The potential clinical impact of the release of two drafts of the human proteome.
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.
a Unidad de Proteómica , Centro Nacional de Investigaciones Cardiovasculares, CNIC , Madrid , Spain.
Iakes
I
Ezkurdia
a Unidad de Proteómica , Centro Nacional de Investigaciones Cardiovasculares, CNIC , Madrid , Spain.
Enrique
E
Calvo
b Instituto de Genetica Medica y Molecular , Hospital Universitario La Paz , Madrid , Spain.
Angela
A
Del Pozo
c Laboratorio de Proteómica Cardiovascular , Centro Nacional de Investigaciones Cardiovasculares, CNIC , Madrid , Spain.
Jesús
J
Vázquez
d Structural Biology and Bioinformatics Programme , Spanish National Cancer Research Centre (CNIO) , Madrid , Spain.|e National Bioinformatics Institute (INB) , Spanish National Cancer Research Centre (CNIO) , Madrid , Spain.
Alfonso
A
Valencia
d Structural Biology and Bioinformatics Programme , Spanish National Cancer Research Centre (CNIO) , Madrid , Spain.
Michael L
ML
Tress
D030562:Databases, Protein; D006801:Humans; D010455:Peptides; D020543:Proteome / Q000235:genetics*; D040901:Proteomics
D010455:Peptides; D020543:Proteome
Clinical applications; false discovery rates; human proteome; protein coding genes; proteomics