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PepQuery2 democratizes public MS proteomics data for rapid peptide searching
We present PepQuery2, which leverages a new tandem mass spectrometry (MS/MS) data indexing approach to enable ultrafast, targeted identification of novel and known peptides in any local or publicly available MS proteomics datasets. The stand-alone version of PepQuery2 allows directly searching more...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10113256/ https://www.ncbi.nlm.nih.gov/pubmed/37072382 http://dx.doi.org/10.1038/s41467-023-37462-4 |
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author | Wen, Bo Zhang, Bing |
author_facet | Wen, Bo Zhang, Bing |
author_sort | Wen, Bo |
collection | PubMed |
description | We present PepQuery2, which leverages a new tandem mass spectrometry (MS/MS) data indexing approach to enable ultrafast, targeted identification of novel and known peptides in any local or publicly available MS proteomics datasets. The stand-alone version of PepQuery2 allows directly searching more than one billion indexed MS/MS spectra in the PepQueryDB or any public datasets from PRIDE, MassIVE, iProX, or jPOSTrepo, whereas the web version enables users to search datasets in PepQueryDB with a user-friendly interface. We demonstrate the utilities of PepQuery2 in a wide range of applications including detecting proteomic evidence for genomically predicted novel peptides, validating novel and known peptides identified using spectrum-centric database searching, prioritizing tumor-specific antigens, identifying missing proteins, and selecting proteotypic peptides for targeted proteomics experiments. By putting public MS proteomics data directly into the hands of scientists, PepQuery2 opens many new ways to transform these data into useful information for the broad research community. |
format | Online Article Text |
id | pubmed-10113256 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-101132562023-04-20 PepQuery2 democratizes public MS proteomics data for rapid peptide searching Wen, Bo Zhang, Bing Nat Commun Article We present PepQuery2, which leverages a new tandem mass spectrometry (MS/MS) data indexing approach to enable ultrafast, targeted identification of novel and known peptides in any local or publicly available MS proteomics datasets. The stand-alone version of PepQuery2 allows directly searching more than one billion indexed MS/MS spectra in the PepQueryDB or any public datasets from PRIDE, MassIVE, iProX, or jPOSTrepo, whereas the web version enables users to search datasets in PepQueryDB with a user-friendly interface. We demonstrate the utilities of PepQuery2 in a wide range of applications including detecting proteomic evidence for genomically predicted novel peptides, validating novel and known peptides identified using spectrum-centric database searching, prioritizing tumor-specific antigens, identifying missing proteins, and selecting proteotypic peptides for targeted proteomics experiments. By putting public MS proteomics data directly into the hands of scientists, PepQuery2 opens many new ways to transform these data into useful information for the broad research community. Nature Publishing Group UK 2023-04-18 /pmc/articles/PMC10113256/ /pubmed/37072382 http://dx.doi.org/10.1038/s41467-023-37462-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Wen, Bo Zhang, Bing PepQuery2 democratizes public MS proteomics data for rapid peptide searching |
title | PepQuery2 democratizes public MS proteomics data for rapid peptide searching |
title_full | PepQuery2 democratizes public MS proteomics data for rapid peptide searching |
title_fullStr | PepQuery2 democratizes public MS proteomics data for rapid peptide searching |
title_full_unstemmed | PepQuery2 democratizes public MS proteomics data for rapid peptide searching |
title_short | PepQuery2 democratizes public MS proteomics data for rapid peptide searching |
title_sort | pepquery2 democratizes public ms proteomics data for rapid peptide searching |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10113256/ https://www.ncbi.nlm.nih.gov/pubmed/37072382 http://dx.doi.org/10.1038/s41467-023-37462-4 |
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