Single cell statistics of the wild type strain (mass doubling time ~100 min)

Range Table - link min
Organism Budding yeast Saccharomyces cerevisiae
Reference Oguz C et al., A stochastic model correctly predicts changes in budding yeast cell cycle dynamics upon periodic expression of CLN2. PLoS One. 2014 May 9 9(5):e96726. doi: 10.1371/journal.pone.0096726. p.4 table 2PubMed ID24816736
Method Abstract:"First, [investigators] estimate the model parameters using extensive data sets: phenotypes of 110 genetic strains, single cell statistics of wild type and cln3 strains. Optimization of stochastic model parameters is achieved by an automated algorithm [they] recently used for a deterministic cell cycle model. Next, in order to test the predictive ability of the stochastic model, [they] focus on a recent experimental study in which forced periodic expression of CLN2 cyclin (driven by MET3 promoter in cln3 background) has been used to synchronize budding yeast cell colonies."
Comments P.3 right column top paragraph:"Table 1 shows that after parameter optimization (six generations of DE [differential evolution] or 120 function evaluations), cln3 statistics are captured much better by the model (39% reduction in the fitting error), while overall fitting error in terms of wild type statistics (not enforced during optimization) remain unchanged (Table 2). [Investigators] also capture the abundances of key cell cycle proteins within threefold of experimental values [ref 15], [ref 16] as shown in Table S8 [BNID 112259]. In addition, [they] note that the stochastic simulation statistics presented in Tables 1, 2, and S8 have coefficient of variation (CV) values of less than 10% (low variability) among 15 independent realizations." See notes beneath table
Entered by Uri M
ID 112258