Quantitative analysis of F-actin redistribution in astrocytoma cells treated with candidate pharmaceuticals.

摘要: Actin fibers (F-actin) control the shape and internal organization of cells, generate force. It has been long appreciated that these functions are tightly coupled, in some cases drive cell behavior fate. The distribution dynamics F-actin is different cancer versus normal cells response to small molecules, including actin-targeting natural products anticancer drugs. Therefore, quantifying actin structural changes from high resolution fluorescence micrographs necessary for further understanding cytoskeleton phenotypic consequences drug interactions on cells. We applied an artificial neural network algorithm, which used image intensity anisotropy measurements, quantitatively classify subcellular features into along edges at protrusions punctate signals. algorithm measured significant increase with concomitant decrease astrocytoma lacking functional neurofibromin p53 when treated three structurally-distinct molecules: OSW1, Schweinfurthin A (SA) a synthetic marine compound 23'-dehydroxycephalostatin 1. Distinctly were inhibitor cytochalasin B. These measurements support published reports SA acts NF1−/− deficient through Rho signaling. Quantitative pattern analysis wide applications mechanisms because many anti-cancer drugs directly or indirectly target cytoskeletal proteins. Furthermore, quantitative information about may make it possible understand fate decisions using mathematically testable models. Published 2014 Wiley Periodicals Inc.