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Genome-wide identification and differential analysis of translational initiation

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2017

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Nature Publishing Group UK
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Zhang, P., D. He, Y. Xu, J. Hou, B. Pan, Y. Wang, T. Liu, et al. 2017. “Genome-wide identification and differential analysis of translational initiation.” Nature Communications 8 (1): 1749. doi:10.1038/s41467-017-01981-8. http://dx.doi.org/10.1038/s41467-017-01981-8.

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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.

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