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Related Experiment Video

Updated: Jun 6, 2026

Analysis of Histone Antibody Specificity with Peptide Microarrays
09:47

Analysis of Histone Antibody Specificity with Peptide Microarrays

Published on: August 1, 2017

Exploring antibody recognition of sequence space through random-sequence peptide microarrays.

Rebecca F Halperin1, Phillip Stafford, Stephen Albert Johnston

  • 1Center for Innovations in Medicine, Biodesign Institute, Arizona State University, PO Box 875901, Tempe AZ 85281, USA.

Molecular & Cellular Proteomics : MCP
|November 11, 2010
PubMed
Summary

Random peptide microarrays offer a high-throughput method for antibody epitope mapping. While direct epitope identification is challenging, subtle sequence motifs identified can aid in prioritizing candidates for further antigen discovery and antibody development.

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Area of Science:

  • Immunology
  • Biotechnology
  • Bioinformatics

Background:

  • Antibody epitope mapping is crucial for therapeutic and vaccine development.
  • Current methods like phage display have limitations in direct binding measurement.
  • Random peptide microarrays offer a high-throughput, direct binding assessment approach.

Purpose of the Study:

  • To evaluate the feasibility of random peptide microarrays for antibody epitope mapping.
  • To explore methods for predicting epitopes from microarray binding data.
  • To assess the utility of this platform for antigen identification.

Main Methods:

  • Utilized long (20-mer) random sequence peptides on microarrays.
  • Tested commercial monoclonal and polyclonal antibodies against the arrays.

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Peptide Scanning-assisted Identification of a Monoclonal Antibody-recognized Linear B-cell Epitope
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Peptide Scanning-assisted Identification of a Monoclonal Antibody-recognized Linear B-cell Epitope

Published on: March 24, 2017

Identification of Mouse and Human Antibody Repertoires by Next-Generation Sequencing
08:51

Identification of Mouse and Human Antibody Repertoires by Next-Generation Sequencing

Published on: March 15, 2019

Related Experiment Videos

Last Updated: Jun 6, 2026

Analysis of Histone Antibody Specificity with Peptide Microarrays
09:47

Analysis of Histone Antibody Specificity with Peptide Microarrays

Published on: August 1, 2017

Peptide Scanning-assisted Identification of a Monoclonal Antibody-recognized Linear B-cell Epitope
08:09

Peptide Scanning-assisted Identification of a Monoclonal Antibody-recognized Linear B-cell Epitope

Published on: March 24, 2017

Identification of Mouse and Human Antibody Repertoires by Next-Generation Sequencing
08:51

Identification of Mouse and Human Antibody Repertoires by Next-Generation Sequencing

Published on: March 15, 2019

  • Employed two computational methods to analyze binding data and predict epitopes.

    • Main Results:

    • Identified subtle sequence motifs among top-binding peptides, not exact epitopes.
    • These motifs showed some predictive ability for known epitopes.
    • A windowing alignment strategy performed well for monoclonal antibodies but less so for polyclonals.

    Conclusions:

    • Random peptide microarrays can serve as a valuable tool for prioritizing epitope mapping candidates.
    • The platform aids in antigen identification, despite limitations in direct epitope discovery.
    • Further refinement of analysis methods could enhance epitope prediction accuracy.