journal contribution
posted on 2023-03-31, 04:24 authored by Luana S. Lenz, Juliano L. Faccioni, Paula A. Bracco, Jephesson A.F. Santos, Luiza C. Pereira, Julieti H. Buss, Mauricio T. Tamborindeguy, Daphne Torgo, Thayana Monteiro, Giovana B. Mantovani, Carolina N. Santo, Julia C. Marcolin, Eloisa Dalsin, Alvaro Vigo, Sidia M. Callegari-Jacques, Andrew O. Silva, Giovana R. Onzi, Karine R. Begnini, Guido Lenz Supplementary Fig. S3Analysis of the desynchronization of colonies of cells expressing FastFUCCI. a, FUCCI simulation for a single, synchronized colony with 4 cells. At a given time point, all cells in the colony will all either be green or not. b, simulating multiple colonies gives rise to multimodal distributions of green cell percentage in colonies. c, adding a phase shift parameter allows cells in each colony to be out of sync, producing percentages of green cells in each colony other than 0% or 100% for a given observation point. d, by modifying the simulation parameters, various frequency distributions of the percentage of green cells can be obtained for several colonies. Note that a, b and c represent three specific time steps of a full simulation run, which must walk all cells around the cell cycle at least once, and produced a final distribution considering all evaluated time steps.
Funding
Ralph Weissleder
Markus Covert
Fundação de Amparo ã Pesquisa do Estado do Rio Grande do Sul
Conselho Nacional de Desenvolvimento Científico e Tecnológico
ICGEB
CAPES
History
ARTICLE ABSTRACT
Several phenotypes that impact the capacity of cancer cells to survive and proliferate are dynamic. Here we used the number of cells in colonies as an assessment of fitness and devised a novel method called Dynamic Fitness Analysis (DynaFit) to measure the dynamics in fitness over the course of colony formation. DynaFit is based on the variance in growth rate of a population of founder cells compared with the variance in growth rate of colonies with different sizes. DynaFit revealed that cell fitness in cancer cell lines, primary cancer cells, and fibroblasts under unhindered growth conditions is dynamic. Key cellular mechanisms such as ERK signaling and cell-cycle synchronization differed significantly among cells in colonies after 2 to 4 generations and became indistinguishable from randomly sampled cells regarding these features. In the presence of cytotoxic agents, colonies reduced their variance in growth rate when compared with their founder cell, indicating a dynamic nature in the capacity to survive and proliferate in the presence of a drug. This finding was supported by measurable differences in DNA damage and induction of senescence among cells of colonies. The presence of epigenetic modulators during the formation of colonies stabilized their fitness for at least four generations. Collectively, these results support the understanding that cancer cell fitness is dynamic and its modulation is a fundamental aspect to be considered in comprehending cancer cell biology and its response to therapeutic interventions.
Cancer cell fitness is dynamic over the course of the formation of colonies. This dynamic behavior is mediated by asymmetric mitosis, ERK activity, cell-cycle duration, and DNA repair capacity in the absence or presence of a drug.
