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. 2016 Aug 11;10:73. doi: 10.1186/s12918-016-0316-x

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© The Author(s). 2016

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 6 — Differentiation potential simulated using the CLE model with a wide range of intrinsic and extrinsic noise strengths. The combined intrinsic and extrinsic noise strength in the range of 10^-3 to 10^-1 was examined. a The differentiation potential of CT-treated glioma cells. b The differentiation potential of glioma cells treated with CT combined with inhibition of cyclin D1 feedback. The results were evaluated at 48 h. The inhibition of cyclin D1 feedback was simulated by increasing the value of the Michaelis constant (K _6a) of the cyclin D1 feedback loop by 10-fold in the CLE model