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  • 1
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    Nature Publishing Group (NPG)
    Publication Date: 2008-06-27
    Description: 〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4386836/" 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/PMC4386836/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Graveley, Brenton R -- R01 GM062516/GM/NIGMS NIH HHS/ -- R01 GM062516-08/GM/NIGMS NIH HHS/ -- R01 GM067842/GM/NIGMS NIH HHS/ -- R01 GM067842-06/GM/NIGMS NIH HHS/ -- England -- Nature. 2008 Jun 26;453(7199):1197-8. doi: 10.1038/4531197b.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18580940" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Arabidopsis/genetics ; Expressed Sequence Tags ; *Gene Expression Profiling ; Humans ; Mice ; Oligonucleotide Array Sequence Analysis ; RNA, Messenger/*analysis/*genetics ; Saccharomyces cerevisiae/genetics ; Schizosaccharomyces/genetics ; Transcription, Genetic/genetics
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2010-01-30
    Description: The collection of components required to carry out the intricate processes involved in generating and maintaining a living, breathing and, sometimes, thinking organism is staggeringly complex. Where do all of the parts come from? Early estimates stated that about 100,000 genes would be required to make up a mammal; however, the actual number is less than one-quarter of that, barely four times the number of genes in budding yeast. It is now clear that the 'missing' information is in large part provided by alternative splicing, the process by which multiple different functional messenger RNAs, and therefore proteins, can be synthesized from a single gene.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3443858/" 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/PMC3443858/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Nilsen, Timothy W -- Graveley, Brenton R -- R01 GM062516/GM/NIGMS NIH HHS/ -- R01 GM062516-09/GM/NIGMS NIH HHS/ -- R01 GM067842/GM/NIGMS NIH HHS/ -- R01 GM067842-07/GM/NIGMS NIH HHS/ -- England -- Nature. 2010 Jan 28;463(7280):457-63. doi: 10.1038/nature08909.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for RNA Molecular Biology, Department of Biochemistry, Case Western Reserve University, School of Medicine, 10900 Euclid Avenue, Cleveland, Ohio 44106, USA. twn@case.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20110989" target="_blank"〉PubMed〈/a〉
    Keywords: Alternative Splicing/*physiology ; Animals ; Computational Biology ; Eukaryota/*genetics ; Evolution, Molecular ; Humans ; Proteome/*genetics ; RNA, Messenger/genetics
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2014-03-29
    Description: Animal transcriptomes are dynamic, with each cell type, tissue and organ system expressing an ensemble of transcript isoforms that give rise to substantial diversity. Here we have identified new genes, transcripts and proteins using poly(A)+ RNA sequencing from Drosophila melanogaster in cultured cell lines, dissected organ systems and under environmental perturbations. We found that a small set of mostly neural-specific genes has the potential to encode thousands of transcripts each through extensive alternative promoter usage and RNA splicing. The magnitudes of splicing changes are larger between tissues than between developmental stages, and most sex-specific splicing is gonad-specific. Gonads express hundreds of previously unknown coding and long non-coding RNAs (lncRNAs), some of which are antisense to protein-coding genes and produce short regulatory RNAs. Furthermore, previously identified pervasive intergenic transcription occurs primarily within newly identified introns. The fly transcriptome is substantially more complex than previously recognized, with this complexity arising from combinatorial usage of promoters, splice sites and polyadenylation sites.