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. 2013 Mar 28;9(3):e1002960. doi: 10.1371/journal.pcbi.1002960

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© 2013 Toni and Tidor

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.

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(A) Single gene expression model with transcriptional self-repression. (B) Examples of protein distribution dynamics under no feedback (top-most) and under negative feedback. Increased feedback strength ( top to bottom) resulted in lower means and variances. Reported are the measures of variability calculated for the steady-state distribution with Hill coefficient . (C) Effect of self-repression on variability when intrinsic stochasticity is the only source of variability, for Hill coefficient values of . (D) Effect of self-repression on the system with both intrinsic and extrinsic variability. Extrinsic variability is introduced into the transcription rate. Extrinsic variability in parameters (eqn. (13)): (red), (blue), (green), (black), (magenta) with Hill coefficient (full line; o), (dashed line; +).

Inline graphic — (A) Single gene expression model with transcriptional self-repression. (B) Examples of protein distribution dynamics under no feedback (top-most) and under negative feedback. Increased feedback strength ( top to bottom) resulted in lower means and variances. Reported are the measures of variability calculated for the steady-state distribution with Hill coefficient . (C) Effect of self-repression on variability when intrinsic stochasticity is the only source of variability, for Hill coefficient values of . (D) Effect of self-repression on the system with both intrinsic and extrinsic variability. Extrinsic variability is introduced into the transcription rate. Extrinsic variability in parameters (eqn. (13)): (red), (blue), (green), (black), (magenta) with Hill coefficient (full line; o), (dashed line; +).