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Translation efficiency covariation identifies conserved coordination patterns across cell types.

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This study introduces translation efficiency covariation (TEC) to reveal coordinated gene translation patterns across cells. TEC is conserved in mammals and identifies gene functions missed by RNA analysis, offering new biotechnological applications.

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Area of Science:

  • Genomics
  • Molecular Biology
  • Systems Biology

Background:

  • Gene expression coordination is well-studied at the RNA level, aiding regulatory network discovery.
  • Coordination of gene expression at the translational level remains largely unexplored.

Purpose of the Study:

  • To investigate if gene expression coordination extends to the translational level.
  • To introduce and define translation efficiency covariation (TEC) as a measure of coordinated translation.
  • To explore the conservation and functional implications of TEC in mammals.

Main Methods:

  • Uniform analysis of 3,819 ribosome profiling datasets from human and mouse tissues/cell lines.
  • Development and application of the TEC metric to identify coordinated translation patterns.
  • Comparison of TEC with RNA and protein co-expression patterns.

Main Results:

  • Identified TEC as a conserved organizing principle in mammalian transcriptomes.
  • TEC uncovers gene functions not apparent from RNA or protein co-expression.
  • Physically interacting proteins show enriched positive covariation at both translational and transcriptional levels.
  • Nominated candidate mechanisms driving shared translation regulation patterns.

Conclusions:

  • Translation efficiency covariation (TEC) is a conserved feature of mammalian gene expression.
  • TEC provides a novel framework for understanding gene function and regulation.
  • TEC has potential as a predictive marker and for applications in synthetic biology.