4.6 Article

Single cell nanoparticle tracking to model cell cycle dynamics and compartmental inheritance

Journal

CELL CYCLE
Volume 9, Issue 1, Pages 121-130

Publisher

TAYLOR & FRANCIS INC
DOI: 10.4161/cc.9.1.10246

Keywords

cell proliferation; cell lineage encoding; nanocrystal quantum dots; cell cycle; flow cytometry

Categories

Funding

  1. Research Councils UK Basic Technology Research Programme [GR/S23483]
  2. Biotechnology and Biological Sciences Research Council [75/E19292]
  3. BBSRC [BB/E012574/1] Funding Source: UKRI
  4. MRC [G0502180] Funding Source: UKRI
  5. Biotechnology and Biological Sciences Research Council [BB/E012574/1] Funding Source: researchfish
  6. Engineering and Physical Sciences Research Council [EP/G037841/1, EP/C513037/1] Funding Source: researchfish
  7. Medical Research Council [G0502180] Funding Source: researchfish

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Single cell encoding with quantum dots as live cell optical tracers for deriving proliferation parameters has been developed using modelling to investigate cell cycle and proliferative outputs of human osteosarcoma cells undergoing mitotic bypass and endocycle routing. A computer-based simulation of the evolving cell population provides information on the dilution and segregation of nanoparticle dose cell by cell division and allows quantitative assessment of patterns of division, at both single cell and including whole population level cell cycle routing, with no a priori knowledge of the population proliferation potential. the output therefore provides a unique mitotic distribution function that represents a convolution of cell cycle kinetics (cell division) and the partitioning coefficient for the labelled cell compartment (daughter-daughter inheritance or lineage asymmetry). The current study has shown that the cellular quantum dot fluorescence reduced over time as the particles were diluted by the process of cell division and had the properties of a non-random highly asymmetric event. Asymmetric nanoparticle segregation in the endosomal compartment has major implications on cell-fate determining signaling pathways and could lead to an understanding of the origins of unique proliferation and drug-resistance characteristics within a tumour cell lineage.

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