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Related Concept Videos

DNA Microarrays02:34

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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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Updated: May 9, 2026

Multilevel Microdissection and Functional-Structural Profiling of Human Renal Arterial Branches
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Microarray technology: basic methodology and application in clinical research for biomarker discovery in vascular

Nalini Raghavachari1

  • 1Genetics and Developmental Biology, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.

Methods in Molecular Biology (Clifton, N.J.)
|August 6, 2013
PubMed
Summary

Microarray technology enables simultaneous gene transcript quantitation for biomedical research. This chapter details methods to overcome challenges in applying this powerful tool for transcriptome analysis in clinical studies.

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Area of Science:

  • Molecular Biology
  • Genomics
  • Biomedical Research

Background:

  • Microarray technology allows simultaneous quantitation of thousands of gene transcripts.
  • It is crucial for understanding gene expression in normal versus diseased states.
  • Applications span lipoprotein and atherosclerosis research, biomarker discovery, and therapeutic agent testing.

Purpose of the Study:

  • To detail methodologies for successful microarray-based transcriptome analysis.
  • To address unique challenges in clinical microarray experiment design and analysis.
  • To provide solutions for issues in sample procurement, assay reliability, and multicenter studies.

Main Methods:

  • Utilizing DNA microarrays with known sequences for hybridization.
  • Employing reverse transcription and labeling of sample RNA for transcript detection.
  • Developing strategies to address sensitivity, specificity, and reproducibility in data.

Main Results:

  • Significant progress in biomedical disciplines through systemic gene change quantitation.
  • Discovery of diagnostic, prognostic, and predictive biomarkers.
  • Effective testing of potential therapeutic agents.

Conclusions:

  • Microarray technology is a vital tool for advancing biomedical research.
  • Addressing experimental design and data analysis challenges is key for clinical applications.
  • This chapter provides practical methodologies for robust transcriptome analysis across various sample types.