Evidence map›Paper›PMID 37327078›Full record

ArticleJournal of industrial microbiology & biotechnology2023

Biosensor development for single-cell detection of glucuronate.

Jennifer Kaczmarek Nash, Kristala L J Prather

Abstract read
In one paragraph

Article in Journal of industrial microbiology & biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

2 authors.

Jennifer Kaczmarek NashDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139,USA.
Kristala L J PratherDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139,USA.ORCID 0000-0003-0437-3157

Funding

National Science Foundation 2116642
6 · The paper itself

Abstract

Recent work in biosensors has shown promise to enable high throughput searches through large genetic libraries. However, just as physiological limitations and lack of in-depth mechanistic knowledge can prevent us from achieving high titers in microbial systems; similar roadblocks can appear in the application of biosensors. Here, we characterized a previously developed transcription-factor (ExuR) based galacturonate biosensor for its other cognate ligand, glucuronate. Though we saw an ideal response to glucuronate from the biosensor in controlled and ideal experimental circumstances, these results began to deviate from a well-behaved system when we explored the application of the sensor to different MIOX homologs. Through modifications to circuit architecture and culture conditions, we were able to decrease this variation and use these more optimal conditions to apply the biosensor for the separation of two closely related MIOX homologs. ONE-SENTENCE SUMMARY: In this work, a transcription-factor biosensor was investigated for its potential to screen a library of myo -inositol oxygenase variants while seeking to mitigate the impact the production pathway appeared to have on the biosensor.

Indexed as

Biosensing TechniquesTranscription FactorsGene Expression RegulationGlucuronatesGlucuronic AcidInositol OxygenaseGlucuronatesGlucuronic AcidInositol OxygenaseTranscription FactorsBiosensorsDirected evolutionMetabolic engineeringMetabolite-responsive transcription factorSynthetic biology

Identifiers

PMID37327078
PMCPMC10294642

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.