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Author(s): Robert K. Y. Cheng [1]; Cdric Fiez-Vandal [1]; Oliver Schlenker [1]; Karl Edman [2]; Birte Aggeler [3]; Dean G. Brown [4]; Giles A. Brown [1]; Robert M. Cooke [1]; [...]

Due to their inherent nature, DNA strands can be easily broken by various environmental factors including chemical agents and ionizing radiation. Unrepaired DNA double-stranded breaks (DSBs) may result in genetic instability and have a strong negative impact on the integrity of the genome. It has been found that DSBs are always followed by phosphorylation of histone protein H2AX, a member of the H2A family, and immunocytochemical detection of phosphorylated H2AX (referred to as γ-H2AX) is one of the frequently used techniques for assessing DNA damage. Usually such an assessment is done manually under the microscope which is not practical for analyzing large numbers of cells and prevents researchers from rapid and unbiased testing of novel drug compounds. To solve this problem we attempted to do automated assessment of DSBs by using a High-Content Screening (HCS) platform. As a result of this effort, we developed an easy to run HCS protocol for accurate analysis of DSBs in HeLa cells treated with camptothecin as a model. By varying the time of camptothecin treatment and its concentration we were able to study the dynamics of DSBs and perform a statistical analysis.Results of our study indicate that DSBs can be investigated using a HCS platform that enable the analysis of large numbers of experimental data points in a fast and a highly accurate manner. The protocol presented in this chapter can be easily adapted for screening libraries containing substantial numbers of chemical compounds for their efficiency to induce or/and repair DNA breaks.

Flow cytometry is a powerful technique that allows simultaneous detection of multiple markers on a specific cell population. This method is virtually unlimited as long as the specimen of interest can be put into a single-cell suspension for staining and subsequent analysis by the flow cytometer. Most investigators using this methodology are doing so because their cell population is rare in frequency and requires multiple markers to characterize their population of interest; thus standard methods such as Western blot and IHC are unsuitable due to limitations in cell number and the number of markers available. Most investigators using this method are using 6-14 parameters to study their cell populations of interest: however, using a large number of fluorochrome-labeled antibodies is hampered by the fact that suboptimal fluorochromes must be used, and that high and low cell density markers must be chosen with care. This is further complicated when the cell markers of interest are cytokines, transcription factors, surface markers, and/or phosphorylated proteins, each potentially requiring a specialized buffer system for optimal detection of the antibody of interest. This chapter focuses on optimizing flow cytometry staining methods for simultaneous detection of surface markers, transcription factors, secreted cytokines, and phosphorylated antibodies in a single stain on CD4+ human Th2 cells.