Nal noise during development: concepts and mechanisms. Nat Rev Genet 2006, 7:34-44. 17. S l G, Kulkarni R, Dworkin J, Garcia-Ojalvo J, Elowitz M: Tunability and noise dependence in differentiation dynamics. Science 2007, 315:1716-1719. 18. Chang H, Hemberg M, Barahona M, Ingber D, Huang S: Transcriptomewide noise controls lineage choice in mammalian progenitor cells. Nature 2008, 453:544-547. 19. Samoilov M, Price G, Arkin A: From fluctuations to phenotypes: the physiology of noise. Sci STKE 2006, 2006:re17. 20. Veening J, Smits W, Kuipers O: Bistability, Epigenetics, and Bet-Hedging in Bacteria. Annu Rev Microbiol 2008, 62:193-210. 21. Kupiec JJ: A Darwinian theory for the origin of cellular differentiation. Mol Gen Genet 1997, 255:201-208. 22. Swain PS, Elowitz MB, Siggia ED: Intrinsic and extrinsic contributions to stochasticity in gene expression. Proc Natl Acad Sci USA 2002, 99(20):12795-800. 23. Paulsson J: Models of stochastic gene expression. Phys Life Rev 2005, 2(2):157-75. 24. Rigney DR, Schieve WC: Stochastic model of linear, continuous protein synthesis in bacterial populations. J Theor Biol 1977, 69:761-766. 25. Ko MS: A stochastic model for gene induction. J Theor Biol 1991, 153:181-194. 26. Peccoud J, Ycart B: Markovian Modeling of Gene-Product Synthesis. Theoretical Population Biology 1995, 48(2):Aprotinin clinical trials 222-234. 27. Kepler TB, Elston TC: Stochasticity in Transcriptional Regulation: Origins, Consequences, and Mathematical Representations. Biophys J 2001, 81(6):3116-36. 28. Thattai M, van Oudenaarden A: Intrinsic noise in gene regulatory networks. Proc Natl Acad Sci USA 2001, 98(15):8614-9. 29. Simpson M, PubMed ID:https://www.ncbi.nlm.nih.gov/pubmed/26509685 Cox C, Sayler G: Frequency domain analysis of noise in autoregulated gene circuits. Proc Natl Acad Sci USA 2003, 100:4551-4556. 30. Simpson M, Cox C, Sayler G: Frequency domain chemical Langevin analysis of stochasticity in gene transcriptional regulation. J Theor Biol 2004, 229:383-394. 31. Swain P: Efficient attenuation of stochasticity in gene expression through post-transcriptional control. J Mol Biol 2004, 344:965-976. 32. Paulsson J: Summing up the noise in gene networks. Nature 2004, 427:415-8. 33. van Zon J, Morelli M, Tanase-Nicola S, ten Wolde P: Diffusion of transcription factors can drastically enhance the noise in gene expression. Biophys J 2006, 91:4350-4367. 34. Cox CD, McCollum JM, Austin DW, Allen MS, Dar RD, Simpson ML: Frequency domain analysis of noise in simple gene circuits. Chaos 2006, 16:026102. 35. Lipniacki T, Paszek P, Marciniak-Czochra A, Brasier A, Kimmel M: Transcriptional stochasticity in gene expression. J Theor Biol 2006, 238:348-367. 36. Paszek P: Modeling stochasticity in gene regulation: characterization in the terms of the underlying distribution function. Bull Math Biol 2007, 69:1567-1601. 37. Innocentini G, Hornos J: Modeling stochastic gene expression under repression. J Math Biol 2007, 55:413-431. 38. Tao Y, Zheng X, Sun Y: Effect of feedback regulation on stochastic gene expression. J Theor Biol 2007, 247:827-836. 39. Hornung G, Barkai N: Noise propagation and signaling sensitivity in biological networks: a role for positive feedback. PLoS Comput Biol 2008, 4:e8. 40. Shahrezaei V, Swain PS: Analytical distributions for stochastic gene expression. Proc Natl Acad Sci USA 2008, 105(45):17256-61. 41. Pedraza J, Paulsson J: Effects of molecular memory and bursting on fluctuations in gene expression. Science 2008, 319:339-343.Coulon et al. BMC Systems Biology 2010, 4:2 http://www.biomedcentral.