Evidence map›Paper›PMID 26496066›Full record

ArticleExpert review of proteomics2015

The potential clinical impact of the release of two drafts of the human proteome.

Iakes Ezkurdia, Enrique Calvo, Angela Del Pozo, Jesús Vázquez, Alfonso Valencia, Michael L Tress

Abstract readComment
In one paragraph

Article in Expert review of proteomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  3. Assessing the functional relevance of splice isoforms.NAR genomics and bioinformatics · 2021
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  7. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Iakes Ezkurdiaa Unidad de Proteómica , Centro Nacional de Investigaciones Cardiovasculares, CNIC , Madrid , Spain.
Enrique Calvoa Unidad de Proteómica , Centro Nacional de Investigaciones Cardiovasculares, CNIC , Madrid , Spain.
Angela Del Pozob Instituto de Genetica Medica y Molecular , Hospital Universitario La Paz , Madrid , Spain.
Jesús Vázquezc Laboratorio de Proteómica Cardiovascular , Centro Nacional de Investigaciones Cardiovasculares, CNIC , Madrid , Spain.
Alfonso Valenciad Structural Biology and Bioinformatics Programme , Spanish National Cancer Research Centre (CNIO) , Madrid , Spain.
Michael L Tressd Structural Biology and Bioinformatics Programme , Spanish National Cancer Research Centre (CNIO) , Madrid , Spain.

Funding

GENCODE Resource ProjectU41HG007234 · NHGRI · SANGER INSTITUTE · PI FLICEK, PAUL · 2013 to 2020
$20.3M
NHGRI NIH HHS U41 HG007234
6 · The paper itself

Abstract

The authors have carried out an investigation of the two "draft maps of the human proteome" published in 2014 in Nature. The findings include an abundance of poor spectra, low-scoring peptide-spectrum matches and incorrectly identified proteins in both these studies, highlighting clear issues with the application of false discovery rates. This noise means that the claims made by the two papers - the identification of high numbers of protein coding genes, the detection of novel coding regions and the draft tissue maps themselves - should be treated with considerable caution. The authors recommend that clinicians and researchers do not use the unfiltered data from these studies. Despite this these studies will inspire further investigation into tissue-based proteomics. As long as this future work has proper quality controls, it could help produce a consensus map of the human proteome and improve our understanding of the processes that underlie health and disease.

Indexed as

Databases, ProteinHumansPeptidesProteomeProteomicsPeptidesProteomeClinical applicationsfalse discovery rateshuman proteomeprotein coding genesproteomics

Identifiers

PMID26496066
PMCPMC4732427

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.