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4152413/" 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/PMC4152413/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Brown, James B -- Boley, Nathan -- Eisman, Robert -- May, Gemma E -- Stoiber, Marcus H -- Duff, Michael O -- Booth, Ben W -- Wen, Jiayu -- Park, Soo -- Suzuki, Ana Maria -- Wan, Kenneth H -- Yu, Charles -- Zhang, Dayu -- Carlson, Joseph W -- Cherbas, Lucy -- Eads, Brian D -- Miller, David -- Mockaitis, Keithanne -- Roberts, Johnny -- Davis, Carrie A -- Frise, Erwin -- Hammonds, Ann S -- Olson, Sara -- Shenker, Sol -- Sturgill, David -- Samsonova, Anastasia A -- Weiszmann, Richard -- Robinson, Garret -- Hernandez, Juan -- Andrews, Justen -- Bickel, Peter J -- Carninci, Piero -- Cherbas, Peter -- Gingeras, Thomas R -- Hoskins, Roger A -- Kaufman, Thomas C -- Lai, Eric C -- Oliver, Brian -- Perrimon, Norbert -- Graveley, Brenton R -- Celniker, Susan E -- 1U01HG007031-01/HG/NHGRI NIH HHS/ -- 5U01HG004695-04/HG/NHGRI NIH HHS/ -- K99 HG006698/HG/NHGRI NIH HHS/ -- P30 CA045508/CA/NCI NIH HHS/ -- R01 GM076655/GM/NIGMS NIH HHS/ -- R01 GM083300/GM/NIGMS NIH HHS/ -- R01 GM097231/GM/NIGMS NIH HHS/ -- RC2-HG005639/HG/NHGRI NIH HHS/ -- U01 HG004271/HG/NHGRI NIH HHS/ -- U01 HG007031/HG/NHGRI NIH HHS/ -- U01-HG004261/HG/NHGRI NIH HHS/ -- U54 HG006944/HG/NHGRI NIH HHS/ -- ZIA DK015600-18/Intramural NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2014 Aug 28;512(7515):393-9.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24670639" target="_blank"〉PubMed〈/a〉
    Keywords: Alternative Splicing/genetics ; Animals ; Drosophila melanogaster/anatomy & histology/cytology/*genetics ; Female ; *Gene Expression Profiling ; Male ; Molecular Sequence Annotation ; Nerve Tissue/metabolism ; Organ Specificity ; Poly A/genetics ; Polyadenylation ; Promoter Regions, Genetic/genetics ; RNA, Long Noncoding/genetics ; RNA, Messenger/genetics/metabolism ; Sex Characteristics ; Stress, Physiological/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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  • 4
    Publication Date: 2010-12-24
    Description: Drosophila melanogaster is one of the most well studied genetic model organisms; nonetheless, its genome still contains unannotated coding and non-coding genes, transcripts, exons and RNA editing sites. Full discovery and annotation are pre-requisites for understanding how the regulation of transcription, splicing and RNA editing directs the development of this complex organism. Here we used RNA-Seq, tiling microarrays and cDNA sequencing to explore the transcriptome in 30 distinct developmental stages. We identified 111,195 new elements, including thousands of genes, coding and non-coding transcripts, exons, splicing and editing events, and inferred protein isoforms that previously eluded discovery using established experimental, prediction and conservation-based approaches. These data substantially expand the number of known transcribed elements in the Drosophila genome and provide a high-resolution view of transcriptome dynamics throughout development.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3075879/" 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/PMC3075879/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Graveley, Brenton R -- Brooks, Angela N -- Carlson, Joseph W -- Duff, Michael O -- Landolin, Jane M -- Yang, Li -- Artieri, Carlo G -- van Baren, Marijke J -- Boley, Nathan -- Booth, Benjamin W -- Brown, James B -- Cherbas, Lucy -- Davis, Carrie A -- Dobin, Alex -- Li, Renhua -- Lin, Wei -- Malone, John H -- Mattiuzzo, Nicolas R -- Miller, David -- Sturgill, David -- Tuch, Brian B -- Zaleski, Chris -- Zhang, Dayu -- Blanchette, Marco -- Dudoit, Sandrine -- Eads, Brian -- Green, Richard E -- Hammonds, Ann -- Jiang, Lichun -- Kapranov, Phil -- Langton, Laura -- Perrimon, Norbert -- Sandler, Jeremy E -- Wan, Kenneth H -- Willingham, Aarron -- Zhang, Yu -- Zou, Yi -- Andrews, Justen -- Bickel, Peter J -- Brenner, Steven E -- Brent, Michael R -- Cherbas, Peter -- Gingeras, Thomas R -- Hoskins, Roger A -- Kaufman, Thomas C -- Oliver, Brian -- Celniker, Susan E -- U01 HB004271/HB/NHLBI NIH HHS/ -- U01 HG004271/HG/NHGRI NIH HHS/ -- U01 HG004271-01/HG/NHGRI NIH HHS/ -- ZIA DK015600-14/Intramural NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2011 Mar 24;471(7339):473-9. doi: 10.1038/nature09715. Epub 2010 Dec 22.