Validation of an Algorithm to Quantify Changes in Actin Cytoskeletal Organization

被引:16
作者
Vindin, Howard [1 ]
Bischof, Leanne [2 ]
Gunning, Peter [1 ]
Stehn, Justine [1 ]
机构
[1] Univ NSW, Oncol Res Unit, Sch Med Sci, Sydney, NSW 2052, Australia
[2] CSIRO Math Informat & Stat, Quantitat Imaging Grp, N Ryde, NSW, Australia
基金
英国医学研究理事会;
关键词
actin; cytoskeleton; high throughput; image analysis; drug development; STRESS FIBERS; POLYMERIZATION; RHO; BINDING; GTPASES; INHIBITION; PHALLOIDIN; TARGETS; FAMILY;
D O I
10.1177/1087057113503494
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The actin cytoskeleton plays an important role in most, if not all, processes necessary for cell survival. Given the fundamental role that the actin cytoskeleton plays in the progression of cancer, it is an ideal target for chemotherapy. Although it is possible to image the actin cytoskeleton in a high-throughput manner, there is currently no validated method to quantify changes in the cytoskeleton in the same capacity, which makes research into its organization and the development of anticytoskeletal drugs difficult. We have validated the use of a linear feature detection algorithm, allowing us to measure changes in actin filament organization. Its ability to quantify changes associated with cytoskeletal disruption will make it a valuable tool in the development of compounds that target the cytoskeleton in cancer. Our results show that this algorithm can quantify cytoskeletal changes in a cell-based system after addition of both well-established and novel anticytoskeletal agents using either fluorescence microscopy or a high-content imaging approach. This novel method gives us the potential to screen compounds in a high-throughput manner for cancer and other diseases in which the cytoskeleton plays a key role.
引用
收藏
页码:354 / 368
页数:15
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