Evidence map›Paper›PMID 36296141›Full record

ReviewMicromachines2022

Developments in FRET- and BRET-Based Biosensors.

Yuexin Wu, Tianyu Jiang

Abstract readReview
In one paragraph

Review in Micromachines, 2022. 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
  2. Article
  3. Article
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  5. Target Engagement Assays in Early Drug Discovery.Journal of medicinal chemistry · 2025
    Review
  6. Identification of novel small molecule chaperone activators for neurodegenerative disease treatment.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2025
    Article
  7. Protein Engineering for Spatiotemporally Resolved Cellular Monitoring.Annual review of analytical chemistry (Palo Alto, Calif.) · 2025
    Review
  8. Research on Flexible Sensors for Wearable Devices: A Review.Nanomaterials (Basel, Switzerland) · 2025
    Review
  9. Review
  10. Review
  11. Review
  12. Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Review
  18. Article
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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

2 authors.

Yuexin WuSchool of Life Sciences, Peking University, Beijing 100871, China.ORCID 0000-0001-9379-963X
Tianyu JiangShenzhen Research Institute of Shandong University, Shenzhen 518000, China.ORCID 0000-0002-9013-5165

Funding

Guangdong Basic and Applied Basic Research Foundation 2020A1515110284Shandong Provincial Natural Science Foundation ZR2020QB158
6 · The paper itself

Abstract

Resonance energy transfer technologies have achieved great success in the field of analysis. Particularly, fluorescence resonance energy transfer (FRET) and bioluminescence resonance energy transfer (BRET) provide strategies to design tools for sensing molecules and monitoring biological processes, which promote the development of biosensors. Here, we provide an overview of recent progress on FRET- and BRET-based biosensors and their roles in biomedicine, environmental applications, and synthetic biology. This review highlights FRET- and BRET-based biosensors and gives examples of their applications with their design strategies. The limitations of their applications and the future directions of their development are also discussed.

Indexed as

bioluminescence resonance energy transfer (BRET)biosensorsfluorescence resonance energy transfer (FRET)imagingimmunosensorsnanosensorswhole-cell sensors

Identifiers

PMID36296141
PMCPMC9610962

What OpenQuestion holds

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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.