Cell-cycle-dependent variations in FTIR micro-spectra of single proliferating HeLa cells: Principal component and artificial neural network analysis |
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Authors: | Susie Boydston-White Melissa Romeo Tatyana Chernenko Miloš Miljkovi? Max Diem |
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Institution: | a Department of Chemistry and Biochemistry, Hunter College of the City University of New York, 695 Park Avenue, New York, NY 10021, USA b Department of Chemistry and Chemical Biology, Northeastern University, Hurtig Hall, Boston, MA 02115, USA |
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Abstract: | We have previously reported spectral differences for cells at different stages of the eukaryotic cell division cycle. These differences are due to the drastic biochemical and morphological changes that occur as a consequence of cell proliferation. We correlate these changes in FTIR absorption and Raman spectra of individual cells with their biochemical age (or phase in the cell cycle), determined by immunohistochemical staining to detect the appearance (and subsequent disappearance) of cell-cycle-specific cyclins, and/or the occurrence of DNA synthesis. Once spectra were correlated with their cells' staining patterns, we used methods of multivariate statistics to analyze the changes in cellular spectra as a function of cell cycle phase. |
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Keywords: | Cell cycle Infrared micro-spectroscopy Artificial neural network Principal component analysis |
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