Investigating the Influence of Heterogeneity Within Cell Types on Microvessel Network Transport.

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Date

2023-12

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Abstract

Background

Current research on the biophysics of circulating tumor cells often overlooks the heterogeneity of cell populations, focusing instead on average cellular properties. This study aims to address the gap by considering the diversity of cell biophysical characteristics and their implications on cancer spread.

Methods

We utilized computer simulations to assess the influence of variations in cell size and membrane elasticity on the behavior of cells within fluid environments. The study controlled cell and fluid properties to systematically investigate the transport of tumor cells through a simulated network of branching channels.

Results

The simulations revealed that even minor differences in cellular properties, such as slight changes in cell radius or shear elastic modulus, lead to significant changes in the fluid conditions that cells experience, including velocity and wall shear stress (p < 0.001).

Conclusion

The findings underscore the importance of considering cell heterogeneity in biophysical studies and suggest that small variations in cellular characteristics can profoundly impact the dynamics of tumor cell circulation. This has potential implications for understanding the mechanisms of cancer metastasis and the development of therapeutic strategies.

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Subjects

CTC transport, Cellular mechanics, Computational modeling

Citation

Published Version (Please cite this version)

10.1007/s12195-023-00790-y

Publication Info

Nan, Junyu, Sayan Roychowdhury and Amanda Randles (2023). Investigating the Influence of Heterogeneity Within Cell Types on Microvessel Network Transport. Cellular and molecular bioengineering, 16(5-6). pp. 497–507. 10.1007/s12195-023-00790-y Retrieved from https://hdl.handle.net/10161/30357.

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Scholars@Duke

Randles

Amanda Randles

Alfred Winborne and Victoria Stover Mordecai Associate Professor of Biomedical Sciences

My research in biomedical simulation and high-performance computing focuses on the development of new computational tools that we use to provide insight into the localization and development of human diseases ranging from atherosclerosis to cancer. 


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