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Related Concept Videos

Peptide Identification Using Tandem Mass Spectrometry01:33

Peptide Identification Using Tandem Mass Spectrometry

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Tandem mass spectrometry, also known as MS/MS or MS2, is an analytical technique that employs two mass analyzers. Essentially it is a series of mass spectrometers that helps isolate a particular biomolecule and then helps study its chemical properties.
This technique helps gather information regarding the protein from which the peptide was obtained and to study the peptides’ amino acid sequence. Identifying peptides from a complex mixture is an important component of the growing field of...
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A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes
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Peptigram: A Web-Based Application for Peptidomics Data Visualization.

Jean Manguy1, Peter Jehl1, Eugène T Dillon1

  • 1Food for Health Ireland, ‡UCD Conway Institute of Biomolecular and Biomedical Research, §School of Medicine, ∥School of Biomolecular and Biomedical Science, University College Dublin , Belfield, Dublin 4, Ireland.

Journal of Proteome Research
|December 21, 2016
PubMed
Summary
This summary is machine-generated.

Peptigram is a new web tool for visualizing and comparing peptides identified by tandem mass spectrometry (MS/MS). It aids in analyzing complex peptidomics data by mapping peptide distributions to parent proteins for rapid sample comparison.

Keywords:
data visualizationmass spectrometrypeptidespeptidomicsproteolysisproteomicssample comparison

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Area of Science:

  • Biochemistry
  • Bioinformatics
  • Proteomics

Background:

  • Tandem mass spectrometry (MS/MS) is crucial for protein identification and is increasingly used in peptidomics.
  • Analyzing MS/MS data for peptides requires robust and user-friendly methods for biological insights.
  • Peptidomics research necessitates effective tools for data inspection and comparison.

Purpose of the Study:

  • To introduce Peptigram, a novel web-based tool for visualizing and comparing MS/MS-identified peptides.
  • To provide a comprehensive resource for peptide discovery by integrating external database information and analysis tools.
  • To facilitate rapid comparison of peptide coverage and abundance across multiple samples.

Main Methods:

  • Peptigram offers dual-level visualization: protein and peptide.
  • It maps detected peptides to their parent proteins for clear representation.
  • The tool integrates external sequence features and links to other peptide analysis utilities.

Main Results:

  • Peptigram enables simultaneous visualization and comparison of peptide distributions across samples.
  • It facilitates rapid assessment of peptide coverage and abundance.
  • Demonstrated utility using a dataset of milk hydrolysates.

Conclusions:

  • Peptigram is a valuable and accessible resource for peptidomics research.
  • The tool enhances the analysis of MS/MS data, aiding biological discovery.
  • Freely available as a web application for academic use.