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Related Concept Videos

DNA Microarrays02:34

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...
What is Gene Expression?01:42

What is Gene Expression?

Overview
Gene expression is the process in which DNA directs the synthesis of functional products, that is, proteins. Cells can regulate gene expression at various stages. It allows organisms to generate different cell types and enables cells to adapt to internal and external factors.
Genetic Information Flows from DNA to RNA to Protein
A gene is a stretch of DNA that serves as the blueprint for functional RNAs and proteins. Since DNA is made up of nucleotides and proteins consist of amino...
What is Gene Expression?01:36

What is Gene Expression?

A gene is a stretch of DNA that serves as the blueprint for functional RNAs and proteins. Since DNA is comprised  of nucleotides and proteins are comprised of amino acids, a mediator is required to convert the information encoded in DNA into proteins. This mediator is the messenger RNA (mRNA). mRNA copies the blueprint from DNA by a process called transcription. In eukaryotes, transcription occurs in the nucleus by complementary base-pairing with the DNA template. The mRNA is then processed and...
What is Gene Expression?01:42

What is Gene Expression?

Overview
Gene expression is the process in which DNA directs the synthesis of functional products, that is, proteins. Cells can regulate gene expression at various stages. It allows organisms to generate different cell types and enables cells to adapt to internal and external factors.
Genetic Information Flows from DNA to RNA to Protein
A gene is a stretch of DNA that serves as the blueprint for functional RNAs and proteins. Since DNA is made up of nucleotides and proteins consist of amino...

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Using Microarrays to Interrogate Microenvironmental Impact on Cellular Phenotypes in Cancer
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Published on: May 21, 2019

Normalization of gene-expression microarray data.

Stefano Calza1, Yudi Pawitan

  • 1Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden.

Methods in Molecular Biology (Clifton, N.J.)
|September 14, 2010
PubMed
Summary
This summary is machine-generated.

Expression microarrays indirectly measure mRNA by quantifying labeled molecules. This study details essential preprocessing and normalization steps for accurate transcript expression analysis using common platforms.

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09:27

DNA Microarrays: Sample Quality Control, Array Hybridization and Scanning

Published on: March 15, 2011

Area of Science:

  • Bioinformatics
  • Molecular Biology
  • Genomics

Background:

  • Expression microarrays quantify messenger RNA (mRNA) levels indirectly.
  • This quantification relies on measuring color intensities from labeled mRNA bound to array surfaces.

Purpose of the Study:

  • To introduce fundamental concepts and methods for microarray data preprocessing and normalization.
  • To illustrate these techniques using data from three commercial microarray platforms.

Main Methods:

  • Explaining the indirect quantification of mRNA via labeled molecules.
  • Detailing the computational steps involved in translating pixel intensities to transcript expression.
  • Demonstrating methods with real-world data from commercial platforms.

Main Results:

  • Provides a foundational understanding of microarray data processing.
  • Illustrates practical application of normalization techniques.
  • Highlights considerations for commonly used commercial platforms.

Conclusions:

  • Preprocessing and normalization are critical for accurate microarray data interpretation.
  • Understanding these computational steps is essential for researchers using expression microarrays.
  • The chapter offers a practical guide for analyzing data from popular microarray systems.