Evidence map›Paper›PMID 33493842›Full record

ReviewCurrent opinion in biotechnology2021

Transcription factor-based biosensors: a molecular-guided approach for natural product engineering.

Melissa M Mitchler, Jessie M Garcia, Nichole E Montero, Gavin J Williams

Abstract readReview
In one paragraph

Review in Current opinion in biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

  1. Review
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  10. Advancing lignocellulosic conversion though biosensor-enabled metabolic engineering.Green chemistry : an international journal and green chemistry resource : GC · 2025
    Review
  11. Article
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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.

Melissa M MitchlerDepartment of Chemistry, NC State University, Raleigh, NC 27695, United States.
Jessie M GarciaDepartment of Chemistry, NC State University, Raleigh, NC 27695, United States.
Nichole E MonteroDepartment of Chemistry, NC State University, Raleigh, NC 27695, United States.
Gavin J WilliamsDepartment of Chemistry, NC State University, Raleigh, NC 27695, United States; Comparative Medicine Institute, NC State University, Raleigh, NC 27695, United States. Electronic address: gjwillia@ncsu.edu.

Funding

Molecular Biotechnology Training at North Carolina State UniversityT32GM008776 · NIGMS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI KELLY, ROBERT M · 2000 to 2019
$3.9M
NC STATE MOLECULAR BIOTECHNOLOGY TRAINING PROGRAM (MBTP)T32GM133366 · NIGMS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI Jason M. Haugh, Robert M Kelly · 2020 to 2026
$3.3M
Designer biosensors for directed evolution of macrolide biosynthetic enzymesR01GM124112 · NIGMS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI CROPP, THOMAS ASHTON, WILLIAMS, GAVIN J · 2018 to 2021
$1.1M
NIGMS NIH HHS R01 GM124112NIGMS NIH HHS T32 GM008776NIGMS NIH HHS T32 GM133366
6 · The paper itself

Abstract

Natural products and their derivatives offer a rich source of chemical and biological diversity; however, traditional engineering of their biosynthetic pathways to improve yields and access to unnatural derivatives requires a precise understanding of their enzymatic processes. High-throughput screening platforms based on allosteric transcription-factor based biosensors can be leveraged to overcome the screening bottleneck to enable searching through large libraries of pathway/strain variants. Herein, the development and application of engineered allosteric transcription factor-based biosensors is described that enable optimization of precursor availability, product titers, and downstream product tailoring for advancing the natural product bioeconomy. We discuss recent successes for tailoring biosensor design, including computationally-based approaches, and present our future outlook with the integration of cell-free technologies and de novo protein design for rapidly generating biosensor tools.

Indexed as

Biological ProductsBiosensing TechniquesBiosynthetic PathwaysHigh-Throughput Screening AssaysMetabolic EngineeringTranscription FactorsBiological ProductsTranscription Factors

Identifiers

PMID33493842
PMCPMC8238798

What OpenQuestion holds

Textmetadata
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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.