PLoS ONE · 2012 · 768 citations · 45 references
Natural SciencesCancer BiologyCell BiologyCell BiophysicsCytoskeletonMetastasisActin FilamentsAtomic Force MicroscopyCancer MechanobiologyCellular MechanicsCytoskeletal MechanicsOvarian CancerActin Cytoskeleton RemodelingCancer Cell MechanicsCell StiffnessMechanobiology Of MetastasisMetastatic Potential AssessmentPersonalized Cancer TreatmentStiffnessTumor Cell Invasiveness
The metastatic potential of cells is an important parameter in the design of optimal strategies for the personalized treatment of cancer. Using atomic force microscopy (AFM), we show, consistent with previous studies conducted in other types of epithelial cancer, that ovarian cancer cells are generally softer and display lower intrinsic variability in cell stiffness than non-malignant ovarian epithelial cells. A detailed examination of highly invasive ovarian cancer cells (HEY A8) relative to their less invasive parental cells (HEY), demonstrates that deformability is also an accurate biomarker of metastatic potential. Comparative gene expression analyses indicate that the reduced stiffness of highly metastatic HEY A8 cells is associated with actin cytoskeleton remodeling and microscopic examination of actin fiber structure in these cell lines is consistent with this prediction. Our results indicate that cell stiffness may be a useful biomarker to evaluate the relative metastatic potential of ovarian and perhaps other types of cancer cells.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
The Proceedings of the National Academy of Sciences
Jos W. Richards · Science · 1915 · 14.2K citations
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In silico prediction of protein-protein interactions in human macrophages
Oussema Souiai, Fatma Z. Guerfali, Slimane Ben Miled et al. · BMC Research Notes · 2014 · 11K citations · Full text