Related Experiment Video
Updated: Sep 12, 2025

Production and Optimization of LTE, a Leishmania tarentolae Derived Cell-Free Protein Expression System for Recombinant Protein Production
Published on: November 8, 2024
Evolutionarily diverse caveolins share a common structural framework built around amphipathic disks
Bing Han1,2, Sarah M Connolly3, Darrin T Schultz4
1Center for Membrane and Cell Physiology, University of Virginia , Charlottesville, VA, USA.
Abstract:
Caveolins are a unique family of membrane remodeling proteins present broadly across animals (Metazoa), and in vertebrates form flask-shaped invaginations known as caveolae. While human caveolin-1 assembles into an amphipathic disk composed of 11 spirally packed protomers, the structural basis underlying caveolin function across animals remains elusive. Here, we predicted structures for 73 caveolins spanning animal diversity, as well as a newly identified choanoflagellate caveolin from Salpingoeca rosetta. This analysis revealed seven conserved structural elements and a propensity to assemble into amphipathic disks. Cryo-EM structures of caveolins from S. rosetta choanoflagellate and the purple sea urchin Strongylocentrotus purpuratus exhibit striking structural similarities to human caveolin-1, validating the structural predictions. Lastly, tracing the chromosomal evolutionary history of caveolins revealed its parahoxozoan ancestral chromosome and evolutionary branches on which caveolins translocated and expanded. These results show that caveolins possess an ancient structural framework predating Metazoa and provide a new structural paradigm to explore the molecular basis of caveolin function across diverse evolutionary lineages.
Related Concept Videos
Structure of Cadherins
Structure of Porins
Clathrin Coated Vesicles
COP Coated Vesicles
Mechanisms of Membrane Domain Formation
Another mechanism for membrane domain formation involves membrane proteins interacting with...
Conserved Binding Sites
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally...

