Evidence map›Paper›PMID 42305118›Full record

ReviewFrontiers in molecular neuroscience2026

Decoding GPCR signaling in living cells to advance early therapeutic discovery for neurological disorders.

Giulia Palladino, Rafael Patarra, Zhenke Li, Moritz J Rossner, Michael C Wehr

Abstract readReview
In one paragraph

Review in Frontiers in molecular neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Giulia Palladino *Systasy Bioscience GmbH, Planegg, Germany.
Rafael Patarra *Systasy Bioscience GmbH, Planegg, Germany.
Zhenke LiResearch Group Cell Signalling, Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany.
Moritz J RossnerSystasy Bioscience GmbH, Planegg, Germany.
Michael C WehrSystasy Bioscience GmbH, Planegg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

G protein-coupled receptors (GPCRs) are major drug targets for neurodegenerative, neurodevelopmental and psychiatric disorders and are targeted by a multitude of marketed drugs. Typically, multiple GPCRs are involved in diseases of this type, making precise modulation of these receptors crucial for beneficial responses in patients. In addition, the regulation of GPCRs by ligands and the concomitant modulation of physiological signaling pathways are highly fine-tuned. Considering these complex roles, the molecular understanding of GPCR biology has advanced considerably in recent years for these disorders. Likewise, recent developments in multiplexed cell-based assays that measure GPCR activities and downstream effects have substantially expanded the tools available for early drug discovery. In this review, we highlight the impact of GPCRs on these complex neurological disorders and review the current state of multiplexed, barcoded assays that can be used to screen for and validate GPCR-modulating compounds in living cells. These multiplexed assays enable rigorous assessment of drug selectivity across on- and off-target profiles, including within closely related GPCR subfamilies, while simultaneously capturing relevant systemic pathway responses. We therefore propose that the widespread use of this technology has the potential to substantially accelerate and de-risk GPCR-targeted drug development.

Indexed as

barcoded reporterscell-based assayGPCRmultiplexed assaysneurodegenerative disordersneurodevelopmental disorderspsychiatric disorderssafety profiling

Identifiers

PMID42305118
PMCPMC13265478

What OpenQuestion holds

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Registered trials

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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.