Biophysical Profiling of Tumor Cell Lines

Author:

Coffman Frederick1,Hamid Rachid2,Cohen Marion C.3,Garippa Ralph2,Cohen Stanley1

Affiliation:

1. Department of Pathology, UMDNJ – New Jersey Medical School, Newark, NJ, USA

2. Roche Discovery, Roche Scientific, Nutley, NJ, USA

3. Department of Pathology, SUNY Downstate Medical Center, Brooklyn, NJ, USA

Abstract

Despite significant differences in genetic profiles, cancer cells share common phenotypic properties, including membrane-associated changes that facilitate invasion and metastasis. The Corning Epic® optical biosensor was used to monitor dynamic mass rearrangements within and proximal to the cell membrane in tumor cell lines derived from cancers of the colon, bone, cervix, lung and breast. Data was collected in real time and required no exogenously added signaling moiety (signal-free technology). Cell lines displayed unique profiles over the time-courses: the time-courses all displayed initial signal increases to maximal values, but the rate of increase to those maxima and the value of those maxima were distinct for each cell line. The rate of decline following the maxima also differed among cell lines. There were correlations between the signal maxima and the observed metastatic behavior of the cells in xenograft experiments; for most cell types the cells that were more highly metastatic in mice had lower time-course maxima values, however the reverse was seen in breast cancer cells. The unique profiles of these cell lines and the correlation of at least one profile characteristic with metastatic behavior demonstrate the potential utility of biophysical tumor cell profiling in the study of cancer biology.

Publisher

Hindawi Limited

Subject

Cancer Research,Cell Biology,Molecular Medicine,General Medicine,Pathology and Forensic Medicine

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Three-Dimensional Cellular Raman Analysis: Evidence of Highly Ordered Lipids Within Cell Nuclei;Journal of Histochemistry & Cytochemistry;2018-08-23

2. Approaches for Probing Allosteric Interactions at 7 Transmembrane Spanning Receptors;Progress in Molecular Biology and Translational Science;2013

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