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Related Concept Videos

What is Gene Expression?01:42

What is Gene Expression?

194.7K
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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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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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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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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Related Experiment Video

Updated: Jan 21, 2026

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
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Gene Expression Microarray Technology: Some Applications in Lung Cancer Research.

Laura Breen1, Lorraine O'Driscoll2, Martin Clynes2

  • 1National Institute for Cellular Biotechnology, Dublin City University, Glasnevin, Dublin 9, Ireland laura.breen3@mail-dcu.ie.

Cancer Genomics & Proteomics
|August 10, 2019
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Summary

Gene expression microarrays enable simultaneous study of thousands of genes in cancer research. This technology aids biomarker discovery, diagnostics, and targeted therapies, particularly for lung cancer, advancing patient treatment.

Keywords:
Microarrayslung cancerreview

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Area of Science:

  • Genomics
  • Oncology
  • Biotechnology

Background:

  • Gene expression microarray technology allows simultaneous analysis of thousands of genes.
  • This high-throughput approach is valuable for studying complex diseases like cancer.

Purpose of the Study:

  • To review the applications of microarrays in cancer research.
  • To highlight advancements in microarray data interpretation for understanding cancer.
  • To focus on the impact of microarrays on lung cancer studies.

Main Methods:

  • Review of existing literature on microarray applications in cancer research.
  • Analysis of studies focusing on biomarker identification, diagnostics, and targeted therapy.
  • Examination of progress in microarray data analysis techniques.

Main Results:

  • Microarrays are instrumental in identifying cancer biomarkers.
  • The technology improves diagnostic capabilities for various cancers.
  • Microarray data aids in developing targeted cancer therapies.
  • Significant progress has been made in interpreting complex microarray datasets.

Conclusions:

  • Microarray technology significantly enhances the understanding of cancer causes and progression.
  • Advances in microarrays and data analysis promise improved patient treatment strategies.
  • The review emphasizes the pivotal role of microarrays in advancing lung cancer research.