Modelling the effects of cell-to-cell variability on the output of interconnected gene networks in bacterial populations

Table 3 Estimated parameters for the three-module network considered as a black-box function, for different noise models and entities, when the function is predicted from individual transfer functions derived from central tendency measures

Parameter:	$α_{O U T}^{*}$ [RPU]	$δ_{O U T}^{*}$ [RPU]	$k_{O U T}^{*}$ [nM]	$η_{O U T}^{*}$ [-]
constant CV	0.22 0.20 0.19 0.22 0.20 0.19 0.22 0.20 0.19 (6.5%)	0.28 0.30 0.31 0.28 0.30 0.31 0.28 0.30 0.31	16.86 18.51 19.53 20.00 22.25 23.67 23.03 25.84 27.63 (16%)	1.75 1.69 1.65 1.53 1.48 1.45 1.42 1.37 1.34 (9.7%)
constant VAR	0.22 0.22 0.21 0.22 0.22 0.22 0.22 0.22 0.22 (0.8%)	0.28 0.28 0.28 0.28 0.28 0.28 0.28 0.28 0.28	23.98 23.96 23.97 27.73 27.70 27.72 31.22 31.19 31.21 (11.3%)	1.90 1.90 1.89 1.92 1.92 1.92 1.92 1.92 1.92 (0.7%)

Parameters are obtained by fitting population-averaged values of OUTPUT₂ as a function of OUTPUT₁ for different noise models and entity, applied to OUTPUT₁. The 9 values reported in each cell correspond to a noise entity (which affects OUTPUT₁ in the identification step of the TetR/Ptet- and LacI/Plac-based NOT gate transfer function, respectively) of CV = 0.15-0.15, 0.15-0.55, 0.15-0.75, 0.55-0.15, 0.55-0.55, 0.55-0.75, 0.75-0.15, 0.75-0.55, 0.75-0.75 (for constant CV models) and to VAR = 0.05-0.05, 0.05-0.1, 0.05-0.15, 0.1-0.05, 0.1-0.1, 0.1-0.15, 0.15-0.05, 0.15-0.1, 0.15-0.15 (for constant VAR models). The CV among the estimated parameters is reported in brackets.

ISSN: 1752-0509