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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: Jun 15, 2026

Probing High-density Functional Protein Microarrays to Detect Protein-protein Interactions
08:07

Probing High-density Functional Protein Microarrays to Detect Protein-protein Interactions

Published on: August 2, 2015

An internal calibration method for protein-array studies.

Don Simone Daly1, Kevin K Anderson, Shannon L Seurynck-Servoss

  • 1Pacific Northwest National Laboratory, USA. ds.daly@pnl.gov

Statistical Applications in Genetics and Molecular Biology
|March 4, 2010
PubMed
Summary
This summary is machine-generated.

Internal calibration reduces noise in protein-array studies, improving accuracy. This method enhances protein concentration predictions and identifies process improvements for reliable biomarker discovery.

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Last Updated: Jun 15, 2026

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Area of Science:

  • Biotechnology
  • Proteomics
  • Bioinformatics

Background:

  • Protein-array studies are susceptible to nuisance factors that introduce variation.
  • This variation reduces the accuracy and precision of protein concentration predictions.
  • Nuisance factors can be mitigated through experimental design and statistical correction.

Purpose of the Study:

  • To introduce a method for reducing nuisance effects in protein-array studies.
  • To enhance the accuracy and precision of protein concentration measurements.
  • To improve the reliability of biomarker discovery using protein arrays.

Main Methods:

  • Incorporation of a non-interfering internal calibration into the study design.
  • Complementary analysis of variance (ANOVA) for nuisance effect estimation and subtraction.
  • Application of chip-level internal calibration in a biomarker discovery study.

Main Results:

  • Reduced variability in sample intensity estimates (16%–92%, median 58%).
  • Decreased confidence interval widths (8%–70%, median 35%).
  • Identification of processing nuisance trends related to spot print order and chip location.

Conclusions:

  • Non-interfering internal calibration significantly increases accuracy and precision in protein-array studies.
  • Calibration diagnostics provide insights into study quality and suggest process refinements.
  • The internal calibration method is applicable to various targeted array-based studies beyond protein arrays.