TY - JOUR
T1 - Insights from the First Phosphopeptide Challenge of the MS Resource Pillar of the HUPO Human Proteome Project
AU - Hoopmann, Michael R.
AU - Kusebauch, Ulrike
AU - Palmblad, Magnus
AU - Bandeira, Nuno
AU - Shteynberg, David D.
AU - He, Lingjie
AU - Xia, Bin
AU - Stoychev, Stoyan H.
AU - Omenn, Gilbert S.
AU - Weintraub, Susan T.
AU - Moritz, Robert L.
N1 - Funding Information:
We thank SynPeptide for generously providing the synthetic peptides and Justin Jordaan and Isak Gerber from ReSyn Biosciences for providing the MagReSyn phosphopeptide enrichment kits. We thank John Aitchison (Seattle Children’s Research Institute) for providing the yeast protein stock, Sarah Li (Moritz Lab, ISB) for help with sample formulation, and Jeremy Carver (UCSD) for supporting the data implementation in MassIVE. This work was funded in part by the National Institutes of Health, National Institute of General Medical Sciences grant R01GM087221, the Office of the Director S10OD026936, the National Institute of Allergy and Infectious Diseases grant R21AI133335, and the National Institute on Aging grant U19AG023122 (R.L.M.); by NSF award 1920268 and ABI 1759980 and NIH awards NIH-NLM 1R01LM013115, P41GM103484, and R24GM127667 (N.B.); and by NIH P30ES017885 and U24CA210967 (G.S.O.). Finally, we thank all the HPP MS Pillar Phosphopeptide Challenge participants that contributed expertise and reported their methods and results for teh cummunity to evaluate and learn from this process.
Publisher Copyright:
© 2020 American Chemical Society. All rights reserved.
PY - 2020/12/4
Y1 - 2020/12/4
N2 - Mass spectrometry has greatly improved the analysis of phosphorylation events in complex biological systems and on a large scale. Despite considerable progress, the correct identification of phosphorylated sites, their quantification, and their interpretation regarding physiological relevance remain challenging. The MS Resource Pillar of the Human Proteome Organization (HUPO) Human Proteome Project (HPP) initiated the Phosphopeptide Challenge as a resource to help the community evaluate methods, learn procedures and data analysis routines, and establish their own workflows by comparing results obtained from a standard set of 94 phosphopeptides (serine, threonine, tyrosine) and their nonphosphorylated counterparts mixed at different ratios in a neat sample and a yeast background. Participants analyzed both samples with their method(s) of choice to report the identification and site localization of these peptides, determine their relative abundances, and enrich for the phosphorylated peptides in the yeast background. We discuss the results from 22 laboratories that used a range of different methods, instruments, and analysis software. We reanalyzed submitted data with a single software pipeline and highlight the successes and challenges in correct phosphosite localization. All of the data from this collaborative endeavor are shared as a resource to encourage the development of even better methods and tools for diverse phosphoproteomic applications. All submitted data and search results were uploaded to MassIVE (https://massive.ucsd.edu/) as data set MSV000085932 with ProteomeXchange identifier PXD020801.
AB - Mass spectrometry has greatly improved the analysis of phosphorylation events in complex biological systems and on a large scale. Despite considerable progress, the correct identification of phosphorylated sites, their quantification, and their interpretation regarding physiological relevance remain challenging. The MS Resource Pillar of the Human Proteome Organization (HUPO) Human Proteome Project (HPP) initiated the Phosphopeptide Challenge as a resource to help the community evaluate methods, learn procedures and data analysis routines, and establish their own workflows by comparing results obtained from a standard set of 94 phosphopeptides (serine, threonine, tyrosine) and their nonphosphorylated counterparts mixed at different ratios in a neat sample and a yeast background. Participants analyzed both samples with their method(s) of choice to report the identification and site localization of these peptides, determine their relative abundances, and enrich for the phosphorylated peptides in the yeast background. We discuss the results from 22 laboratories that used a range of different methods, instruments, and analysis software. We reanalyzed submitted data with a single software pipeline and highlight the successes and challenges in correct phosphosite localization. All of the data from this collaborative endeavor are shared as a resource to encourage the development of even better methods and tools for diverse phosphoproteomic applications. All submitted data and search results were uploaded to MassIVE (https://massive.ucsd.edu/) as data set MSV000085932 with ProteomeXchange identifier PXD020801.
KW - Human Proteome Organization (HUPO)
KW - Human Proteome Project (HPP)
KW - MS Resource Pillar
KW - Phosphopeptide Challenge
KW - false identification rate
KW - mass spectrometry
KW - phospho site localization
KW - phosphopeptide enrichment
KW - phosphorylated peptides
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U2 - 10.1021/acs.jproteome.0c00648
DO - 10.1021/acs.jproteome.0c00648
M3 - Article
C2 - 33166149
AN - SCOPUS:85096550291
SN - 1535-3893
VL - 19
SP - 4754
EP - 4765
JO - Journal of Proteome Research
JF - Journal of Proteome Research
IS - 12
ER -