Evidence map›Paper›PMID 38941046›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2024

Analyzing the impact of T7L variants overexpression on the metabolic profile of Escherichia coli.

Manikyaprabhu Kairamkonda, Harshi Saxena, Khushboo Gulati, Krishna Mohan Poluri

Abstract read
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In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

4 authors.

Manikyaprabhu KairamkondaDepartment of Biosciences and Bioengineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, 247667, India.
Harshi SaxenaDepartment of Biosciences and Bioengineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, 247667, India.
Khushboo GulatiDepartment of Biosciences and Bioengineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, 247667, India.
Krishna Mohan PoluriDepartment of Biosciences and Bioengineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, 247667, India. krishna.poluri@bt.iitr.ac.in.

Funding

Science and Engineering Research Board CRG/2022/003028
6 · The paper itself

Abstract

introductionExploring metabolic changes within host E. coli through an untargeted metabolomic study of T7L variants overexpression to optimize engineered endolysins for clinical/therapeutic use. AIM AND

objectiveThis study aims to assess the impact of overexpressing T7L variants on the metabolic profiles of E. coli. The two variants considered include T7L-H37A, which has enhanced lytic activity compared to its wild-type protein, and T7L-H48K, a dead mutant with no significant activity.

methods

resultsOverexpression of the T7L wild-type (T7L-WT) protein and its variants (T7L-H48K and T7L-H37A) was compared to RNAP overexpression in E. coli cells using

conclusionsThis study uncovered distinct metabolic fingerprints when comparing the overexpression of active and inactive mutants of T7L lytic enzymes in E. coli cells. These findings could contribute to the optimization and enhancement of suitable endolysins as potential alternatives to antibiotics.

Indexed as

Escherichia coliMetabolomeMetabolomicsBacteriophage T7DNA-Directed RNA PolymerasesMutationViral ProteinsDNA-Directed RNA PolymerasesViral ProteinsEndolysinsHeterologous overexpressionMetabolic profilingNuclear magnetic resonance spectroscopyT7L variants, metabolomics

Identifiers

PMID38941046

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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.