Evidence map›Paper›PMID 39333077›Full record

ArticleNature communications2024

A versatile microbial platform as a tunable whole-cell chemical sensor.

Javier M Hernández-Sancho, Arnaud Boudigou, Maria V G Alván-Vargas, Dekel Freund, Jenny Arnling Bååth, Peter Westh, Kenneth Jensen, Lianet Noda-García, Daniel C Volke, Pablo I Nikel

Abstract read
In one paragraph

Article in Nature communications, 2024. 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. Review
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  5. Review
  6. Article
  7. Article
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  9. Article
  10. Article
  11. Review
  12. Article
  13. Synthetic CmBio · 2025
    Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Leveraging EngineeredACS synthetic biology · 2025
    Article
  19. Review
  20. 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

10 authors.

Javier M Hernández-SanchoThe Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby, Denmark.
Arnaud BoudigouThe Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby, Denmark.
Maria V G Alván-VargasThe Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby, Denmark.
Dekel FreundInstitute of Environmental Sciences, Robert H. Smith Faculty of Agriculture, Food and Environment, Hebrew University of Jerusalem, Rehovot, Israel.
Jenny Arnling BååthDepartment of Biotechnology and Biomedicine Interfacial Enzymology, Technical University of Denmark, Kongens Lyngby, Denmark.
Peter WesthDepartment of Biotechnology and Biomedicine Interfacial Enzymology, Technical University of Denmark, Kongens Lyngby, Denmark.
Kenneth JensenNovonesis A/S, Kongens Lyngby, Denmark.
Lianet Noda-GarcíaInstitute of Environmental Sciences, Robert H. Smith Faculty of Agriculture, Food and Environment, Hebrew University of Jerusalem, Rehovot, Israel.
Daniel C VolkeThe Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby, Denmark. chdavo@biosustain.dtu.dk.
Pablo I NikelThe Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby, Denmark. pabnik@biosustain.dtu.dk.ORCID 0000-0002-9313-7481

Funding

Novo Nordisk Fonden (Novo Nordisk Foundation) NNF10CC1016517Novo Nordisk Fonden (Novo Nordisk Foundation) NNF18CC0033664Novo Nordisk Fonden (Novo Nordisk Foundation) NNF23OC0083631
6 · The paper itself

Abstract

Biosensors are used to detect and quantify chemicals produced in industrial microbiology with high specificity, sensitivity, and portability. Most biosensors, however, are limited by the need for transcription factors engineered to recognize specific molecules. In this study, we overcome the limitations typically associated with traditional biosensors by engineering Pseudomonas putida for whole-cell sensing of a variety of chemicals. Our approach integrates fluorescent reporters with synthetic auxotrophies within central metabolism that can be complemented by target analytes in growth-coupled setups. This platform enables the detection of a wide array of structurally diverse chemicals under various conditions, including co-cultures of producer cell factories and sensor strains. We also demonstrate the applicability of this versatile biosensor platform for monitoring complex biochemical processes, including plastic degradation by either purified hydrolytic enzymes or engineered bacteria. This microbial system provides a rapid, sensitive, and readily adaptable tool for monitoring cell factory performance and for environmental analyzes.

Indexed as

Biosensing TechniquesPseudomonas putidaBacterial ProteinsBacterial Proteins

Identifiers

PMID39333077
PMCPMC11436707

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.