Evidence map›Paper›PMID 31474963›Full record

ArticleFrontiers in microbiology2019

A Robust and Universal Metaproteomics Workflow for Research Studies and Routine Diagnostics Within 24 h Using Phenol Extraction, FASP Digest, and the MetaProteomeAnalyzer.

Robert Heyer, Kay Schallert, Anja Büdel, Roman Zoun, Sebastian Dorl, Alexander Behne, Fabian Kohrs, Sebastian Püttker, Corina Siewert, Thilo Muth and 3 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

38 citing papers in PubMed.

  1. Multi-omics characterization of β-myrcene-evolvedFrontiers in molecular biosciences · 2026
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  15. Rapid Proteomic Characterization of Bacteriocin-ProducingInternational journal of molecular sciences · 2022
    Article
  16. Review
  17. Article
  18. Article
  19. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Robert HeyerBioprocess Engineering, Otto von Guericke University Magdeburg, Magdeburg, Germany.
Kay SchallertBioprocess Engineering, Otto von Guericke University Magdeburg, Magdeburg, Germany.
Anja BüdelBioprocess Engineering, Otto von Guericke University Magdeburg, Magdeburg, Germany.
Roman ZounDatabase Research Group, Otto von Guericke University Magdeburg, Magdeburg, Germany.
Sebastian DorlBioinformatics Research Group, University of Applied Sciences Upper Austria, Hagenberg, Austria.
Alexander BehneglyXera GmbH, Magdeburg, Germany.
Fabian KohrsBioprocess Engineering, Otto von Guericke University Magdeburg, Magdeburg, Germany.
Sebastian PüttkerBioprocess Engineering, Otto von Guericke University Magdeburg, Magdeburg, Germany.
Corina SiewertBioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg, Magdeburg, Germany.
Thilo MuthBioinformatics Unit (MF 1), Department for Methods Development and Research Infrastructure, Robert Koch Institute, Berlin, Germany.
Gunter SaakeDatabase Research Group, Otto von Guericke University Magdeburg, Magdeburg, Germany.
Udo ReichlBioprocess Engineering, Otto von Guericke University Magdeburg, Magdeburg, Germany.
Dirk BenndorfBioprocess Engineering, Otto von Guericke University Magdeburg, Magdeburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

bioinformaticsenvironmental proteomicsgut microbiomemass spectrometrymicrobial communitiessample preparationsoftware

Identifiers

PMID31474963
PMCPMC6707425

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.