Biophysical Profiling of Tumor Cell Lines
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 mem...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2011-01-01
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| Series: | Analytical Cellular Pathology |
| Online Access: | http://dx.doi.org/10.3233/ACP-2011-0015 |
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| _version_ | 1832556274197200896 |
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| author | Frederick Coffman Rachid Hamid Marion C. Cohen Ralph Garippa Stanley Cohen |
| author_facet | Frederick Coffman Rachid Hamid Marion C. Cohen Ralph Garippa Stanley Cohen |
| author_sort | Frederick Coffman |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-6257df84e0ae4890a672e300ca4f6eff |
| institution | Kabale University |
| issn | 2210-7177 2210-7185 |
| language | English |
| publishDate | 2011-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Analytical Cellular Pathology |
| spelling | doaj-art-6257df84e0ae4890a672e300ca4f6eff2025-02-03T05:45:54ZengWileyAnalytical Cellular Pathology2210-71772210-71852011-01-0134522523410.3233/ACP-2011-0015Biophysical Profiling of Tumor Cell LinesFrederick Coffman0Rachid Hamid1Marion C. Cohen2Ralph Garippa3Stanley Cohen4Department of Pathology, UMDNJ – New Jersey Medical School, Newark, NJ, USARoche Discovery, Roche Scientific, Nutley, NJ, USADepartment of Pathology, SUNY Downstate Medical Center, Brooklyn, NJ, USARoche Discovery, Roche Scientific, Nutley, NJ, USADepartment of Pathology, UMDNJ – New Jersey Medical School, Newark, NJ, USADespite 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.http://dx.doi.org/10.3233/ACP-2011-0015 |
| spellingShingle | Frederick Coffman Rachid Hamid Marion C. Cohen Ralph Garippa Stanley Cohen Biophysical Profiling of Tumor Cell Lines Analytical Cellular Pathology |
| title | Biophysical Profiling of Tumor Cell Lines |
| title_full | Biophysical Profiling of Tumor Cell Lines |
| title_fullStr | Biophysical Profiling of Tumor Cell Lines |
| title_full_unstemmed | Biophysical Profiling of Tumor Cell Lines |
| title_short | Biophysical Profiling of Tumor Cell Lines |
| title_sort | biophysical profiling of tumor cell lines |
| url | http://dx.doi.org/10.3233/ACP-2011-0015 |
| work_keys_str_mv | AT frederickcoffman biophysicalprofilingoftumorcelllines AT rachidhamid biophysicalprofilingoftumorcelllines AT marionccohen biophysicalprofilingoftumorcelllines AT ralphgarippa biophysicalprofilingoftumorcelllines AT stanleycohen biophysicalprofilingoftumorcelllines |