Abstract
Cells constantly sense and respond to biophysical cues in their microenvironment. Understanding how they interpret these mechanical signals is essential for advancing tissue modeling, studying disease mechanisms, and developing more predictive in vitro platforms. This dissertation presents a series of engineered microphysiological systems (MPS) designed to investigate how mechanical stimuli shape cellular behavior in distinct human tissue microenvironments. In Aim 1, I developed a reconfigurable microfluidic platform that mimics key features of human vascular barriers. This system supports the integration of porous membranes, 3D hydrogels, and flow channels, enabling precise control over both mechanical and biochemical cues. The modularity of the platform allows for flexible adaptation to different tissue types and experimental conditions. Aim 2 introduces a microfluidic approach to engineer collagen fiber alignment interfaces by modulating extensional strain during gel injection. This method enables the creation of localized discontinuities in extracellular matrix (ECM) alignment, allowing investigation of how fiber heterogeneity and interfaces impact directed cell migration. In Aim 3, I examine topographical mechanical memory in mesenchymal stem cells. Using patterned ridge–flat substrates, I show that cells retain migratory behaviors influenced by prior topographical exposure, even after the mechanical cue is removed, suggesting long-lasting cellular memory effects. Finally, Aim 4 explores the independent and synergistic effects of shear stress and topographical cues on endothelial morphology and function. While both cues promote cell alignment, their effects on gene expression are not fully interchangeable, acting independently for some genes and synergistically for others. These findings highlight the complexity of mechanical regulation in vascular biology. Together, these platforms provide versatile tools to probe cellular mechanobiology and significantly enhance the physiological relevance of in vitro models for biomedical research, disease modeling, and therapeutic development.
Library of Congress Subject Headings
Tissue engineering; Cells--Microbiology; Cells--Mechanical properties; Cellular physiology; Cellular interaction
Publication Date
6-2025
Document Type
Dissertation
Student Type
Graduate
Degree Name
Biomedical and Chemical Engineering (Ph.D)
Department, Program, or Center
Biomedical Engineering
College
Kate Gleason College of Engineering
Advisor
Vinay Abhyankar
Recommended Citation
Mansouri, Mehran, "Engineering Microphysiological Systems to Investigate Cellular Responses to Biophysical Cues in Human Tissue Microenvironments" (2025). Thesis. Rochester Institute of Technology. Accessed from
https://repository.rit.edu/theses/12187
Campus
RIT – Main Campus
Plan Codes
BMECHE-PHD