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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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Updated: Jan 19, 2026

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

Principles of gene microarray data analysis.

Simone Mocellin¹, Carlo Riccardo Rossi

¹Clinica Chirurgica II, Dipartimento di Scienze Oncologiche e Chirurgiche, University of Padova, Via Giustiniani 2, Italy. mocellins@hotmail.com

Advances in Experimental Medicine and Biology

|February 3, 2007

Summary

This summary is machine-generated.

Gene microarray technology enables monitoring of gene expression for tumor development. Understanding microarray data analysis is crucial for researchers and clinicians to advance cancer therapy.

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Last Updated: Jan 19, 2026

Using Microarrays to Interrogate Microenvironmental Impact on Cellular Phenotypes in Cancer

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DNA Microarrays: Sample Quality Control, Array Hybridization and Scanning

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Global Gene Expression Analysis Using a Zebrafish Oligonucleotide Microarray Platform

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Published on: August 9, 2009

Area of Science:

Genomics
Molecular Biology
Bioinformatics

Background:

Gene expression profiling methods like CGH, SAGE, and microarrays, alongside human genome sequencing, facilitate the study of tumor development.
High-throughput technologies enable tracking gene expression changes over time, supporting a non-reductionist approach in biology.

Purpose of the Study:

To highlight the significance of gene microarray technology in cancer research.
To emphasize the importance of understanding microarray data analysis for researchers and clinicians.

Main Methods:

Gene microarray technology allows parallel quantification of thousands of genes from multiple samples.
It is user-friendly and does not necessitate large-scale DNA sequencing.

Main Results:

Gene microarray technology is increasingly adopted globally.
It holds potential to revolutionize cancer treatment strategies.

Conclusions:

Gene microarray technology offers a powerful tool for investigating tumor progression.
Knowledge of microarray data analysis is essential for clinical and research applications in oncology.