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A transcriptional cycling model recapitulates chromatin-dependent features of noisy inducible transcription

Fig 7

Multi-step activation can be broken down into discrete activation lines which influence noise and protein counts by 24 hours.

(A-B) Average protein counts (A) and Fano factor (B) for the four activation options at 24 hours. Protein counts were generated through stochastic simulation for 1,000 cells for each parameter combination. Error bars represent 95% bootstrapped confidence intervals. (C) Simulated trajectory protein data of 50 representative cells out to 24 hours of the four activation lines with the four integrations. (D) Violin kernel fitting of protein distributions at basal conditions and at 24 hours of the four activation lines with the four integrations. Black bar represents the mean.

Fig 7

doi: https://doi.org/10.1371/journal.pcbi.1010152.g007