posted on 2019-10-21, 17:36authored byEric W. Deutsch, Lydie Lane, Christopher M. Overall, Nuno Bandeira, Mark S. Baker, Charles Pineau, Robert L. Moritz, Fernando Corrales, Sandra Orchard, Jennifer E. Van Eyk, Young-Ki Paik, Susan T. Weintraub, Yves Vandenbrouck, Gilbert S. Omenn
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.