Evidence map›Paper›PMID 34480129›Full record

ReviewNature protocols2021

An LC-MS/MS assay and complementary web-based tool to quantify and predict compound accumulation in E. coli.

Emily J Geddes, Zhong Li, Paul J Hergenrother

Open access · greenAbstract readReview
In one paragraph

Review in Nature protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
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

35 citing papers in PubMed, 60 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Emily J GeddesRoger Adams Laboratory, Department of Chemistry, University of Illinois, Urbana, IL, USA.
Zhong LiMetabolomics Lab, Roy J. Carver Biotechnology Center, University of Illinois, Urbana, IL, USA.
Paul J HergenrotherRoger Adams Laboratory, Department of Chemistry, University of Illinois, Urbana, IL, USA. hergenro@illinois.edu.ORCID http://orcid.org/0000-0001-9018-3581
University of Illinois Urbana-Champaign · US

Funding

Predictive Guidelines for Penetrance and Discovery of Broad-Spectrum AntibioticsR01AI136773 · NIAID · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI HERGENROTHER, PAUL · 2018 to 2022
$6.0M
NIAID NIH HHS R01 AI136773
6 · The paper itself

Abstract

Novel classes of broad-spectrum antibiotics have been extremely difficult to discover, largely due to the impermeability of the Gram-negative membranes coupled with a poor understanding of the physicochemical properties a compound should possess to promote its accumulation inside the cell. To address this challenge, numerous methodologies for assessing intracellular compound accumulation in Gram-negative bacteria have been established, including classic radiometric and fluorescence-based methods. The recent development of accumulation assays that utilize liquid chromatography-tandem mass spectrometry (LC-MS/MS) have circumvented the requirement for labeled compounds, enabling assessment of a substantially broader range of small molecules. Our unbiased study of accumulation trends in Escherichia coli using an LC-MS/MS-based assay led to the development of the eNTRy rules, which stipulate that a compound is most likely to accumulate in E. coli if it has an ionizable Nitrogen, has low Three-dimensionality and is relatively Rigid. To aid in the implementation of the eNTRy rules, we developed a complementary web tool, eNTRyway, which calculates relevant properties and predicts compound accumulation. Here we provide a comprehensive protocol for analysis and prediction of intracellular accumulation of small molecules in E. coli using an LC-MS/MS-based assay (which takes ~2 d) and eNTRyway, a workflow that is readily adoptable by any microbiology, biochemistry or chemical biology laboratory.

Indexed as

Anti-Bacterial AgentsEscherichia coliTandem Mass SpectrometryChromatography, LiquidInternetAnti-Bacterial Agents

Identifiers

PMID34480129
PMCPMC8715754
OpenAlexW3196833316

What OpenQuestion holds

Textmetadata
LicenceTDM
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.