Quantifying cell line specific proliferation and migration rates in glioblastoma cells
Keyword(s):
AbstractWe have characterised the migration and proliferation rates of a large number of patient-derived glioblastoma cell lines using an individual-based model coupled to an Approximate Bayesian Computation algorithm. We found that the cell lines exhibited a negative correlation between the rate of migration and rate of division. This observation agrees with the Go or Grow hypothesis and highlights patient-specific differences in migration and proliferation.
2021 ◽
Keyword(s):
2003 ◽
Vol 89
(11)
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pp. 2122-2132
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