PepQuery2 democratizes public MS proteomics data for rapid peptide searching

Abstract 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 search...

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Main Authors: Bo Wen, Bing Zhang
Format: Article
Language:English
Published: Nature Portfolio 2023-04-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-023-37462-4
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author Bo Wen
Bing Zhang
author_facet Bo Wen
Bing Zhang
author_sort Bo Wen
collection DOAJ
description Abstract 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.
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spelling doaj.art-6aa48a4a42e7483ca686d58f80e5a9592023-04-23T11:21:39ZengNature PortfolioNature Communications2041-17232023-04-0114111310.1038/s41467-023-37462-4PepQuery2 democratizes public MS proteomics data for rapid peptide searchingBo Wen0Bing Zhang1Lester and Sue Smith Breast Center, Baylor College of MedicineLester and Sue Smith Breast Center, Baylor College of MedicineAbstract 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.https://doi.org/10.1038/s41467-023-37462-4
spellingShingle Bo Wen
Bing Zhang
PepQuery2 democratizes public MS proteomics data for rapid peptide searching
Nature Communications
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
url https://doi.org/10.1038/s41467-023-37462-4
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