Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Analysis of gene expression using cDNA microarrays.

Marcel Kaul1, Ludwig Eichinger

  • 1Center for Biochemistry, University of Cologne, Germany.

Methods in Molecular Biology (Clifton, N.J.)
|September 8, 2006
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

In memoriam - Angelika A. Noegel.

Journal of cell science·2025
Same author

Evolution of microRNAs in Amoebozoa and implications for the origin of multicellularity.

Nucleic acids research·2024
Same author

Model Organisms to Study Autophagy.

Cells·2023
Same author

Proteasomes of Autophagy-Deficient Cells Exhibit Alterations in Regulatory Proteins and a Marked Reduction in Activity.

Cells·2023
Same author

Clinorotation inhibits myotube formation by fluid motion, not by simulated microgravity.

European journal of cell biology·2023
Same author

Domain Organization of the UBX Domain Containing Protein 9 and Analysis of Its Interactions With the Homohexameric AAA + ATPase p97 (Valosin-Containing Protein).

Frontiers in cell and developmental biology·2021
Same journal

Nanotechnology-Stem Cell Strategies in 3D Glioblastoma Organoid: Targeting Glioma Stem Cells Within a Complex Tumor Microenvironment.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Mapping the 3D Chromosome Organization of a Biosynthetic Gene Cluster by Capture Hi-C (CHi-C).

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Mapping the 3D Chromosome Organization of Streptomyces by Hi-C.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

CUT&Tag Epigenomic Profiling of Biosynthetic Gene Clusters in Arabidopsis thaliana.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Rhizobium rhizogenes-Mediated Hairy Root Transformation Protocol for Lotus japonicus and Other Legumes.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Characterization of Bioactive Saponins from Sea Cucumbers.

Methods in molecular biology (Clifton, N.J.)·2026
See all related articles

DNA microarrays enable large-scale gene transcription analysis by comparing gene expression patterns between samples. This technology aids in understanding genetic networks and identifying differentially expressed genes in various conditions.

Area of Science:

  • Molecular Biology
  • Genomics
  • Bioinformatics

Background:

  • DNA microarrays are essential tools for large-scale gene transcription analysis.
  • They allow investigation of gene expression patterns across entire genomes.
  • Understanding gene expression is crucial for deciphering genetic regulatory networks.

Purpose of the Study:

  • To analyze gene transcription on a large scale.
  • To identify genes that are differentially expressed in various cellular contexts.
  • To understand the architecture of genetic regulatory networks.

Main Methods:

  • Utilizing DNA, cDNA, or oligonucleotide probes on an array.
  • Labeling messenger RNA (mRNA) from different sources with fluorescent dyes.
  • Hybridizing labeled mRNA to the array, followed by scanning and intensity comparison.

Related Experiment Videos

  • Analyzing data using bioinformatics tools like R and Significance Analysis of Microarrays (SAM).
  • Main Results:

    • Measurement of transcript level ratios for each gene on the array.
    • Identification of significantly regulated genes.
    • Insights into differential gene expression during cellular programs, in tumors, or after treatments.

    Conclusions:

    • DNA microarrays are powerful tools for comprehensive gene expression profiling.
    • This technology facilitates the discovery of key genes and regulatory mechanisms.
    • Bioinformatic analysis is critical for interpreting microarray data and identifying significant findings.