The Palette of Techniques for Cell Cycle Analysis

    May 2020 in “ FEBS Letters
    Anna E. Eastman, Shangqin Guo
    TLDR New techniques improve understanding of cell cycle dynamics at the single-cell level.
    The document reviewed various techniques for cell cycle analysis, focusing on their benefits, limitations, and trade-offs. It highlighted the biochemical regulation of the eukaryotic cell cycle, the challenges faced by cell cycle-targeting drugs in cancer, and the importance of excluding dead or dying cells for accurate profiling. Techniques such as synchronization strategies, in silico synchronization, DNA-binding dyes, and thymidine analogs were discussed for their roles in identifying cell cycle phases. The document also explored antibody-based classification, fluorescent protein tags, and label-free techniques using artificial intelligence. It emphasized the significance of understanding cellular heterogeneity and the need for innovative techniques to improve accuracy and resolution in cell cycle dynamics, particularly in cancer research. The conclusion suggested that combining multiple techniques could provide a comprehensive understanding of cell cycle dynamics.
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