Evidence map›Paper›PMID 28950701›Full record

ArticleACS synthetic biology2018

Development of Transcription Factor-Based Designer Macrolide Biosensors for Metabolic Engineering and Synthetic Biology.

Christian M Kasey, Mounir Zerrad, Yiwei Li, T Ashton Cropp, Gavin J Williams

Open access · greenAbstract read
In one paragraph

Article in ACS synthetic biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
6.9field-weighted citation impact, top 2% of its field
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

47 citing papers in PubMed, 95 citations in OpenAlex.

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  16. Biosensor development for single-cell detection of glucuronate.Journal of industrial microbiology & biotechnology · 2023
    Article
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  18. Frontiers in plant science · 2023
    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

5 authors at 2 institutions in 1 country.

Christian M KaseyDepartment of Chemistry, NC State University , Raleigh, North Carolina 27695, United States.
Mounir ZerradDepartment of Chemistry, NC State University , Raleigh, North Carolina 27695, United States.
Yiwei LiDepartment of Chemistry, NC State University , Raleigh, North Carolina 27695, United States.
T Ashton CroppDepartment of Chemistry, Virginia Commonwealth University , Richmond, Virginia 23284, United States.
Gavin J WilliamsDepartment of Chemistry, NC State University , Raleigh, North Carolina 27695, United States.ORCID 0000-0003-2172-9063
North Carolina State University · USVirginia Commonwealth University · US

Funding

Synthetic Biology Approach to Regioselectively Modified PolyketidesR01GM104258 · NIGMS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI WILLIAMS, GAVIN J · 2013 to 2017
$1.4M
NIGMS NIH HHS R01 GM104258
6 · The paper itself

Abstract

Macrolides are a large group of natural products that display broad and potent biological activities and are biosynthesized by type I polyketide synthases (PKSs) and associated enzymatic machinery. There is an urgent need to access macrolides and unnatural macrolide derivatives for drug discovery, drug manufacture, and probe development. Typically, efforts to engineer the biosynthesis of macrolides and macrolide analogues in various microbial hosts are hampered by the complexity of macrolide biosynthetic pathways and our limited ability to rationally reprogram type I PKSs and post-PKS machinery. High-throughput approaches based on synthetic biology and directed evolution could overcome this problem by testing the function of large libraries of variants. Yet, methods that can identify mutant enzymes, pathways, and strains that produce the desired macrolide target are not generally available. Here we show that the promiscuous macrolide sensing transcription factor MphR is a powerful platform for engineering variants with tailored properties. We identified variants that displayed improved sensitivity toward erythromycin, tailored the inducer specificity, and significantly improved sensitivity to macrolides that were very poor inducers of the wild-type MphR biosensor. Designer macrolide biosensors should find broad utility and enable applications related to high-throughput synthetic biology and directed evolution of macrolide biosynthesis.

Indexed as

Biosensing TechniquesMetabolic EngineeringActinobacteriaBinding SitesDirected Molecular EvolutionErythromycinLigandsMacrolidesMolecular Dynamics SimulationMutagenesisProtein Structure, TertiarySynthetic BiologyTranscription FactorsErythromycinLigandsMacrolidesTranscription Factors

Identifiers

PMID28950701
PMCPMC6400638
OpenAlexW2757726369

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.