Journal
BIOCHIMICA ET BIOPHYSICA ACTA-BIOMEMBRANES
Volume 1758, Issue 7, Pages 908-914Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.bbamem.2006.04.018
Keywords
cell cycle; infrared micro-spectroscopy; artificial neural network; principal component analysis
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Funding
- NCI NIH HHS [R01 CA090346, CA 090346, R01 CA090346-04] Funding Source: Medline
- NCRR NIH HHS [RR-03037, G12 RR003037] Funding Source: Medline
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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 inummohistochemical 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. (c) 2006 Elsevier B.V. All rights reserved.
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