Evidence map›Paper›PMID 37938742›Full record

ArticleISME communications2022

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

Sami Pietilä, Tomi Suomi, Laura L Elo

Abstract read
In one paragraph

Article in ISME communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
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  18. Review
  19. Assessing the Dark Field of Metaproteome.Analytical chemistry · 2022
    Article
  20. Article
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

3 authors.

Sami Pietilä *Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520, Turku, Finland.ORCID http://orcid.org/0000-0002-3825-0967
Tomi Suomi *Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520, Turku, Finland.ORCID http://orcid.org/0000-0003-3639-979X
Laura L EloTurku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520, Turku, Finland. laura.elo@utu.fi.ORCID http://orcid.org/0000-0001-5648-4532

Funding

Academy of Finland (Suomen Akatemia) 296801, 304995, 310561, 314443, 329278, 335434, 335611, 341342
6 · The paper itself

Abstract

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.

Identifiers

PMID37938742
PMCPMC9723653

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Registered trials

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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.