Monitoring cell cycle distributions in living cells by videomicrofluorometry and discriminant factorial analysis.
BACKGROUND
The study of the cell cycle of living cells is often based on quantification of nuclear DNA. These studies may be improved by multifactorial analysis evaluating several parameters for each cell.


METHODS
Single lymphoblastoid living cells were labeled with three fluorescent markers: Hoechst 33342 for nuclear DNA, Rhodamine 123 for mitochondria, and Nile Red for plasma membrane. Numerical image analysis allowed us to obtain, for each cell, morphological parameters (e.g., cell size, nuclear size, and shape) and functional information (e.g., nuclear DNA content, level of mitochondria energetic state, and the amount and properties of the plasma membrane) by fluorescence intensity. These parameters were used in a typological analysis that separated control cells into four groups.


RESULTS
A discriminant factorial analysis (DFA) confirmed the four groups: G0-G1, S, G2+M, and polyploid cells called Gn. These groups were significantly different, with a classification probability of 0.9999; these control cells defined a learning population. Different populations of untreated and adriamycin-treated cells were analyzed as additional individuals within a DFA and were classified into the G0-G1, S, G2+M, and Gn groups by their probability of belonging to each of the groups.


CONCLUSIONS
This approach is particularly efficient when it is used to determine variations in cellular properties and to objectively study cellular populations.
Savatier
Julien
J
Laboratoire de Biologie Physico-Chimique des Systèmes Intégrés, Université de Perpignan, 52 Avenue de Villeneuve, 66860 Perpignan Cedex, France. savatier@univ-perp.fr
Vigo
J
J
Salmon
J-M
JM
D002453:Cell Cycle; D002455:Cell Division; D045744:Cell Line, Tumor; D002467:Cell Nucleus / Q000378:metabolism; D002469:Cell Separation; D004317:Doxorubicin / Q000494:pharmacology; D005470:Fluorometry / Q000379:methods*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D007700:Kinetics; D008853:Microscopy; D013223:Statistics as Topic
D004317:Doxorubicin