Evidence map›Paper›PMID 41000614›Full record

ArticlebioRxiv : the preprint server for biology2025

Deep Receptor Scanning Reveals General Sequence Constraints on GPCR Biosynthesis.

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

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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.
Mathew K HowardDepartment of Bioengineering and Therapeutic Science, University of California, San Francisco, San Francisco, CA, USA.
Laura M ChamnessDepartment of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN, USA.
Antonio BonifasiThe James Tarpo Jr. and Margaret Tarpo Department of Chemistry, Purdue University, West Lafayette, IN, USA.
Ismalia AdamsThe Borch Department of Medicinal Chemistry and Molecular Pharmacology, Purdue University, West Lafayette, IN, USA.
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.
Eli F McDonaldCenter of Excellence for Data Driven Discovery, Department of Structural Biology, St. Jude Children's Research Hospital, Memphis, TN, USA.
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.
Patricia L ClarkDepartment of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN, USA.ORCID 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.
Aashish ManglikDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA.
Charles P KuntzThe James Tarpo Jr. and Margaret Tarpo Department of Chemistry, Purdue University, West Lafayette, IN, USA.
Willow Coyote-MaestasDepartment of Bioengineering and Therapeutic Science, University of California, San Francisco, San Francisco, CA, USA.
Jonathan P SchlebachThe James Tarpo Jr. and Margaret Tarpo Department of Chemistry, Purdue University, West Lafayette, IN, USA.ORCID 0000-0003-0955-7633

Funding

Molecular Mechanisms of Membrane Protein Misfolding and Quality Control in Cellular ProteostasisR35GM152086 · NIGMS · PURDUE UNIVERSITY · PI Jonathan Patrick Schlebach · 2024 to 2026
$1.5M
NIGMS NIH HHS R35 GM152086
6 · The paper itself

Abstract

G protein-coupled receptors (GPCRs) mediate a variety of signaling pathways and are the most common pharmacological targets. 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 modulate GPCR expression. 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

CodonDeep Mutational ScanningGPCRMachine LearningMembrane Protein FoldingPharmacologyProteostasisReceptorRibo-SeqSignaling

Identifiers

PMID41000614
PMCPMC12458215

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.