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/Subject(Cancer cell migration is a driving mechanism of invasion in solid malignant tumors. Anti-migratory treatments provide an alternative approach for managing disease progression. However, we currently lack scalable screening methods for identifying novel anti-migratory drugs. To this end, we develop a method that can estimate cell motility from single end-point images in vitro by estimating differences in the spatial distribution of cells and inferring proliferation and diffusion parameters using agent-based modeling and approximate Bayesian computation. To test the power of our method, we use it to investigate drug responses in a collection of 41 patient-derived glioblastoma cell cultures, identifying migration-associated pathways and drugs with potent anti-migratory effects. We validate our method and result in both in silico and in vitro using time-lapse imaging. Our proposed method applies to standard drug screen experiments, with no change needed, and emerges as a scalable approach to screen for anti-migratory drugs.)
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/Title(Inference of glioblastoma migration and proliferation rates using single time-point images)
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doi:10.1038/s42003-023-04750-0
Inference of glioblastoma migration and proliferation rates using single time-point images
Emil Rosén
Hitesh Bhagavanbhai Mangukiya
Ludmila Elfineh
Rebecka Stockgard
Cecilia Krona
Philip Gerlee
Sven Nelander
Springer US
Communications Biology, doi:10.1038/s42003-023-04750-0
Springer
2023-04-13T06:22:04+02:00
2023-04-12T19:33:17+05:30
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