@misc{eichinger_a_computational_2021, 
author={Eichinger, J.F.,Grill, M.J.,Kermani, I.D.,Aydin, R.C.,Wall, W.A.,Humphrey, J.D.,Cyron, C.J.},
title={A computational framework for modeling cell–matrix interactions in soft biological tissues},
year={2021},
howpublished = {journal article},
doi = {https://doi.org/10.1007/s10237-021-01480-2},
abstract = {Living soft tissues appear to promote the development and maintenance of a preferred mechanical state within a defined tolerance around a so-called set point. This phenomenon is often referred to as mechanical homeostasis. In contradiction to the prominent role of mechanical homeostasis in various (patho)physiological processes, its underlying micromechanical mechanisms acting on the level of individual cells and fibers remain poorly understood, especially how these mechanisms on the microscale lead to what we macroscopically call mechanical homeostasis. Here, we present a novel computational framework based on the finite element method that is constructed bottom up, that is, it models key mechanobiological mechanisms such as actin cytoskeleton contraction and molecular clutch behavior of individual cells interacting with a reconstructed three-dimensional extracellular fiber matrix. The framework reproduces many experimental observations regarding mechanical homeostasis on short time scales (hours), in which the deposition and degradation of extracellular matrix can largely be neglected. This model can serve as a systematic tool for future in silico studies of the origin of the numerous still unexplained experimental observations about mechanical homeostasis.},
note = {Online available at: \url{https://doi.org/10.1007/s10237-021-01480-2} (DOI). Eichinger, J.; Grill, M.; Kermani, I.; Aydin, R.; Wall, W.; Humphrey, J.; Cyron, C.: A computational framework for modeling cell–matrix interactions in soft biological tissues. Biomechanics and Modeling in Mechanobiology. 2021. vol. 20, 1851-1870. DOI: 10.1007/s10237-021-01480-2}}