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Genetics and Developmental Biology, University of Connecticut Health Center, 263 Farmington Avenue, Farmington, Connecticut 06030-6403, USA. graveley@neuron.uchc.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21179090" target="_blank"〉PubMed〈/a〉
    Keywords: Alternative Splicing/genetics ; Animals ; Base Sequence ; Drosophila Proteins/genetics ; Drosophila melanogaster/embryology/*genetics/*growth & development ; Exons/genetics ; Female ; *Gene Expression Profiling ; Gene Expression Regulation, Developmental/*genetics ; Genes, Insect/genetics ; Genome, Insect/genetics ; Male ; MicroRNAs/genetics ; Oligonucleotide Array Sequence Analysis ; Protein Isoforms/genetics ; RNA Editing/genetics ; RNA, Messenger/analysis/genetics ; RNA, Small Untranslated/analysis/genetics ; Sequence Analysis ; Sex Characteristics ; Transcription, Genetic/*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: 2015-05-15
    Description: Recursive splicing is a process in which large introns are removed in multiple steps by re-splicing at ratchet points--5' splice sites recreated after splicing. Recursive splicing was first identified in the Drosophila Ultrabithorax (Ubx) gene and only three additional Drosophila genes have since been experimentally shown to undergo recursive splicing. Here we identify 197 zero nucleotide exon ratchet points in 130 introns of 115 Drosophila genes from total RNA sequencing data generated from developmental time points, dissected tissues and cultured cells. The sequential nature of recursive splicing was confirmed by identification of lariat introns generated by splicing to and from the ratchet points. We also show that recursive splicing is a constitutive process, that depletion of U2AF inhibits recursive splicing, and that the sequence and function of ratchet points are evolutionarily conserved in Drosophila. Finally, we identify four recursively spliced human genes, one of which is also recursively spliced in Drosophila. Together, these results indicate that recursive splicing is commonly used in Drosophila, occurs in humans, and provides insight into the mechanisms by which some large introns are removed.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4529404/" 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/PMC4529404/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Duff, Michael O -- Olson, Sara -- Wei, Xintao -- Garrett, Sandra C -- Osman, Ahmad -- Bolisetty, Mohan -- Plocik, Alex -- Celniker, Susan E -- Graveley, Brenton R -- R01 GM095296/GM/NIGMS NIH HHS/ -- R01GM095296/GM/NIGMS NIH HHS/ -- U54 HG006994/HG/NHGRI NIH HHS/ -- U54HG006994/HG/NHGRI NIH HHS/ -- England -- Nature. 2015 May 21;521(7552):376-9. doi: 10.1038/nature14475. Epub 2015 May 13.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Genetics and Genome Sciences, Institute for Systems Genomics, University of Connecticut Health Center, Farmington, Connecticut 06030, USA. ; Department of Genome Dynamics, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25970244" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Base Sequence ; Cells, Cultured ; Drosophila melanogaster/*genetics ; Exons/genetics ; Female ; Genes, Insect/genetics ; Genome, Insect/*genetics ; Humans ; Introns/genetics ; Male ; Nuclear Proteins/deficiency/genetics/metabolism ; Nucleotides/*genetics ; RNA Splice Sites/genetics ; RNA Splicing/*genetics ; Reproducibility of Results ; Ribonucleoproteins/deficiency/genetics/metabolism
    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: 2010-12-24
