Data fitting
This protocol is extracted from research article:
Numerical operations in living cells by programmable RNA devices
Sci Adv, Aug 21, 2019; DOI: 10.1126/sciadv.aax0835

Data fitting shown in Fig. 3C was performed with gnuplot based on a nonlinear least-squares method. In the evaluation of ρi (i = 1 to 5), the relative expressions of a series of five-slot mRNAs, one to three slots of which responded to the identical miRNA (Fig. 3A), were experimentally determined. Then, 25 or 26 data points of the series were subjected to data fitting by eq. S4 (Supplementary Text) with the five parameters (ρi; i = 1 to 5) for each of the four model miRNAs. The mean values of the resulting parameters (20 data points in total) from three independent analyses were used for further data fitting to examine the relationship between the distance of a slot from the start codon and the sensitivity of the slot to an miRNA. According to eq. S5 (Supplementary Text) and an exponential model, ki = dix, a global variant, x, and four local variants: −log(ρmiR-34a-5p), −log(ρmiR-17-5p), −log(ρmiR-92a-3p), and −log(ρmiR-21-5p), were fitted to the mean values of the dataset.

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