4.7 Article

Quantitative model suggests both intrinsic and contextual features contribute to the transcript coding ability determination in cells

期刊

BRIEFINGS IN BIOINFORMATICS
卷 23, 期 1, 页码 -

出版社

OXFORD UNIV PRESS
DOI: 10.1093/bib/bbab483

关键词

Noncoding RNAs; Expression Regulation; Long noncoding RNAs

资金

  1. National Key Research and Development Program [2016YFC0901603]
  2. China 863 Program [2015AA020108]
  3. State Key Laboratory of Protein and Plant Gene Research
  4. Beijing Advanced Innovation Center for Genomics (ICG) at Peking University
  5. National Program for Support of Top-notch Young Professionals

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This study introduces the ribosome calculator, which quantitatively models the coding ability of RNAs in the human genome, and successfully predicts transcripts with different coding abilities in various cell types. This suggests that the coding ability of transcripts should be modeled as a continuous spectrum with context-dependent nature.
Gene transcription and protein translation are two key steps of the 'central dogma.' It is still a major challenge to quantitatively deconvolute factors contributing to the coding ability of transcripts in mammals. Here, we propose ribosome calculator (RiboCalc) for quantitatively modeling the coding ability of RNAs in human genome. In addition to effectively predicting the experimentally confirmed coding abundance via sequence and transcription features with high accuracy, RiboCalc provides interpretable parameters with biological information. Large-scale analysis further revealed a number of transcripts with a variety of coding ability for distinct types of cells (i.e. context-dependent coding transcripts), suggesting that, contrary to conventional wisdom, a transcript's coding ability should be modeled as a continuous spectrum with a context-dependent nature.

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