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Related Concept Videos

Peptide Identification Using Tandem Mass Spectrometry01:33

Peptide Identification Using Tandem Mass Spectrometry

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...
Proteomics01:33

Proteomics

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 proteomics...

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Related Experiment Video

Updated: May 26, 2026

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
10:37

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

Published on: November 15, 2017

Mass spectrometry-based proteomics: qualitative identification to activity-based protein profiling.

Job D Cardoza1, Jignesh R Parikh, Scott B Ficarro

  • 1Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.

Wiley Interdisciplinary Reviews. Systems Biology and Medicine
|January 11, 2012
PubMed
Summary

Mass spectrometry is key for proteome characterization. Enrichment methods improve detection of low-abundance proteins, aiding biomarker and pathway discovery for disease diagnosis and treatment.

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Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples
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Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples

Published on: November 13, 2021

Related Experiment Videos

Last Updated: May 26, 2026

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
10:37

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

Published on: November 15, 2017

Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples
14:51

Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples

Published on: November 13, 2021

Area of Science:

  • Biochemistry
  • Proteomics
  • Bioinformatics

Background:

  • Mass spectrometry (MS) is the primary technique for characterizing proteomes, including protein complexes and total protein expression.
  • While qualitative analysis is established, quantitative metrics in MS-based proteomics are still evolving.
  • Computational frameworks aid in interpreting MS data within biological contexts like gene, pathway, or network analysis.

Purpose of the Study:

  • To highlight the advancements and challenges in mass spectrometry-based proteomics.
  • To discuss the role of protein enrichment strategies in overcoming limitations.
  • To emphasize the potential of proteomics in identifying disease biomarkers and therapeutic pathways.

Main Methods:

  • Utilizing mass spectrometry (MS/MS spectra) for qualitative sequence assignment.
  • Employing computational frameworks for gene-, pathway-, and network-oriented analysis of proteomic data.
  • Implementing protein enrichment techniques to enhance the detection of specific protein classes, such as enzymes.

Main Results:

  • Proteomics studies can now analyze complex protein mixtures and large-scale protein expression.
  • Despite progress, the wide dynamic range of protein expression remains a challenge for comprehensive analysis.
  • Enrichment methods effectively enable the characterization of low-abundance proteins, including catalytically active ones.

Conclusions:

  • Mass spectrometry is a powerful tool for proteome characterization, offering insights into protein complexes and expression levels.
  • Overcoming the dynamic range challenge through enrichment strategies is crucial for in-depth proteomic analysis.
  • The integration of MS data with computational tools and enrichment techniques facilitates the discovery of disease-relevant biomarkers and pathways.