U. Bhalla, P. Ram, and R. Iyengar, MAP Kinase Phosphatase As a Locus of Flexibility in a Mitogen-Activated Protein Kinase Signaling Network, Science, vol.297, issue.5583, pp.1018-1023, 2002.
DOI : 10.1126/science.1068873

S. Hooshangi, S. Thiberge, and R. Weiss, Ultrasensitivity and noise propagation in a synthetic transcriptional cascade, Proceedings of the National Academy of Sciences, vol.94, issue.2, pp.3581-3586, 2005.
DOI : 10.1016/S0168-9525(98)01659-X

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC552778

L. Cai, C. Dalal, and M. Elowitz, Frequency-modulated nuclear localization bursts coordinate gene regulation, Nature, vol.131, issue.7212, pp.485-490, 2008.
DOI : 10.1038/nature07292

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2695983

A. Celani and M. Vergassola, Bacterial strategies for chemotaxis response, Proceedings of the National Academy of Sciences, vol.58, issue.1, pp.1391-1396, 2010.
DOI : 10.1007/s00248-008-9468-6

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2824349

B. Baumgartner, Antagonistic gene transcripts regulate adaptation to new growth environments, Proceedings of the National Academy of Sciences, vol.12, issue.9, pp.21087-21092, 2011.
DOI : 10.1038/nature07118

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3248483

O. Shaughnessy, E. Palani, S. Collins, J. Sarkar, and C. , Tunable Signal Processing in Synthetic MAP Kinase Cascades, Cell, vol.144, issue.1, pp.119-131, 2011.
DOI : 10.1016/j.cell.2010.12.014

E. Walter and L. Pronzato, Identification of Parametric Models from Experimental Data, 1997.

M. Bennett, Metabolic gene regulation in a dynamically changing environment, Nature, vol.21, issue.7208, pp.1119-1122, 2008.
DOI : 10.1038/nature07211

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2654342

P. Hersen, M. Mcclean, L. Mahadevan, and S. Ramanathan, Signal processing by the HOG MAP kinase pathway, Proceedings of the National Academy of Sciences, vol.14, issue.10, pp.7165-7170, 2008.
DOI : 10.1111/j.1365-2958.2005.04605.x

URL : https://hal.archives-ouvertes.fr/hal-00321259

D. Muzzey, C. Gómez-uribe, J. Mettetal, and A. Van-oudenaarden, A Systems-Level Analysis of Perfect Adaptation in Yeast Osmoregulation, Cell, vol.138, issue.1, pp.160-171, 2009.
DOI : 10.1016/j.cell.2009.04.047

T. Shimizu, Y. Tu, and H. Berg, A modular gradient-sensing network for chemotaxis in Escherichia coli revealed by responses to time-varying stimuli, Molecular Systems Biology, vol.423, p.382, 2010.
DOI : 10.1073/pnas.97.9.4649

S. Pelet, Transient Activation of the HOG MAPK Pathway Regulates Bimodal Gene Expression, Science, vol.9, issue.8, pp.732-735, 2011.
DOI : 10.1016/j.cell.2010.05.031

C. Rao, Expanding the synthetic biology toolbox: engineering orthogonal regulators of gene expression, Current Opinion in Biotechnology, vol.23, issue.5, 2012.
DOI : 10.1016/j.copbio.2011.12.015

C. Voigt, Genetic parts to program bacteria, Current Opinion in Biotechnology, vol.17, issue.5, pp.548-557, 2006.
DOI : 10.1016/j.copbio.2006.09.001

A. Khalil and J. Collins, Synthetic biology: applications come of age, Nature Reviews Genetics, vol.325, issue.5, pp.367-379, 2010.
DOI : 10.1038/nrg2775

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2896386

M. Elowitz, A. Levine, E. Siggia, and P. Swain, Stochastic Gene Expression in a Single Cell, Science, vol.297, issue.5584, pp.1183-1186, 2002.
DOI : 10.1126/science.1070919

G. Balázsi, A. Van-oudenaarden, and J. Collins, Cellular Decision Making and Biological Noise: From Microbes to Mammals, Cell, vol.144, issue.6, pp.910-925, 2011.
DOI : 10.1016/j.cell.2011.01.030

B. Munsky, G. Neuert, and A. Van-oudenaarden, Using Gene Expression Noise to Understand Gene Regulation, Science, vol.81, issue.4, pp.183-187, 2012.
DOI : 10.1063/1.2145882

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3358231

A. Milias-argeitis, In silico feedback for in vivo regulation of a gene expression circuit, Nature Biotechnology, vol.5, issue.12, pp.1114-1116, 2011.
DOI : 10.1186/1754-1611-3-15

E. De-nadal, P. Alepuz, and F. Posas, Dealing with osmostress through MAP kinase activation, EMBO Reports, vol.3, issue.8, pp.735-740, 2002.
DOI : 10.1093/embo-reports/kvf158

S. Hohmann, Osmotic Stress Signaling and Osmoadaptation in Yeasts, Microbiology and Molecular Biology Reviews, vol.66, issue.2, pp.300-372, 2002.
DOI : 10.1128/MMBR.66.2.300-372.2002

