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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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Phosphopeptide Enrichment Coupled with Label-free Quantitative Mass Spectrometry to Investigate the Phosphoproteome in Prostate Cancer
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A Multipathway Phosphopeptide Standard for Rapid Phosphoproteomics Assay Development.

Brian C Searle1, Allis Chien2, Antonius Koller3

  • 1Department of Biomedical Informatics, The Ohio State University, Columbus, Ohio, USA; Pelotonia Institute for Immuno-Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio, USA.

Molecular & Cellular Proteomics : MCP
|September 1, 2023
PubMed
Summary

A new phosphopeptide standard mixture helps researchers standardize phosphoproteomics across labs. Using this standard allows for reproducible, harmonized data, improving the reliability of mass spectrometry-based signaling pathway analysis.

Keywords:
data-independent acquisitionmass spectrometryphosphopeptidephosphorylationproteomicsstable isotope labeltargeted

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Area of Science:

  • Proteomics
  • Biochemistry
  • Molecular Biology

Background:

  • Phosphopeptide analysis is crucial for understanding cell signaling.
  • Recent advances offer accessible enrichment strategies and free software for phosphoproteomics.
  • Standardization is needed for reproducible phosphoproteomic profiling across different laboratories.

Purpose of the Study:

  • To develop and characterize a multipathway phosphopeptide standard mixture.
  • To assess the utility of this standard for harmonizing phosphoproteomic data across multiple laboratories.
  • To enable rapid assay development for researchers studying signaling networks.

Main Methods:

  • A mixture of 131 heavy-labeled phosphopeptides was created, covering seven key signaling networks.
  • The standard was spiked into HeLa cell tryptic digests stimulated with growth factors.
  • Phosphoproteomic profiling was performed using data-independent acquisition in five independent laboratories.

Main Results:

  • Reporting measurements as ratios to the standard yielded reproducible and harmonized datasets across labs.
  • Intensity measurements showed lower consistency between laboratories, even after normalization.
  • The phosphopeptide standard acted as a quantitative yardstick, enabling cross-laboratory data comparison.

Conclusions:

  • Biologically relevant phosphopeptide standards are essential for reproducible phosphoproteomics.
  • Standardized quantitative measurements improve data consistency and enable larger-scale collaborative research.
  • This phosphopeptide mixture facilitates robust assay development and cross-laboratory validation.