Lipid-Protein Reciprocal Coupling: A Quantitative Analysis of Membrane Curvature, Architecture, and Protein Association
- 1UT southwestern
Abstract
Cellular membranes are dynamic molecular landscapes in which lipid composition, transbilayer asymmetry, membrane curvature, thickness and mechanics collectively shape protein organization and function, while proteins can in turn remodel lipid organization and membrane architecture. Yet lipid-protein interactions are often treated as discrete binding events, obscuring the extent to which the physical organization of the membrane itself constitutes an active determinant of protein conformational states and cellular activity. Here, we investigate lipid-protein reciprocal coupling by integrating quantitative analyses of curvature-dependent protein-membrane association and hydrophobic-run organization with established structural, lipidomic and biochemical evidence. Our analysis reveals substantial variation in protein association with curved versus flat membrane environments and highlights how membrane curvature, together with lipid composition, cholesterol and asymmetry, can regulate protein structure and function, including in disease-associated systems. We further examine emerging lipid sensors, spatial proteomics and advanced biomimetic membrane platforms that are beginning to bridge molecular mechanisms with protein-lipid organization in cells. In particular, suspended membranes, pore-spanning systems and nanopillar architectures offer opportunities to independently control lipid composition, leaflet asymmetry, curvature and mechanics while directly interrogating protein behaviour. Together, these findings support a model in which membrane architecture encodes physical information that is read by proteins and reciprocally reshaped by protein activity to regulate cellular function.
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BibTeX
@misc{sannigrahi2026lipidprotein,
title = {{Lipid-Protein Reciprocal Coupling: A Quantitative Analysis of Membrane Curvature, Architecture, and Protein Association}},
author = {A. Sannigrahi and M. S. A. MOMIN and D. Sarkar and N. De and D. Bhunia},
howpublished = {bioRxiv},
year = {2026},
month = sep,
doi = {10.64898/2026.09.24.751570},
url = {https://www.biorxiv.org/content/10.64898/2026.09.24.751570v1},
note = {CC BY-ND},
}
RIS
TY - UNPB
TI - Lipid-Protein Reciprocal Coupling: A Quantitative Analysis of Membrane Curvature, Architecture, and Protein Association
AU - A. Sannigrahi
AU - M. S. A. MOMIN
AU - D. Sarkar
AU - N. De
AU - D. Bhunia
PY - 2026
DA - 2026/09/24
PB - bioRxiv
DO - 10.64898/2026.09.24.751570
UR - https://www.biorxiv.org/content/10.64898/2026.09.24.751570v1
AB - Cellular membranes are dynamic molecular landscapes in which lipid composition, transbilayer asymmetry, membrane curvature, thickness and mechanics collectively shape protein organization and function, while proteins can in turn remodel lipid organization and membrane architecture. Yet lipid-protein interactions are often treated as discrete binding events, obscuring the extent to which the physical organization of the membrane itself constitutes an active determinant of protein conformational states and cellular activity. Here, we investigate lipid-protein reciprocal coupling by integrating quantitative analyses of curvature-dependent protein-membrane association and hydrophobic-run organization with established structural, lipidomic and biochemical evidence. Our analysis reveals substantial variation in protein association with curved versus flat membrane environments and highlights how membrane curvature, together with lipid composition, cholesterol and asymmetry, can regulate protein structure and function, including in disease-associated systems. We further examine emerging lipid sensors, spatial proteomics and advanced biomimetic membrane platforms that are beginning to bridge molecular mechanisms with protein-lipid organization in cells. In particular, suspended membranes, pore-spanning systems and nanopillar architectures offer opportunities to independently control lipid composition, leaflet asymmetry, curvature and mechanics while directly interrogating protein behaviour. Together, these findings support a model in which membrane architecture encodes physical information that is read by proteins and reciprocally reshaped by protein activity to regulate cellular function.
ER -