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Related Concept Videos

Cis-regulatory Sequences02:02

Cis-regulatory Sequences

Cis-regulatory sequences are short fragments of non-coding DNA that are present on the same chromosomes as the genes that they regulate. These fragments serve as binding sites for transcriptional regulators, proteins that are responsible for controlling gene transcription and differential gene expression across cell types in eukaryotes. Cis-regulatory sequences can be close to the gene of interest or thousands of bases away in the DNA sequence; however, those sequences that are further away are...
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...
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...
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...
Regulation of Expression Occurs at Multiple Steps02:24

Regulation of Expression Occurs at Multiple Steps

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.
Transcription results in the generation of precursor (pre-mRNA) that consists of both exons and introns, which needs further processing before being translated to a...
Regulation of Expression Occurs at Multiple Steps02:24

Regulation of Expression Occurs at Multiple Steps

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.
Transcription results in the generation of precursor (pre-mRNA) that consists of both exons and introns, which needs further processing before being translated to a...

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Related Experiment Video

Updated: May 22, 2026

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

Published on: December 7, 2021

Using eQTLs to reconstruct gene regulatory networks.

Lin S Chen1

  • 1Department of Health Studies, The University of Chicago, Chicago, IL, USA. lchen@health.bsd.uchicago.edu

Methods in Molecular Biology (Clifton, N.J.)
|May 9, 2012
PubMed
Summary
This summary is machine-generated.

This study explores reconstructing gene regulatory networks using genetic crosses and offspring gene expression/genotype data. It introduces Mendelian randomization to infer causal gene relationships, highlighting challenges with hidden variables.

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Area of Science:

  • Systems Biology
  • Genetics
  • Bioinformatics

Background:

  • Gene regulatory network (GRN) inference is crucial for understanding cellular mechanisms.
  • Traditional methods using only gene expression data struggle with inferring causality.
  • New experimental designs combine genetic crosses with genome-wide expression and genotype data.

Purpose of the Study:

  • To discuss methods for reconstructing gene regulatory networks from genetic cross data.
  • To highlight the advantages of using genetically randomized genotypes (eQTLs) for causal inference.
  • To address challenges in GRN inference, particularly the impact of hidden variables.

Main Methods:

  • Review of existing gene network construction methods from expression data alone.
  • Introduction and application of Mendelian randomization principles using genotype data from genetic crosses.
  • Development and detailed description of novel methods leveraging expression quantitative trait loci (eQTL) information.

Main Results:

  • Demonstration of how eQTL data aids in inferring directed gene regulatory relationships.
  • Comparison of the strengths and weaknesses of various eQTL-based GRN inference methods.
  • Identification of hidden variable modeling as a key challenge requiring further research.

Conclusions:

  • Genetic cross data combined with eQTL analysis offers a powerful approach for causal GRN inference.
  • Existing methods provide a foundation, but challenges remain in accounting for unobserved factors.
  • Future research should focus on advanced statistical models to address hidden confounders in GRN reconstruction.