Introducing untargeted data-independent acquisition for metaproteomics of complex microbial samples

dc.contributor.authorPietilä Sami
dc.contributor.authorSuomi Tomi
dc.contributor.authorElo L. Laura
dc.contributor.organizationfi=Turun biotiedekeskus|en=Turku Bioscience Centre|
dc.contributor.organization-code1.2.246.10.2458963.20.18586209670
dc.contributor.organization-code2609201
dc.converis.publication-id177866263
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/177866263
dc.date.accessioned2023-01-18T03:31:46Z
dc.date.available2023-01-18T03:31:46Z
dc.description.abstract<p>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 <em>glaDIAtor</em>, including a modern web-based graphical user interface to facilitate wide use of the tool by the community.<br></p>
dc.identifier.eissn2730-6151
dc.identifier.jour-issn2730-6151
dc.identifier.olddbid191093
dc.identifier.oldhandle10024/174183
dc.identifier.urihttps://www.utupub.fi/handle/11111/30001
dc.identifier.urlhttps://doi.org/10.1038/s43705-022-00137-0
dc.identifier.urnURN:NBN:fi-fe202301173185
dc.language.isoen
dc.okm.affiliatedauthorPietilä, Sami
dc.okm.affiliatedauthorSuomi, Tomi
dc.okm.affiliatedauthorElo, Laura
dc.okm.discipline113 Computer and information sciencesen_GB
dc.okm.discipline3111 Biomedicineen_GB
dc.okm.discipline318 Medical biotechnologyen_GB
dc.okm.discipline113 Tietojenkäsittely ja informaatiotieteetfi_FI
dc.okm.discipline3111 Biolääketieteetfi_FI
dc.okm.discipline318 Lääketieteen bioteknologiafi_FI
dc.okm.internationalcopublicationnot an international co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisher.countryUnited Kingdomen_GB
dc.publisher.countryBritanniafi_FI
dc.publisher.country-codeGB
dc.relation.articlenumber51
dc.relation.doi10.1038/s43705-022-00137-0
dc.relation.ispartofjournalISME Communications
dc.relation.volume2
dc.source.identifierhttps://www.utupub.fi/handle/10024/174183
dc.titleIntroducing untargeted data-independent acquisition for metaproteomics of complex microbial samples
dc.year.issued2022

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