AI Article Synopsis

  • Cancer cells change how they act and respond to medicine as they grow and during treatment, so scientists need to study them closely over time.
  • We created special tools that can help us see and sort these cancer cells based on their unique characteristics using a method called flow cytometry.
  • Our research showed that some cancer cells react differently to chemotherapy; for example, cells with a certain marker are more likely to resist a common cancer drug, while others are more likely to be helped by it.

Article Abstract

The epigenetic signature of cancer cells varies with disease progression and drug treatment, necessitating the study of these modifications with single cell resolution over time. The rapid detection and sorting of cells based on their underlying epigenetic modifications by flow cytometry can enable single cell measurement and tracking to understand tumor heterogeneity and progression warranting the development of a live-cell compatible epigenome probes. In this work, we developed epigenetic probes based on bimolecular fluorescence complementation (BiFC) and demonstrated their capabilities in quantifying and sorting cells based on their epigenetic modification contents. The sorted cells are viable and exhibit distinctive responses to chemo-therapy drugs. Notably, subpopulations of MCF7 cells with higher H3K9me3 levels are more likely to develop resistance to Doxorubicin. Subpopulations with higher 5mC levels, on the other hand, tend to be more responsive. Overall, we report for the first time, the application of novel split probes in flow cytometry application and elucidated the potential role of 5mC and H3K9me3 in determining drug responses.

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Source
http://dx.doi.org/10.1002/cyto.a.24530DOI Listing

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