of California, San Diego School of Medicine, 9500 Gilman Drive, La Jolla, California 92093, USA. ; Division of Biology, California Institute of Technology, Pasadena, California 91125, USA. ; 1] Bioinformatics and Genomics, Centre for Genomic Regulation (CRG) and UPF, Doctor Aiguader, 88, 08003 Barcelona, Catalonia, Spain. [2] Department of Theoretical Chemistry, Faculty of Chemistry, University of Vienna, Waehringerstrasse 17/3/303, A-1090 Vienna, Austria. ; Departments of Biology and Mathematics and Computer Science, Emory University, O. Wayne Rollins Research Center, 1510 Clifton Road NE, Atlanta, Georgia 30322, USA. ; 1] Department of Pediatrics, University of Washington, Seattle, Washington 98195, USA. [2] Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA. ; Basic Science Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA. ; 1] Basic Science Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA. [2] Department of Radiation Oncology, University of Washington, Seattle, Washington 98195, USA. ; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA. ; 1] Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA. [2] Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA. ; Department of Developmental and Cell Biology, University of California, Irvine, Irvine, California 92697, USA. ; Center for Biomolecular Science and Engineering, School of Engineering, University of California Santa Cruz (UCSC), Santa Cruz, California 95064, USA. ; Departments of Obstetrics/Gynecology and Pathology, and Center for Reproductive Sciences, University of California San Francisco, San Francisco, California 94143, USA. ; European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK. ; Yale University, Department of Genetics, PO Box 208005, 333 Cedar Street, New Haven, Connecticut 06520-8005, USA. ; Computer &Information Sciences &Engineering, University of Florida, Gainesville, Florida 32611, USA. ; McKusick-Nathans Institute of Genetic Medicine and Department of Biomedical Engineering, Johns Hopkins University, 733 N. Broadway, BRB 573 Baltimore, Maryland 21205, USA. ; 1] European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK. [2] Bill Lyons Informatics Centre, UCL Cancer Institute, University College London, London WC1E 6DD, UK. ; Department of Biological Structure, University of Washington, HSB I-516, 1959 NE Pacific Street, Seattle, Washington 98195, USA. ; MRC Molecular Haemotology Unit, University of Oxford, Oxford OX3 9DS, UK. ; Department of Cell and Developmental Biology, Weill Cornell Medical College, New York, New York 10065, USA. ; HHMI and Ludwig Center at Memorial Sloan Kettering Cancer Center, Immunology Program, Memorial Sloan Kettering Cancer Canter, New York, New York 10065, USA. ; Dana Farber Cancer Institute, Harvard Medical School, Cambridge, Massachusetts 02138, USA. ; University of Iowa Carver College of Medicine, Department of Internal Medicine, Iowa City, Iowa 52242, USA. ; Division of Hematology, Department of Medicine, University of Washington, Seattle, Washington 98195, USA. ; Department of Cell Biology, Albert Einstein College of Medicine, Bronx, New York 10461, USA. ; Department of Pathology, University of Washington, Seattle, Washington 98195, USA. ; Department of Comparative Medicine, University of Washington, Seattle, Washington 98195, USA. ; Bioinformatics and Genomics program, The Pennsylvania State University, University Park, Pennsylvania 16802, USA. ; Department of Hematology, St Jude Children's Research Hospital, Memphis, Tennessee 38105, USA. ; 1] Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA. [2] Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA. ; Department of Bioengineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA. ; Department of Genetics, Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, Missouri 63108, USA. ; NHGRI, National Institutes of Health, 5635 Fishers Lane, Bethesda, Maryland 20892-9307, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25409824" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Cell Lineage/genetics ; Chromatin/genetics/metabolism ; Conserved Sequence/genetics ; DNA Replication/genetics ; Deoxyribonuclease I/metabolism ; Gene Expression Regulation/genetics ; Gene Regulatory Networks/genetics ; Genome/*genetics ; Genome-Wide Association Study ; *Genomics ; Humans ; Mice/*genetics ; *Molecular Sequence Annotation ; RNA/genetics ; Regulatory Sequences, Nucleic Acid/genetics ; Species Specificity ; Transcription Factors/metabolism ; 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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  • 6
    Publication Date: 2014-08-29
