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Related Experiment Video

Updated: Aug 7, 2025

Immunopeptidomics: Isolation of Mouse and Human MHC Class I- and II-Associated Peptides for Mass Spectrometry Analysis
09:32

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Immunolyser: A web-based computational pipeline for analysing and mining immunopeptidomic data.

Prithvi Raj Munday1, Joshua Fehring1, Jerico Revote2

  • 1Department of Biochemistry and Molecular Biology, Infection and Immunity Program, Biomedicine Discovery Institute, Monash University, Clayton, VIC, 3800, Australia.

Computational and Structural Biotechnology Journal
|March 9, 2023
PubMed
Summary

Immunopeptidomics data analysis is challenging due to complex datasets. Immunolyser is a new automated pipeline that simplifies the computational analysis of immunopeptidomic data, enhancing reproducibility.

Keywords:
Antigen processing and presentationImmunopeptidomicsPeptide analysis

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Area of Science:

  • Immunology
  • Bioinformatics
  • Computational Biology

Background:

  • Immunopeptidomics identifies peptides presented by Major Histocompatibility Complex (MHC) molecules, crucial for understanding immune responses.
  • Current analysis of large immunopeptidomics datasets lacks standardized pipelines, impacting reproducibility and depth.
  • Liquid Chromatography-Mass Spectrometry generates complex immunopeptidomics data routinely.

Purpose of the Study:

  • To introduce Immunolyser, an automated computational pipeline for immunopeptidomics data analysis.
  • To provide a user-friendly and reproducible solution for analyzing complex immunopeptidomics datasets.
  • To facilitate routine analyses including peptide length distribution, motif analysis, and MHC binding prediction.

Main Methods:

  • Development of an automated bioinformatics pipeline named Immunolyser.
  • Integration of routine immunopeptidomics analyses: peptide length distribution, motif analysis, sequence clustering, MHC binding affinity prediction, and source protein analysis.
  • Webserver implementation for user-friendly access and interactive analysis.

Main Results:

  • Immunolyser automates the analysis of immunopeptidomics data with minimal setup.
  • The pipeline integrates multiple essential analytical components for comprehensive data interpretation.
  • A webserver and open-source code are provided for accessibility and academic use.

Conclusions:

  • Immunolyser offers a standardized and reproducible approach to immunopeptidomics data analysis.
  • The pipeline simplifies complex computational tasks, making immunopeptidomics more accessible.
  • Immunolyser is expected to become a key tool for researchers in the field of immunopeptidomics.