Evidence map›Paper›PMID 38380648›Full record

ReviewACS chemical neuroscience2024

A Bright Future? A Perspective on Class C GPCR Based Genetically Encoded Biosensors.

Margulan Otanuly, Martin Kubitschke, Olivia Andrea Masseck

Abstract readReview
In one paragraph

Review in ACS chemical neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Margulan OtanulySynthetische Biologie, Universität Bremen, Bremen 28359, Germany.
Martin KubitschkeSynthetische Biologie, Universität Bremen, Bremen 28359, Germany.
Olivia Andrea MasseckSynthetische Biologie, Universität Bremen, Bremen 28359, Germany.ORCID 0000-0002-1541-2388

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the major challenges in molecular neuroscience today is to accurately monitor neurotransmitters, neuromodulators, peptides, and various other biomolecules in the brain with high temporal and spatial resolution. Only a comprehensive understanding of neuromodulator dynamics, their release probability, and spatial distribution will unravel their ultimate role in cognition and behavior. This Perspective offers an overview of potential design strategies for class C GPCR-based biosensors. It briefly highlights current applications of GPCR-based biosensors, with a primary focus on class C GPCRs and their unique structural characteristics compared with other GPCR subfamilies. The discussion offers insights into plausible future design approaches for biosensor development targeting members of this specific GPCR subfamily. It is important to note that, at this stage, we are contemplating possibilities rather than presenting a concrete guide, as the pipeline is still under development.

Indexed as

Biosensing TechniquesBrainCognitionReceptors, G-Protein-CoupledReceptors, G-Protein-Coupledbiosensorsclass C GPCRGPCR-based biosensorsMolecular neuroscienceneuromodulator dynamicsneurotransmitters

Identifiers

PMID38380648
PMCPMC10921406

What OpenQuestion holds

Textmetadata
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.