Evidence map›Paper›PMID 36814719›Full record

ReviewFrontiers in bioengineering and biotechnology2023

Transcription factor-based biosensors for screening and dynamic regulation.

Jonathan Tellechea-Luzardo, Martin T Stiebritz, Pablo Carbonell

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in bioengineering and biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
8.8field-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

31 citing papers in PubMed, 57 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Bacteria as living biosensors for DNA.Nature reviews bioengineering · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Genetically Encoded Control ofACS synthetic biology · 2025
    Article
  9. Before LUCA: unearthing the chemical roots of metabolism.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Article
  10. Review
  11. Advancing lignocellulosic conversion though biosensor-enabled metabolic engineering.Green chemistry : an international journal and green chemistry resource : GC · 2025
    Review
  12. Article
  13. Article
  14. Review
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Development of anBiosensors · 2024
    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 at 2 institutions in 1 country.

Jonathan Tellechea-LuzardoInstitute of Industrial Control Systems and Computing (AI2), Universitat Politècnica de València (UPV), Valencia, Spain.
Martin T StiebritzInstitute of Industrial Control Systems and Computing (AI2), Universitat Politècnica de València (UPV), Valencia, Spain.
Pablo CarbonellInstitute of Industrial Control Systems and Computing (AI2), Universitat Politècnica de València (UPV), Valencia, Spain.
Universitat Politècnica de València · ESUniversitat de València · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in synthetic biology and genetic engineering are bringing into the spotlight a wide range of bio-based applications that demand better sensing and control of biological behaviours. Transcription factor (TF)-based biosensors are promising tools that can be used to detect several types of chemical compounds and elicit a response according to the desired application. However, the wider use of this type of device is still hindered by several challenges, which can be addressed by increasing the current metabolite-activated transcription factor knowledge base, developing better methods to identify new transcription factors, and improving the overall workflow for the design of novel biosensor circuits. These improvements are particularly important in the bioproduction field, where researchers need better biosensor-based approaches for screening production-strains and precise dynamic regulation strategies. In this work, we summarize what is currently known about transcription factor-based biosensors, discuss recent experimental and computational approaches targeted at their modification and improvement, and suggest possible future research directions based on two applications: bioproduction screening and dynamic regulation of genetic circuits.

Indexed as

allosteric transcription factorsbiosensorsdynamic regulationmetabolic engineeringscreening

Identifiers

PMID36814719
PMCPMC9939652
OpenAlexW4319321618

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.