Book contents
- Frontmatter
- Contents
- 1 Introduction
- 2 Fundamental concepts
- 3 Probability functions
- 4 Significance testing and fit criteria
- 5 Regression analysis
- 6 Flow cytometric sources of variation
- 7 Immunofluorescence data
- 8 DNA histogram analysis
- 9 Cell-cycle kinetics
- 10 Dynamic cellular events
- 11 Multivariate analysis primer
- 12 Epilogue
- Appendix 1: Numerical integrating routine
- Appendix 2: Normal distribution probabilities
- Appendix 3: Variance ratio tables
- Appendix 4: Mann-Whitney U tables
- Appendix 5
- Appendix 6: Regression analysis for y on x
- Appendix 7
- Appendix 8
- Appendix 9
- References
- Index
10 - Dynamic cellular events
Published online by Cambridge University Press: 27 October 2009
- Frontmatter
- Contents
- 1 Introduction
- 2 Fundamental concepts
- 3 Probability functions
- 4 Significance testing and fit criteria
- 5 Regression analysis
- 6 Flow cytometric sources of variation
- 7 Immunofluorescence data
- 8 DNA histogram analysis
- 9 Cell-cycle kinetics
- 10 Dynamic cellular events
- 11 Multivariate analysis primer
- 12 Epilogue
- Appendix 1: Numerical integrating routine
- Appendix 2: Normal distribution probabilities
- Appendix 3: Variance ratio tables
- Appendix 4: Mann-Whitney U tables
- Appendix 5
- Appendix 6: Regression analysis for y on x
- Appendix 7
- Appendix 8
- Appendix 9
- References
- Index
Summary
Measurement of dynamic cellular events in intact cells under near physiological conditions, irrespective of the assay system, is arguably one of the most powerful techniques in cell biology, as physiological and pathological processes are not static but are continuously variable. It is becoming increasingly obvious that many of the initial events involved in cell proliferation, “activation” of all types and differentiation control take place within a time frame of seconds, but the ultimate effects of those initiating events (e.g. growth-factor stimulation, membrane calcium flux, pH changes and carcinogen interaction) may only become apparent some days, weeks or even years later. Clearly, an understanding of the dynamics of inappropriate or abnormal initiating events will be of crucial importance in attempts to modulate pathological states. This chapter addresses flow cytometric analysis procedures to measure dynamic events.
Incorporation of time
Incorporation of time in the data base is the most important single feature in the measurement of dynamic cellular processes using flow cytometry, and a number of different techniques have been implemented for this. Watson et al. (1977) used a continuous interrupted sampling technique, where the cells were continuously flowing through the instrument. The data-acquisition computer was instructed to record for 5 seconds and then wait for 10 seconds before re-commencing acquisition. During the interval between recordings the median of the population was calculated and printed out.
- Type
- Chapter
- Information
- Flow Cytometry Data AnalysisBasic Concepts and Statistics, pp. 197 - 240Publisher: Cambridge University PressPrint publication year: 1992