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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
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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Cell Specific Gene Expression01:58

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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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mRNA Stability and Gene Expression02:51

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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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ClusterGVis: An Advanced Visualization and Clustering Tool for Gene Expression Analysis.

Jun Zhang1,2, Hongyuan Li1,2, Wenjun Tao1,2

  • 1State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing 211198, China.

Genomics, Proteomics & Bioinformatics
|January 22, 2026
PubMed
Summary
This summary is machine-generated.

ClusterGVis is a new bioinformatics tool that simplifies gene expression analysis and visualization. It helps researchers identify biomarkers and understand gene function using clustering and heatmap features.

Keywords:
Bulk RNA sequencingFunctional annotationFuzzy c-means clusteringGene clustering visualizationSingle cell RNA sequencing

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Interpreting large-scale gene expression data from single-cell RNA sequencing (scRNA-seq) and bulk RNA sequencing (bulk RNA-seq) is crucial for understanding biological systems.
  • Effective analysis and visualization tools are essential for extracting meaningful insights from complex transcriptomic datasets.

Purpose of the Study:

  • To introduce ClusterGVis, an advanced bioinformatics software designed to streamline the analysis and visualization of gene expression data.
  • To provide researchers with a user-friendly platform for uncovering patterns and relationships within transcriptomic datasets.

Main Methods:

  • Utilizes fuzzy c-means and k-means clustering algorithms for transcriptomic data analysis.
  • Features integrated heatmap visualization for exploring co-expression networks and identifying differentially expressed genes.
  • Offers a user-friendly interface for simplified data interpretation.

Main Results:

  • Enables effective identification of patterns and relationships in complex gene expression profiles.
  • Facilitates intuitive exploration of co-expression networks and identification of differentially expressed genes.
  • Supports the identification of potential biomarkers and enhances understanding of gene function.

Conclusions:

  • ClusterGVis simplifies complex gene expression data analysis and visualization.
  • The software aids in biomarker discovery and elucidating gene regulatory mechanisms.
  • Publicly available resources, including tutorials and a Shiny App, enhance accessibility and usability.