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Related Concept Videos

What is Gene Expression?01:42

What is Gene Expression?

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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
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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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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 Expression

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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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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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Network Analysis of Gene Expression.

Roby Joehanes1

  • 1Hebrew SeniorLife, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA. RobyJoehanes@hsl.harvard.edu.

Methods in Molecular Biology (Clifton, N.J.)
|May 17, 2018
PubMed
Summary
This summary is machine-generated.

Understanding gene coexpression networks is vital for disease research. New computational methods allow network reconstruction from gene expression data, aiding in deciphering molecular mechanisms.

Keywords:
CoexpressionGenesMessenger RNA

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Area of Science:

  • Molecular Biology
  • Bioinformatics
  • Systems Biology

Background:

  • Gene expression is tightly regulated, forming complex coexpression networks.
  • Understanding these networks is key to deciphering disease mechanisms.
  • High-throughput gene expression data and computational power enable network reconstruction.

Purpose of the Study:

  • To provide an overview of methods for constructing gene coexpression networks.
  • To discuss practical considerations in network analysis.
  • To present an example of network reconstruction.

Main Methods:

  • Review of computational algorithms for gene coexpression network inference.
  • Discussion of data preprocessing and quality control for gene expression data.
  • Illustrative example of network construction using real-world data.

Main Results:

  • Gene coexpression network analysis offers insights into molecular pathways.
  • Methodological choices significantly impact network topology and interpretation.
  • Successful reconstruction of a gene coexpression network was demonstrated.

Conclusions:

  • Gene coexpression network analysis is a powerful tool for understanding biological systems.
  • Accurate network reconstruction requires careful consideration of methods and data.
  • This approach facilitates the identification of potential therapeutic targets.