Date of Award
Spring 6-12-2026
Document Type
Dissertation
Degree Name
Ph.D. in Biological Sciences
Organizational Unit
College of Natural Science and Mathematics, Biological Sciences
First Advisor
Erich J. Kushner
Second Advisor
Dinah Loerke
Third Advisor
Schuyler B. van Engelenburg
Fourth Advisor
J. T. Blankenship
Copyright Statement / License for Reuse

All Rights Reserved.
Keywords
Caveolae, Caveolin-1, Endothelial cells, Micropatterning, Spatial cell mapping
Abstract
Caveolae are specialized, flask-shaped membrane invaginations highly expressed in endothelium and dysregulated in atherosclerosis. Caveolae play a central role in buffering membrane tension, yet the principles governing their spatial organization remain elusive. Thus, we sought to generate the most comprehensive and systematic analysis of blood vessel caveolar spatial organization. However, cell culturing, the backbone of human-focused biological research, does not standardly do well to model physiologically relevant cell behaviors such as migration or polarity-based tissue formation, particularly for punctate proteins and structures like caveolae. Micropatterns are cell-adhesive shapes that biophysically confine cell(s) to a user defined geometry which stereotype organelle and cytoskeletal systems to better study morphologically relevant conditions. A major drawback of this approach is the cost of equipment and reagents associated with fabrication. Here, we provide a characterization of a compound called Lipidure (2-Methacryloyloxy ethyl phosphorylcholine) that is up to 40X less expensive than other cell repulsive coating agents. We demonstrated that Lipidure is sensitive to deep UV degradation for photolithography masking, non-toxic in prolonged culture, cell-repulsive, and effective at constraining cell geometry for quantification of cytoskeletal systems. In turn, we leveraged Lipidure-based micropatterning to impose precise biophysical constraints on endothelial cell geometry to study the organization of caveolae, probing defined tensional and polarized environments. We integrated a computational, high-throughput spatial cell mapping pipeline for analyzing thousands of caveolae, providing extremely high-fidelity analysis. Our results provide a governing framework of how total cellular caveolae are spatially organized during random and directional migration, non-motile polarized, nascent and stable monolayers with differing confinement levels as well as in angiogenic vasculature in vivo. Broadly, our results demonstrated caveolae preferentially organized in the rear of migrating and polarized endothelial cells. In differing monolayer configurations, caveolae default to a peri-junctional spatial organization. Lastly, in mouse retinal blood vessels caveolae are most prominent in the vascular front due to their responsiveness to vascular endothelial growth factor signaling. Overall, these results strongly suggest that caveolae cellular arrangement and number are highly predictive of vascular stability and remodeling states.
Copyright Date
6-2026
Publication Statement
Copyright is held by the author. User is responsible for all copyright compliance.
Rights Holder
Andrew B. Grespin
Provenance
Received from ProQuest
File Format
application/pdf
Language
English (eng)
Extent
92 pgs
File Size
2 MB
Recommended Citation
Grespin, Andrew B., "A Computational Micropatterning Approach to Study Caveolae and Protein Localization in Vascular Biology" (2026). Electronic Theses and Dissertations. 2713.
https://digitalcommons.du.edu/etd/2713
Included in
Biological Engineering Commons, Biology Commons, Biophysics Commons, Cell Biology Commons