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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.
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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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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.
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Updated: Feb 13, 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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GAIT: Gene expression Analysis for Interval Time.

Yoojoong Kim1, Yeong Seon Kang2, Junhee Seok1

  • 1School of Electrical Engineering, Korea University, Seoul, South Korea.

Bioinformatics (Oxford, England)
|March 7, 2018
PubMed
Summary
This summary is machine-generated.

We developed GAIT, a novel software tool for analyzing gene expression and interval times between two events. GAIT addresses challenges posed by censored data, enabling broader biomedical research applications.

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Area of Science:

  • Bioinformatics
  • Biostatistics
  • Genomics

Background:

  • Analyzing gene expression with interval times between two events is challenging due to censored data.
  • Conventional survival analysis methods are inadequate for handling multiple censored events.

Purpose of the Study:

  • To develop a software tool, GAIT, for association analysis of gene expression with interval time of two events.
  • To overcome limitations of traditional survival analysis in handling censored data.

Main Methods:

  • Leveraging advances in multivariate survival analysis for multiple censored events.
  • Developing the GAIT software tool.

Main Results:

  • GAIT's performance validated through simulation studies.
  • Demonstrated utility of GAIT in real data analysis.
  • Indicated broad applicability in biomedical research.

Conclusions:

  • GAIT provides a powerful solution for gene expression association studies with interval times.
  • The tool enhances the analysis of complex event data in biomedical research.
  • GAIT is available online for researchers.