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  • 1
    Publication Date: 2013-06-07
    Description: Previous investigations of the core gene regulatory circuitry that controls the pluripotency of embryonic stem (ES) cells have largely focused on the roles of transcription, chromatin and non-coding RNA regulators. Alternative splicing represents a widely acting mode of gene regulation, yet its role in regulating ES-cell pluripotency and differentiation is poorly understood. Here we identify the muscleblind-like RNA binding proteins, MBNL1 and MBNL2, as conserved and direct negative regulators of a large program of cassette exon alternative splicing events that are differentially regulated between ES cells and other cell types. Knockdown of MBNL proteins in differentiated cells causes switching to an ES-cell-like alternative splicing pattern for approximately half of these events, whereas overexpression of MBNL proteins in ES cells promotes differentiated-cell-like alternative splicing patterns. Among the MBNL-regulated events is an ES-cell-specific alternative splicing switch in the forkhead family transcription factor FOXP1 that controls pluripotency. Consistent with a central and negative regulatory role for MBNL proteins in pluripotency, their knockdown significantly enhances the expression of key pluripotency genes and the formation of induced pluripotent stem cells during somatic cell reprogramming.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3933998/" 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/PMC3933998/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Han, Hong -- Irimia, Manuel -- Ross, P Joel -- Sung, Hoon-Ki -- Alipanahi, Babak -- David, Laurent -- Golipour, Azadeh -- Gabut, Mathieu -- Michael, Iacovos P -- Nachman, Emil N -- Wang, Eric -- Trcka, Dan -- Thompson, Tadeo -- O'Hanlon, Dave -- Slobodeniuc, Valentina -- Barbosa-Morais, Nuno L -- Burge, Christopher B -- Moffat, Jason -- Frey, Brendan J -- Nagy, Andras -- Ellis, James -- Wrana, Jeffrey L -- Blencowe, Benjamin J -- R01 HG002439/HG/NHGRI NIH HHS/ -- R33 MH087908/MH/NIMH NIH HHS/ -- R33MH087908/MH/NIMH NIH HHS/ -- Canadian Institutes of Health Research/Canada -- England -- Nature. 2013 Jun 13;498(7453):241-5. doi: 10.1038/nature12270. Epub 2013 Jun 5.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Banting and Best Department of Medical Research and Donnelly Centre, University of Toronto, Toronto, Ontario M5S 3E1, Canada.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23739326" target="_blank"〉PubMed〈/a〉
    Keywords: *Alternative Splicing/genetics ; Amino Acid Motifs ; Animals ; Cell Differentiation/genetics ; Cell Line ; *Cellular Reprogramming ; DNA-Binding Proteins/chemistry/deficiency/genetics/*metabolism ; Embryonic Stem Cells/*cytology/*metabolism ; Fibroblasts/cytology/metabolism ; Forkhead Transcription Factors/metabolism ; Gene Knockdown Techniques ; HEK293 Cells ; HeLa Cells ; Humans ; Induced Pluripotent Stem Cells/cytology/metabolism ; Kinetics ; Mice ; RNA-Binding Proteins/chemistry/genetics/*metabolism ; Repressor Proteins/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: 2014-12-20
    Description: To facilitate precision medicine and whole-genome annotation, we developed a machine-learning technique that scores how strongly genetic variants affect RNA splicing, whose alteration contributes to many diseases. Analysis of more than 650,000 intronic and exonic variants revealed widespread patterns of mutation-driven aberrant splicing. Intronic disease mutations that are more than 30 nucleotides from any splice site alter splicing nine times as often as common variants, and missense exonic disease mutations that have the least impact on protein function are five times as likely as others to alter splicing. We detected tens of thousands of disease-causing mutations, including those involved in cancers and spinal muscular atrophy. Examination of intronic and exonic variants found using whole-genome sequencing of individuals with autism revealed misspliced genes with neurodevelopmental phenotypes. Our approach provides evidence for causal variants and should enable new discoveries in precision medicine.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4362528/" 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/PMC4362528/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Xiong, Hui Y -- Alipanahi, Babak -- Lee, Leo J -- Bretschneider, Hannes -- Merico, Daniele -- Yuen, Ryan K C -- Hua, Yimin -- Gueroussov, Serge -- Najafabadi, Hamed S -- Hughes, Timothy R -- Morris, Quaid -- Barash, Yoseph -- Krainer, Adrian R -- Jojic, Nebojsa -- Scherer, Stephen W -- Blencowe, Benjamin J -- Frey, Brendan J -- P30 CA045508/CA/NCI NIH HHS/ -- R37 GM042699/GM/NIGMS NIH HHS/ -- R37-GM42699A/GM/NIGMS NIH HHS/ -- Canadian Institutes of Health Research/Canada -- New York, N.Y. -- Science. 2015 Jan 9;347(6218):1254806. doi: 10.1126/science.1254806. Epub 2014 Dec 18.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Electrical and Computer Engineering, University of Toronto, Toronto, Ontario M5S 3G4, Canada. Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario M5S 3E1, Canada. Program on Genetic Networks and Program on Neural Computation & Adaptive Perception, Canadian Institute for Advanced Research, Toronto, Ontario M5G 1Z8, Canada. ; Department of Electrical and Computer Engineering, University of Toronto, Toronto, Ontario M5S 3G4, Canada. Program on Genetic Networks and Program on Neural Computation & Adaptive Perception, Canadian Institute for Advanced Research, Toronto, Ontario M5G 1Z8, Canada. Department of Computer Science, University of Toronto, Toronto, Ontario M5S 3G4, Canada. ; McLaughlin Centre, University of Toronto, Toronto, Ontario M5G 0A4, Canada. Centre for Applied Genomics, Hospital for Sick Children, Toronto, Ontario M5G 1X8, Canada. Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 1A8, Canada. ; Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA. ; Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario M5S 3E1, Canada. Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 1A8, Canada. ; Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario M5S 3E1, Canada. Program on Genetic Networks and Program on Neural Computation & Adaptive Perception, Canadian Institute for Advanced Research, Toronto, Ontario M5G 1Z8, Canada. Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 1A8, Canada. ; Department of Electrical and Computer Engineering, University of Toronto, Toronto, Ontario M5S 3G4, Canada. Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario M5S 3E1, Canada. Program on Genetic Networks and Program on Neural Computation & Adaptive Perception, Canadian Institute for Advanced Research, Toronto, Ontario M5G 1Z8, Canada. Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 1A8, Canada. ; Department of Electrical and Computer Engineering, University of Toronto, Toronto, Ontario M5S 3G4, Canada. Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario M5S 3E1, Canada. School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. ; eScience Group, Microsoft Research, Redmond, WA 98052, USA. ; Program on Genetic Networks and Program on Neural Computation & Adaptive Perception, Canadian Institute for Advanced Research, Toronto, Ontario M5G 1Z8, Canada. McLaughlin Centre, University of Toronto, Toronto, Ontario M5G 0A4, Canada. Centre for Applied Genomics, Hospital for Sick Children, Toronto, Ontario M5G 1X8, Canada. Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 1A8, Canada. ; Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario M5S 3E1, Canada. McLaughlin Centre, University of Toronto, Toronto, Ontario M5G 0A4, Canada. Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 1A8, Canada. ; Department of Electrical and Computer Engineering, University of Toronto, Toronto, Ontario M5S 3G4, Canada. Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario M5S 3E1, Canada. Program on Genetic Networks and Program on Neural Computation & Adaptive Perception, Canadian Institute for Advanced Research, Toronto, Ontario M5G 1Z8, Canada. Department of Computer Science, University of Toronto, Toronto, Ontario M5S 3G4, Canada. McLaughlin Centre, University of Toronto, Toronto, Ontario M5G 0A4, Canada. Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 1A8, Canada. eScience Group, Microsoft Research, Redmond, WA 98052, USA. frey@psi.toronto.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25525159" target="_blank"〉PubMed〈/a〉
    Keywords: Adaptor Proteins, Signal Transducing/genetics ; *Artificial Intelligence ; Child Development Disorders, Pervasive/*genetics ; Colorectal Neoplasms, Hereditary Nonpolyposis/*genetics ; Computer Simulation ; DNA/genetics ; Exons/genetics ; Genetic Code ; Genetic Markers ; Genetic Variation ; Genome-Wide Association Study/*methods ; Humans ; Introns/genetics ; Models, Genetic ; Molecular Sequence Annotation/*methods ; Muscular Atrophy, Spinal/*genetics ; Mutation, Missense ; Nuclear Proteins/genetics ; Polymorphism, Single Nucleotide ; Quantitative Trait Loci ; RNA Splice Sites/genetics ; RNA Splicing/*genetics ; RNA-Binding Proteins/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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  • 3
    Publication Date: 2015-11-04
    Description: Chromosome 22q11.2 microdeletions impart a high but incomplete risk for schizophrenia. Possible mechanisms include genome-wide effects of DGCR8 haploinsufficiency. In a proof-of-principle study to assess the power of this model, we used high-quality, whole-genome sequencing of nine individuals with 22q11.2 deletions and extreme phenotypes (schizophrenia, or no psychotic disorder at age 〉50 years). The schizophrenia group had a greater burden of rare, damaging variants impacting protein-coding neurofunctional genes, including genes involved in neuron projection (nominal P = 0.02, joint burden of three variant types). Variants in the intact 22q11.2 region were not major contributors. Restricting to genes affected by a DGCR8 mechanism tended to amplify between-group differences. Damaging variants in highly conserved long intergenic noncoding RNA genes also were enriched in the schizophrenia group (nominal P = 0.04). The findings support the 22q11.2 deletion model as a threshold-lowering first hit for schizophrenia risk. If applied to a larger and thus better-powered cohort, this appears to be a promising approach to identify genome-wide rare variants in coding and noncoding sequence that perturb gene networks relevant to idiopathic schizophrenia. Similarly designed studies exploiting genetic models may prove useful to help delineate the genetic architecture of other complex phenotypes.
    Electronic ISSN: 2160-1836
    Topics: Biology
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  • 4
    Publication Date: 2009-05-28
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
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