    Description: The transcriptome is the readout of the genome. Identifying common features in it across distant species can reveal fundamental principles. To this end, the ENCODE and modENCODE consortia have generated large amounts of matched RNA-sequencing data for human, worm and fly. Uniform processing and comprehensive annotation of these data allow comparison across metazoan phyla, extending beyond earlier within-phylum transcriptome comparisons and revealing ancient, conserved features. Specifically, we discover co-expression modules shared across animals, many of which are enriched in developmental genes. Moreover, we use expression patterns to align the stages in worm and fly development and find a novel pairing between worm embryo and fly pupae, in addition to the embryo-to-embryo and larvae-to-larvae pairings. Furthermore, we find that the extent of non-canonical, non-coding transcription is similar in each organism, per base pair. Finally, we find in all three organisms that the gene-expression levels, both coding and non-coding, can be quantitatively predicted from chromatin features at the promoter using a 'universal model' based on a single set of organism-independent parameters.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4155737/" 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/PMC4155737/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Gerstein, Mark B -- Rozowsky, Joel -- Yan, Koon-Kiu -- Wang, Daifeng -- Cheng, Chao -- Brown, James B -- Davis, Carrie A -- Hillier, LaDeana -- Sisu, Cristina -- Li, Jingyi Jessica -- Pei, Baikang -- Harmanci, Arif O -- Duff, Michael O -- Djebali, Sarah -- Alexander, Roger P -- Alver, Burak H -- Auerbach, Raymond -- Bell, Kimberly -- Bickel, Peter J -- Boeck, Max E -- Boley, Nathan P -- Booth, Benjamin W -- Cherbas, Lucy -- Cherbas, Peter -- Di, Chao -- Dobin, Alex -- Drenkow, Jorg -- Ewing, Brent -- Fang, Gang -- Fastuca, Megan -- Feingold, Elise A -- Frankish, Adam -- Gao, Guanjun -- Good, Peter J -- Guigo, Roderic -- Hammonds, Ann -- Harrow, Jen -- Hoskins, Roger A -- Howald, Cedric -- Hu, Long -- Huang, Haiyan -- Hubbard, Tim J P -- Huynh, Chau -- Jha, Sonali -- Kasper, Dionna -- Kato, Masaomi -- Kaufman, Thomas C -- Kitchen, Robert R -- Ladewig, Erik -- Lagarde, Julien -- Lai, Eric -- Leng, Jing -- Lu, Zhi -- MacCoss, Michael -- May, Gemma -- McWhirter, Rebecca -- Merrihew, Gennifer -- Miller, David M -- Mortazavi, Ali -- Murad, Rabi -- Oliver, Brian -- Olson, Sara -- Park, Peter J -- Pazin, Michael J -- Perrimon, Norbert -- Pervouchine, Dmitri -- Reinke, Valerie -- Reymond, Alexandre -- Robinson, Garrett -- Samsonova, Anastasia -- Saunders, Gary I -- Schlesinger, Felix -- Sethi, Anurag -- Slack, Frank J -- Spencer, William C -- Stoiber, Marcus H -- Strasbourger, Pnina -- Tanzer, Andrea -- Thompson, Owen A -- Wan, Kenneth H -- Wang, Guilin -- Wang, Huaien -- Watkins, Kathie L -- Wen, Jiayu -- Wen, Kejia -- Xue, Chenghai -- Yang, Li -- Yip, Kevin -- Zaleski, Chris -- Zhang, Yan -- Zheng, Henry -- Brenner, Steven E -- Graveley, Brenton R -- Celniker, Susan E -- Gingeras, Thomas R -- Waterston, Robert -- 1U01HG007031-01/HG/NHGRI NIH HHS/ -- 5U01HG004695-04/HG/NHGRI NIH HHS/ -- 5U54HG004555/HG/NHGRI NIH HHS/ -- HG007000/HG/NHGRI NIH HHS/ -- HG007355/HG/NHGRI NIH HHS/ -- K99 HG006698/HG/NHGRI NIH HHS/ -- P30 CA045508/CA/NCI NIH HHS/ -- R01 GM076655/GM/NIGMS NIH HHS/ -- RC2-HG005639/HG/NHGRI NIH HHS/ -- T15 LM007056/LM/NLM NIH HHS/ -- T32 HD060555/HD/NICHD NIH HHS/ -- U01 HG 004263/HG/NHGRI NIH HHS/ -- U01 HG004261/HG/NHGRI NIH HHS/ -- U01 HG004271/HG/NHGRI NIH HHS/ -- U01 HG007031/HG/NHGRI NIH HHS/ -- U01-HG004261/HG/NHGRI NIH HHS/ -- U01HG004258/HG/NHGRI NIH HHS/ -- U41 HG007000/HG/NHGRI NIH HHS/ -- U41 HG007234/HG/NHGRI NIH HHS/ -- U41 HG007355/HG/NHGRI NIH HHS/ -- U54 HG004555/HG/NHGRI NIH HHS/ -- U54 HG006944/HG/NHGRI NIH HHS/ -- U54 HG006994/HG/NHGRI NIH HHS/ -- U54 HG007004/HG/NHGRI NIH HHS/ -- U54 HG007005/HG/NHGRI NIH HHS/ -- U54HG007005/HG/NHGRI NIH HHS/ -- WT098051/Wellcome Trust/United Kingdom -- ZIA DK015600-18/Intramural NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2014 Aug 28;512(7515):445-8. doi: 10.1038/nature13424.