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Genome-wide identification and differential analysis of translational initiation

  • Peng Zhang
  • , Dandan He
  • , Yi Xu
  • , Jiakai Hou
  • , Bih Fang Pan
  • , Yunfei Wang
  • , Tao Liu
  • , Christel M. Davis
  • , Erik A. Ehli
  • , Lin Tan
  • , Feng Zhou
  • , Jian Hu
  • , Yonghao Yu
  • , Xi Chen
  • , Tuan M. Nguyen
  • , Jeffrey M. Rosen
  • , David H. Hawke
  • , Zhe Ji
  • , Yiwen Chen
  • University of Texas MD Anderson Cancer Center
  • Avera Health
  • Fudan University
  • University of Texas Southwestern Medical Center
  • Baylor College of Medicine
  • Harvard University
  • Massachusetts Institute of Technology

Research output: Contribution to journalArticlepeer-review

118 Scopus citations

Abstract

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.

Original languageEnglish
Article number1749
JournalNature Communications
Volume8
Issue number1
DOIs
StatePublished - Dec 1 2017

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