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Related Concept Videos

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

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What is Gene Expression?01:42

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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

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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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Chromatin Position Affects Gene Expression02:35

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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. 
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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: Feb 8, 2026

Using an Automated Cell Counter to Simplify Gene Expression Studies: siRNA Knockdown of IL-4 Dependent Gene Expression in Namalwa Cells
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Developments in toxicogenomics: understanding and predicting compound-induced toxicity from gene expression data.

Benjamin Alexander-Dann1, Lavinia Lorena Pruteanu, Erin Oerton

  • 1University of Cambridge, Centre for Molecular Informatics, Department of Chemistry, Lensfield Road, Cambridge CB2 1EW, UK. dm729@cam.ac.uk ab454@cam.ac.uk.

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This summary is machine-generated.

Toxicogenomics uses

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Area of Science:

  • Toxicogenomics
  • Systems Biology
  • Computational Biology

Background:

  • Increasing availability of toxicological and omics data, especially gene expression.
  • Development of advanced computational methods for analyzing complex biological data.

Purpose of the Study:

  • Review recent advancements in analyzing RNA-Seq and microarray data for toxicogenomics.
  • Highlight applications of toxicogenomics data in understanding and predicting compound toxicity.
  • Discuss emerging technologies and future directions in the field.

Main Methods:

  • Analysis of differentially expressed genes and pathway enrichment.
  • Signature matching approaches for toxicity prediction.
  • Utilizing interaction and co-expression networks for systems-level analysis.

Main Results:

  • Summarized progress in RNA-Seq and microarray data analysis techniques.
  • Demonstrated applications of toxicogenomics in identifying toxic compounds.
  • Identified key computational methods for toxicity assessment.

Conclusions:

  • Toxicogenomics offers powerful tools for understanding compound toxicity at a systems level.
  • Integration of advanced methods and new technologies will enhance predictive toxicology.
  • Future approaches aim to reduce reliance on animal testing through in silico models.