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Integrative Regulatory Mapping Indicates that the RNA-Binding Protein HuR Couples Pre-mRNA Processing and mRNA Stability

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Date
2011-08-05
Authors
Mukherjee, Neelanjan
Corcoran, David L
Nusbaum, Jeffrey D
Reid, David W
Georgiev, Stoyan
Hafner, Markus
Ascano, Manuel
Tuschl, Thomas
Ohler, Uwe
Keene, Jack D
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(10 total)
Repository Usage Stats
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47
downloads
Type
Journal article
Subject
Science & Technology
Life Sciences & Biomedicine
Biochemistry & Molecular Biology
Cell Biology
GENE-EXPRESSION
RIBONUCLEOPROTEIN COMPLEXES
GENOME-WIDE
IDENTIFICATION
SEQUENCES
ELAV
TRANSCRIPTION
TRANSLATION
INCREASES
DOMAINS
Permalink
https://hdl.handle.net/10161/18371
Published Version (Please cite this version)
10.1016/j.molce1.2011.06.007
Publication Info
Mukherjee, Neelanjan; Corcoran, David L; Nusbaum, Jeffrey D; Reid, David W; Georgiev, Stoyan; Hafner, Markus; ... Keene, Jack D (2011). Integrative Regulatory Mapping Indicates that the RNA-Binding Protein HuR Couples Pre-mRNA Processing and mRNA Stability. MOLECULAR CELL, 43(3). pp. 327-339. 10.1016/j.molce1.2011.06.007. Retrieved from https://hdl.handle.net/10161/18371.
This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.
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Scholars@Duke

Keene

Jack Donald Keene

James B. Duke Distinguished Professor of Molecular Genetics and Microbiology
The Keene Laboratory has a long-term interest in the structure and function of viral and mammalian genomes. Having determined the first genomic sequences for rabies, Ebola, Marburg and vesicular stomatitis virus, and discerned the origins of defective interfering viruses, interests shifted to the cloning of six human genes involved in autoimmune reactivity. This resulted in the identification of numerous autoimmune RRM-type RNA-binding proteins the discovery of the RRM, and the RNA targets
Ohler

Uwe Ohler

Adjunct Associate Professor in the Department of Biostatistics & Bioinformatics
Computational Biology of Gene Regulation Sequence Analysis Image Expression Analysis Applied Machine Learning
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