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Multiscale mathematical biology of cell-extracellular matrix interactions during morphogenesis

Authors: E.G. Rens (Lisanne);

Multiscale mathematical biology of cell-extracellular matrix interactions during morphogenesis

Abstract

During embryonic growth, cells proliferate, differentiate, and collectively migrate to form different tissues at the right position and time in the body. The extracellular matrix, a gel-like material containing an intricate network of fibres that surrounds cells in tissues affects cell shape and cell migration. Cells can sense the mechanical properties of the matrix, such as its stiffness, by applying forces on the matrix. In response to matrix stiffness, cells change their shape and migratory behaviour. Cells communicate with neighbouring cells by applying forces on the matrix that locally stiffen the matrix. In this thesis, we study how such mechanical cell-cell communication coordinates the patterning of tissues. We have developed multiscale models that describe cell shape and migration, the extracellular matrix and cell-matrix interactions. Our simulations suggest that by communicating via forces on the matrix, cells can form networks. This process resembles dynamics of a cell culture model of blood vessel formation. Furthermore, simulated tissues that actively pull on the matrix can better align to pre-existing stresses in the matrix compared to less contractile tissues. A model that includes the molecular complexes mediating cell-matrix interactions can accurately predict how cell shape and cell motility depends on matrix stiffness

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green