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.author | Heyer, Robert | |
dc.contributor.author | Schallert, Kay | |
dc.contributor.author | Büdel, Anja | |
dc.contributor.author | Zoun, Roman | |
dc.contributor.author | Dorl, Sebastian | |
dc.contributor.author | Behne, Alexander | |
dc.contributor.author | Kohrs, Fabian | |
dc.contributor.author | Püttker, Sebastian | |
dc.contributor.author | Siewert, Corina | |
dc.contributor.author | Muth, Thilo | |
dc.contributor.author | Saake, Gunter | |
dc.contributor.author | Reichl, Udo | |
dc.contributor.author | Benndorf, Dirk | |
dc.date.accessioned | 2019-12-03T07:35:12Z | |
dc.date.available | 2019-12-03T07:35:12Z | |
dc.date.issued | 2019-08-16 | none |
dc.identifier.other | 10.3389/fmicb.2019.01883 | |
dc.identifier.uri | http://edoc.rki.de/176904/6438 | |
dc.description.abstract | The 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.iso | eng | none |
dc.publisher | Robert Koch-Institut | |
dc.rights | (CC BY 3.0 DE) Namensnennung 3.0 Deutschland | ger |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/de/ | |
dc.subject | bioinformatics | eng |
dc.subject | software | eng |
dc.subject | sample preparation | eng |
dc.subject | environmental proteomics | eng |
dc.subject | microbial communities | eng |
dc.subject | mass spectrometry | eng |
dc.subject | gut microbiome | eng |
dc.subject.ddc | 610 Medizin und Gesundheit | none |
dc.title | A Robust and Universal Metaproteomics Workflow for Research Studies and Routine Diagnostics Within 24 h Using Phenol Extraction, FASP Digest, and the MetaProteomeAnalyzer | none |
dc.type | article | |
dc.identifier.urn | urn:nbn:de:kobv:0257-176904/6438-4 | |
dc.identifier.doi | http://dx.doi.org/10.25646/6428 | |
dc.type.version | publishedVersion | none |
local.edoc.container-title | Frontiers in Microbiology | none |
local.edoc.type-name | Zeitschriftenartikel | |
local.edoc.container-type | periodical | |
local.edoc.container-type-name | Zeitschrift | |
local.edoc.container-url | https://www.frontiersin.org/articles/10.3389/fmicb.2019.01883/full | none |
local.edoc.container-publisher-name | Frontiers Media | none |
local.edoc.container-volume | 10 | none |
local.edoc.container-issue | 1883 | none |
local.edoc.container-year | 2019 | none |
local.edoc.container-firstpage | 1 | none |
local.edoc.container-lastpage | 20 | none |
local.edoc.rki-department | Methodenentwicklung und Forschungsinfrastruktur | none |
dc.description.version | Peer Reviewed | none |