    Description: To gain insight into how genomic information is translated into cellular and developmental programs, the Drosophila model organism Encyclopedia of DNA Elements (modENCODE) project is comprehensively mapping transcripts, histone modifications, chromosomal proteins, transcription factors, replication proteins and intermediates, and nucleosome properties across a developmental time course and in multiple cell lines. We have generated more than 700 data sets and discovered protein-coding, noncoding, RNA regulatory, replication, and chromatin elements, more than tripling the annotated portion of the Drosophila genome. Correlated activity patterns of these elements reveal a functional regulatory network, which predicts putative new functions for genes, reveals stage- and tissue-specific regulators, and enables gene-expression prediction. Our results provide a foundation for directed experimental and computational studies in Drosophila and related species and also a model for systematic data integration toward comprehensive genomic and functional annotation.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3192495/" 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/PMC3192495/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉modENCODE Consortium -- Roy, Sushmita -- Ernst, Jason -- Kharchenko, Peter V -- Kheradpour, Pouya -- Negre, Nicolas -- Eaton, Matthew L -- Landolin, Jane M -- Bristow, Christopher A -- Ma, Lijia -- Lin, Michael F -- Washietl, Stefan -- Arshinoff, Bradley I -- Ay, Ferhat -- Meyer, Patrick E -- Robine, Nicolas -- Washington, Nicole L -- Di Stefano, Luisa -- Berezikov, Eugene -- Brown, Christopher D -- Candeias, Rogerio -- Carlson, Joseph W -- Carr, Adrian -- Jungreis, Irwin -- Marbach, Daniel -- Sealfon, Rachel -- Tolstorukov, Michael Y -- Will, Sebastian -- Alekseyenko, Artyom A -- Artieri, Carlo -- Booth, Benjamin W -- Brooks, Angela N -- Dai, Qi -- Davis, Carrie A -- Duff, Michael O -- Feng, Xin -- Gorchakov, Andrey A -- Gu, Tingting -- Henikoff, Jorja G -- Kapranov, Philipp -- Li, Renhua -- MacAlpine, Heather K -- Malone, John -- Minoda, Aki -- Nordman, Jared -- Okamura, Katsutomo -- Perry, Marc -- Powell, Sara K -- Riddle, Nicole C -- Sakai, Akiko -- Samsonova, Anastasia -- Sandler, Jeremy E -- Schwartz, Yuri B -- Sher, Noa -- Spokony, Rebecca -- Sturgill, David -- van Baren, Marijke -- Wan, Kenneth H -- Yang, Li -- Yu, Charles -- Feingold, Elise -- Good, Peter -- Guyer, Mark -- Lowdon, Rebecca -- Ahmad, Kami -- Andrews, Justen -- Berger, Bonnie -- Brenner, Steven E -- Brent, Michael R -- Cherbas, Lucy -- Elgin, Sarah C R -- Gingeras, Thomas R -- Grossman, Robert -- Hoskins, Roger A -- Kaufman, Thomas C -- Kent, William -- Kuroda, Mitzi I -- Orr-Weaver, Terry -- Perrimon, Norbert -- Pirrotta, Vincenzo -- Posakony, James W -- Ren, Bing -- Russell, Steven -- Cherbas, Peter -- Graveley, Brenton R -- Lewis, Suzanna -- Micklem, Gos -- Oliver, Brian -- Park, Peter J -- Celniker, Susan E -- Henikoff, Steven -- Karpen, Gary H -- Lai, Eric C -- MacAlpine, David M -- Stein, Lincoln D -- White, Kevin P -- Kellis, Manolis -- R01 HG004037/HG/NHGRI NIH HHS/ -- R01HG004037/HG/NHGRI NIH HHS/ -- RC2HG005639/HG/NHGRI NIH HHS/ -- U01 HG004258/HG/NHGRI NIH HHS/ -- U01 HG004271/HG/NHGRI NIH HHS/ -- U01 HG004279/HG/NHGRI NIH HHS/ -- U01HG004258/HG/NHGRI NIH HHS/ -- U01HG004261/HG/NHGRI NIH HHS/ -- U01HG004264/HG/NHGRI NIH HHS/ -- U01HG004271/HG/NHGRI NIH HHS/ -- U01HG004274/HG/NHGRI NIH HHS/ -- U01HG004279/HG/NHGRI NIH HHS/ -- U41HG004269/HG/NHGRI NIH HHS/ -- ZIA DK015600-14/Intramural NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2010 Dec 24;330(6012):1787-97. doi: 10.1126/science.1198374. Epub 2010 Dec 22.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21177974" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Binding Sites ; *Chromatin/genetics/metabolism ; Computational Biology/methods ; Drosophila Proteins/genetics/metabolism ; Drosophila melanogaster/*genetics/growth & development/metabolism ; Epigenesis, Genetic ; Gene Expression Regulation ; *Gene Regulatory Networks ; Genes, Insect ; *Genome, Insect ; Genomics/methods ; Histones/metabolism ; *Molecular Sequence Annotation ; Nucleosomes/genetics/metabolism ; Promoter Regions, Genetic ; RNA, Small Untranslated/genetics/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
