The extracellular
microenvironment is an important regulator of
cell functions. Numerous structural cues present in the cellular microenvironment,
such as ligand distribution and substrate topography, have been shown
to influence cell behavior. However, the roles of these cues are often
studied individually using simplified, single-cue platforms that lack
the complexity of the three-dimensional, multi-cue environment cells
encounter in vivo. Developing ways to bridge this
gap, while still allowing mechanistic investigation into the cellular
response, represents a critical step to advance the field. Here, we
present a new approach to address this need by combining optics-based
protein patterning and lithography-based substrate microfabrication,
which enables high-throughput investigation of complex cellular environments.
Using a contactless and maskless UV-projection system, we created
patterns of extracellular proteins (resembling contact-guidance cues)
on a two-and-a-half-dimensional (2.5D) cell culture chip containing
a library of well-defined microstructures (resembling topographical
cues). As a first step, we optimized experimental parameters of the
patterning protocol for the patterning of protein matrixes on planar
and non-planar (2.5D cell culture chip) substrates and tested the
technique with adherent cells (human bone marrow stromal cells). Next,
we fine-tuned protein incubation conditions for two different vascular-derived
human cell types (myofibroblasts and umbilical vein endothelial cells)
and quantified the orientation response of these cells on the 2.5D,
physiologically relevant multi-cue environments. On concave, patterned
structures (curvatures between κ = 1/2500 and κ = 1/125
μm–1), both cell types predominantly oriented
in the direction of the contact-guidance pattern. In contrast, for
human myofibroblasts on micropatterned convex substrates with higher
curvatures (κ ≥ 1/1000 μm–1),
the majority of cells aligned along the longitudinal direction of
the 2.5D features, indicating that these cells followed the structural
cues from the substrate curvature instead. These findings exemplify
the potential of this approach for systematic investigation of cellular
responses to multiple microenvironmental cues.