From Multiplex to Models: Scaling Up GPCR Discovery in the Post-Silo Era
- Dr. GPCR Podcast
- Jun 5
- 1 min read
Today’s GPCR scientists don’t want to study one interaction, they want to model the network.
In Episode 167, Dr. Sakmar reflects on a generational shift in training. The newest scientists want scalable, automated systems and the tools to move from data collection to insight.
Building for the Future
The Sakmar lab built a system to meet that need:
Dual-epitope tagged constructs (N-term FLAG, C-term 1D4)
Compatible with multiple readouts: proximity, immuno assays, pulldowns
Validated antibodies + digital search platform
Entire library hosted on Addgene
This wasn’t a flash-in-the-pan project. It was structured, collaborative infrastructure.
“The students of today want biosensors, miniaturization, and multiplexing. This delivers all three.” — Tom Sakmar
A Use Case for Every Angle
Beyond RAMPs, this platform can study:
Scaffold protein interactions (e.g., 14-3-3)
Heterodimerization
Endogenous vs. overexpressed systems
Orphan GPCR deorphanization
Ligand screening and functional validation
Training the Next Wave
Graduate students and visiting scientists are already expanding this work, bringing in computational layers like AlphaFold to model GPCR-RAMP complexes in silico.
Kotliar sums it up best:
“We went from one receptor to many… and now, from many, we can go back to one, with purpose.”
Listen to the complete episode to learn more.
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