Evidence map›Paper›PMID 41174674›Full record

ArticleJournal of biological engineering2025

Genetically encoded biosensor enabled mining, characterisation and engineering of aromatic acid MFS transporters.

Philip Le Roy, Micaela Chacόn, Neil Dixon

Abstract read
In one paragraph

Article in Journal of biological engineering, 2025. 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

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

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

3 authors.

Philip Le RoyManchester Institute of Biotechnology (MIB), Department of Chemistry, University of Manchester, Manchester, M1 7DN, UK.
Micaela ChacόnManchester Institute of Biotechnology (MIB), Department of Chemistry, University of Manchester, Manchester, M1 7DN, UK.
Neil DixonManchester Institute of Biotechnology (MIB), Department of Chemistry, University of Manchester, Manchester, M1 7DN, UK. neil.dixon@manchester.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Active transport of chemical species across the cell membrane represents a critical biological and biotechnological function, allowing the cell to selectively import compounds of nutritional value whilst exporting potentially toxic compounds. Major facilitator superfamily (MFS) transporters represent a ubiquitous class able to uptake and export an array of different chemical species. When designing biosynthetic pathways within microbial hosts, for production or remediation, transport is often critical to the efficiency of the resulting engineered strain. However, transport is a commonly neglected node for characterisation and engineering given difficulties in producing, purifying and assaying membrane transport proteins outside of their native environment. Here, using syntenic analysis and genetically encoded biosensors a library of 11 TphK and 10 PcaK homologs were screened for their ability to uptake the aromatic acids, protocatechuic acid and terephthalic acid. The structure activity relationships of the corresponding PcaK and TphK transporter-biosensor constructs, were then assessed with a library of aromatic acid effectors. Finally, the feasibility of protein engineering was assessed, by the creation of chimeric MFS transporter-biosensor constructs, revealing a degree of effector recognition plasticity and the modularity of core transmembrane domains. This study provides a library of validated TphK and PcaK homologs and demonstrates the value of employing genetically encoded biosensors in the characterisation and engineering of this important transport function.

Indexed as

Aromatic acid transportersBiosensorsMajor facilitator superfamilyProtocatechuic acidSyntenic analysisTerephthalic acid

Identifiers

PMID41174674
PMCPMC12577307

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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.