Research that improves speed, accuracy of stem cell experiments

UTA research better predicts how stem cells develop into specific cells

Monday, Nov 22, 2021 • Herb Booth : Contact

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Alan Bowling

Researchers from The University of Texas at Arlington are working to create a simulation technique that better predicts how stem cells develop into specific cells, such as bone or skin.

The team, led by mechanical engineering Associate Professor Alan Bowling, is using a two-year, $416,000 grant from the National Institutes of Health for the work. Co-principal investigators are Michael Cho, professor and chair of the bioengineering department, and Hyejin Moon, associate professor of mechanical engineering.

The team has developed a new way of simulating cell mechanics with a technique that mirrors the movement of a cell’s contents in a process that affects stem cell differentiation. Stem cell differentiation has applications in tissue repair, regeneration and wound healing.

Michael Cho
Michael Cho

The simulation helps predict the initial conditions of a stem cell that will successfully differentiate into a desired cell type. If a scientist can figure out the initial conditions, it will be possible to predict what the cell will become ahead of time. If cells are being developed for a skin graft, for example, scientists could increase a batch’s yield to 90% skin cells by starting with stem cells with characteristics that indicate that they will differentiate in that direction.

Cho’s research suggests that the key trigger for stem cell differentiation is based on mechanical signaling. He discovered that there is a correlation between the size of the cell’s nucleus and whether it will differentiate into the desired cell type.

“We can get fast results, which lead to high yields of the specific tissue, so there are farther reaching consequences if we are successful,” Bowling said. “This technique appears to predict behavior that classic, standard models don’t. It allows us to do simulations that we can’t with other techniques, and we can get results much more quickly than conventional techniques.”

The team has successfully shortened years-long computer simulations of 15-day differentiation processes down to about 90 minutes, Bowling said. Current stem cell experiments can take upwards of two weeks to complete and there is no way to tell what the results will be.

Hyejin Moon
Hyejin Moon

Moon’s experiments are meant to produce microfluidic conditions that mimic the intracellular environment, including differing viscosity and density of enzymes and proteins within the cells, to investigate what happens as stem cells differentiate.

Cho said the collaboration among the three scientists is leading to exciting developments.

“Determining why some stem cells respond as predicted and some don’t has been frustrating researchers in this field for years,” Cho said. “The accuracy of Dr. Bowling’s models will allow me to confidently predict mechanobiological behavior of cells under different environments in a fraction of the time, and Dr. Moon’s expertise will allow us to get into the finer details of what’s happening inside stem cells.”

-       Written by Jeremy Agor, College of Engineering