Evidence map›Paper›PMID 35925780›Full record

ArticleACS chemical biology2022

A Modular Fluorescent Sensor Motif Used to Detect Opioids, Protein-Protein Interactions, and Protease Activity.

Kayla E Kroning, Mingcheng Li, Jiaqi Shen, Hailey Fiel, Manon Nassar, Wenjing Wang

Open access · greenAbstract read
In one paragraph

Article in ACS chemical biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.0field-weighted citation impact, top 25% of its field
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

12 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. A Fentanyl-Responsive Microneedle Patch for Harm Reduction.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  3. Article
  4. Article
  5. Protein Engineering for Spatiotemporally Resolved Cellular Monitoring.Annual review of analytical chemistry (Palo Alto, Calif.) · 2025
    Review
  6. Review
  7. Article
  8. Single-chain fluorescent integrators for mapping G-protein-coupled receptor agonists.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  9. Review
  10. Article
  11. Article
  12. Review
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 at 1 institution in 1 country.

Mingcheng Li
Jiaqi Shen
Manon Nassar
University of Michigan · US

Funding

A G-protein-coupled receptor-based sensor design platform for high throughput drug screeningF31MH129150 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KRONING, KAYLA ELIZABETH · 2022 to 2023
$60k
NIMH NIH HHS F31 MH129150
6 · The paper itself

Abstract

Modular fluorescent sensor motifs are needed to design fluorescent sensors for detecting various cellular processes and functional molecules. Here, we took advantage of the versatility of a new sensor motif to design a series of sensors called SPOTon. SPOTon sensors integrate the signal from either opioids, protein-protein interactions, or protease activities to generate persistent green fluorescence. We demonstrate that SPOTon can be engineered with temporal gating to allow detection of these cellular events during a user-defined time window, providing temporal information about cellular processes and functional molecule release. These SPOTon sensors all show a high signal-to-noise ratio, up to 38 for chemical gated opioid detection, 147 for chemical gated protein-protein interaction detection, and 85 for protease activity detection.

Indexed as

Analgesics, OpioidPeptide HydrolasesFluorescent DyesProteolysisAnalgesics, OpioidFluorescent DyesPeptide Hydrolases

Identifiers

PMID35925780
PMCPMC9918373
OpenAlexW4289843744

What OpenQuestion holds

Textmetadata
LicenceTDM
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.