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  • Drosophila Proteins/genetics/metabolism  (2)
  • *Dosage Compensation, Genetic  (1)
  • 1
    Publication Date: 2011-03-04
    Description: The evolution of sex chromosomes has resulted in numerous species in which females inherit two X chromosomes but males have a single X, thus requiring dosage compensation. MSL (Male-specific lethal) complex increases transcription on the single X chromosome of Drosophila males to equalize expression of X-linked genes between the sexes. The biochemical mechanisms used for dosage compensation must function over a wide dynamic range of transcription levels and differential expression patterns. It has been proposed that the MSL complex regulates transcriptional elongation to control dosage compensation, a model subsequently supported by mapping of the MSL complex and MSL-dependent histone 4 lysine 16 acetylation to the bodies of X-linked genes in males, with a bias towards 3' ends. However, experimental analysis of MSL function at the mechanistic level has been challenging owing to the small magnitude of the chromosome-wide effect and the lack of an in vitro system for biochemical analysis. Here we use global run-on sequencing (GRO-seq) to examine the specific effect of the MSL complex on RNA Polymerase II (RNAP II) on a genome-wide level. Results indicate that the MSL complex enhances transcription by facilitating the progression of RNAP II across the bodies of active X-linked genes. Improving transcriptional output downstream of typical gene-specific controls may explain how dosage compensation can be imposed on the diverse set of genes along an entire chromosome.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3076316/" 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/PMC3076316/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Larschan, Erica -- Bishop, Eric P -- Kharchenko, Peter V -- Core, Leighton J -- Lis, John T -- Park, Peter J -- Kuroda, Mitzi I -- GM082798/GM/NIGMS NIH HHS/ -- GM45744/GM/NIGMS NIH HHS/ -- HG4845/HG/NHGRI NIH HHS/ -- R01 HG004845/HG/NHGRI NIH HHS/ -- R01 HG004845-01/HG/NHGRI NIH HHS/ -- R01 HG004845-02/HG/NHGRI NIH HHS/ -- R37 GM045744/GM/NIGMS NIH HHS/ -- England -- Nature. 2011 Mar 3;471(7336):115-8. doi: 10.1038/nature09757.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts 02115, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21368835" target="_blank"〉PubMed〈/a〉
    Keywords: Acetylation ; Animals ; Cell Line ; Chromosomes, Insect/*genetics/metabolism ; DNA-Binding Proteins/genetics/metabolism ; Dosage Compensation, Genetic/*genetics ; Drosophila Proteins/genetics/metabolism ; Drosophila melanogaster/enzymology/*genetics ; Genes, Insect/genetics ; Genes, X-Linked/genetics ; Histones/chemistry/metabolism ; Male ; Nuclear Proteins/genetics/metabolism ; RNA Polymerase II/metabolism ; Sequence Analysis, DNA ; Transcription Factors/genetics/metabolism ; *Transcription, Genetic/genetics ; X Chromosome/*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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  • 2
    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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  • 3
    Publication Date: 2013-04-20
    Description: Conrad et al. (Reports, 10 August 2012, p. 742) reported a doubling of RNA polymerase II (Pol II) occupancy at X-linked promoters to support 5' recruitment as the key mechanism for dosage compensation in Drosophila. However, they employed an erroneous data-processing step, overestimating Pol II differences. Reanalysis of the data fails to support the authors' model for dosage compensation.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3665607/" 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/PMC3665607/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Ferrari, F -- Jung, Y L -- Kharchenko, P V -- Plachetka, A -- Alekseyenko, A A -- Kuroda, M I -- Park, P J -- GM45744/GM/NIGMS NIH HHS/ -- R37 GM045744/GM/NIGMS NIH HHS/ -- New York, N.Y. -- Science. 2013 Apr 19;340(6130):273. doi: 10.1126/science.1231815.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23599463" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; DNA Polymerase II/*metabolism ; *Dosage Compensation, Genetic ; Drosophila/*genetics ; Drosophila Proteins/*metabolism ; Female ; *Genes, X-Linked ; Male ; *Promoter Regions, Genetic ; X Chromosome/*genetics
    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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