ALBERT

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〉

Description: Transcriptional regulation and posttranscriptional processing underlie many cellular and organismal phenotypes. We used RNA sequence data generated by Genotype-Tissue Expression (GTEx) project to investigate the patterns of transcriptome variation across individuals and tissues. Tissues exhibit characteristic transcriptional signatures that show stability in postmortem samples. These signatures are dominated by a relatively small number of genes-which is most clearly seen in blood-though few are exclusive to a particular tissue and vary more across tissues than individuals. Genes exhibiting high interindividual expression variation include disease candidates associated with sex, ethnicity, and age. Primary transcription is the major driver of cellular specificity, with splicing playing mostly a complementary role; except for the brain, which exhibits a more divergent splicing program. Variation in splicing, despite its stochasticity, may play in contrast a comparatively greater role in defining individual phenotypes.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4547472/" 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/PMC4547472/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Mele, Marta -- Ferreira, Pedro G -- Reverter, Ferran -- DeLuca, David S -- Monlong, Jean -- Sammeth, Michael -- Young, Taylor R -- Goldmann, Jakob M -- Pervouchine, Dmitri D -- Sullivan, Timothy J -- Johnson, Rory -- Segre, Ayellet V -- Djebali, Sarah -- Niarchou, Anastasia -- GTEx Consortium -- Wright, Fred A -- Lappalainen, Tuuli -- Calvo, Miquel -- Getz, Gad -- Dermitzakis, Emmanouil T -- Ardlie, Kristin G -- Guigo, Roderic -- HHSN261200800001E/PHS HHS/ -- HHSN268201000029C/HL/NHLBI NIH HHS/ -- HHSN268201000029C/PHS HHS/ -- R01 DA006227-17/DA/NIDA NIH HHS/ -- R01 MH090936/MH/NIMH NIH HHS/ -- R01 MH090941/MH/NIMH NIH HHS/ -- New York, N.Y. -- Science. 2015 May 8;348(6235):660-5. doi: 10.1126/science.aaa0355.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Harvard Department of stem cell and regenerative biology, Harvard University, Cambridge, MA, USA. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Department of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland. Institute for Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland. Swiss Institute of Bioinformatics, Geneva, Switzerland. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Facultat de Biologia, Universitat de Barcelona (UB), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. ; Broad Institute of MIT and Harvard, Cambridge, MA, USA. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. McGill University, Montreal, Canada. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. National Institute for Scientific Computing (LNCC), Petropolis, Rio de Janeiro, Brazil. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. Radboud University, Nijmegen, Netherlands. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. Faculty of Bioengineering and Bioinformatics, Moscow State University, Leninskie Gory 1-73, 119992 Moscow, Russia. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. ; Department of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland. Institute for Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland. Swiss Institute of Bioinformatics, Geneva, Switzerland. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Harvard Department of stem cell and regenerative biology, Harvard University, Cambridge, MA, USA. Department of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland. Institute for Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland. Swiss Institute of Bioinformatics, Geneva, Switzerland. Facultat de Biologia, Universitat de Barcelona (UB), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. Broad Institute of MIT and Harvard, Cambridge, MA, USA. McGill University, Montreal, Canada. National Institute for Scientific Computing (LNCC), Petropolis, Rio de Janeiro, Brazil. Radboud University, Nijmegen, Netherlands. Faculty of Bioengineering and Bioinformatics, Moscow State University, Leninskie Gory 1-73, 119992 Moscow, Russia. North Carolina State University, Raleigh, NC, USA. New York Genome Center, New York, NY, USA. Department of Systems Biology, Columbia University, New York, NY, USA. Cancer Center and Department of Pathology, Massachusetts General Hospital, Boston, MA 02114, USA. Institut Hospital del Mar d'Investigacions Mediques (IMIM), Barcelona, Catalonia, Spain. Joint CRG-Barcelona Super Computing Center (BSC)-Institut de Recerca Biomedica (IRB) Program in Computational Biology, Barcelona, Catalonia, Spain. ; North Carolina State University, Raleigh, NC, USA. ; Department of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland. Institute for Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland. Swiss Institute of Bioinformatics, Geneva, Switzerland. New York Genome Center, New York, NY, USA. Department of Systems Biology, Columbia University, New York, NY, USA. ; Facultat de Biologia, Universitat de Barcelona (UB), Barcelona, Catalonia, Spain. ; Broad Institute of MIT and Harvard, Cambridge, MA, USA. Cancer Center and Department of Pathology, Massachusetts General Hospital, Boston, MA 02114, USA. ; Broad Institute of MIT and Harvard, Cambridge, MA, USA. kardlie@broadinstitute.org roderic.guigo@crg.cat. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. Institut Hospital del Mar d'Investigacions Mediques (IMIM), Barcelona, Catalonia, Spain. Joint CRG-Barcelona Super Computing Center (BSC)-Institut de Recerca Biomedica (IRB) Program in Computational Biology, Barcelona, Catalonia, Spain. kardlie@broadinstitute.org roderic.guigo@crg.cat.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25954002" target="_blank"〉PubMed〈/a〉

Description: Motivation: Novel technologies brought in unprecedented amounts of high-throughput sequencing data along with great challenges in their analysis and interpretation. The percent-spliced-in (PSI, ) metric estimates the incidence of single-exon–skipping events and can be computed directly by counting reads that align to known or predicted splice junctions. However, the majority of human splicing events are more complex than single-exon skipping. Results: In this short report, we present a framework that generalizes the metric to arbitrary classes of splicing events. We change the view from exon centric to intron centric and split the value of into two indices, and , measuring the rate of splicing at the 5' and 3' end of the intron, respectively. The advantage of having two separate indices is that they deconvolute two distinct elementary acts of the splicing reaction. The completeness of splicing index is decomposed in a similar way. This framework is implemented as bam2ssj , a BAM-file–processing pipeline for strand-specific counting of reads that align to splice junctions or overlap with splice sites. It can be used as a consistent protocol for quantifying splice junctions from RNA-seq data because no such standard procedure currently exists. Availability: The C code of bam2ssj is open source and is available at https://github.com/pervouchine/bam2ssj Contact: dp@crg.eu