Evidence map›Paper›PMID 33166149›Full record

ArticleJournal of proteome research2020

Insights from the First Phosphopeptide Challenge of the MS Resource Pillar of the HUPO Human Proteome Project.

Michael R Hoopmann, Ulrike Kusebauch, Magnus Palmblad, Nuno Bandeira, David D Shteynberg, Lingjie He, Bin Xia, Stoyan H Stoychev, Gilbert S Omenn, Susan T Weintraub and 1 more

Abstract read
In one paragraph

Article in Journal of proteome research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
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  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Michael R HoopmannInstitute for Systems Biology, Seattle, Washington 98109, United States.ORCID 0000-0001-7029-7792
Ulrike KusebauchInstitute for Systems Biology, Seattle, Washington 98109, United States.
Magnus PalmbladCenter for Proteomics and Metabolomics, Leiden University Medical Center, 2300 RC Leiden, The Netherlands.ORCID 0000-0002-5865-8994
Nuno BandeiraDepartment of Computer Science and Engineering, University of California, San Diego, La Jolla, California 92093, United States.ORCID 0000-0001-8385-3655
David D ShteynbergInstitute for Systems Biology, Seattle, Washington 98109, United States.
Lingjie HeSynpeptide Co., Ltd., Shanghai 201204, China.
Bin XiaSynpeptide Co., Ltd., Shanghai 201204, China.
Stoyan H StoychevReSyn Biosciences, Pretoria 0184, South Africa.
Gilbert S OmennInstitute for Systems Biology, Seattle, Washington 98109, United States.ORCID 0000-0002-8976-6074
Susan T WeintraubDepartment of Biochemistry and Structural Biology, The University of Texas Health Science Center at San Antonio, San Antonio, Texas 78229, United States.ORCID 0000-0002-8328-7814
Robert L MoritzInstitute for Systems Biology, Seattle, Washington 98109, United States.ORCID 0000-0002-3216-9447

Funding

Systems BiologyU19AG023122 · NIA · TRANSLATIONAL GENOMICS RESEARCH INST · PI NICHOLAS Joseph SCHORK · 2004 to 2026
$102.6M
Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Dana Dolinoy · 2011 to 2026
$21.3M
TrainingP41GM103484 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BANDEIRA, NUNO · 2012 to 2018
$8.7M
Shortening the development cycle time of Trans Proteomic Pipeline tools with high performance computingR01GM087221 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI DEUTSCH, ERIC, MORITZ, ROBERT L · 2010 to 2021
$6.0M
University of Michigan Proteogenomics Data Analysis CenterU24CA210967 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHINNAIYAN, ARUL M, DHANASEKARAN, SARAVANA M · 2016 to 2020
$4.1M
MassIVE.quant: a curated and scalable community resource for quantitative proteomicsR01LM013115 · NLM · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BANDEIRA, NUNO · 2019 to 2022
$1.3M
Advancing data and metadata standards for proteomics mass spectraR24GM127667 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI DEUTSCH, ERIC · 2017 to 2019
$1.2M
Acquisition of Fusion Lumos Orbitrap mass spectrometerS10OD026936 · OD · INSTITUTE FOR SYSTEMS BIOLOGY · PI MORITZ, ROBERT L · 2019 to 2019
$600k
Novel peptide based biomarkers for Lyme disease diagnosticsR21AI133335 · NIAID · INSTITUTE FOR SYSTEMS BIOLOGY · PI MORITZ, ROBERT L · 2018 to 2019
$522k
NCI NIH HHS U24 CA210967NIAID NIH HHS R21 AI133335NIA NIH HHS U19 AG023122NIEHS NIH HHS P30 ES017885NIGMS NIH HHS P41 GM103484NIGMS NIH HHS R01 GM087221NIGMS NIH HHS R24 GM127667NIH HHS S10 OD026936NLM NIH HHS R01 LM013115
6 · The paper itself

Abstract

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.

Indexed as

PhosphopeptidesProteomeHumansMass SpectrometryPhosphorylationProteomicsPhosphopeptidesProteomefalse identification rateHuman Proteome Organization (HUPO)Human Proteome Project (HPP)mass spectrometryMS Resource PillarPhosphopeptide Challengephosphopeptide enrichmentphosphorylated peptidesphospho site localization

Identifiers

PMID33166149
PMCPMC8204901

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.