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Program in Computational Biology and Bioinformatics, Yale University, Bass 432, 266 Whitney Avenue, New Haven, Connecticut 06520, USA [2] Department of Molecular Biophysics and Biochemistry, Yale University, Bass 432, 266 Whitney Avenue, New Haven, Connecticut 06520, USA [3] Department of Computer Science, Yale University, 51 Prospect Street, New Haven, Connecticut 06511, USA [4] [5]. ; 1] Program in Computational Biology and Bioinformatics, Yale University, Bass 432, 266 Whitney Avenue, New Haven, Connecticut 06520, USA [2] Department of Molecular Biophysics and Biochemistry, Yale University, Bass 432, 266 Whitney Avenue, New Haven, Connecticut 06520, USA [3]. ; 1] Department of Genetics, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire 03755, USA [2] Institute for Quantitative Biomedical Sciences, Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire 03766, USA [3]. ; 1] Department of Genome Dynamics, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA [2] Department of Statistics, University of California, Berkeley, 367 Evans Hall, Berkeley, California 94720-3860, USA [3]. ; 1] Functional Genomics, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA [2]. ; 1] Department of Genome Sciences and University of Washington School of Medicine, William H. Foege Building S350D, 1705 Northeast Pacific Street, Box 355065 Seattle, Washington 98195-5065, USA [2]. ; 1] Department of Statistics, University of California, Berkeley, 367 Evans Hall, Berkeley, California 94720-3860, USA [2] Department of Statistics, University of California, Los Angeles, California 90095-1554, USA [3] Department of Human Genetics, University of California, Los Angeles, California 90095-7088, USA [4]. ; 1] Department of Genetics and Developmental Biology, Institute for Systems Genomics, University of Connecticut Health Center, 400 Farmington Avenue, Farmington, Connecticut 06030, USA [2]. ; 1] Centre for Genomic Regulation, Doctor Aiguader 88, 08003 Barcelona, Catalonia, Spain [2] Departament de Ciencies Experimentals i de la Salut, Universitat Pompeu Fabra, 08003 Barcelona, Catalonia, Spain [3]. ; 1] Program in Computational Biology and Bioinformatics, Yale University, Bass 432, 266 Whitney Avenue, New Haven, Connecticut 06520, USA [2] Department of Molecular Biophysics and Biochemistry, Yale University, Bass 432, 266 Whitney Avenue, New Haven, Connecticut 06520, USA. ; Center for Biomedical Informatics, Harvard Medical School, 10 Shattuck Street, Boston, Massachusetts 02115, USA. ; Functional Genomics, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA. ; Department of Statistics, University of California, Berkeley, 367 Evans Hall, Berkeley, California 94720-3860, USA. ; Department of Genome Sciences and University of Washington School of Medicine, William H. Foege Building S350D, 1705 Northeast Pacific Street, Box 355065 Seattle, Washington 98195-5065, USA. ; 1] Department of Genome Dynamics, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA [2] Department of Biostatistics, University of California, Berkeley, 367 Evans Hall, Berkeley, California 94720-3860, USA. ; Department of Genome Dynamics, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA. ; 1] Department of Biology, Indiana University, 1001 East 3rd Street, Bloomington, Indiana 47405-7005, USA [2] Center for Genomics and Bioinformatics, Indiana University, 1001 East 3rd Street, Bloomington, Indiana 47405-7005, USA. ; MOE Key Lab of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing 100084, China. ; National Human Genome Research Institute, National Institutes of Health, 5635 Fishers Lane, Bethesda, Maryland 20892-9307, USA. ; Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SA, UK. ; 1] Centre for Genomic Regulation, Doctor Aiguader 88, 08003 Barcelona, Catalonia, Spain [2] Departament de Ciencies Experimentals i de la Salut, Universitat Pompeu Fabra, 08003 Barcelona, Catalonia, Spain. ; 1] Center for Integrative Genomics, University of Lausanne, Genopode building, Lausanne 1015, Switzerland [2] Swiss Institute of Bioinformatics, Genopode building, Lausanne 1015, Switzerland. ; 1] Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SA, UK [2] Medical and Molecular Genetics, King's College London, London WC2R 2LS, UK. ; Department of Genetics, Yale University School of Medicine, New Haven, Connecticut 06520-8005, USA. ; Department of Molecular, Cellular and Developmental Biology, PO Box 208103, Yale University, New Haven, Connecticut 06520, USA. ; Department of Biology, Indiana University, 1001 East 3rd Street, Bloomington, Indiana 47405-7005, USA. ; Sloan-Kettering Institute, 1275 York Avenue, Box 252, New York, New York 10065, USA. ; 1] Department of Genetics and Developmental Biology, Institute for Systems Genomics, University of Connecticut Health Center, 400 Farmington Avenue, Farmington, Connecticut 06030, USA [2] Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213 USA. ; Department of Cell and Developmental Biology, Vanderbilt University, 465 21st Avenue