Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

DNA Microarrays

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...

You might also read

Related Articles

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

Sort by

Same author

Glycemic response trajectories on metformin monotherapy in real-world diabetes care.

medRxiv : the preprint server for health sciences·2026

Same author

Robust ranking of renewable energy alternatives handling uncertainty using novel hesitant bi-fuzzy MEREC-MOORA and Dombi aggregation approach.

Scientific reports·2026

Same author

The Impact of Social Vulnerability on Exercise Outcomes: A Longitudinal Study of Physical Function in Older People With HIV.

Journal of the International Association of Providers of AIDS Care·2026

Same author

Special issue: cell and gene causal inference in the design and analysis of gene therapy clinical trials.

Journal of biopharmaceutical statistics·2026

Same author

Mapping the last mile: Micro-stratification for sustained visceral leishmaniasis elimination in Bangladesh.

PLoS neglected tropical diseases·2026

Same author

The effects of high-intensity interval training versus continuous moderate-intensity exercise on body composition among older adults with HIV.

The journals of gerontology. Series A, Biological sciences and medical sciences·2026

Same journal

Correction to 'scSuperAnnotator: A platform for benchmarking comparison and visualizing automated cellular annotation methods for scRNA-seq data'.

Nucleic acids research·2026

Same journal

Correction to 'Differentiable partition function calculation for RNA'.

Nucleic acids research·2026

Same journal

Deployment of non-canonical splicing in tunicate genomes is mediated by divergent U2AF function and changing m6A modification in U1 and U6 snRNA.

Nucleic acids research·2026

Same journal

Bacillus subtilis DnaB forms multiple protein-protein interactions essential for DNA replication initiation.

Nucleic acids research·2026

Same journal

Multiple forms of protein-protein and DNA binding are exhibited by BrxC from the BREX phage restriction system.

Nucleic acids research·2026

Same journal

Biosynthesis of glycosylated 5-hydroxycytosine in the DNA of diverse viruses.

Nucleic acids research·2026

See all related articles

Search research articles

Related Experiment Video

Updated: May 25, 2026

Comprehensive Workflow for the Genome-wide Identification and Expression Meta-analysis of the ATL E3 Ubiquitin Ligase Gene Family in Grapevine

Comprehensive Workflow for the Genome-wide Identification and Expression Meta-analysis of the ATL E3 Ubiquitin Ligase Gene Family in Grapevine

Published on: December 22, 2017

Comprehensive literature review and statistical considerations for microarray meta-analysis.

George C Tseng¹, Debashis Ghosh, Eleanor Feingold

¹Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA. ctseng@pitt.edu

Nucleic Acids Research

|January 21, 2012

Summary

This summary is machine-generated.

This review summarizes 333 microarray meta-analysis studies, detailing their biological applications, databases, software, and statistical methods. It highlights the importance of analyzing large "-omics" datasets for biomedical discovery.

More Related Videos

Using Microarrays to Interrogate Microenvironmental Impact on Cellular Phenotypes in Cancer

Using Microarrays to Interrogate Microenvironmental Impact on Cellular Phenotypes in Cancer

Published on: May 21, 2019

The Terroir Concept Interpreted through Grape Berry Metabolomics and Transcriptomics

The Terroir Concept Interpreted through Grape Berry Metabolomics and Transcriptomics

Published on: October 5, 2016

Related Experiment Videos

Last Updated: May 25, 2026

Comprehensive Workflow for the Genome-wide Identification and Expression Meta-analysis of the ATL E3 Ubiquitin Ligase Gene Family in Grapevine

Comprehensive Workflow for the Genome-wide Identification and Expression Meta-analysis of the ATL E3 Ubiquitin Ligase Gene Family in Grapevine

Published on: December 22, 2017

Using Microarrays to Interrogate Microenvironmental Impact on Cellular Phenotypes in Cancer

Using Microarrays to Interrogate Microenvironmental Impact on Cellular Phenotypes in Cancer

Published on: May 21, 2019

The Terroir Concept Interpreted through Grape Berry Metabolomics and Transcriptomics

The Terroir Concept Interpreted through Grape Berry Metabolomics and Transcriptomics

Published on: October 5, 2016

Area of Science:

Genomics
Bioinformatics
Biostatistics

Background:

High-throughput technologies generate vast amounts of '-omics' data in biomedical research.
Effective data management and analysis are crucial for extracting biological insights from experimental data.
Meta-analysis, combining multiple studies, is increasingly used in genomic research.

Purpose of the Study:

To systematically review 333 microarray meta-analysis papers.
To summarize biological purposes, databases, software, and statistical procedures for microarray meta-analysis.
To discuss statistical considerations and open questions in the field.

Main Methods:

Systematic literature search on PubMed.
Manual collection of relevant genomic meta-analysis papers.
Categorization and summary of 333 microarray meta-analysis studies.

Main Results:

Identified 333 microarray meta-analysis papers for detailed review.
Detailed the biological applications, available databases, software tools, and statistical methodologies.
Provided a case study to illustrate statistical considerations.

Conclusions:

Microarray meta-analysis is a valuable tool for consolidating genomic research.
Standardized approaches to data management and statistical analysis are essential.
Further research is needed to address open questions in microarray meta-analysis.