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Human Proteome Project Mass Spectrometry Data Interpretation Guidelines 3.0
- Source :
- Journal of Proteome Research, Journal of Proteome Research, 2019, 18 (12), pp.4108-4116. ⟨10.1021/acs.jproteome.9b00542⟩, Journal of Proteome Research, American Chemical Society, 2019, 18 (12), pp.4108-4116. ⟨10.1021/acs.jproteome.9b00542⟩, Journal of Proteome Research, Vol. 18, No 12 (2019) pp. 4108-4116
- Publication Year :
- 2019
- Publisher :
- American Chemical Society (ACS), 2019.
-
Abstract
- The Human Proteome Organization’s (HUPO) Human Proteome Project (HPP) developed Mass Spectrometry (MS) Data Interpretation Guidelines that have been applied since 2016. These guidelines have helped ensure that the emerging draft of the complete human proteome is highly accurate and with low numbers of false-positive protein identifications. Here, we describe an update to these guidelines based on consensus-reaching discussions with the wider HPP community over the past year. The revised 3.0 guidelines address several major and minor identified gaps. We have added guidelines for emerging data independent acquisition (DIA) MS workflows and for use of the new Universal Spectrum Identifier (USI) system being developed by the HUPO Proteomics Standards Initiative (PSI). In addition, we discuss updates to the standard HPP pipeline for collecting MS evidence for all proteins in the HPP, including refinements to minimum evidence. We present a new plan for incorporating MassIVE-KB into the HPP pipeline for the next (HPP 2020) cycle in order to obtain more comprehensive coverage of public MS data sets. The main checklist has been reorganized under headings and subitems, and related guidelines have been grouped. In sum, Version 2.1 of the HPP MS Data Interpretation Guidelines has served well, and this timely update to version 3.0 will aid the HPP as it approaches its goal of collecting and curating MS evidence of translation and expression for all predicted ∼20 000 human proteins encoded by the human genome.<br />This work was funded in part by the National Institutes of Health grants R01GM087221 (EWD/RLM), R24GM127667 (EWD), U54EB020406 (EWD), R01HL133135 (RLM), U19AG02312 (RLM), U54ES017885 (GSO), U24CA210967-01 (GSO), R01LM013115 (NB) and P41GM103484 (NB); National Science Foundation grants ABI-1759980 (NB), DBI-1933311 (EWD), and IOS-1922871 (EWD); Canadian Institutes of Health Research 148408 (CMO); Korean Ministry of Health and Welfare HI13C2098 (YKP); French Ministry of Higher Education, Research and Innovation, ProFI project, ANR-10-INBS-08 (YV); also in part by the National Eye Institute (NEI), National Human Genome Research Institute (NHGRI), National Heart, Lung, and Blood Institute (NHLBI), National Institute of Allergy and Infectious Diseases (NIAID), National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), National Institute of General Medical Sciences (NIGMS), and National Institute of Mental Health (NIMH) of the National Institutes of Health under Award Number U24HG007822 (SO) (the content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health).
- Subjects :
- Proteomics
Societies, Scientific
0301 basic medicine
Standards
Proteome
Computer science
[SDV]Life Sciences [q-bio]
Guidelines as Topic
Guidelines
Mass spectrometry
Biochemistry
Article
03 medical and health sciences
Human proteome project
Humans
Data-independent acquisition
Human Proteome Project
Human proteins
030304 developmental biology
ddc:616
0303 health sciences
030102 biochemistry & molecular biology
Proteomics Standards Initiative
4. Education
C-HPP
030302 biochemistry & molecular biology
Universal Spectrum Identifier (USI)
Data interpretation
Signal Processing, Computer-Assisted
General Chemistry
Data science
3. Good health
030104 developmental biology
Workflow
False-discovery rates
Human genome
HPP
B/D-HPP
Unicity checker
Subjects
Details
- ISSN :
- 15353907 and 15353893
- Volume :
- 18
- Database :
- OpenAIRE
- Journal :
- Journal of Proteome Research
- Accession number :
- edsair.doi.dedup.....ae7f650039bde3f5010c2c07746704d0
- Full Text :
- https://doi.org/10.1021/acs.jproteome.9b00542