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De novo Identification of Actively Translated Open Reading Frames with Ribosome Profiling Data
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Starting too soon: upstream reading frames repress downstream translation.

Anna M McGeachy1, Nicholas T Ingolia2

  • 1Program in Cell, Molecular, Developmental Biology, and Biophysics, Johns Hopkins University, Baltimore, MD, USA Department of Molecular and Cell Biology, Center for RNA Systems Biology, California Institute for Quantitative Biomedical Sciences University of California Berkeley, Berkeley, CA, USA.

The EMBO Journal
|February 21, 2016
PubMed
Summary
This summary is machine-generated.

Upstream open reading frames (uORFs) regulate gene expression. Johnstone et al. demonstrate that conserved uORFs impact downstream translation and are under selective pressure, enhancing our understanding of gene regulation.

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Area of Science:

  • Molecular Biology
  • Genetics
  • Bioinformatics

Background:

  • Upstream open reading frames (uORFs) are known regulators of specific gene transcripts.
  • Previous studies computationally and experimentally identified potential genome-wide uORF regulation.
  • Understanding uORF function is crucial for deciphering gene expression dynamics.

Purpose of the Study:

  • To identify translated uORFs using ribosome profiling.
  • To quantify the impact of uORFs on downstream translation.
  • To investigate the evolutionary conservation and selective constraint of regulatory uORFs.

Main Methods:

  • Ribosome profiling to detect translated uORFs.
  • Analysis of translational efficiency and downstream effects.
  • Cross-species conservation analysis and assessment of selective constraint.

Main Results:

  • Identification of translated uORFs across the genome.
  • Demonstration of uORFs influencing downstream translation levels.
  • Evidence for conservation and selective constraint of regulatory uORFs across species.

Conclusions:

  • Translational regulation by uORFs is a significant mechanism in gene expression.
  • Conserved uORFs are subject to evolutionary selection, highlighting their functional importance.
  • This work expands the understanding of dynamic gene expression regulation via uORFs.