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Combining Experiments and Computer Simulation to Improve the Stem Cell Differentiation Process

Award Number: R15EB030842
ORGANIZATION: NATIONAL INSTITUTE Of BIOMEDICAL IMAGING & BIOENGINEERING
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

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ABSTRACT The long term goal of this work is to increase the yield as well as accelerate the process of stem cell differen- tiation. Herein we choose adipogenesis to illustrate our approach, because it is important in developing tissue replacements in situation that require soft tissue repair, including breast reconstruction. The goal is accomplished through a combination of experimental and computer simulation techniques that allow improved prediction and control of adipogenesis. A key element of this approach is a recently developed high-speed computer simulation of cellular and subcellular dynamics. The speed of the simulation allows the use of experimental observations in new ways, which allow 1) determination of the initial mechanical state of stem cells that lead to adipogenesis and 2) identiﬁcation of areas in the differentiation process where time can be saved, thereby reducing the duration of adipogenesis. Knowing the initial mechanical states that lead to adipogenesis allows prescreening of stem cells so that the less viable ones can be eliminated, thereby increasing the process yield. The time history of the forces acting between cellular and subcellular structures and the ﬂuid surrounding them during adipogenesis is examined to determine areas where the process time can be reduced. The high-ﬁdelity, high-speed simulation produces these time histories in a short amount of time, which allows us to iteratively search for time savings and initial conditions and verify them using experiments. In this manner, the typical trial and error search for conditions favorable to adipogenesis is shifted to the simulation, rather than accomplished through lengthy experiments. This approach yields solutions for increasing the yield and decreasing the processing time for adipogenesis in much less time than a purely experimental or numerical approach could. The success of this study will yield a template for combining experimental and computer simulations that can be applied to increase understanding of many biological processes that affect health and quality of life.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2024 ( Subtotal = $0 )
2024	2021	THE UNIVERSITY OF TEXAS AT ARLINGTON	701 S. NEDDERMAN DR	ARLINGTON	TX	76019	TARRANT	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	000	1	10/24/2023	NEW	$0
														Subtotal = $0

Issue Date FY: 2022 ( Subtotal = $377,164 )
2022	2022	THE UNIVERSITY OF TEXAS AT ARLINGTON	701 S. NEDDERMAN DR	ARLINGTON	TX	76019	TARRANT	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	000	1	8/3/2022	SUPPLEMENT FOR EXPANSION	$61,353
2022	2022	THE UNIVERSITY OF TEXAS AT ARLINGTON	701 S. NEDDERMAN DR	ARLINGTON	TX	76019	TARRANT	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	001	1	8/8/2022	SUPPLEMENT FOR EXPANSION	$315,811
														Subtotal = $377,164

Issue Date FY: 2021 ( Subtotal = $418,653 )
2021	2021	UNIVERSITY OF TEXAS AT ARLINGTON	400 S CORN ST	ARLINGTON	TX	76019	TARRANT	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	000	1	8/31/2021	NEW	$418,653
														Subtotal = $418,653

Grand Total All Awards = $795,817

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Combining Experiments and Computer Simulation to Improve the Stem Cell Differentiation Process

Award Number: R15EB030842

ORGANIZATION: NATIONAL INSTITUTE Of BIOMEDICAL IMAGING & BIOENGINEERING

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

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