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Related Concept Videos

Structure of a Gene01:30

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A gene is the fundamental unit of heredity. Every individual has two copies of each gene, one inherited from each parent. Although most people contain the same genes, there is a small fraction that is slightly different amongst people. A gene with a small difference in its sequence of DNA bases forms different alleles, contributing to different phenotypes.
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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...
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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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The operon model represents a fundamental mechanism of gene regulation in prokaryotes, enabling coordinated expression of genes involved in related metabolic or functional pathways. Operons consist of structural genes, a promoter, and an operator, with transcription regulated by repressors, activators, and small effector molecules.Structure and Function of OperonsAn operon is a cluster of structural genes transcribed together under the control of a single promoter. The promoter region...
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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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Related Experiment Video

Updated: Mar 2, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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Network modelling of gene regulation.

Joshua W K Ho1, Michael A Charleston2,3

  • 1School of Information Technologies, The University of Sydney, Sydney, NSW, 2006, Australia. joshua@it.usyd.edu.au.

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Summary

Gene regulatory network (GRN) modeling is crucial for systems biology. This review clarifies GRN modeling aims and applications, surveying common methods for understanding complex biological systems.

Keywords:
BioinformaticsGene regulatory networkSystems biology

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Area of Science:

  • Systems Biology
  • Computational Biology
  • Bioinformatics

Background:

  • Gene regulatory network (GRN) modeling is a rapidly growing field.
  • Computational techniques for GRN inference and analysis are widely available.
  • There is a need for clarity regarding the goals and applications of GRN modeling in systems biology.

Purpose of the Study:

  • To provide a comprehensive overview of gene regulatory network modeling.
  • To clarify the fundamental concepts of systems biology and the role of network modeling.
  • To survey common network modeling paradigms and their practical applications in systems biology research.

Main Methods:

  • Literature review of existing GRN modeling techniques.
  • Discussion of fundamental systems biology concepts.
  • Survey of commonly used network modeling paradigms.

Main Results:

  • Identification of common confusion surrounding GRN modeling objectives.
  • Explanation of how GRN models serve as tools in systems biology.
  • Overview of various network modeling approaches and their utility.

Conclusions:

  • GRN modeling is a vital tool for understanding complex biological systems.
  • Clarifying the aims and methods of GRN modeling enhances its utility in systems biology.
  • The surveyed paradigms offer practical approaches for systems biology research.