Evidence map›Paper›PMID 31690077›Full record

ArticleAnalytical chemistry2019

Comprehensive Profiling of Diverse Genetic Reporters with Application to Whole-Cell and Cell-Free Biosensors.

Antonia Lopreside, Xinyi Wan, Elisa Michelini, Aldo Roda, Baojun Wang

Abstract read
In one paragraph

Article in Analytical chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Programming Next-Generation Synthetic Biosensors by Genetic Circuit Design.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  5. Review
  6. Article
  7. Article
  8. Gene circuit-based sensors.Fundamental research · 2025
    Review
  9. Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Rapid and Finely-Tuned Expression for Deployable Sensing Applications.Advances in biochemical engineering/biotechnology · 2023
    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

5 authors.

Antonia LopresideDepartment of Chemistry "G. Ciamician", Alma Mater Studiorum , University of Bologna , 40126 Bologna , Italy.
Xinyi Wan
Elisa MicheliniDepartment of Chemistry "G. Ciamician", Alma Mater Studiorum , University of Bologna , 40126 Bologna , Italy.
Aldo RodaDepartment of Chemistry "G. Ciamician", Alma Mater Studiorum , University of Bologna , 40126 Bologna , Italy.

Funding

Biotechnology and Biological Sciences Research Council BB/N007212/1Medical Research Council MR/S018875/1Wellcome Trust 202078/Z/16/Z
6 · The paper itself

Abstract

Whole-cell and cell-free transcription-translation biosensors have recently become favorable alternatives to conventional detection methods, as they are cost-effective, environmental friendly, and easy to use. Importantly, the biological responses from the biosensors need to be converted into a physicochemical signal for easy detection, and a variety of genetic reporters have been employed for this purpose. Reporter gene selection is vital to a sensor performance and application success. However, it was largely based on trial and error with very few systematic side-by-side investigations reported. To address this bottleneck, here we compared eight reporters from three reporter categories, i.e., fluorescent (

Indexed as

Biosensing TechniquesAliivibrio fischeriEscherichia coliGenes, ReporterMercuryPhotorhabdusQuorum SensingMercury

Identifiers

PMID31690077
PMCPMC6899433

What OpenQuestion holds

Textmetadata
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.