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

Microarray results: how accurate are they?

Ravi Kothapalli1, Sean J Yoder, Shrikant Mane

  • 1Hematologic Malignancies, Molecular Oncology and Clinical Investigations Programs, Department of Interdisciplinary Oncology Program, H, Lee Moffitt Cancer Center and Research Institute. kothapar@moffitt.usf.edu

BMC Bioinformatics
|August 27, 2002
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

Expanded antigen-specific donor regulatory T cells for GVHD prevention.

Blood·2026
Same author

Predicting immune-related thyroiditis using polygenic risk scores in patients with advanced melanoma.

Journal for immunotherapy of cancer·2026
Same author

Integrated Genomic and Epigenomic Analysis Reveals Epigenetic Plasticity in Disease Progression and Multidrug Resistance in Multiple Myeloma.

Cancer research·2026
Same author

Anti-PAD4 antibodies link autoimmunity to PAD4 with CTL-associated rheumatoid arthritis.

Annals of the rheumatic diseases·2026
Same author

Acid ceramidase inhibition enhances BCL-2 targeting in venetoclax-resistant acute myeloid leukemia.

Blood neoplasia·2026
Same author

Pharmacological blockade of rho kinase enhances venetoclax responses in translational models of acute myeloid leukemia.

Haematologica·2026

Microarray data analysis requires caution due to inconsistencies found between commercial systems. Evaluating DNA microarray performance revealed issues with sequence fidelity, expression variability, and probe specificity.

Area of Science:

  • Molecular Biology
  • Genomics
  • Biotechnology

Background:

  • DNA microarray technology enables high-throughput gene analysis.
  • Both cDNA and oligonucleotide microarray types are commercially available.
  • Research utilizing microarrays is rapidly expanding.

Purpose of the Study:

  • To critically evaluate microarray data from two commercial systems.
  • To identify and report inconsistencies in microarray data generation.

Main Methods:

  • Comparative analysis of data from two distinct commercial microarray platforms.
  • Assessment of sequence fidelity, expression variability, probe specificity, and fold-change calculations.

Main Results:

  • Significant inconsistencies were observed between the two microarray systems.

Related Experiment Videos

  • Identified issues include variable sequence fidelity, differential expression variability, and low probe specificity.
  • Lack of probe specificity for gene isoforms and discrepancies in fold-change calculations were also noted.

    • Conclusions:

    • Data generated from microarray analyses should be interpreted with caution.
    • Awareness of potential pitfalls is crucial for accurate gene expression studies.