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Related Concept Videos

Combinatorial Gene Control02:33

Combinatorial Gene Control

Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...
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...
What is Gene Expression?01:42

What is Gene Expression?

Overview
Gene expression is the process in which DNA directs the synthesis of functional products, that is, proteins. Cells can regulate gene expression at various stages. It allows organisms to generate different cell types and enables cells to adapt to internal and external factors.
Genetic Information Flows from DNA to RNA to Protein
A gene is a stretch of DNA that serves as the blueprint for functional RNAs and proteins. Since DNA is made up of nucleotides and proteins consist of amino...
What is Gene Expression?01:42

What is Gene Expression?

Overview
Gene expression is the process in which DNA directs the synthesis of functional products, that is, proteins. Cells can regulate gene expression at various stages. It allows organisms to generate different cell types and enables cells to adapt to internal and external factors.
Genetic Information Flows from DNA to RNA to Protein
A gene is a stretch of DNA that serves as the blueprint for functional RNAs and proteins. Since DNA is made up of nucleotides and proteins consist of amino...
What is Gene Expression?01:36

What is Gene Expression?

A gene is a stretch of DNA that serves as the blueprint for functional RNAs and proteins. Since DNA is comprised  of nucleotides and proteins are comprised of amino acids, a mediator is required to convert the information encoded in DNA into proteins. This mediator is the messenger RNA (mRNA). mRNA copies the blueprint from DNA by a process called transcription. In eukaryotes, transcription occurs in the nucleus by complementary base-pairing with the DNA template. The mRNA is then processed and...
Regulation of Expression at Multiple Steps01:23

Regulation of Expression at Multiple Steps

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...

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Related Experiment Video

Updated: Jun 13, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

Learning combinatorial transcriptional dynamics from gene expression data.

Manfred Opper1, Guido Sanguinetti

  • 1Department of Computer Science, Technische Universität Berlin D-10587 Berlin, Germany.

Bioinformatics (Oxford, England)
|May 7, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces a new computational method to analyze how multiple transcription factors (TFs) work together to control gene expression. The approach models TF activity as a dynamic process, enabling the reconstruction of complex regulatory interactions from gene expression data.

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Last Updated: Jun 13, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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Published on: December 7, 2021

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Area of Science:

  • Computational Biology
  • Systems Biology
  • Molecular Biology

Background:

  • Gene transcription is regulated by complex networks of transcription factors (TFs).
  • Measuring TF activity in vivo is challenging, limiting current models.
  • Existing models often simplify dynamics or ignore TF interactions, hindering comprehensive analysis.

Purpose of the Study:

  • To develop a novel computational framework for reverse engineering the dynamics of multiple TFs jointly regulating gene expression.
  • To overcome limitations of current models by incorporating complex TF interactions and dynamic behavior.

Main Methods:

  • A continuous-time, differential equation model representing transcriptional dynamics.
  • Treating TFs as latent on/off variables using a switching stochastic process (telegraph process).
  • Employing a variational Bayesian approach with a factorization assumption to infer TF activity and regulatory interactions from time-series gene expression data.

Main Results:

  • A novel framework capable of reconstructing TF activity profiles and the types of regulation (activation, repression, AND/OR gates).
  • Demonstrated model identifiability using a synthetic dataset.
  • Applied the model to predict transcriptional control mechanisms in yeast metabolism.

Conclusions:

  • The developed method provides a powerful tool for analyzing complex transcriptional regulatory networks.
  • This approach enables a deeper understanding of how multiple TFs coordinate gene expression in dynamic biological processes.