Evidence map›Paper›PMID 38821978›Full record

ArticleScientific reports2024

Fluorescent riboswitch-controlled biosensors for the genome scale analysis of metabolic pathways.

A Michaud, D Garneau, J-P Côté, D A Lafontaine

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
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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

4 authors.

A MichaudDepartment of Biology, Faculty of Science, RNA Group, Université de Sherbrooke, Sherbrooke, QC, J1K 2R1, Canada.
D GarneauDepartment of Biology, Faculty of Science, RNA Group, Université de Sherbrooke, Sherbrooke, QC, J1K 2R1, Canada.
J-P CôtéDepartment of Biology, Faculty of Science, RNA Group, Université de Sherbrooke, Sherbrooke, QC, J1K 2R1, Canada.
D A LafontaineDepartment of Biology, Faculty of Science, RNA Group, Université de Sherbrooke, Sherbrooke, QC, J1K 2R1, Canada. daniel.lafontaine@usherbrooke.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fluorescent detection in cells has been tremendously developed over the years and now benefits from a large array of reporters that can provide sensitive and specific detection in real time. However, the intracellular monitoring of metabolite levels still poses great challenges due to the often complex nature of detected metabolites. Here, we provide a systematic analysis of thiamin pyrophosphate (TPP) metabolism in Escherichia coli by using a TPP-sensing riboswitch that controls the expression of the fluorescent gfp reporter. By comparing different combinations of reporter fusions and TPP-sensing riboswitches, we determine key elements that are associated with strong TPP-dependent sensing. Furthermore, by using the Keio collection as a proxy for growth conditions differing in TPP levels, we perform a high-throughput screen analysis using high-density solid agar plates. Our study reveals several genes whose deletion leads to increased or decreased TPP levels. The approach developed here could be applicable to other riboswitches and reporter genes, thus representing a framework onto which further development could lead to highly sophisticated detection platforms allowing metabolic screens and identification of orphan riboswitches.

Indexed as

Biosensing TechniquesEscherichia coliMetabolic Networks and PathwaysRiboswitchThiamine PyrophosphateGene Expression Regulation, BacterialGenes, ReporterGenome, BacterialGreen Fluorescent ProteinsGreen Fluorescent ProteinsRiboswitchThiamine PyrophosphateGreen fluorescent proteinMetabolic pathwayRiboswitchThiamin pyrophosphate

Identifiers

PMID38821978
PMCPMC11143247

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.