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Computational model for migration of human osteoblasts in direct current electric field

Computational model for migration of human osteoblasts in direct current electric field

来源:bioRxiv_logobioRxiv
英文摘要

Abstract Under both physiological (development, regeneration) and pathological conditions (cancer metastasis), cells migrate while sensing environmental cues in the form of mechanical, chemical or electrical stimuli. Although it is known that osteoblasts respond to exogenous electric fields, the underlying mechanism of electrotactic collective movement of human osteoblasts is unclear. Theoretical approaches to study electrotactic cell migration until now mainly used reaction-diffusion models, and did not consider the effect of electric field on single-cell motility, or incorporate spatially dependent cell-to-cell interactions. Here, we present a computational model that takes into account cell interactions and describes cell migration in direct current electric field. We compare this model with in vitro experiments in which human primary osteoblasts are exposed to direct current electric field of varying field strength. Our results show that cell-cell interactions and fluctuations in the migration direction together lead to anode-directed collective migration of osteoblasts. Author summaryElectrotactic migration of cells involves directed movement of a large number of single cells under the influence of external electric field. Influencing the migration behaviour of osteoblasts by external direct current electric field offers a promising approach towards building highly effective implants for bone regeneration. We present a computational model for electrotactic migration of osteoblasts subject to external direct current electric field. Our model considers individual cells that interact with each other and the external electric field, and, replicates the experimental observations, based on single-cell analysis, of the response of osteoblasts to electrical stimulation of varying strengths for 7 hours. Our results suggest that tracking trajectories of individual cells provide a way of determining the role of various interactions of a cell in collective migration. Our model provides a framework that links single cell response to the large scale collective dynamics.

Rienen Ursula van、Porath Katrin、Dawson Jonathan Edward、Appali Revathi、Bader Rainer、Sellmann Tina、K?hling R¨1diger

Institute of General Electrical Engineering, University of Rostock||Department of Life, Light and Matter, Interdisciplinary Faculty, University of Rostock||Department of Ageing of Individuals and Society, Interdisciplinary Faculty, University of RostockOscar-Langendorff-Institute of Physiology, Rostock University Medical CenterInstitute of General Electrical Engineering, University of RostockInstitute of General Electrical Engineering, University of Rostock||Department of Ageing of Individuals and Society, Interdisciplinary Faculty, University of RostockDepartment of Life, Light and Matter, Interdisciplinary Faculty, University of Rostock||Biomechanics and Implant Research Lab, Department of Orthopedics, Rostock University Medical CenterOscar-Langendorff-Institute of Physiology, Rostock University Medical CenterOscar-Langendorff-Institute of Physiology, Rostock University Medical Center||Department of Ageing of Individuals and Society, Interdisciplinary Faculty, University of Rostock||Center for Translational Neuroscience Research, Rostock University Medical Center

10.1101/2020.12.15.422893

生物科学研究方法、生物科学研究技术生物物理学细胞生物学

Rienen Ursula van,Porath Katrin,Dawson Jonathan Edward,Appali Revathi,Bader Rainer,Sellmann Tina,K?hling R¨1diger.Computational model for migration of human osteoblasts in direct current electric field[EB/OL].(2025-03-28)[2025-04-29].https://www.biorxiv.org/content/10.1101/2020.12.15.422893.点此复制

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