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Introducing untargeted data-independent acquisition for metaproteomics of complex microbial samples
Mass spectrometry-based metaproteomics is a relatively new field of research that enables the characterization of the functionality of microbiota. Recently, we demonstrated the applicability of data-independent acquisition (DIA) mass spectrometry to the analysis of complex metaproteomic samples. Thi...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9723653/ https://www.ncbi.nlm.nih.gov/pubmed/37938742 http://dx.doi.org/10.1038/s43705-022-00137-0 |
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author | Pietilä, Sami Suomi, Tomi Elo, Laura L. |
author_facet | Pietilä, Sami Suomi, Tomi Elo, Laura L. |
author_sort | Pietilä, Sami |
collection | PubMed |
description | Mass spectrometry-based metaproteomics is a relatively new field of research that enables the characterization of the functionality of microbiota. Recently, we demonstrated the applicability of data-independent acquisition (DIA) mass spectrometry to the analysis of complex metaproteomic samples. This allowed us to circumvent many of the drawbacks of the previously used data-dependent acquisition (DDA) mass spectrometry, mainly the limited reproducibility when analyzing samples with complex microbial composition. However, the DDA-assisted DIA approach still required additional DDA data on the samples to assist the analysis. Here, we introduce, for the first time, an untargeted DIA metaproteomics tool that does not require any DDA data, but instead generates a pseudospectral library directly from the DIA data. This reduces the amount of required mass spectrometry data to a single DIA run per sample. The new DIA-only metaproteomics approach is implemented as a new open-source software package named glaDIAtor, including a modern web-based graphical user interface to facilitate wide use of the tool by the community. |
format | Online Article Text |
id | pubmed-9723653 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-97236532023-01-04 Introducing untargeted data-independent acquisition for metaproteomics of complex microbial samples Pietilä, Sami Suomi, Tomi Elo, Laura L. ISME Commun Article Mass spectrometry-based metaproteomics is a relatively new field of research that enables the characterization of the functionality of microbiota. Recently, we demonstrated the applicability of data-independent acquisition (DIA) mass spectrometry to the analysis of complex metaproteomic samples. This allowed us to circumvent many of the drawbacks of the previously used data-dependent acquisition (DDA) mass spectrometry, mainly the limited reproducibility when analyzing samples with complex microbial composition. However, the DDA-assisted DIA approach still required additional DDA data on the samples to assist the analysis. Here, we introduce, for the first time, an untargeted DIA metaproteomics tool that does not require any DDA data, but instead generates a pseudospectral library directly from the DIA data. This reduces the amount of required mass spectrometry data to a single DIA run per sample. The new DIA-only metaproteomics approach is implemented as a new open-source software package named glaDIAtor, including a modern web-based graphical user interface to facilitate wide use of the tool by the community. Nature Publishing Group UK 2022-06-29 /pmc/articles/PMC9723653/ /pubmed/37938742 http://dx.doi.org/10.1038/s43705-022-00137-0 Text en © The Author(s) 2022 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 Pietilä, Sami Suomi, Tomi Elo, Laura L. Introducing untargeted data-independent acquisition for metaproteomics of complex microbial samples |
title | Introducing untargeted data-independent acquisition for metaproteomics of complex microbial samples |
title_full | Introducing untargeted data-independent acquisition for metaproteomics of complex microbial samples |
title_fullStr | Introducing untargeted data-independent acquisition for metaproteomics of complex microbial samples |
title_full_unstemmed | Introducing untargeted data-independent acquisition for metaproteomics of complex microbial samples |
title_short | Introducing untargeted data-independent acquisition for metaproteomics of complex microbial samples |
title_sort | introducing untargeted data-independent acquisition for metaproteomics of complex microbial samples |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9723653/ https://www.ncbi.nlm.nih.gov/pubmed/37938742 http://dx.doi.org/10.1038/s43705-022-00137-0 |
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