To understand how cells in the body behave, bioengineers create miniature models of the cells’ environment in their lab. But recreating this niche environment is incredibly complex in a controlled setting, because researchers are still learning all the factors that influence cell behavior and growth. By observing and then modifying their engineered mini-models, scientists are better able to identify those factors.
This form of cellular research is essential to the study of regenerative medicine, which focuses on replacing or repairing damaged tissue, often through the use of stem cells, a special population of cells that can give rise to all tissues in the body. Bioengineers face the central question of regenerative medicine: what causes stem cells to grow, organize, and mature from a small population of cells to complex organs?
To find an answer, a research team from the Johns Hopkins Institute for NanoBioTechnology borrowed a process commonly used in the electronics industry called micropatterning, in which the miniaturization of shapes increases the number of transistors on a circuit. The team created micropatterned shapes, coupled with machine learning, to see how confinement influences stem cell maturation and organization.
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