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Marina Casiraghi

Stanford University

ORCID: 0000-0003-0627-2288

Publishes on Receptor Mechanisms and Signaling, Protein Structure and Dynamics, Lipid Membrane Structure and Behavior. 23 papers and 499 citations.

23Publications
499Total Citations

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Top publicationsby citations

Functional Modulation of a G Protein-Coupled Receptor Conformational Landscape in a Lipid Bilayer
Marina Casiraghi, Marjorie Damian, Ewen Lescop et al.|Journal of the American Chemical Society|2016
Cited by 89Open Access

Mapping the conformational landscape of G protein-coupled receptors (GPCRs), and in particular how this landscape is modulated by the membrane environment, is required to gain a clear picture of how signaling proceeds. To this end, we have developed an original strategy based on solution-state nuclear magnetic resonance combined with an efficient isotope labeling scheme. This strategy was applied to a typical GPCR, the leukotriene B4 receptor BLT2, reconstituted in a lipid bilayer. Because of this, we are able to provide direct evidence that BLT2 explores a complex landscape that includes four different conformational states for the unliganded receptor. The relative distribution of the different states is modulated by ligands and the sterol content of the membrane, in parallel with the changes in the ability of the receptor to activate its cognate G protein. This demonstrates a conformational coupling between the agonist and the membrane environment that is likely to be fundamental for GPCR signaling.

Specific cardiolipin–SecY interactions are required for proton-motive force stimulation of protein secretion
Robin A. Corey, Euan Pyle, William J. Allen et al.|Proceedings of the National Academy of Sciences|2018
Cited by 75Open Access

SecYEG. The results show that the two sites account for the preponderance of functional CL binding to SecYEG, and mediate its roles in ATPase and protein transport activity. In addition, we demonstrate an important role for CL in the conferral of PMF stimulation of protein transport. The apparent transient nature of the CL interaction might facilitate proton exchange with the Sec machinery, and thereby stimulate protein transport, by a hitherto unexplored mechanism. This study demonstrates the power of coupling the high predictive ability of coarse-grained simulation with experimental analyses, toward investigation of both the nature and functional implications of protein-lipid interactions.