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2019-08-16Zeitschriftenartikel DOI: 10.25646/6428
A Robust and Universal Metaproteomics Workflow for Research Studies and Routine Diagnostics Within 24 h Using Phenol Extraction, FASP Digest, and the MetaProteomeAnalyzer
dc.contributor.authorHeyer, Robert
dc.contributor.authorSchallert, Kay
dc.contributor.authorBüdel, Anja
dc.contributor.authorZoun, Roman
dc.contributor.authorDorl, Sebastian
dc.contributor.authorBehne, Alexander
dc.contributor.authorKohrs, Fabian
dc.contributor.authorPüttker, Sebastian
dc.contributor.authorSiewert, Corina
dc.contributor.authorMuth, Thilo
dc.contributor.authorSaake, Gunter
dc.contributor.authorReichl, Udo
dc.contributor.authorBenndorf, Dirk
dc.date.accessioned2019-12-03T07:35:12Z
dc.date.available2019-12-03T07:35:12Z
dc.date.issued2019-08-16none
dc.identifier.other10.3389/fmicb.2019.01883
dc.identifier.urihttp://edoc.rki.de/176904/6438
dc.description.abstractThe investigation of microbial proteins by mass spectrometry (metaproteomics) is a key technology for simultaneously assessing the taxonomic composition and the functionality of microbial communities in medical, environmental, and biotechnological applications. We present an improved metaproteomics workflow using an updated sample preparation and a new version of the MetaProteomeAnalyzer software for data analysis. High resolution by multidimensional separation (GeLC, MudPIT) was sacrificed to aim at fast analysis of a broad range of different samples in less than 24 h. The improved workflow generated at least two times as many protein identifications than our previous workflow, and a drastic increase of taxonomic and functional annotations. Improvements of all aspects of the workflow, particularly the speed, are first steps toward potential routine clinical diagnostics (i.e., fecal samples) and analysis of technical and environmental samples. The MetaProteomeAnalyzer is provided to the scientific community as a central remote server solution at www.mpa.ovgu.de.eng
dc.language.isoengnone
dc.publisherRobert Koch-Institut
dc.rights(CC BY 3.0 DE) Namensnennung 3.0 Deutschlandger
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/de/
dc.subjectbioinformaticseng
dc.subjectsoftwareeng
dc.subjectsample preparationeng
dc.subjectenvironmental proteomicseng
dc.subjectmicrobial communitieseng
dc.subjectmass spectrometryeng
dc.subjectgut microbiomeeng
dc.subject.ddc610 Medizin und Gesundheitnone
dc.titleA Robust and Universal Metaproteomics Workflow for Research Studies and Routine Diagnostics Within 24 h Using Phenol Extraction, FASP Digest, and the MetaProteomeAnalyzernone
dc.typearticle
dc.identifier.urnurn:nbn:de:kobv:0257-176904/6438-4
dc.identifier.doihttp://dx.doi.org/10.25646/6428
dc.type.versionpublishedVersionnone
local.edoc.container-titleFrontiers in Microbiologynone
local.edoc.type-nameZeitschriftenartikel
local.edoc.container-typeperiodical
local.edoc.container-type-nameZeitschrift
local.edoc.container-urlhttps://www.frontiersin.org/articles/10.3389/fmicb.2019.01883/fullnone
local.edoc.container-publisher-nameFrontiers Medianone
local.edoc.container-volume10none
local.edoc.container-issue1883none
local.edoc.container-year2019none
local.edoc.container-firstpage1none
local.edoc.container-lastpage20none
local.edoc.rki-departmentMethodenentwicklung und Forschungsinfrastrukturnone
dc.description.versionPeer Reviewednone

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