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC120784

A. Miermont, J. Uhlendorf, M. Mcclean, and P. Hersen, The Dynamical Systems Properties of the HOG Signaling Cascade, Journal of Signal Transduction, vol.12, issue.18, p.930940, 2011.
DOI : 10.1038/ng1957

T. Yi, Y. Huang, M. Simon, and J. Doyle, Robust perfect adaptation in bacterial chemotaxis through integral feedback control, Proceedings of the National Academy of Sciences, vol.30, issue.3, pp.4649-4653, 2000.
DOI : 10.1111/j.1469-7793.1999.0643s.x

URL : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC18287/pdf

C. Ferreira, A Member of the Sugar Transporter Family, Stl1p Is the Glycerol/H+ Symporter in Saccharomyces cerevisiae, Molecular Biology of the Cell, vol.16, issue.4, pp.2068-2076, 2005.
DOI : 10.1091/mbc.E04-10-0884

O. Rourke, S. Herskowitz, and I. , Unique and Redundant Roles for HOG MAPK Pathway Components as Revealed by Whole-Genome Expression Analysis, Molecular Biology of the Cell, vol.15, issue.2, pp.532-542, 2004.
DOI : 10.1091/mbc.E03-07-0521

E. Klipp, B. Nordlander, R. Krüger, P. Gennemark, and S. Hohmann, Integrative model of the response of yeast to osmotic shock, Nature Biotechnology, vol.53, issue.8, pp.975-982, 2005.
DOI : 10.1016/0006-3002(58)90330-5

N. Hao, A Systems-Biology Analysis of Feedback Inhibition in the Sho1 Osmotic-Stress-Response Pathway, Current Biology, vol.17, issue.8, pp.659-667, 2007.
DOI : 10.1016/j.cub.2007.02.044

J. Mettetal, D. Muzzey, C. Gómez-uribe, and A. Van-oudenaarden, The Frequency Dependence of Osmo-Adaptation in Saccharomyces cerevisiae, Science, vol.3, issue.6, pp.482-484, 2008.
DOI : 10.1128/EC.3.6.1381-1390.2004

Z. Zi, W. Liebermeister, and E. Klipp, A Quantitative Study of the Hog1 MAPK Response to Fluctuating Osmotic Stress in Saccharomyces cerevisiae, PLoS ONE, vol.5, issue.3, p.9522, 2010.
DOI : 10.1371/journal.pone.0009522.s014

C. Zechner, Moment-based inference predicts bimodality in transient gene expression, Proceedings of the National Academy of Sciences, vol.153, issue.8, pp.8340-8345, 2012.
DOI : 10.1128/EC.4.8.1343-1352.2005

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3361437

R. Findeisen, L. Imsland, F. Allgower, and B. Foss, State and Output Feedback Nonlinear Model Predictive Control: An Overview, European Journal of Control, vol.9, issue.2-3, pp.179-195, 2003.
DOI : 10.3166/ejc.9.190-206

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

M. Tamás, Fps1p controls the accumulation and release of the compatible solute glycerol in yeast osmoregulation, Molecular Microbiology, vol.243, issue.4, pp.1087-1104, 1999.
DOI : 10.1105/tpc.7.8.1129

M. Csete and J. Doyle, Reverse Engineering of Biological Complexity, Science, vol.295, issue.5560, pp.1664-1669, 2002.
DOI : 10.1126/science.1069981

J. Uhlendorf, S. Bottani, F. Fages, P. Hersen, and G. Batt, TOWARDS REAL-TIME CONTROL OF GENE EXPRESSION: CONTROLLING THE HOG SIGNALING CASCADE, Pac Symp Biocomput, pp.338-349, 2011.
DOI : 10.1142/9789814335058_0035

F. Menolascina, M. Di-bernardo, and D. Di-bernardo, Analysis, design and implementation of a novel scheme for in-vivo control of synthetic gene regulatory networks, Automatica, vol.47, issue.6, pp.1265-1270, 2011.
DOI : 10.1016/j.automatica.2011.01.073

J. Toettcher, D. Gong, W. Lim, and O. Weiner, Light-based feedback for controlling intracellular signaling dynamics, Nature Methods, vol.497, issue.10, pp.837-839, 2011.
DOI : 10.1073/pnas.93.21.11400

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3184382

S. Regot, Distributed biological computation with multicellular engineered networks, Nature, vol.420, issue.7329, pp.207-211, 2011.
DOI : 10.1038/nature09679

D. Sprinzak, Cis-interactions between Notch and Delta generate mutually exclusive signalling states, Nature, vol.118, issue.7294, pp.86-90, 2010.
DOI : 10.1038/nature08959

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2886601

A. Edelstein, N. Amodaj, K. Hoover, R. Vale, and N. Stuurman, Computer control of microscopes using ?Manager, Curr Protoc Mol Biol, pp.10-1002, 2010.

W. Rasband, Available at http://imagej.nih.gov/ij, ImageJ (US National Institutes of Health, 1997.

D. Ballard, Generalizing the Hough transform to detect arbitrary shapes, Pattern Recognition, vol.13, issue.2, pp.111-122, 1981.
DOI : 10.1016/0031-3203(81)90009-1