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Related Concept Videos

Translational Regulation01:29

Translational Regulation

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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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Stringent Response in E. coli01:23

Stringent Response in E. coli

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Bacterial growth is closely tied to nutrient availability, with cells proliferating exponentially under favorable conditions and entering a stationary phase when resources become scarce. This transition is mediated by a regulatory mechanism known as the stringent response, which allows bacteria to adapt to nutrient deprivation by modulating gene expression and metabolic activity.During nutrient scarcity, intracellular amino acid levels decline. It results in the accumulation of uncharged tRNAs...
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Ribosomes01:27

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Ribosomes translate genetic information encoded by messenger RNA (mRNA) into proteins. Both prokaryotic and eukaryotic cells have ribosomes. Cells that synthesize large quantities of protein—such as secretory cells in the human pancreas—can contain millions of ribosomes.
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Ribosomes are composed of ribosomal RNA (rRNA) and proteins. In eukaryotes, rRNA is transcribed from genes in the nucleolus—a part of the nucleus that specializes in ribosome...
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Translation in Prokaryotes01:29

Translation in Prokaryotes

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Prokaryote translation is a complex, highly coordinated process that converts genetic information from mRNA into functional proteins. It involves three stages: initiation, elongation, and termination, each facilitated by specific molecular components.Initiation of TranslationThe process begins with the assembly of the ribosomal subunits and initiation factors on the mRNA. In bacteria, the 30S ribosomal subunit recognizes the Shine-Dalgarno sequence in the mRNA, a conserved region upstream of...
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Types of RNA01:23

Types of RNA

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Overview
Three main types of RNA are involved in protein synthesis: messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). These RNAs perform diverse functions and can be broadly classified as protein-coding or non-coding RNA. Non-coding RNAs play important roles in the regulation of gene expression in response to developmental and environmental changes. Non-coding RNAs in prokaryotes can be manipulated to develop more effective antibacterial drugs for human or animal use.
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Ribosome Profiling02:24

Ribosome Profiling

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Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
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Updated: Jul 12, 2025

Genome-wide Quantification of Translation in Budding Yeast by Ribosome Profiling
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Ribosome Abundance Control in Prokaryotes.

Jacob Shea1, Lisa Davis1, Bright Quaye2

  • 1Department of Mathematical Sciences, Montana State University, Bozeman, MT, 59717, USA.

Bulletin of Mathematical Biology
|October 20, 2023
PubMed
Summary
This summary is machine-generated.

This study models ribosome regulation in E. coli, revealing a positive feedback loop essential for cell growth. The model predicts continuous changes in ribosome abundance, not distinct states, impacting our understanding of prokaryotic cell dynamics.

Keywords:
Mathematical modelRibosomeRibosome abundance control

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Area of Science:

  • Microbiology
  • Systems Biology
  • Biophysics

Background:

  • Cell growth in unicellular organisms depends on precise protein synthesis.
  • Ribosomes are key components of protein synthesis and are themselves synthesized by ribosomes, creating a feedback loop.

Purpose of the Study:

  • To model the feedback mechanisms regulating ribosome abundance in E. coli.
  • To analyze the dynamic states and parameter dependencies of ribosome synthesis.

Main Methods:

  • Construction of a mathematical model for feedback regulation of ribosome abundance.
  • Analysis of model equilibrium states and bifurcations across 23 parameters.

Main Results:

  • The model demonstrates only two coexisting equilibrium states for ribosome abundance.
  • Analysis precludes hysteresis, indicating continuous changes in ribosome abundance with parameter variations.
  • States are linked by a transcritical bifurcation, with an analytic formula provided for parameter conditions.

Conclusions:

  • Ribosome abundance regulation in E. coli is characterized by continuous dynamics rather than distinct stable states.
  • The findings provide a framework for understanding cell growth control through protein synthesis regulation.