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Phillip A. Sharp
Researcher at Massachusetts Institute of Technology
Publications - 618
Citations - 125567
Phillip A. Sharp is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: RNA & Gene. The author has an hindex of 172, co-authored 614 publications receiving 117126 citations. Previous affiliations of Phillip A. Sharp include McGovern Institute for Brain Research & Medical Research Council.
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Journal ArticleDOI
RNA Bind-n-Seq: Quantitative Assessment of the Sequence and Structural Binding Specificity of RNA Binding Proteins
Nicole J. Lambert,Alex Robertson,Mohini Jangi,Sean E. McGeary,Phillip A. Sharp,Christopher B. Burge +5 more
TL;DR: RNA Bind-n-Seq (RBNS) as mentioned in this paper is a method that comprehensively characterizes sequence and structural specificity of RNA binding proteins (RBPs), and its application to the developmental alternative splicing factors RBFOX2, CELF1/CUGBP1, and MBNL1.
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A multicomponent complex is involved in the splicing of messenger RNA precursors
TL;DR: RNA within the 60S complex, predominantly precursor RNA, was chased into products with accelerated kinetics and more complete conversion than purified precursor RNA.
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DNA topology and a minimal set of basal factors for transcription by RNA polymerase II.
TL;DR: The more negatively supercoiled the IgH template DNA was, the more active the transcription and the free energy of supercoiling promotes the formation of an open complex for initiation of transcription by the minimal set of transcription factors.
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Detained introns are a novel, widespread class of post-transcriptionally spliced introns.
TL;DR: Data suggest a widespread mechanism by which the rate of splicing of DIs contributes to the level of gene expression, and almost one-third of these are p53 transcriptional targets.
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The role of miRNAs in regulating gene expression networks.
Allan M. Gurtan,Phillip A. Sharp +1 more
TL;DR: This work reviews mammalian miRNAs by describing recent advances in understanding their molecular activity and network-wide function and describes the technical challenges facing the network-based study of miRNA study.