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Related Concept Videos

Proteomics01:33

Proteomics

8.5K
A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
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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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Related Experiment Video

Updated: Oct 20, 2025

Sample Preparation and Relative Quantitation using Reductive Methylation of Amines for Peptidomics Studies
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Sample Preparation and Relative Quantitation using Reductive Methylation of Amines for Peptidomics Studies

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Peptidomics and proteogenomics: background, challenges and future needs.

Rui Vitorino1,2,3, Manisha Choudhury4, Sofia Guedes3

  • 1Faculdade de Medicina da Universidade do Porto, Porto, Portugal.

Expert Review of Proteomics
|September 14, 2021
PubMed
Summary

Peptidomics and proteogenomics analyze peptides and proteins to understand gene mutations and disease. These post-genomic technologies aid in diagnostics, prognostics, and biomarker discovery for better clinical applications.

Keywords:
Peptidomicsbig databioinformaticsbiomarkersproteogenomics

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Area of Science:

  • Genomics and Post-Genomic Technologies
  • Biomarker Discovery
  • Disease Pathogenesis

Background:

  • Genomic data and high-throughput sequencing advance disease diagnostics, prognostics, and drug development.
  • Post-genomic technologies like peptidomics and proteogenomics study peptides and proteins/transcripts/genes simultaneously.
  • These methods generate vast data on peptides linked to gene mutations and genome remodeling.

Purpose of the Study:

  • To review techniques for peptidomic and proteogenomic analyses.
  • To explain bioinformatics workflows for differential peptide/protein expression analysis.
  • To highlight the role of these technologies in disease pathways, cancer research, and biomarker discovery.

Main Methods:

  • Literature search of the PubMed database.
  • Review of various peptidomic and proteogenomic analytical techniques.
  • Explanation of bioinformatics workflows for data analysis.

Main Results:

  • Identification of techniques for analyzing peptide and protein data.
  • Elucidation of bioinformatics approaches for understanding disease-related molecular changes.
  • Demonstration of applications in cancer research and biomarker discovery using biofluids.

Conclusions:

  • Peptidomics and proteogenomics offer powerful tools for disease research.
  • Bioinformatics is crucial for interpreting the large datasets generated.
  • Overcoming current limitations is necessary for effective clinical translation.