Long noncoding RNAs regulate adipogenesis
Name
Lodish-2013-Long noncoding RNAs regulate adipogenesis.pdf
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1.04 MB
Format
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Author(s)
Sun, Lei
Goff, Loyal
Alexander, Ryan K.
Lo, Kinyui Alice
Yuan, Bingbing B.
Kellis, Manolis
Lodish, Harvey F.
Trapnell, Cole
Hacisuleyman, Ezgi
Sauvageau, Martin
Date Issued
February 2013
Journal
Proceedings of the National Academy of Sciences
Publisher
National Academy of Sciences (U.S.)
Citation
Sun, L., L. A. Goff, C. Trapnell, R. Alexander, K. A. Lo, E. Hacisuleyman, M. Sauvageau, et al. “Long noncoding RNAs regulate adipogenesis.” Proceedings of the National Academy of Sciences 110, no. 9 (February 26, 2013): 3387-3392.
Version
Final published version
Abstract
The prevalence of obesity has led to a surge of interest in understanding the detailed mechanisms underlying adipocyte development. Many protein-coding genes, mRNAs, and microRNAs have been implicated in adipocyte development, but the global expression patterns and functional contributions of long noncoding RNA (lncRNA) during adipogenesis have not been explored. Here we profiled the transcriptome of primary brown and white adipocytes, preadipocytes, and cultured adipocytes and identified 175 lncRNAs that are specifically regulated during adipogenesis. Many lncRNAs are adipose-enriched, strongly induced during adipogenesis, and bound at their promoters by key transcription factors such as peroxisome proliferator-activated receptor γ (PPARγ) and CCAAT/enhancer-binding protein α (CEBPα). RNAi-mediated loss of function screens identified functional lncRNAs with varying impact on adipogenesis. Collectively, we have identified numerous lncRNAs that are functionally required for proper adipogenesis.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. Department of Biology
Massachusetts Institute of Technology. Department of Chemistry
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Whitehead Institute for Biomedical Research
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1073/pnas.1222643110
