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Related Experiment Video

Updated: Jul 8, 2026

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

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

Published on: October 15, 2021

Combining MALDI-FTMS and bioinformatics for rapid peptidomic comparisons.

Joshua J Schmidt¹, Sean McIlwain, David Page

¹School of Pharmacy, University of Wisconsin, Madison, Wisconsin 53705, USA.

Journal of Proteome Research

|January 22, 2008

Summary

Researchers developed a new bioinformatics method to analyze mass spectrometry data from crustacean neuropeptides. This approach successfully mapped over 110 neuropeptides across five species, advancing comparative peptidomics.

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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Published on: November 15, 2017

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Last Updated: Jul 8, 2026

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

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

Published on: October 15, 2021

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Published on: November 15, 2017

Area of Science:

Proteomics
Neuroscience
Bioinformatics

Background:

Large-scale mass spectral analyses generate vast datasets challenging high-throughput information extraction.
Advances in technology and methods for data collection and quality are crucial for proteomics research.

Purpose of the Study:

To develop and demonstrate a method for analyzing large mass spectral datasets from decapod crustacean nervous tissue.
To identify and compare neuropeptides across multiple crustacean species using advanced bioinformatics tools.

Main Methods:

High-performance liquid chromatography (HPLC) coupled with high-resolution matrix-assisted laser desorption/ionization Fourier transform mass spectrometry (MALDI-FTMS) was used for data acquisition.
An in-house developed software package processed data by deisotoping, compressing, calibrating, and matching peaks to known crustacean neuropeptides.
Bioinformatics tools, including hierarchical clustering, were employed for data analysis.

Main Results:

Over 110 neuropeptides belonging to 14 peptide families were successfully mapped in five different crustacean species.
The study demonstrated the effectiveness of MALDI-FTMS combined with bioinformatics for peptidome analysis.
An effective methodology for comparative peptidomics was established.

Conclusions:

MALDI-FTMS coupled with bioinformatics software provides a powerful approach for elucidating and comparing crustacean peptidomes.
The established methodology facilitates future comprehensive comparative peptidomics studies across diverse species.
This research deepens the understanding of the evolution and diversification of peptide families in crustaceans.