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Related Concept Videos

Constitutive and Regulated Gene Expression01:27

Constitutive and Regulated Gene Expression

Gene expression in prokaryotes is governed by constitutive and regulated systems, allowing cells to balance the production of essential proteins with adaptive responses to environmental changes.Constitutive Gene ExpressionConstitutive, or housekeeping, genes are continuously expressed as they encode proteins vital for fundamental cellular processes. These include enzymes for glycolysis, ribosomal components for protein synthesis, and proteins involved in DNA replication. Their constant...
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Circadian Rhythms and Gene Regulation

The biological clock is involved in many aspects of regulating complex physiology in all animals. It was in 1935 when German zoologists, Hans Kalmus and Erwin Bünning, discovered the existence of circadian rhythm in Drosophila melanogaster. However, the internal molecular mechanisms behind the circadian clock remained a mystery until 1984, when Jeffrey C. Hall, Michael Rosbash, and Michael W. Young discovered the expression of the Per gene oscillating over a 24-hour cycle. In subsequent years,...
Circadian Rhythms and Gene Regulation02:19

Circadian Rhythms and Gene Regulation

The biological clock is involved in many aspects of regulating complex physiology in all animals. It was in 1935 when German zoologists, Hans Kalmus and Erwin Bünning, discovered the existence of circadian rhythm in Drosophila melanogaster. However, the internal molecular mechanisms behind the circadian clock remained a mystery until 1984, when Jeffrey C. Hall, Michael Rosbash, and Michael W. Young discovered the expression of the Per gene oscillating over a 24-hour cycle. In subsequent years,...
Diversity in Cell Signaling Responses01:22

Diversity in Cell Signaling Responses

The physiological function of a cell and cellular communication are outcomes of a range of extrinsic signals, intracellular signaling pathways, and cellular responses. No two cell types express the same repertoire of signaling components. Receptors are highly selective for their cognate ligands, but once activated, they can alter multiple cellular processes such as DNA transcription, protein synthesis, and metabolic activity. 
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Global regulatory systems in bacteria enable rapid and coordinated responses to environmental changes by integrating sensory inputs with gene expression, ensuring efficient adaptation to fluctuating conditions. Key global regulatory mechanisms include regulons, two-component systems, sigma factors, and secondary messengers.Regulons and Global RegulatorsA regulon is a collection of genes and operons controlled by a common global regulator. These regulators enable bacteria to prioritize resource...
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Updated: May 30, 2026

An Optogenetic Method to Control and Analyze Gene Expression Patterns in Cell-to-cell Interactions
07:59

An Optogenetic Method to Control and Analyze Gene Expression Patterns in Cell-to-cell Interactions

Published on: March 22, 2018

Exact time-dependent solutions for a self-regulating gene.

A F Ramos1, G C P Innocentini, J E M Hornos

  • 1Escola de Artes, Ciências e Humanidades, Universidade de São Paulo, São Paulo, SP, Brazil. alex.ramos@usp.br

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|July 30, 2011
PubMed
Summary
This summary is machine-generated.

This study presents the exact solution for a self-regulating gene model. The research reveals that gene expression control is completely integrable, yielding solutions in terms of confluent Heun functions.

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Area of Science:

  • * Mathematical Biology
  • * Computational Biology
  • * Biophysics

Background:

  • * Gene expression is a fundamental biological process.
  • * Self-regulation is crucial for controlling gene expression levels.
  • * Stochastic models are essential for understanding gene expression noise.

Purpose of the Study:

  • * To derive the exact time-dependent solution for a binary self-regulating gene model.
  • * To analyze the role of self-regulation in gene expression.
  • * To identify the mathematical functions describing the gene behavior.

Main Methods:

  • * Employing the generating function technique.
  • * Transforming master equations into partial differential equations.
  • * Demonstrating the model's integrability.

Main Results:

  • * The stochastic equations for the gene model are solved exactly.
  • * The model is shown to be totally integrable.
  • * Analytical solutions are identified as confluent Heun functions.

Conclusions:

  • * Self-regulation significantly impacts gene expression control.
  • * The microscopic model of gene regulation is completely integrable.
  • * Confluent Heun functions provide a complete description of the gene's behavior.