Microarrays

Overview

Microarrays are high-throughput laboratory platforms that measure thousands of molecular targets in parallel using ordered arrays of immobilized probes on a solid surface. In the most common DNA microarray, each spot carries probes complementary to a specific transcript or genomic sequence; labeled sample nucleic acids hybridize to matching probes, and the resulting signal intensities quantify gene expression or detect sequence variation across many genes simultaneously. Beyond expression profiling, microarray formats support genotyping, copy-number analysis, comparative genomic hybridization, and detection of single-nucleotide polymorphisms, and analogous protein and tissue arrays extend the principle to other biomolecules. The technology has been widely used to characterize disease states, classify tumors and other conditions molecularly, screen for diagnostic markers, and support clinical and molecular diagnostics, including cancer subtyping and the study of defective pathways in neurological disease. Robust microarray studies require careful experimental design, normalization, background correction, and statistical testing with correction for multiple comparisons to control false discovery. Results are frequently validated with independent methods and integrated with genomic, proteomic, and bioinformatic resources to interpret biological meaning. Although newer sequencing-based approaches now complement or supersede arrays for many applications, microarrays remain a foundational, cost-effective tool for parallel measurement of gene expression and genetic variation in research and applied settings.

Research published in this journal

5 peer-reviewed articles, ranked by relevance. Each links to its DOI.

How this research is being cited

The 5 articles above have been cited 4 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.

• Microfluidic Device-Based Virus Detection and Quantification in Future Diagnostic Research: Lessons from the COVID-19 Pandemic
  2023 · Biosensors
• Microfluidic Device-Based Virus Detection and Quantification in Future Diagnostic Research: Lessons from the COVID-19 Pandemic
  2023 · Biosensors
• Addressing Noise and Estimating Uncertainty in Biomedical Data through the Exploration of Chemical Space
  2022 · International Journal of Molecular Sciences
• Addressing Noise and Estimating Uncertainty in Biomedical Data through the Exploration of Chemical Space
  Enrique J. deAndrés-Galiana et al. · 2022 · International Journal of Molecular Sciences

A sample of recent works citing this journal's research on Microarrays, linking to each citing work.

This page summarises published research for orientation; it is not medical or professional advice.

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