期刊
NATURE COMMUNICATIONS
卷 8, 期 -, 页码 -出版社
NATURE RESEARCH
DOI: 10.1038/s41467-017-01981-8
关键词
-
资金
- NIH [K99/R00, NIH R00 CA172700, K99 CA207865, 1S10OD012304-01, R00CA175290, CA16303-41, GM114160]
- Sidney Kimmel Scholar Award
- Cancer Prevention Research Institute of Texas (CPRIT) [RP130397]
- CPRIT [RP130397, RR140071, RP160283]
- Welch Foundation [I-1800]
- U.S. National Cancer Institute (NCI)
- U.S. National Cancer Institute (MD Anderson TCGA Genome Data Analysis Center) [CA143883]
- Mary K. Chapman Foundation
- Michael AMP
- Susan Dell Foundation
- MD Anderson Cancer Center Support Grant [P30 CA016672]
Translation is principally regulated at the initiation stage. The development of the translation initiation (TI) sequencing (TI-seq) technique has enabled the global mapping of TIs and revealed unanticipated complex translational landscapes in metazoans. Despite the wide adoption of TI-seq, there is no computational tool currently available for analyzing TI-seq data. To fill this gap, we develop a comprehensive toolkit named Ribo-TISH, which allows for detecting and quantitatively comparing TIs across conditions from TI-seq data. Ribo-TISH can also predict novel open reading frames (ORFs) from regular ribosome profiling (rRibo-seq) data and outperform several established methods in both computational efficiency and prediction accuracy. Applied to published TI-seq/rRibo-seq data sets, Ribo-TISH uncovers a novel signature of elevated mitochondrial translation during amino-acid deprivation and predicts novel ORFs in 5'UTRs, long noncoding RNAs, and introns. These successful applications demonstrate the power of Ribo-TISH in extracting biological insights from TI-seq/rRibo-seq data.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据