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Related Concept Videos

What is Gene Expression?01:42

What is Gene Expression?

195.3K
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...
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What is Gene Expression?01:36

What is Gene Expression?

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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...
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Cell Specific Gene Expression01:58

Cell Specific Gene Expression

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Multicellular organisms contain a variety of structurally and functionally distinct cell types, but the DNA in all the cells originated from the same parent cells. The differences in the cells can be attributed to the differential gene expression. Liver cells, whose functions include detoxification of blood, production of bile to metabolize fats, and synthesis of proteins essential for metabolism, must express a specific set of genes to perform their functions. Gene expression also varies with...
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Cell Specific Gene Expression01:58

Cell Specific Gene Expression

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Chromatin Position Affects Gene Expression02:35

Chromatin Position Affects Gene Expression

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Chromatin is the massive complex of DNA and proteins packaged inside the nucleus. The complexity of chromatin folding and how it is packaged inside the nucleus greatly influences  access to genetic information. Generally, the nucleus' periphery is considered transcriptionally repressive, while the cell's interior is considered a transcriptionally active area. 
Topologically Associated Domains (TADs)
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mRNA Stability and Gene Expression02:51

mRNA Stability and Gene Expression

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The structure and stability of mRNA molecules regulates gene expression, as mRNAs are a key step in the pathway from gene to protein. In eukaryotes, the half-life of mRNA varies from a few minutes up to several days. mRNA stability is essential in growth and development. The absence of the proteins regulating its stability, such as tristetraprolin in mice, can cause systemic issues, including bone marrow overgrowth, inflammation, and autoimmunity.
Cis-acting Elements involved in mRNA stability
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Updated: Jan 27, 2026

Comprehensive Workflow for the Genome-wide Identification and Expression Meta-analysis of the ATL E3 Ubiquitin Ligase Gene Family in Grapevine
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NetworkAnalyst 3.0: a visual analytics platform for comprehensive gene expression profiling and meta-analysis.

Guangyan Zhou1, Othman Soufan1, Jessica Ewald2

  • 1Institute of Parasitology, McGill University, Montreal, Quebec, Canada.

Nucleic Acids Research
|April 2, 2019
PubMed
Summary
This summary is machine-generated.

NetworkAnalyst 3.0 offers enhanced bioinformatics tools for gene expression analysis. This updated platform supports systems-level data interpretation using diverse network types and advanced visualization, including VR.

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Area of Science:

  • Bioinformatics
  • Systems Biology
  • Genomics

Background:

  • Gene expression profiling requires advanced bioinformatics tools for data interpretation.
  • NetworkAnalyst was developed to integrate gene expression data with protein-protein interaction (PPI) networks.

Purpose of the Study:

  • To introduce NetworkAnalyst 3.0, a significantly updated version of the bioinformatics tool.
  • To enhance systems-level understanding of gene expression data through expanded network analysis capabilities.

Main Methods:

  • Gene expression profiling across 17 species.
  • Construction of various network types: PPI, gene regulatory, gene co-expression, toxicogenomics, and pharmacogenomics.
  • Data visualization in 2D, 3D, and Virtual Reality (VR).
  • Meta-analysis tools including interactive heatmaps, enrichment networks, Venn diagrams, and chord diagrams.
  • Project saving and resuming functionality.

Main Results:

  • Expanded species support for gene expression profiling.
  • Introduction of cell-type/tissue-specific networks and specialized networks for toxicogenomics and pharmacogenomics.
  • Advanced visualization options including VR.
  • Enhanced meta-analysis capabilities for comparative gene list analysis.
  • User-friendly project management features.

Conclusions:

  • NetworkAnalyst 3.0 provides a comprehensive and versatile platform for gene expression data analysis.
  • The updated tool supports diverse research needs from basic genomics to specialized toxicogenomics and pharmacogenomics.
  • Enhanced visualization and project management features improve user experience and data interpretation.