Techniques in Cell Cycle Analysis

1. Front Matter

   Pages i-xviii

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2. Autoradiographic Techniques for Measurement of the Labeling Index

   • Linda Simpson-Herren

   Pages 1-29

3. Percent Labeled Mitosis Curve Analysis

   • Stanley E. Shackney, Paul S. Ritch

   Pages 31-45

4. Tumor Growth Fraction Estimation, Perturbation, and Prognostication

   • Paul G. Braunschweiger

   Pages 47-71

5. In Vitro Assays for Tumors Grown In Vivo

   • Janet S. Rasey

   Pages 73-91

6. Flow Cytokinetics

   • Joe W. Gray, Frank Dolbeare, Maria G. Pallavicini, Martin Vanderlaan

   Pages 93-137

7. Solid Tissue Dispersal for Cytokinetic Analyses

   • Maria G. Pallavicini

   Pages 139-162

8. Multivariate Cell Analysis

   • Harry A. Crissman, John A. Steinkamp

   Pages 163-206

9. Data Analysis in Cell Kinetics Research

   • Phillip N. Dean

   Pages 207-253

10. Cytochemical Probes of Cycling and Quiescent Cells Applicable to Flow Cytometry

    • Zbigniew Darzynkiewicz

    Pages 255-290

11. Assay of Cell Cycle Kinetics by Multivariate Flow Cytometry Using the Principle of Stathmokinesis

    • Zbigniew Darzynkiewicz, Frank Traganos, Marek Kimmel

    Pages 291-336

12. Flow Cytometric Studies on Intracellular Drug Fluorescence

    • Awtar Krishan

    Pages 337-366

13. Cell Synchrony Techniques

    • David J. Grdina, Marvin L. Meistrich, Raymond E. Meyn, Tod S. Johnson, R. Allen White

    Pages 367-402

14. Back Matter

    Pages 403-407

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Quantification of the proliferative characteristics of normal and malignant cells has been of interest to oncolo­ gists and cancer biologists for almost three decades. This interest stems from (a) the fact that cancer is a disease of uncontrolled proliferation, (b) the finding that many of the commonly used anticancer agents are preferentially toxic to cells that are actively proliferating, and (c) the observa­ tion that significant differences in proliferation characteristics exist between normal and malignant cells. Initially, cell cycle analysis was pursued enthusiastically in the hope of gener­ ating information useful for the development of rational cancer therapy strategies; for example, by allowing identi­ fication of rapidly proliferating tumors against which cell cycle-specific agents could be used with maximum effec­ tiveness and by allowing rational scheduling of cell cyc- specific therapeutic agents to maximize the therapeutic ratio. Unfortunately, several difficulties haveprevented realiza­ tion of the early promise of cell cycle analysis: Proliferative patterns of the normal and malignant tissues have been found to be substantially more complex than originally an­ ticipated, and synchronization of human tumors has proved remarkably difficult. Human tumors of the same type have proved highly variable, and the cytokinetic tools available for cell cycle analysis have been labor intensive, as well as somewhat subjective and in many cases inapplicable to humans. However, the potential for substantially improved cancer therapy remains if more accurate cytokinetic infor­ mation about human malignancies and normal tissues can be obtained in a timely fashion.

• cancer
• cell
• cell cycle
• cytokine
• development
• flow cytometry
• proliferation
• tissue
• tumor
• Vivo

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