# Computational and experimental modeling of cell function in response to 3D oxygen transport in vitro. > **NIH NIH F31** · RICE UNIVERSITY · 2020 · $29,028 ## Abstract Abstract To advance regenerative medicine towards recapitulating the structures and functions of human tissues at physi- ologic length scales and with relevant cell densities, strategies must be developed to meet their unrelenting metabolic demands. In order to effectively and efficiently oxygenate functional engineered tissues, we must understand how changes in oxygen tension modulate cell viability, proliferation, and phenotype. Decades of studying cell cultures incubated under low oxygen levels have unveiled some aspects of the hypoxic response and many key in- sights into its mechanism. Separately, an astonishing array of biomaterials have been developed which can support cells in 3D environments and can recapitulate native cell morphologies and functions to a much greater extent than 2D culture. However, as emerging areas such as regenerative medicine have sought to incorporate cells within these materials, new questions have emerged regarding the roles played by oxygen transport and hypoxia in directing the density and function of the cell populations. Currently, we lack a comprehensive framework to describe and pre- dict how cell populations will alter their densities and functions over time in the presence of spatiotemporally heterogeneous oxygen gradients. We need to extend our knowledge of cellular responses to hypoxia into 3D and we need to profile how tissue-specific cell functions are impacted by local oxygen cues. In this proposal, I and a sup- porting team of experts in biomaterials, computational modeling, and liver biology will unify computational models of hypoxic response with engineered model tissues to link oxygen transport with tissue function in 3D. Our findings will be incorporated into an experimentally validated model capable of predicting how cell popula- tions change in density and function in response to specified oxygen gradients. Cellular responses to hypoxia will be parameterized by cell-specific response functions and integrated with oxygen transport equations in an agent-based computational model. We will fit parameters using advanced volumetric imaging and image segmentation along with biochemical assays to map cellular markers of viability, proliferation, hypoxia, and phenotype within 3D hydrogels containing HepG2 liver cells, a well-defined model cell type from a highly metabolic tissue. I hypothesize that our closed-loop computational and experimental workflow will yield a scalable model of cell behavior at the tissue level which captures previously unstudied functional responses to hypoxia. Finally, to broadly profile the phe- notypic landscape of cells growing in the presence of oxygen gradients, we will use RNA sequencing to map spatial zonation of cell phenotypes along axial and radial oxygen gradients in perfused hydrogels. Controlled encapsulation of cells within hydrogels of reproducible architecture will enable us to evaluate these spatial patterns in gene expres- sion with a degree of experimental control and... ## Key facts - **NIH application ID:** 9895842 - **Project number:** 5F31HL140905-03 - **Recipient organization:** RICE UNIVERSITY - **Principal Investigator:** Ian S Kinstlinger - **Activity code:** F31 (R01, R21, SBIR, etc.) - **Funding institute:** NIH - **Fiscal year:** 2020 - **Award amount:** $29,028 - **Award type:** 5 - **Project period:** 2018-04-16 → 2020-11-15 ## Primary source NIH RePORTER: https://reporter.nih.gov/project-details/9895842 ## Citation > US National Institutes of Health, RePORTER application 9895842, Computational and experimental modeling of cell function in response to 3D oxygen transport in vitro. (5F31HL140905-03). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/9895842. Licensed CC0. --- *[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*