2017
DOI: 10.1038/ncomms14271
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Accelerating the search for the missing proteins in the human proteome

Abstract: The Human Proteome Project (HPP) aims to discover high-stringency data for all proteins encoded by the human genome. Currently, ∼18% of the proteins in the human proteome (the missing proteins) do not have high-stringency evidence (for example, mass spectrometry) confirming their existence, while much additional information is available about many of these missing proteins. Here, we present MissingProteinPedia as a community resource to accelerate the discovery and understanding of these missing proteins.

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Cited by 90 publications
(108 citation statements)
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“…These improvements allowed achieving a number of milestones within the Human Proteome Project and other global proteomic initiatives . Among the recent achievements is, for example, the identification at the proteome level of most of the protein coding reading frames predicted before from the genome sequence …”
Section: Introductionmentioning
confidence: 99%
“…These improvements allowed achieving a number of milestones within the Human Proteome Project and other global proteomic initiatives . Among the recent achievements is, for example, the identification at the proteome level of most of the protein coding reading frames predicted before from the genome sequence …”
Section: Introductionmentioning
confidence: 99%
“…The first is based on technical sensitivity, as low abundance proteins are difficult to detect and not all of the proteins have been identified. It is estimated that ≈80% of the proteins in humans have been detected with high‐confidence, but the remaining 20% of proteins have not been identifiable with current experimental methods . Additionally, protein and transcript levels do not always overlap so transcriptomic and proteomic analyses may not be directly comparable.…”
Section: Discussionmentioning
confidence: 99%
“…The ORs form a multigene family consisting of around 1,000 genes in humans, but only ~400 functional genes code for ORs; the remaining 600 candidates are pseudogenes [71,72]. These latter ORs are indeed the best examples of a so-called black box in the proteomics field, although their coding genes are distributed over almost all the chromosomes [73]. For instance, the PeptideAtlas has reevaluated its OR entries and has eliminated the two remaining entries as of 2014 [14].…”
Section: Challenges For the C-hppmentioning
confidence: 99%