South, Nashville, Tennessee 37232-8240, USA. ; 1] Developmental and Cell Biology, University of California, Irvine, California 92697, USA [2] Center for Complex Biological Systems, University of California, Irvine, California 92697, USA. ; Section of Developmental Genomics, Laboratory of Cellular and Developmental Biology, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland 20892, USA. ; Department of Genetics and Developmental Biology, Institute for Systems Genomics, University of Connecticut Health Center, 400 Farmington Avenue, Farmington, Connecticut 06030, USA. ; 1] Department of Genetics and Drosophila RNAi Screening Center, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, Massachusetts 02115, USA [2] Howard Hughes Medical Institute, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, Massachusetts 02115, USA. ; Center for Integrative Genomics, University of Lausanne, Genopode building, Lausanne 1015, Switzerland. ; 1] Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SA, UK [2] European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, CB10 1SD, UK. ; 1] Bioinformatics and Genomics Programme, Center for Genomic Regulation, Universitat Pompeu Fabra (CRG-UPF), 08003 Barcelona, Catalonia, Spain [2] Institute for Theoretical Chemistry, Theoretical Biochemistry Group (TBI), University of Vienna, Wahringerstrasse 17/3/303, A-1090 Vienna, Austria. ; 1] Department of Genetics and Developmental Biology, Institute for Systems Genomics, University of Connecticut Health Center, 400 Farmington Avenue, Farmington, Connecticut 06030, USA [2] Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China. ; 1] Hong Kong Bioinformatics Centre, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong [2] 5 CUHK-BGI Innovation Institute of Trans-omics, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong. ; 1] Department of Molecular and Cell Biology, University of California, Berkeley, California 94720, USA [2] Department of Plant and Microbial Biology, University of California, Berkeley, California 94720, USA [3]. ; 1] Department of Genome Dynamics, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA [2].〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25164755" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Caenorhabditis elegans/embryology/*genetics/growth & development ; Chromatin/genetics ; Cluster Analysis ; Drosophila melanogaster/*genetics/growth & development ; *Gene Expression Profiling ; Gene Expression Regulation, Developmental/genetics ; Histones/metabolism ; Humans ; Larva/genetics/growth & development ; Models, Genetic ; Molecular Sequence Annotation ; Promoter Regions, Genetic/genetics ; Pupa/genetics/growth & development ; RNA, Untranslated/genetics ; Sequence Analysis, RNA ; 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
  • 8
    Publication Date: 2012-12-21
    Description: Motivation: Accurate alignment of high-throughput RNA-seq data is a challenging and yet unsolved problem because of the non-contiguous transcript structure, relatively short read lengths and constantly increasing throughput of the sequencing technologies. Currently available RNA-seq aligners suffer from high mapping error rates, low mapping speed, read length limitation and mapping biases. Results: To align our large (〉80 billon reads) ENCODE Transcriptome RNA-seq dataset, we developed the Spliced Transcripts Alignment to a Reference (STAR) software based on a previously undescribed RNA-seq alignment algorithm that uses sequential maximum mappable seed search in uncompressed suffix arrays followed by seed clustering and stitching procedure. STAR outperforms other aligners by a factor of 〉50 in mapping speed, aligning to the human genome 550 million 2 x 76 bp paired-end reads per hour on a modest 12-core server, while at the same time improving alignment sensitivity and precision. In addition to unbiased de novo detection of canonical junctions, STAR can discover non-canonical splices and chimeric (fusion) transcripts, and is also capable of mapping full-length RNA sequences. Using Roche 454 sequencing of reverse transcription polymerase chain reaction amplicons, we experimentally validated 1960 novel intergenic splice junctions with an 80–90% success rate, corroborating the high precision of the STAR mapping strategy. Availability and implementation: STAR is implemented as a standalone C++ code. STAR is free open source software distributed under GPLv3 license and can be downloaded from http://code.google.com/p/rna-star/ . Contact: dobin@cshl.edu .
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
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