Quantitative Cell Proteomic Atlas: Pathway-Scale Targeted Mass Spectrometry for High-Resolution Functional Profiling of Cell Signaling

Cifani, Paolo, Kentsis, Alex (October 2022) Quantitative Cell Proteomic Atlas: Pathway-Scale Targeted Mass Spectrometry for High-Resolution Functional Profiling of Cell Signaling. Journal of Proteome Research, 21 (10). pp. 2535-2544. ISSN 1535-3893

URL: https://www.ncbi.nlm.nih.gov/pubmed/36154077
DOI: 10.1021/acs.jproteome.2c00223

Abstract

In spite of extensive studies of cellular signaling, many fundamental processes such as pathway integration, cross-talk, and feedback remain poorly understood. To enable integrated and quantitative measurements of cellular biochemical activities, we have developed the Quantitative Cell Proteomics Atlas (QCPA). QCPA consists of panels of targeted mass spectrometry assays to determine the abundance and stoichiometry of regulatory post-translational modifications of sentinel proteins from most known physiologic and pathogenic signaling pathways in human cells. QCPA currently profiles 1 913 peptides from 469 effectors of cell surface signaling, apoptosis, stress response, gene expression, quiescence, and proliferation. For each protein, QCPA includes triplets of isotopically labeled peptides covering known post-translational regulatory sites to determine their stoichiometries and unmodified protein regions to measure total protein abundance. The QCPA framework incorporates analytes to control for technical variability of sample preparation and mass spectrometric analysis, including TrypQuant, a synthetic substrate for accurate quantification of proteolysis efficiency for proteins containing chemically modified residues. The ability to precisely and accurately quantify most known signaling pathways should enable improved chemoproteomic approaches for the comprehensive analysis of cell signaling and clinical proteomics of diagnostic specimens. QCPA is openly available at https://qcpa.mskcc.org.

Item Type: Paper
Subjects: bioinformatics
diseases & disorders > cancer
bioinformatics > genomics and proteomics > design
bioinformatics > genomics and proteomics > genetics & nucleic acid processing
bioinformatics > genomics and proteomics
Investigative techniques and equipment
bioinformatics > genomics and proteomics > design > protein network design > peptide design
bioinformatics > genomics and proteomics > genetics & nucleic acid processing > protein structure, function, modification
bioinformatics > genomics and proteomics > design > protein network design
Investigative techniques and equipment > spectroscopy > mass spectrometry
organs, tissues, organelles, cell types and functions
bioinformatics > genomics and proteomics > genetics & nucleic acid processing > protein structure, function, modification > protein expression > post-translational modification
bioinformatics > genomics and proteomics > genetics & nucleic acid processing > protein structure, function, modification > protein expression
organs, tissues, organelles, cell types and functions > tissues types and functions > signal transduction
Investigative techniques and equipment > spectroscopy
organs, tissues, organelles, cell types and functions > tissues types and functions
CSHL Authors:
SWORD Depositor: CSHL Elements
Depositing User: CSHL Elements
Date: 7 October 2022
Date Deposited: 31 Jan 2023 15:46
Last Modified: 11 Jan 2024 19:24
PMCID: PMC10494574
URI: https://repository.cshl.edu/id/eprint/40809

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