ArticleProteomics2015
Analysis of the tryptic search space in UniProt databases.
Article in Proteomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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.
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Who cites it
10 citing papers in PubMed.
- Automated proteomic sample preparation: The key component for high throughput and quantitative mass spectrometry analysis.Mass spectrometry reviews · 2023Review
- Article
- Bioenergetic shift and actin cytoskeleton remodelling as acute vascular adaptive mechanisms to angiotensin II in murine retina and ophthalmic artery.Redox biology · 2020Article
- Isolation and Characterization of T Lymphocyte-Exosomes Using Mass Spectrometry.Methods in molecular biology (Clifton, N.J.) · 2020Article
- Characterizing metal-binding sites in proteins with X-ray crystallography.Nature protocols · 2018Article
- Transcription-translation coupling: direct interactions of RNA polymerase with ribosomes and ribosomal subunits.Nucleic acids research · 2017Article
- Integrating Next-Generation Genomic Sequencing and Mass Spectrometry To Estimate Allele-Specific Protein Abundance in Human Brain.Journal of proteome research · 2017Article
- Article
- Targeting the ubiquitin-conjugating enzyme E2D4 for cancer drug discovery-a structure-based approach.Journal of chemical biology · 2017Article
- Cleaning out the Litterbox of Proteomic Scientists' Favorite Pet: Optimized Data Analysis Avoiding Trypsin Artifacts.Journal of proteome research · 2016Article
Corrections and comments
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Authors and funding
10 authors.
Funding
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.
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Registered trials
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.