Evidence map›Paper›PMID 27941785›Full record

ArticleNature methods2017

Nontargeted in vitro metabolomics for high-throughput identification of novel enzymes in Escherichia coli.

Daniel C Sévin, Tobias Fuhrer, Nicola Zamboni, Uwe Sauer

Abstract read
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In one paragraph

Article in Nature methods, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing 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

65 citing papers in PubMed.

  1. Review
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  10. Activating the d-Tagatose Production Capacity ofJournal of agricultural and food chemistry · 2025
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  13. Review
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  17. Systematic Engineering ofACS omega · 2024
    Article
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  20. Article

5 more citing papers are in PubMed but not listed here.

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

4 authors.

Daniel C SévinInstitute of Molecular Systems Biology, ETH Zürich, Zürich, Switzerland.
Tobias FuhrerInstitute of Molecular Systems Biology, ETH Zürich, Zürich, Switzerland.ORCID 0000-0001-5006-6874
Nicola ZamboniInstitute of Molecular Systems Biology, ETH Zürich, Zürich, Switzerland.ORCID 0000-0003-1271-1021
Uwe SauerInstitute of Molecular Systems Biology, ETH Zürich, Zürich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our understanding of metabolism is limited by a lack of knowledge about the functions of many enzymes. Here, we develop a high-throughput mass spectrometry approach to comprehensively profile proteins for in vitro enzymatic activity. Overexpressed or purified proteins are incubated in a supplemented metabolome extract containing hundreds of biologically relevant candidate substrates, and accumulating and depleting metabolites are determined by nontargeted mass spectrometry. By combining chemometrics and database approaches, we established an automated pipeline for unbiased annotation of the functions of novel enzymes. In screening all 1,275 functionally uncharacterized Escherichia coli proteins, we discovered 241 potential novel enzymes, 12 of which we experimentally validated. Our high-throughput in vitro metabolomics method is generally applicable to any purified protein or crude cell lysate of its overexpression host and enables performing up to 1,200 nontargeted enzyme assays per working day.

Indexed as

Batch Cell Culture TechniquesEnzymesEscherichia coliEscherichia coli ProteinsHigh-Throughput Screening AssaysMass SpectrometryMetabolomicsReproducibility of ResultsEnzymesEscherichia coli Proteins

Identifiers

PMID27941785

What OpenQuestion holds

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Read underepoch 390

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.