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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...

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Related Experiment Video

Updated: May 12, 2026

Performing Custom MicroRNA Microarray Experiments
07:04

Performing Custom MicroRNA Microarray Experiments

Published on: October 28, 2011

Standardization of protocols in cDNA microarray analysis.

Vladimír Benes1, Martina Muckenthaler

  • 1European Molecular Biology Laboratory, Meyerhofstrasse 1 D-69117 Heidelberg, Germany. benes@embl-heidelberg.de

Drug Discovery Today
|April 12, 2013
PubMed
Summary
This summary is machine-generated.

Implementing exogenous control genes in cDNA microarray experiments is crucial for assessing variability and ensuring reliable gene expression measurements. Mandatory use of these controls, alongside robust analysis, enhances data quality and reproducibility.

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Last Updated: May 12, 2026

Performing Custom MicroRNA Microarray Experiments
07:04

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Published on: October 28, 2011

Single-cell Gene Expression Profiling Using FACS and qPCR with Internal Standards
10:50

Single-cell Gene Expression Profiling Using FACS and qPCR with Internal Standards

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DNA Microarrays: Sample Quality Control, Array Hybridization and Scanning
09:27

DNA Microarrays: Sample Quality Control, Array Hybridization and Scanning

Published on: March 15, 2011

Area of Science:

  • Molecular Biology
  • Genomics
  • Bioinformatics

Background:

  • cDNA microarray experiments are susceptible to systematic variations affecting gene expression measurements.
  • Variability can arise at multiple experimental stages, complicating data interpretation.
  • Standardized assessment methods are needed for reliable analysis across different sources.

Purpose of the Study:

  • To propose a universally applicable approach for evaluating cDNA microarray experiment parameters.
  • To enhance the reliability and interpretability of gene expression data.
  • To establish standards for the validation of cDNA microarray data.

Main Methods:

  • Utilizing exogenous control genes (spike-in and negative controls) to assess key parameters.
  • Evaluating input/output ratios, signal linearity, hybridization specificity, and array consistency.
  • Implementing normalization strategies using control sets.

Main Results:

  • Exogenous controls provide a standardized method to evaluate experimental parameters.
  • Control genes aid in assessing variability and ensuring signal linearity and specificity.
  • Consistent application of controls improves data comparability.

Conclusions:

  • The use of exogenous control genes should be mandatory for cDNA microarray experiments.
  • Sufficient experimental repeats and in-depth statistical analysis are essential.
  • Thorough data validation, including the use of controls, should be required for publication.