Evidence map›Paper›PMID 28771944›Full record

ReviewMicrobial biotechnology2017

Microbially derived biosensors for diagnosis, monitoring and epidemiology.

Hung-Ju Chang, Peter L Voyvodic, Ana Zúñiga, Jérôme Bonnet

Abstract readReview
In one paragraph

Review in Microbial biotechnology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Engineered Bacteria as Living Biosensors in Dermal Tattoos.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Cell-Free Biosensors and AI Integration.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Review
  17. Detecting Changes in theACS synthetic biology · 2019
    Article
  18. Article
  19. Review
  20. The DIY Digital Medical Centre.Microbial biotechnology · 2017
    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

4 authors.

Hung-Ju ChangCentre de Biochimie Structurale, INSERM U1054, CNRS UMR5048, University of Montpellier, Montpellier, France.
Peter L VoyvodicCentre de Biochimie Structurale, INSERM U1054, CNRS UMR5048, University of Montpellier, Montpellier, France.
Ana ZúñigaCentre de Biochimie Structurale, INSERM U1054, CNRS UMR5048, University of Montpellier, Montpellier, France.
Jérôme BonnetCentre de Biochimie Structurale, INSERM U1054, CNRS UMR5048, University of Montpellier, Montpellier, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Living cells have evolved to detect and process various signals and can self-replicate, presenting an attractive platform for engineering scalable and affordable biosensing devices. Microbes are perfect candidates: they are inexpensive and easy to manipulate and store. Recent advances in synthetic biology promise to streamline the engineering of microbial biosensors with unprecedented capabilities. Here we review the applications of microbially-derived biosensors with a focus on environmental monitoring and healthcare applications. We also identify critical challenges that need to be addressed in order to translate the potential of synthetic microbial biosensors into large-scale, real-world applications.

Indexed as

Epidemiologic MethodsBiosensing TechniquesEnvironmental MonitoringEpidemiologyHumans

Identifiers

PMID28771944
PMCPMC5609271

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.