Evidence map›Paper›PMID 34777770›Full record

ArticleChemical science2021

Genetically-targeted photorelease of endocannabinoids enables optical control of GPR55 in pancreatic β-cells.

Janelle M Tobias, Gabriela Rajic, Alexander E G Viray, David Icka-Araki, James A Frank

Open access · diamondAbstract read
In one paragraph

Article in Chemical science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

13 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Real-Time Optical Control of CB1 Receptor SignalingJournal of the American Chemical Society · 2025
    Article
  5. Lipid probes to study ion channels.Current opinion in chemical biology · 2025
    Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Chemical Tools for Lipid Cell Biology.Accounts of chemical research · 2023
    Article
  12. Article
  13. 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

5 authors at 1 institution in 1 country.

Janelle M TobiasVollum Institute, Oregon Health & Science University Portland OR USA frankja@ohsu.edu.ORCID https://orcid.org/0000-0003-1700-2646
Gabriela RajicVollum Institute, Oregon Health & Science University Portland OR USA frankja@ohsu.edu.
Alexander E G VirayVollum Institute, Oregon Health & Science University Portland OR USA frankja@ohsu.edu.ORCID https://orcid.org/0000-0003-4816-5990
David Icka-ArakiVollum Institute, Oregon Health & Science University Portland OR USA frankja@ohsu.edu.
James A FrankVollum Institute, Oregon Health & Science University Portland OR USA frankja@ohsu.edu.ORCID https://orcid.org/0000-0001-6705-2540
Oregon Health & Science University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fatty acid amides (FAAs) are a family of second-messenger lipids that target cannabinoid receptors, and are known mediators of glucose-stimulated insulin secretion from pancreatic β-cells. Due to the diversity observed in FAA structure and pharmacology, coupled with the expression of at least 3 different cannabinoid G protein-coupled receptors in primary and model β-cells, our understanding of their role is limited by our inability to control their actions in time and space. To investigate the mechanisms by which FAAs regulate β-cell excitability, we developed the Optically-Cleavable Targeted (OCT)-ligand approach, which combines the spatial resolution of self-labeling protein (SNAP-) tags with the temporal control of photocaged ligands. By linking a photocaged FAA to an

Identifiers

PMID34777770
PMCPMC8528030
OpenAlexW3199123561

What OpenQuestion holds

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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.