Evidence map›Paper›PMID 34242379›Full record

ArticlePloS one2021

Coupling proteomics and metabolomics for the unsupervised identification of protein-metabolite interactions in Chaetomium thermophilum.

Yuanyue Li, Michael Kuhn, Joanna Zukowska-Kasprzyk, Marco L Hennrich, Panagiotis L Kastritis, Francis J O'Reilly, Prasad Phapale, Martin Beck, Anne-Claude Gavin, Peer Bork

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  6. Advances in the Clinical Application of High-throughput Proteomics.Exploratory research and hypothesis in medicine
    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

10 authors.

Yuanyue LiStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.
Michael KuhnStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID 0000-0002-2841-872X
Joanna Zukowska-KasprzykStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.
Marco L HennrichStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.
Panagiotis L KastritisStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID 0000-0002-9487-597X
Francis J O'ReillyStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID 0000-0001-9258-0150
Prasad PhapaleMetabolomics Core Facility, European Molecular Biology Laboratory, Heidelberg, Germany.
Martin BeckStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.
Anne-Claude GavinStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.
Peer BorkStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein-metabolite interactions play an important role in the cell's metabolism and many methods have been developed to screen them in vitro. However, few methods can be applied at a large scale and not alter biological state. Here we describe a proteometabolomic approach, using chromatography to generate cell fractions which are then analyzed with mass spectrometry for both protein and metabolite identification. Integrating the proteomic and metabolomic analyses makes it possible to identify protein-bound metabolites. Applying the concept to the thermophilic fungus Chaetomium thermophilum, we predict 461 likely protein-metabolite interactions, most of them novel. As a proof of principle, we experimentally validate a predicted interaction between the ribosome and isopentenyl adenine.

Indexed as

ChaetomiumChromatographyMass SpectrometryMetabolomicsProteomics

Identifiers

PMID34242379
PMCPMC8270407

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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.