Volume 16, Issue 15-16
Research Article

Targeted proteomics coming of age – SRM, PRM and DIA performance evaluated from a core facility perspective

Tobias Kockmann

Corresponding Author

Functional Genomics Center Zurich, ETH Zurich/University of Zurich, Winterthurerstr, Zurich, Switzerland

Contributed equally.

Correspondence: Dr. Tobias Kockmann, Functional Genomics Center Zurich, ETH Zurich/University of Zurich, Winterthurerstr. 190, 8057 Zurich, Switzerland

E‐mail: tobias.kockmann@fgcz.ethz.ch

Search for more papers by this author
Christian Trachsel

Functional Genomics Center Zurich, ETH Zurich/University of Zurich, Winterthurerstr, Zurich, Switzerland

Contributed equally.

Additional corresponding authors: Christian Trachsel E‐mail: christian.trachsel@fgcz.ethz.ch and Christian Panse E‐mail: cp@fgcz.ethz.ch

Search for more papers by this author
Christian Panse

Functional Genomics Center Zurich, ETH Zurich/University of Zurich, Winterthurerstr, Zurich, Switzerland

Contributed equally.

Additional corresponding authors: Christian Trachsel E‐mail: christian.trachsel@fgcz.ethz.ch and Christian Panse E‐mail: cp@fgcz.ethz.ch

Search for more papers by this author
Asa Wahlander

AstraZeneca Nucleotide Bioanalysis, Drug Safety and Metabolism, Innovative Medicines Mölndal, Sweden

Search for more papers by this author
Nathalie Selevsek

Functional Genomics Center Zurich, ETH Zurich/University of Zurich, Winterthurerstr, Zurich, Switzerland

Search for more papers by this author
Jonas Grossmann

Functional Genomics Center Zurich, ETH Zurich/University of Zurich, Winterthurerstr, Zurich, Switzerland

Search for more papers by this author
Witold E. Wolski

Functional Genomics Center Zurich, ETH Zurich/University of Zurich, Winterthurerstr, Zurich, Switzerland

Search for more papers by this author
Ralph Schlapbach

Functional Genomics Center Zurich, ETH Zurich/University of Zurich, Winterthurerstr, Zurich, Switzerland

Search for more papers by this author
First published: 30 April 2016
Citations: 19

Additional corresponding authors: Christian Trachsel E‐mail: christian.trachsel@fgcz.ethz.ch and Christian Panse E‐mail: cp@fgcz.ethz.ch

Abstract

Quantitative mass spectrometry is a rapidly evolving methodology applied in a large number of omics‐type research projects. During the past years, new designs of mass spectrometers have been developed and launched as commercial systems while in parallel new data acquisition schemes and data analysis paradigms have been introduced. Core facilities provide access to such technologies, but also actively support the researchers in finding and applying the best‐suited analytical approach. In order to implement a solid fundament for this decision making process, core facilities need to constantly compare and benchmark the various approaches. In this article we compare the quantitative accuracy and precision of current state of the art targeted proteomics approaches single reaction monitoring (SRM), parallel reaction monitoring (PRM) and data independent acquisition (DIA) across multiple liquid chromatography mass spectrometry (LC‐MS) platforms, using a readily available commercial standard sample. All workflows are able to reproducibly generate accurate quantitative data. However, SRM and PRM workflows show higher accuracy and precision compared to DIA approaches, especially when analyzing low concentrated analytes.

Number of times cited according to CrossRef: 19

  • Quantitative proteomics in development of disease protein biomarkers, Proteomic and Metabolomic Approaches to Biomarker Discovery, 10.1016/B978-0-12-818607-7.00015-3, (261-288), (2020).
  • Comparison of data acquisition modes with Orbitrap high‐resolution mass spectrometry for targeted and non‐targeted residue screening in aquacultured eel, Rapid Communications in Mass Spectrometry, 10.1002/rcm.8642, 34, 7, (2020).
  • Proteomics in Food Quality, Reference Module in Food Science, 10.1016/B978-0-08-100596-5.22762-5, (2020).
  • Selected Reaction Monitoring Mass Spectrometry, Selected Reaction Monitoring Mass Spectrometry (SRM-MS) in Proteomics, 10.1007/978-3-030-53433-2, (53-88), (2020).
  • From shotgun to targeted proteomics: rapid Scout-MRM assay development for monitoring potential immunomarkers in Dreissena polymorpha, Analytical and Bioanalytical Chemistry, 10.1007/s00216-020-02868-2, (2020).
  • Chemical cross-linking with mass spectrometry: a tool for systems structural biology, Current Opinion in Chemical Biology, 10.1016/j.cbpa.2018.08.006, 48, (8-18), (2019).
  • Breast Cancer Classification Based on Proteotypes Obtained by SWATH Mass Spectrometry, Cell Reports, 10.1016/j.celrep.2019.06.046, 28, 3, (832-843.e7), (2019).
  • Comparing SRM and SWATH methods for quantitation of bovine muscle proteomes, Journal of Agricultural and Food Chemistry, 10.1021/acs.jafc.8b05459, (2019).
  • Determining Allele-Specific Protein Expression (ASPE) Using a Novel Quantitative Concatamer Based Proteomics Method, Journal of Proteome Research, 10.1021/acs.jproteome.8b00620, 17, 10, (3606-3612), (2018).
  • Targeted proteomics analyses of phosphorylation-dependent signalling networks, Journal of Proteomics, 10.1016/j.jprot.2018.02.004, 189, (39-47), (2018).
  • Application of targeted mass spectrometry in bottom-up proteomics for systems biology research, Journal of Proteomics, 10.1016/j.jprot.2018.02.008, (2018).
  • Recent advances and clinical insights into the use of proteomics in the study of atherosclerosis, Expert Review of Proteomics, 10.1080/14789450.2017.1353912, 14, 8, (701-713), (2017).
  • Advances in proteomic technologies and their scope of application in understanding plant–pathogen interactions, Journal of Plant Biochemistry and Biotechnology, 10.1007/s13562-017-0402-1, 26, 4, (371-386), (2017).
  • Harnessing the power of proteomics for identification of oncogenic, druggable signalling pathways in cancer, Expert Opinion on Drug Discovery, 10.1080/17460441.2017.1304377, 12, 5, (431-447), (2017).
  • Targeted mass spectrometry: An emerging powerful approach to unblock the bottleneck in phosphoproteomics, Journal of Chromatography B, 10.1016/j.jchromb.2017.04.026, 1055-1056, (29-38), (2017).
  • Clinical applications of quantitative proteomics using targeted and untargeted data-independent acquisition techniques, Expert Review of Proteomics, 10.1080/14789450.2017.1322904, 14, 5, (419-429), (2017).
  • Targeted degradomics in protein terminomics and protease substrate discovery, Biological Chemistry, 10.1515/hsz-2017-0187, 399, 1, (2017).
  • Comparison of Quantitative Mass Spectrometry Platforms for Monitoring Kinase ATP Probe Uptake in Lung Cancer, Journal of Proteome Research, 10.1021/acs.jproteome.7b00329, (2017).
  • Towards comprehensive and quantitative proteomics for diagnosis and therapy of human disease, PROTEOMICS, 10.1002/pmic.201600079, 17, 1-2, (2016).

The full text of this article hosted at iucr.org is unavailable due to technical difficulties.