title: Analysis of the tryptic search space in UniProt databases.
abstract: In this article, we provide a comprehensive study of the content of the Universal Protein Resource (UniProt) protein data sets for human and mouse. The tryptic search spaces of the UniProtKB (UniProt knowledgebase) complete proteome sets were compared with other data sets from UniProtKB and with the corresponding International Protein Index, reference sequence, Ensembl, and UniRef100 (where UniRef is UniProt reference clusters) organism-specific data sets. All protein forms annotated in UniProtKB (both the canonical sequences and isoforms) were evaluated in this study. In addition, natural and disease-associated amino acid variants annotated in UniProtKB were included in the evaluation. The peptide unicity was also evaluated for each data set. Furthermore, the peptide information in the UniProtKB data sets was also compared against the available peptide-level identifications in the main MS-based proteomics repositories. Identifying the peptides observed in these repositories is an important resource of information for protein databases as they provide supporting evidence for the existence of otherwise predicted proteins. Likewise, the repositories could use the information available in UniProtKB to direct reprocessing efforts on specific sets of peptides/proteins of interest. In summary, we provide comprehensive information about the different organism-specific sequence data sets available from UniProt, together with the pros and cons for each, in terms of search space for MS-based bottom-up proteomics workflows. The aim of the analysis is to provide a clear view of the tryptic search space of UniProt and other protein databases to enable scientists to select those most appropriate for their purposes.
authors.affiliation: European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, UK.
authors.forename: Emanuele
authors.initials: E
authors.lastname: Alpi
authors.forename: Johannes
authors.initials: J
authors.lastname: Griss
authors.forename: Alan Wilter Sousa
authors.initials: AW
authors.lastname: da Silva
authors.forename: Benoit
authors.initials: B
authors.lastname: Bely
authors.forename: Ricardo
authors.initials: R
authors.lastname: Antunes
authors.forename: Hermann
authors.initials: H
authors.lastname: Zellner
authors.forename: Daniel
authors.initials: D
authors.lastname: Ríos
authors.forename: Claire
authors.initials: C
authors.lastname: O'Donovan
authors.forename: Juan Antonio
authors.initials: JA
authors.lastname: Vizcaíno
authors.forename: Maria J
authors.initials: MJ
authors.lastname: Martin
mesh_terms: D000818:Animals; D030562:Databases, Protein; D006801:Humans; D051379:Mice; D010455:Peptides / Q000737:chemistry / Q000378:metabolism; D020033:Protein Isoforms / Q000737:chemistry / Q000378:metabolism; D011506:Proteins / Q000737:chemistry* / Q000378:metabolism; D040901:Proteomics; D020539:Sequence Analysis, Protein; D014357:Trypsin / Q000378:metabolism
chemical_list: D010455:Peptides; D020033:Protein Isoforms; D011506:Proteins; D014357:Trypsin
keywords: Bioinformatics; Protein isoforms; Sequence redundancy; Trypsin digestion; Variation