Evidence map›Paper›PMID 42736269›Full record

ArticleNature communications2026

Efficient experimental characterization of the GPCRome via deep receptor scanning.

Austin Tedman, Muskan Goel, Sohan Shah, Matthew K Howard, Laura M Chamness, Antonio Bonifasi, Ismaila Adams, Jacklyn M Gallagher, Wesley D Penn, Katarina Nemec and 10 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 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

20 authors.

Austin TedmanThe James Tarpo Jr. and Margaret Tarpo Department of Chemistry, Purdue University, West Lafayette, IN, USA.
Muskan GoelThe James Tarpo Jr. and Margaret Tarpo Department of Chemistry, Purdue University, West Lafayette, IN, USA.
Sohan ShahThe James Tarpo Jr. and Margaret Tarpo Department of Chemistry, Purdue University, West Lafayette, IN, USA.ORCID http://orcid.org/0009-0007-2009-4787
Matthew K HowardDepartment of Bioengineering and Therapeutic Science, University of California, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-2128-2065
Laura M ChamnessDepartment of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN, USA.ORCID http://orcid.org/0000-0002-3971-2799
Antonio BonifasiThe James Tarpo Jr. and Margaret Tarpo Department of Chemistry, Purdue University, West Lafayette, IN, USA.
Ismaila AdamsThe Borch Department of Medicinal Chemistry and Molecular Pharmacology, Purdue University, West Lafayette, IN, USA.ORCID http://orcid.org/0000-0001-7113-3888
Jacklyn M GallagherThe James Tarpo Jr. and Margaret Tarpo Department of Chemistry, Purdue University, West Lafayette, IN, USA.
Wesley D PennDepartment of Chemistry, Indiana University, Bloomington, IN, USA.
Katarina NemecCenter of Excellence for Data Driven Discovery, Department of Structural Biology, St. Jude Children's Research Hospital, Memphis, TN, USA.ORCID http://orcid.org/0000-0002-3555-5853
Eli F McDonaldCenter of Excellence for Data Driven Discovery, Department of Structural Biology, St. Jude Children's Research Hospital, Memphis, TN, USA.ORCID http://orcid.org/0000-0002-0572-330X
Brianna N CormanWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA.
J Paul RobinsonWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA.
Carol Beth PostThe Borch Department of Medicinal Chemistry and Molecular Pharmacology, Purdue University, West Lafayette, IN, USA.ORCID http://orcid.org/0000-0002-5233-899X
Patricia L ClarkDepartment of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN, USA.ORCID http://orcid.org/0000-0001-5462-8248
M Madan BabuCenter of Excellence for Data Driven Discovery, Department of Structural Biology, St. Jude Children's Research Hospital, Memphis, TN, USA.ORCID http://orcid.org/0000-0003-0556-6196
Aashish ManglikDepartment of Pharmaceutical Chemistry, University of California, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-7173-3741
Charles P KuntzThe James Tarpo Jr. and Margaret Tarpo Department of Chemistry, Purdue University, West Lafayette, IN, USA. cpkuntz@purdue.edu.ORCID http://orcid.org/0000-0002-9431-4961
Willow Coyote-MaestasDepartment of Bioengineering and Therapeutic Science, University of California, San Francisco, CA, USA. willow.coyote-maestas@ucsf.edu.ORCID http://orcid.org/0000-0001-9614-5340
Jonathan P SchlebachThe James Tarpo Jr. and Margaret Tarpo Department of Chemistry, Purdue University, West Lafayette, IN, USA. jschleba@purdue.edu.ORCID http://orcid.org/0000-0003-0955-7633

Funding

U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) DP1146256U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) R35152086
6 · The paper itself

Abstract

G protein-coupled receptors (GPCRs) mediate a variety of signaling pathways and represent the most common class of pharmaceutical target. While advances in structural biochemistry have provided deep functional insights into key receptors, many of the 800+ human GPCRs remain understudied. We introduce a versatile "deep receptor scanning" platform that can be used to experimentally characterize 766 human GPCRs and 174 known GPCR splice variants in parallel. We use this platform to quantitatively characterize the relative abundance of canonical and alternative receptor transcripts, their translational efficiency, and the plasma membrane expression of each receptor in the context of a recombinant pool of HEK293T cells expressing individual GPCRs. We then employ machine learning to identify specific structural features that are strongly associated with variations in GPCR expression. Our results show that many highly-expressed receptors exhibit systematic differences in hydrophobicity and secondary structure. This experimental platform and informatic approach are compatible with a variety of assays and can be used to efficiently explore the biochemical and pharmacological properties of the GPCRome.

Indexed as

Receptors, G-Protein-CoupledAlternative SplicingCell MembraneHEK293 CellsHumansHydrophobic and Hydrophilic InteractionsMachine LearningReceptors, G-Protein-Coupled

Identifiers

PMID42736269
PMCPMC13575135

What Socratic holds

Textmetadata
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 Socratic graph.