← BioTransfer GEO Dataset Finder
GEO series

Multidimensional Deep Receptor Scanning Reveals Constraints on GPCR Biosynthesis [RNA-seq]

GSE304607 Homo sapiens Expression profiling by high throughput sequencing 6 samples Submitted 2025/08/12 Platform GPL24676
Summary
G protein-coupled receptors (GPCRs) mediate a variety of signaling pathways and are among the most common pharmacological targets. While advances in structural biochemistry have provided deep functional insights into dozens of key receptors, many of the 800+ human GPCRs remain understudied. In the following, we introduce a versatile “deep receptor scanning” platform that can be used to experimentally characterize 767 human GPCRs and 174 known GPCR splice variants in parallel. We quantitatively characterize the relative abundance of 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.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE304607_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 6 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1301918 and SRA study SRP606740. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 6 more — browse all 6 samples with per-sample file links →

Similar datasets

Search all human RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.