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  • 7
    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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  • 8
    Electronic Resource
    Electronic Resource
    Springer
    Molecular genetics and genomics 252 (1996), S. 412-419 
    ISSN: 1617-4623
    Keywords: Transcription ; RNA polymerase I ; Elongation ; TFIIS
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract Efficient transcription elongation by RNA polymerase I (Pol I) requires a specific Pol I-associated factor, termed TIF-IC. Here we show that TFIIS, a factor that has previously been shown to promote read-through past many types of blocks to elongation by RNA polymerase II, also enhances Pol I- directed transcription elongation. In a reconstituted transcription system containing purified proteins, TFIIS stimulates Pol I transcription by increasing the overall rate of RNA chain elongation. As with Pol II, ternary Pol I complexes cleave the 3′ end of the nascent transcripts in response to TFIIS. The truncated RNAs remain bound to the template, are subject to pyrophosphorolysis, and can be chased into longer transcripts. Moreover, we show by immunoprecipitation and specific affinity chromatography that TFIIS physically interacts with Pol I. The results suggest that nascent transcript cleavage by TFIIS or a TFIIS-related factor may be a general mechanism by which both Pol I and Pol II can bypass transcriptional impediments.
    Type of Medium: Electronic Resource
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  • 9
    Publication Date: 2010-07-01
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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  • 10
    Publication Date: 2015-09-22
    Description: In species with a heterogametic sex, population genetics theory predicts that DNA sequences on the X chromosome can evolve faster than comparable sequences on autosomes. Both neutral and nonneutral evolutionary processes can generate this pattern. Complex traits like gene expression are not predicted to have accelerated evolution by these theories, yet a "faster-X" pattern of gene expression divergence has recently been reported for both Drosophila and mammals. Here, we test the hypothesis that accelerated adaptive evolution of cis -regulatory sequences on the X chromosome is responsible for this pattern by comparing the relative contributions of cis - and trans -regulatory changes to patterns of faster-X expression divergence observed between strains and species of Drosophila with a range of divergence times. We find support for this hypothesis, especially among male-biased genes, when comparing different species. However, we also find evidence that trans -regulatory differences contribute to a faster-X pattern of expression divergence both within and between species. This contribution is surprising because trans -acting regulators of X-linked genes are generally assumed to be randomly distributed throughout the genome. We found, however, that X-linked transcription factors appear to preferentially regulate expression of X-linked genes, providing a potential mechanistic explanation for this result. The contribution of trans -regulatory variation to faster-X expression divergence was larger within than between species, suggesting that it is more likely to result from neutral processes than positive selection. These data show how accelerated evolution of both coding and noncoding sequences on the X chromosome can lead to accelerated expression divergence on the X chromosome relative to autosomes.
    Print ISSN: 0737-4038
    Electronic ISSN: 1537-1719
    Topics: Biology
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