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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: May 2, 2026

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

High-throughput gene expression and mutation profiling: current methods and future perspectives.

¹Department of Gynecology and Obstetrics, Goethe University Frankfurt am Main, Germany.

Breast Care (Basel, Switzerland)

|February 20, 2014

Summary

Next-generation sequencing (NGS) has revolutionized cancer research, enabling large-scale genome analysis and uncovering cancer

Keywords:

Breast cancer, molecular subtypes Cancer genome Gene expression profiling Next-generation sequencing Tumor heterogeneity

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Last Updated: May 2, 2026

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

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Published on: April 11, 2016

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Area of Science:

Genomics
Cancer Research
Bioinformatics

Background:

High-throughput methods, including expression profiling, have transformed cancer research since the human genome's completion.
Genomic analysis led to breast cancer subtype classification and the development of genomic tests for patient stratification.

Purpose of the Study:

To highlight the impact of next-generation sequencing (NGS) on cancer genome research.
To discuss discoveries in cancer development, heterogeneity, and therapeutic applications driven by NGS.

Main Methods:

Application of high-throughput sequencing techniques, specifically next-generation sequencing (NGS).
Analysis of a large number of cancer genome sequences (over 6,000 samples between 2011-2013).

Main Results:

NGS technologies offer significant cost reduction for whole exome and whole genome sequencing.
Explosion in the number of publicly available cancer genome sequences.
Key discoveries regarding cancer development, heterogeneity, and therapeutic guidance.

Conclusions:

NGS has dramatically advanced basic cancer research and clinical applications.
The integration of NGS into clinical practice is an ongoing and emerging development.