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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...

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Related Experiment Video

Updated: Jun 8, 2026

Kinase Inhibitor Screening In Self-assembled Human Protein Microarrays

Kinase Inhibitor Screening In Self-assembled Human Protein Microarrays

Published on: October 23, 2019

Two new ArrayTrack libraries for personalized biomedical research.

Joshua Xu¹, Carolyn Wise, Vijayalakshmi Varma

¹Z-Tech Corporation, ICF International company at NCTR, National Center for Toxicological Research, 3900 NCTR Rd, Jefferson, AR 72079, USA. Zhihua.xu@fda.hhs.gov

BMC Bioinformatics

|October 16, 2010

Summary

This summary is machine-generated.

New ArrayTrack libraries for single nucleotide polymorphism (SNP) and quantitative trait locus (QTL) data enhance personalized medicine research. These integrated resources aid in understanding genetic associations and their biological context.

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Area of Science:

Genomics
Bioinformatics
Systems Biology

Background:

High-throughput genotyping advances personalized medicine and nutrition research.
Genetic markers from association studies often explain limited phenotypic trait variation.
Validating candidate genes from association studies is crucial for personalized medicine.

Purpose of the Study:

To develop efficient data mining strategies and tools for understanding genetic association study findings.
To integrate single nucleotide polymorphism (SNP) and quantitative trait locus (QTL) data with other biological information.
To provide a platform for exploring relationships between genetic variations and biological molecules.

Main Methods:

Construction and integration of SNP and quantitative trait locus (QTL) libraries into ArrayTrack.
Incorporation of user-friendly interfaces and powerful search functionalities.
Linking SNP and QTL data with gene, protein, metabolite, and pathway libraries.

Main Results:

Development of comprehensive SNP (15 million human SNPs) and QTL libraries (mouse, rat, human).
ArrayTrack enables searching SNP and QTL data and their relationships to other biological molecules.
Demonstrated utility through two use cases, facilitating overlap analysis between genes and QTLs.

Conclusions:

ArrayTrack libraries offer comprehensive, cross-linked information on SNPs and QTLs.
Integration of domain-specific knowledge supports systems biology approaches.
Enhanced understanding of the genetic and biological context of genetic association study findings.