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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: Jun 10, 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

Increased selectivity, analytical precision, and throughput in targeted proteomics.

Reiko Kiyonami1, Alan Schoen, Amol Prakash

  • 1ThermoFisher Scientific, San Jose, California 95134, USA.

Molecular & Cellular Proteomics : MCP
|July 29, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces a new proteomics method for precise peptide quantification and identity confirmation. The technique enhances sensitivity and throughput for large-scale quantitative proteomic studies.

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Resolving Affinity Purified Protein Complexes by Blue Native PAGE and Protein Correlation Profiling
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Last Updated: Jun 10, 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

Resolving Affinity Purified Protein Complexes by Blue Native PAGE and Protein Correlation Profiling
09:35

Resolving Affinity Purified Protein Complexes by Blue Native PAGE and Protein Correlation Profiling

Published on: April 1, 2017

Area of Science:

  • Proteomics
  • Mass Spectrometry
  • Analytical Chemistry

Background:

  • Quantitative proteomics often relies on targeted analyses using selected reaction monitoring (SRM) on triple quadrupole instruments.
  • While SRM offers high selectivity and low detection limits, concurrent analysis of multiple peptides can reduce sensitivity due to limited dwell times and transitions.

Purpose of the Study:

  • To present a novel data acquisition paradigm for simultaneous peptide quantification and identity confirmation in targeted proteomics.
  • To improve sensitivity and throughput for large-scale quantitative proteomic experiments.

Main Methods:

  • A dual-mode selected reaction monitoring (SRM) approach was developed.
  • Primary transitions were monitored for quantification within a defined elution window.
  • Secondary transitions (6-8) were acquired in a data-dependent manner for identity confirmation via composite tandem mass spectra.

Main Results:

  • The technique achieved limits of detection down to tens of attomoles injected.
  • A throughput exceeding 6000 transitions was demonstrated within a single 60-minute experiment.
  • The method was successfully applied to analyze yeast lysate tryptic digests.

Conclusions:

  • The presented method enables simultaneous quantification and confirmation of targeted peptides, enhancing confidence in results.
  • This approach supports large-scale proteomic studies through improved sensitivity, throughput, and a streamlined workflow.
  • The technique integrates experimental design, data acquisition, and evaluation for efficient proteomic analysis.