Evidence map›Paper›PMID 36151488›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Use of Mutagenesis and Functional Screens to Characterize Essential Genes Involved in Lipopolysaccharide Transport.

Andrew Wilson, Carlos Iniguez, Natividad Ruiz

Open access · greenAbstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.1field-weighted citation impact, top 17% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Andrew WilsonDepartment of Microbiology, The Ohio State University, Columbus, OH, USA.
Carlos IniguezDepartment of Microbiology, The Ohio State University, Columbus, OH, USA.
Natividad RuizDepartment of Microbiology, The Ohio State University, Columbus, OH, USA. ruiz.82@osu.edu.
The Ohio State University · US

Funding

Envelope Biogenesis in Gram-negative BacteriaR01GM100951 · NIGMS · OHIO STATE UNIVERSITY · PI RUIZ, NATIVIDAD · 2012 to 2023
$3.7M
NIGMS NIH HHS R01 GM100951
6 · The paper itself

Abstract

Structure-function analysis is a powerful strategy to characterize the contribution of specific residues to the biogenesis and function of a protein. This approach requires the characterization of strains that express mutant alleles in the absence of the wild-type protein. When studying nonessential bacterial genes, collections of mutants can be easily constructed by introducing plasmid-encoded alleles of interest into a strain that already lacks the wild-type gene. However, this high-throughput approach is not applicable to studying essential genes since their respective null strains are not viable. While there are several tools currently available to modify essential genes, they can be greatly limited by the amount of effort it takes to build and analyze each mutant strain. Here, we describe a high-throughput system for the rapid structure-function analysis of essential genes involved in lipopolysaccharide transport in Escherichia coli. This method, which can be applied to study any essential gene, relies on the initial construction of a single bacterial strain that can be used to generate and functionally characterize multiple plasmid-encoded alleles in under 24 h. We will discuss the advantages and possible shortcomings of our protocol in comparison to other commonly used methods.

Indexed as

Genes, EssentialLipopolysaccharidesEscherichia coliGenes, BacterialMutagenesisPlasmidsLipopolysaccharidesEssential genesHigh-throughputLipopolysaccharide transportStructure-function analysis

Identifiers

PMID36151488
PMCPMC9630823
OpenAlexW4296868661

What OpenQuestion holds

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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.