Evidence map›Paper›PMID 39068343›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Development of an Haa1-Based Biosensor for Acetic Acid Sensing in Saccharomyces cerevisiae.

Elin Blick, Maurizio Mormino, Verena Siewers, Yvonne Nygård

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 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

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. Review
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.

Elin BlickDepartment of Life Sciences, Industrial Biotechnology, Chalmers University of Technology, Gothenburg, Sweden.
Maurizio MorminoDepartment of Life Sciences, Industrial Biotechnology, Chalmers University of Technology, Gothenburg, Sweden.
Verena SiewersDepartment of Life Sciences, Systems and Synthetic Biology, Chalmers University of Technology, Gothenburg, Sweden.
Yvonne NygårdDepartment of Life Sciences, Industrial Biotechnology, Chalmers University of Technology, Gothenburg, Sweden. yvonne.nygard@chalmers.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcription factor (TF)-based biosensors are important tools in strain development and screening as they can allow accurate monitoring of intracellular concentrations of a molecule. Acetic acid is one of the main inhibitors in lignocellulosic biomass and a major challenge when using yeast cell factories for biorefinery applications. Thus, developing acetic acid tolerant strains is of great importance. The acetic acid sensing biosensor developed relies on the endogenous Saccharomyces cerevisiae TF Haa1 that upon binding of acetic acid translocates to the nucleus. The acetic acid biosensor can be used as a tool for strain development and evaluation, as well as for screening of acetic acid-producing strains and for dynamic monitoring of acetic acid accumulation. This chapter describes a methodology for developing a TF-based biosensor for acetic acid sensing. Protocols for design considerations, part construction, and characterization procedures are included. The approach can potentially be adapted to any molecule where a suitable TF can be identified.

Indexed as

Acetic AcidBiosensing TechniquesSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsTranscription FactorsAcetic AcidHaa1 protein, S cerevisiaeSaccharomyces cerevisiae ProteinsTranscription FactorsAcetic acidBiosensorHaa1Synthetic promoterSynthetic transcription factor

Identifiers

PMID39068343

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.