Evidence map›Paper›PMID 30467500›Full record

ReviewFrontiers in microbiology2018

Programming Bacteria With Light-Sensors and Applications in Synthetic Biology.

Zedao Liu, Jizhong Zhang, Jiao Jin, Zilong Geng, Qingsheng Qi, Quanfeng Liang

Abstract readReview
In one paragraph

Review in Frontiers in microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Light Control in Microbial Systems.International journal of molecular sciences · 2024
    Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Platforms for Optogenetic Stimulation and Feedback Control.Frontiers in bioengineering and biotechnology · 2022
    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

6 authors.

Zedao LiuState Key Laboratory of Microbial Technology, Shandong University, Jinan, China.
Jizhong ZhangState Key Laboratory of Microbial Technology, Shandong University, Jinan, China.
Jiao JinState Key Laboratory of Microbial Technology, Shandong University, Jinan, China.
Zilong GengState Key Laboratory of Microbial Technology, Shandong University, Jinan, China.
Qingsheng QiState Key Laboratory of Microbial Technology, Shandong University, Jinan, China.
Quanfeng LiangState Key Laboratory of Microbial Technology, Shandong University, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photo-receptors are widely present in both prokaryotic and eukaryotic cells, which serves as the foundation of tuning cell behaviors with light. While practices in eukaryotic cells have been relatively established, trials in bacterial cells have only been emerging in the past few years. A number of light sensors have been engineered in bacteria cells and most of them fall into the categories of two-component and one-component systems. Such a sensor toolbox has enabled practices in controlling synthetic circuits at the level of transcription and protein activity which is a major topic in synthetic biology, according to the central dogma. Additionally, engineered light sensors and practices of tuning synthetic circuits have served as a foundation for achieving light based real-time feedback control. Here, we review programming bacteria cells with light, introducing engineered light sensors in bacteria and their applications, including tuning synthetic circuits and achieving feedback controls over microbial cell culture.

Indexed as

feedback controlgenetic circuitslight-sensorsoptogeneticssynthetic biology

Identifiers

PMID30467500
PMCPMC6236058

What OpenQuestion holds

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LicenceCC BY
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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.