Evidence map›Paper›PMID 26155816›Full record

ArticleJournal of proteome research2015

Metrics for the Human Proteome Project 2015: Progress on the Human Proteome and Guidelines for High-Confidence Protein Identification.

Gilbert S Omenn, Lydie Lane, Emma K Lundberg, Ronald C Beavis, Alexey I Nesvizhskii, Eric W Deutsch

Abstract read
In one paragraph

Article in Journal of proteome research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

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  14. A Golden Age for Working with Public Proteomics Data.Trends in biochemical sciences · 2017
    Review
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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

6 authors.

Gilbert S OmennDepartment of Computational Medicine and Bioinformatics, University of Michigan , 100 Washtenaw Avenue, Ann Arbor, Michigan 48109-2218, United States.
Lydie LaneCALIPHO Group, Swiss Institute of Bioinformatics , Michel-Servet 1, 1211 Geneva 4, Switzerland.
Emma K LundbergSciLifeLab Stockholm and School of Biotechnology, KTH , Karolinska Institutet Science Park, Tomtebodavägen 23, SE-171 65 Solna, Sweden.
Ronald C BeavisBiochemistry & Medical Genetics, University of Manitoba , Winnipeg, MB, Canada R3T 2N2.
Alexey I NesvizhskiiPathology Department, University of Michigan , Medical Science Building 1, M4237, Ann Arbor, Michigan 48109-5602, United States.
Eric W DeutschInstitute for Systems Biology , 401 Terry Avenue North, Seattle, Washington 98109-5263, United States.

Funding

Quantitative Systems BiologyP50GM076547 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI BALIGA, NITIN S · 2006 to 2016
$30.6M
Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Dana Dolinoy · 2011 to 2026
$21.3M
TrainingU54EB020406 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TOGA, ARTHUR W · 2014 to 2018
$12.5M
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
COMPUTATIONAL TOOLS FOR MASS SPECTROMETRY-BASED INTERACTOME DATAR01GM094231 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Alexey I Nesvizhskii · 2010 to 2026
$5.4M
NIBIB NIH HHS U54 EB020406NIBIB NIH HHS U54EB020406NIEHS NIH HHS P30 ES017885NIEHS NIH HHS U54ES017885NIGMS NIH HHS 2P50GM076547NIGMS NIH HHS P50 GM076547NIGMS NIH HHS R01 GM087221NIGMS NIH HHS R01GM087221NIGMS NIH HHS R01 GM094231
6 · The paper itself

Abstract

Remarkable progress continues on the annotation of the proteins identified in the Human Proteome and on finding credible proteomic evidence for the expression of "missing proteins". Missing proteins are those with no previous protein-level evidence or insufficient evidence to make a confident identification upon reanalysis in PeptideAtlas and curation in neXtProt. Enhanced with several major new data sets published in 2014, the human proteome presented as neXtProt, version 2014-09-19, has 16,491 unique confident proteins (PE level 1), up from 13,664 at 2012-12 and 15,646 at 2013-09. That leaves 2948 missing proteins from genes classified having protein existence level PE 2, 3, or 4, as well as 616 dubious proteins at PE 5. Here, we document the progress of the HPP and discuss the importance of assessing the quality of evidence, confirming automated findings and considering alternative protein matches for spectra and peptides. We provide guidelines for proteomics investigators to apply in reporting newly identified proteins.

Indexed as

Guidelines as TopicProteomeHumansProteinsProteinsProteomeGlobal Proteome Machine database (GPMDB)guidelineshigh-confidence protein identificationsHPP metricsHuman Protein AtlasHuman Proteome Projectmissing proteinsneXtProtnovel proteinsPeptideAtlas

Identifiers

PMID26155816
PMCPMC4755311

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.