Evidence map›Paper›PMID 39155113›Full record

ArticleMethods in enzymology2024

Linking biosynthetic genes to natural products using inverse stable isotopic labeling (InverSIL).

Tashi C E Liebergesell, Aaron W Puri

Abstract read
In one paragraph

Article in Methods in enzymology, 2024. 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
  2. Review
  3. 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

2 authors.

Tashi C E LiebergesellDepartment of Chemistry and the Henry Eyring Center for Cell and Genome Science, University of Utah, Salt Lake City, UT, United States.
Aaron W PuriDepartment of Chemistry and the Henry Eyring Center for Cell and Genome Science, University of Utah, Salt Lake City, UT, United States. Electronic address: a.puri@utah.edu.

Funding

Methylotrophs: underexplored bacteria for discovering novel natural products and biochemistryR35GM147018 · NIGMS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Aaron Webster Puri · 2022 to 2026
$1.9M
Program for Interdisciplinary Training in CHemical BiologyT32GM122740 · NIGMS · UNIVERSITY OF UTAH · PI KAY, MICHAEL S · 2018 to 2022
$932k
NIGMS NIH HHS R35 GM147018NIGMS NIH HHS T32 GM122740
6 · The paper itself

Abstract

The sequencing of microbial genomes has far outpaced their functional annotation. Stable isotopic labeling can be used to link biosynthetic genes with their natural products; however, the availability of the required isotopically substituted precursors can limit the accessibility of this approach. Here, we describe a method for using inverse stable isotopic labeling (InverSIL) to link biosynthetic genes with their natural products. With InverSIL, a microbe is grown on an isotopically substituted medium to create a fully substituted culture, and subsequently, the incorporation of precursors of natural isotopic abundance can be tracked by mass spectrometry. This eliminates issues with isotopically substituted precursor availability. We demonstrate the utility of this approach by linking a luxI-type acyl-homoserine lactone synthase gene in a bacterium that grows on methanol with its quorum sensing signal products. In the future, InverSIL can also be used to link biosynthetic gene clusters hypothesized to produce siderophores with their natural products.

Indexed as

Biological ProductsIsotope LabelingBacterial ProteinsBiosynthetic PathwaysCarbon IsotopesMass SpectrometryMultigene FamilyQuorum SensingBacterial ProteinsBiological ProductsCarbon IsotopesGene-to-moleculeInverse stable isotopic labelingInverSILMetabolomicsMethylotrophQuorum sensingStable isotope

Identifiers

PMID39155113
PMCPMC12094128

What OpenQuestion holds

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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.