Background
Lipid aggregates, such as liposomes and micelles, play critical roles in biological systems and have significant applications in drug delivery, membrane biology, and nanotechnology. These aggregates are typically composed of different lipid species, each contributing unique physicochemical properties to the overall structure. Understanding the heterogeneity within these lipid assemblies is crucial, as it can affect their functionality, stability, and interaction with other biomolecules. Despite advances in lipidomics and microscopy, comprehensive methodologies for assessing lipid heterogeneity in lipid aggregates remain underdeveloped. This proposal aims to develop and apply innovative techniques to characterize lipid diversity within aggregates at a high spatial and compositional resolution.
Key Objectives
The main objective of this research is to assess lipid heterogeneity in lipid aggregates, focusing on the following goals:
- Characterize lipid composition: Identify and quantify different lipid species within the aggregates.
- Analyze spatial distribution: Investigate the localization of different lipid species within the aggregates to understand microdomain formation and lipid clustering.
- Correlate lipid composition with function: Examine how lipid heterogeneity influences the physical and biological properties of the aggregates, such as permeability, stability, and interaction with proteins.
Methodology
To assess lipid heterogeneity, the following multi-step approach will be utilized:
- Fluorescence Microscopy and Super-Resolution Techniques:
To visualize the spatial distribution of lipid species, fluorescence microscopy, coupled with super-resolution imaging techniques (such as expansion microscopy, ExM), will be employed. Fluorescently labeled lipid analogs will allow the tracking of lipid species within the aggregates, enabling the identification of lipid domains and phase separation within the structure. These data will further provide high-resolution structural information regarding the organization of lipids in these aggregates, allowing us to correlate lipid heterogeneity with physical properties like aggregate size, curvature and stability. - Functional Analysis (Time permitting):
To assess the functional implications of lipid heterogeneity, experiments will be designed to evaluate the interaction of lipid aggregates with model proteins and small molecules. Techniques like isothermal titration calorimetry (ITC) or differential scanning calorimetry (DSC) along with dynamic light scattering (DLS) will be used to measure binding affinities, aggregate size, and stability changes as a result of lipid diversity and biomolecular composition.
Conclusion
Assessing lipid heterogeneity in lipid aggregates will advance our understanding of lipid organization and function in biological membranes and synthetic systems. The proposed research will also contribute to the rational design of lipid-based delivery systems by providing insights into how lipid composition impacts aggregate behavior and functionality. By integrating advanced imaging and biophysical methods, this project aims to provide a comprehensive approach to studying lipid heterogeneity and its implications for lipid aggregate performance in various biological and technological applications.
References
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- Rieth MD. (2022). “A new lipid complex has micelle and bicelle-like properties.” BBA – Biomembranes. 1864(9): 183952. https://doi.org/10.1016/j.bbamem.2022.183952
- Rieth MD, Root K.T., K.J. Glover. (2020). “Reconstitution of full-length caveolin-1 into phospholipid bicelles: validation by analytical ultracentrifugation.” Biophys. Chem. 259: 106339. https://doi.org/10.1016/j.bpc.2020.106339
- Rieth MD* & Lozano A.J. (2020). “Preparation of DPPC liposomes using probe-tip sonication: investigating intrinsic factors affecting temperature phase transitions.” Biochem. Biophys. Rep. 22: 100764. doi.org/10.1016/j.bbrep.2020.100764
- Wassie, A.T., Zhao Y. & Boyden E.S. (2019). Expansion microscopy: principles and uses in biological research. Nat Methods 16, 33–41. https://doi.org/10.1038/s41592-018-0219-4