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...

Genomics

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...

You might also read

Related Articles

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

Sort by

Same author

Glucocorticoid exposure during nutrient deprivation impairs recovery in postmitotic myotubes.

Scientific reports·2026

Same author

Real-world effectiveness and safety of acalabrutinib in chronic lymphocytic leukaemia: Multicentre experience.

British journal of haematology·2026

Same author

Clinical outcomes of the chemo-free approach in relapsed/refractory follicular lymphoma: A network meta-analysis.

British journal of haematology·2026

Same author

Insulin plant (Costus igneus) extract alleviates steatosis and adiposity in a murine MASLD model by modulating hepatic lipogenesis and the CD9-CFD immunoregulatory axis.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie·2026

Same author

Regional Standardization of CLL Management: Results of a Delphi Consensus Process.

European journal of haematology·2026

Same author

Guidelines on diagnosis and management of gastroesophageal reflux disease in infants, children and adolescents: a joint consensus from Italian pediatric societies (SIP and SIGENP) -Part II: management.

Italian journal of pediatrics·2026

Search research articles

Related Experiment Video

Updated: Oct 10, 2025

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

Integration of DNA Microarray with Clinical and Genomic Data.

Francesca Scionti¹, Mariamena Arbitrio², Daniele Caracciolo³

¹Institute for Biomedical Research and Innovation (IRIB), National Research Council (CNR), Messina, Italy.

Methods in Molecular Biology (Clifton, N.J.)

|December 13, 2021

Summary

DNA microarrays analyze gene expression and genomic variations for cancer research. Integrating this data with clinical information aids personalized cancer therapy selection.

Keywords:

DNA microarray Integration of omics data Personalized medicine

More Related Videos

DNA Microarrays: Sample Quality Control, Array Hybridization and Scanning

DNA Microarrays: Sample Quality Control, Array Hybridization and Scanning

Published on: March 15, 2011

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Published on: April 11, 2016

Related Experiment Videos

Last Updated: Oct 10, 2025

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

DNA Microarrays: Sample Quality Control, Array Hybridization and Scanning

DNA Microarrays: Sample Quality Control, Array Hybridization and Scanning

Published on: March 15, 2011

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Published on: April 11, 2016

Area of Science:

Genomics
Molecular Biology
Bioinformatics

Background:

DNA microarrays are crucial tools for understanding complex diseases like cancer.
They enable high-throughput analysis of gene expression, DNA copy number variations, and methylation patterns.

Purpose of the Study:

To provide an overview of DNA microarray technology.
To discuss the benefits and challenges of integrating microarray data with genomic and clinical data for personalized medicine.

Main Methods:

Review of DNA microarray applications in cancer research.
Discussion on data integration strategies.

Main Results:

DNA microarrays offer comprehensive genomic profiling.
Data integration is essential for advancing personalized cancer treatment.

Conclusions:

DNA microarray technology is vital for cancer research and personalized medicine.
Addressing data integration challenges is key to maximizing the potential of microarray data.