title: From in vitro to in silico and back again: using biological and mathematical synergy to decipher breast cancer cell motility.
abstract: The complexity of biological systems is often prohibitive in testing specific hypotheses from first physical principles. To circumvent these limitations we used biological data to inform a mathematical model of breast cancer cell motility. Using this in silico model we were able to accurately assess the influence of actin cytoskeletal architecture on the motility of a genetically modified breast cancer cell line. Furthermore, using the in silico model revealed a biological phenomenon that has not been previously described in live cell movement. Fusing biology and mathematics as presented here represents a new direction for biomedical research in which advances in each field synergistically drive discoveries in the other.
authors.affiliation: University of Michigan Comprehensive Cancer Center, University of Michigan, Ann Arbor, MI 48109, USA. devinr@med.umich.edu
authors.forename: Devin T
authors.initials: DT
authors.lastname: Rosenthal
authors.forename: Harish
authors.initials: H
authors.lastname: Iyer
authors.forename: Silvia
authors.initials: S
authors.lastname: Escudero
authors.forename: Alejandra C
authors.initials: AC
authors.lastname: Ventura
authors.forename: Ellen M
authors.initials: EM
authors.lastname: Arruda
authors.forename: Krishna
authors.initials: K
authors.lastname: Garikipati
authors.forename: Sofia D
authors.initials: SD
authors.lastname: Merajver
mesh_terms: D001943:Breast Neoplasms / Q000473:pathology* / Q000503:physiopathology*; D045744:Cell Line, Tumor; D002465:Cell Movement; D003198:Computer Simulation; D003599:Cytoskeleton / Q000378:metabolism*; D006801:Humans; D040542:Mechanotransduction, Cellular; D008954:Models, Biological; D009361:Neoplasm Invasiveness / Q000473:pathology / Q000503:physiopathology; D048051:p38 Mitogen-Activated Protein Kinases / Q000378:metabolism*
chemical_list: D048051:p38 Mitogen-Activated Protein Kinases