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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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Use of an Influenza Antigen Microarray to Measure the Breadth of Serum Antibodies Across Virus Subtypes
08:52

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Published on: July 26, 2019

Quantifying antibody binding on protein microarrays using microarray nonlinear calibration.

Xiaobo Yu1, Garrick Wallstrom, Dewey Mitchell Magee

  • 1Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ, USA.

Biotechniques
|May 14, 2013
PubMed
Summary
This summary is machine-generated.

We developed a new microarray nonlinear calibration (MiNC) method to improve antibody quantification on protein microarrays. This method enhances assay performance, identifies more targets, and reduces variation for biomedical research.

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Last Updated: May 11, 2026

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Area of Science:

  • Biotechnology
  • Immunology
  • Analytical Chemistry

Background:

  • Protein microarrays are crucial for antibody-based assays.
  • Current quantification methods have limitations in dynamic range and assay variation.
  • Accurate antibody binding quantification is essential for biomarker discovery and diagnostics.

Purpose of the Study:

  • To introduce a novel microarray nonlinear calibration (MiNC) method.
  • To enhance the linear dynamic range and reduce assay variation in protein microarray analysis.
  • To demonstrate the utility of MiNC in identifying Mycobacterium tuberculosis antigen targets.

Main Methods:

  • Development of the microarray nonlinear calibration (MiNC) algorithm.
  • Application of MiNC to quantify antibody binding on protein microarrays.
  • Serological analysis of Mycobacterium tuberculosis models in guinea pigs.

Main Results:

  • MiNC significantly increased the linear dynamic range of antibody quantification.
  • MiNC reduced assay variation compared to traditional methods.
  • MiNC facilitated the identification of a larger number of putative antigen targets in tuberculosis models.

Conclusions:

  • MiNC offers improved performance for protein microarrays.
  • The method enhances the discovery of antibody biomarkers and aids in clinical diagnostics.
  • MiNC is a valuable tool for multiplex antibody assays in biomedical research.