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Related Concept Videos

Translational Regulation01:29

Translational Regulation

Translational regulation in prokaryotes ensures efficient protein synthesis by controlling ribosome access to mRNA. This regulation is mediated by secondary RNA structures, including translational riboswitches, RNA thermometers, and small RNAs (sRNAs), which respond to intracellular and environmental signals to modulate gene expression.Translational RiboswitchesRiboswitches in the leader region of mRNAs can regulate translation by altering the accessibility of the Shine-Dalgarno (SD) sequence,...
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Gene expression can be regulated at almost every step from gene to protein. Transcription is the step that is most commonly regulated. This involves the binding of proteins to short regulatory sequences on the DNA. This association can either promote or inhibit the transcription of a gene associated with the respective sequence.
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Regulation of Expression Occurs at Multiple Steps02:24

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Regulation of Expression at Multiple Steps01:23

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The gene expression in cells is regulated at different stages: (i) transcription, (ii) RNA processing, (iii) RNA localization, and (iv) translation. Transcriptional regulation is mediated by regulatory proteins such as transcription factors, activators, or repressors—these control gene expression by initiating or inhibiting the transcription of genes. Once a precursor or pre-mRNA is produced, it undergoes post-transcriptional modification, including 5' capping, splicing, and the addition of a...
Cell Signaling Feedback Loops01:07

Cell Signaling Feedback Loops

Positive and negative feedback loops are crucial for regulating biological signaling systems. These feedback loops are processes that connect output signals to their inputs.
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Transcriptional Regulation: Riboswitches

Riboswitches are RNA elements that regulate gene expression by altering their secondary structures in response to specific effector molecules. These elements, located in the leader regions of certain mRNAs, act as transcriptional regulators by toggling between alternative conformations to control downstream gene expression. Riboswitch-mediated regulation is a precise mechanism for modulating biosynthetic pathways, as exemplified by the riboflavin biosynthesis pathway in Bacillus...

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Polysome Fractionation and Analysis of Mammalian Translatomes on a Genome-wide Scale
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Regulation of release factor expression using a translational negative feedback loop: a systems analysis.

Russell Betney1, Eric de Silva, Christina Mertens

  • 1School of Medical Sciences, Institute of Medical Sciences, University of Aberdeen, Foresterhill, Aberdeen AB25 2ZD, United Kingdom.

RNA (New York, N.Y.)
|October 30, 2012
PubMed
Summary

Yeast release factor eRF1 (encoded by SUP45) has a feedback loop regulating stop codon readthrough. Mathematical modeling confirmed this loop dampens, but doesn't prevent, changes in eRF1 expression levels.

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Last Updated: May 17, 2026

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Published on: December 25, 2021

Area of Science:

  • Molecular Biology
  • Genetics
  • Systems Biology

Background:

  • The essential eukaryote release factor eRF1, encoded by yeast SUP45, recognizes stop codons during translation.
  • SUP45 nonsense alleles are viable due to feedback-regulated readthrough of premature termination codons, where reduced eRF1 promotes readthrough, driving partial eRF1 production.

Purpose of the Study:

  • To develop and validate a deterministic mathematical model of the eRF1 feedback loop.
  • To analyze the control precision and damping mechanisms of this translational negative feedback loop.

Main Methods:

  • Development of a deterministic mathematical model of the eRF1 feedback loop with increasing complexity.
  • Experimental validation using yeast strains with SUP45 nonsense alleles and SUQ5 tRNA, including plasmid-borne SUQ5 and induced sup45 mRNA expression.

Main Results:

  • Model predictions accurately matched experimental observations regarding stop codon readthrough levels in different yeast strains.
  • The model predicted and experiments confirmed that eRF1 feedback control resists, but does not completely prevent, imposed changes in eRF1 expression.
  • The autogenous sup45 control mechanism acts as a damping mechanism, only partially resisting changes in release factor expression.

Conclusions:

  • The validated mathematical model is a valuable tool for analyzing translational negative feedback loops.
  • The degree of feedback damping is proportional to eRF1 affinity for premature stop codons.
  • The SUP45 feedback loop demonstrates a damping mechanism rather than precise control of eRF1 expression.