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Related Concept Videos

Tandem Mass Spectrometry01:21

Tandem Mass Spectrometry

Tandem mass spectrometry is a technique that uses multiple mass analyzers in series to obtain a higher selectivity and reduce chemical noise during analyte detection. Instruments with multiple analyzers separated by an interaction cell enable secondary fragmentation and selected study of the fragment ions.Secondary fragmentations occur in the interaction cell and can be induced by various factors. Fragmentation induced by collision with inert gases, such as N2, Ar, He, etc., is called...
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...

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Related Experiment Video

Updated: May 13, 2026

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

Published on: November 15, 2017

Neutron-encoded mass signatures for multiplexed proteome quantification.

Alexander S Hebert1, Anna E Merrill, Derek J Bailey

  • 1Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA.

Nature Methods
|February 26, 2013
PubMed
Summary

Neutron encoding is a novel protein quantification method using stable isotope mass differences. This technique enables highly multiplexed proteome analysis with exceptional accuracy and dynamic range.

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Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples
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Last Updated: May 13, 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
  • Analytical Chemistry
  • Proteomics

Background:

  • Accurate protein quantification is crucial for understanding biological processes.
  • Existing methods face limitations in multiplexing, dynamic range, and accuracy.

Purpose of the Study:

  • To introduce and validate a novel protein quantification technique named neutron encoding.
  • To demonstrate the utility of neutron encoding for high-resolution proteome analysis.

Main Methods:

  • Neutron encoding utilizes subtle mass differences in stable isotopes, arising from nuclear binding energy variations.
  • These mass differences are synthetically encoded into amino acids.
  • Metabolic labeling incorporates these modified amino acids into proteins in yeast and mouse models.
  • High mass resolution mass spectrometry (>200,000) is employed to detect isotopologue-embedded peptide signals.

Main Results:

  • The method successfully quantifies proteins by detecting unique peptide signals.
  • High mass resolution mass spectrometry enables precise identification and quantification of labeled peptides.
  • Demonstrated feasibility in both yeast and mouse protein samples.

Conclusions:

  • Neutron encoding offers a powerful new approach for protein quantification.
  • The method promises highly multiplexed proteome analysis with superior dynamic range and accuracy.
  • This technique has the potential to advance various fields, including biomarker discovery and systems biology.