This figure shows the cumulative frequency distribution (CFD) for a sample consisting of the 1401 pluripotency gene ER parameter sets generated by ABC which best fit the synthetic data, i.e. SSA simulated data for the default stochastic ER pluripotency system (see Table B in S1 File). Núria Folguera-Blasco Elisabet Cuyàs Javier A. Menéndez Tomás Alarcón 10.1371/journal.pcbi.1006052.g006 https://plos.figshare.com/articles/figure/This_figure_shows_the_cumulative_frequency_distribution_CFD_for_a_sample_consisting_of_the_1401_pluripotency_gene_ER_parameter_sets_generated_by_ABC_which_best_fit_the_synthetic_data_i_e_SSA_simulated_data_for_the_default_stochastic_ER_pluripotency_system/5988019 <p>Out of these 1401 parameter sets, 29 satisfy the constraints associated with the pluripotency epiphenotype. Amongst these, 11 are found to show plastic behaviour. Another 1367 parameter sets generate bistability at <i>e</i><sub><i>HDM</i></sub> = <i>e</i><sub><i>HDAC</i></sub> = 1. The remaining 5 parameter sets are bistable at <i>e</i><sub><i>HDM</i></sub> = <i>e</i><sub><i>HDAC</i></sub> = 1 but they are rejected since their steady states do not correspond to open/closed situations. Colour code: blue and red lines correpond to the CFD of the plastic and refractory pluripotency epiphenotypes, respectively. Green lines correspond to the CFD of the parameters that generate bistability at <i>e</i><sub><i>HDM</i></sub> = <i>e</i><sub><i>HDAC</i></sub> = 1. Cyan lines correspond to the CFD of a uniform distribution, which we add for reference.</p> 2018-03-15 17:27:51 Epigenetic regulation histone modifiers cofactor levels redirects plastic cofactor variability ER configurations Approximate Bayesian Computation findings support cell state transitions histone-modifying enzymes ensemble model plastic states ER systems cell fate reprogramming cofactor fluctuations metabolism-responsive loss cofactor pools stochastically drives phenotypic variability