Jean Clairambault: articles

  • Goldman, A., Kohandel, M., Clairambault, J. Integrating Biological and Mathematical Models to Explain and Overcome Drug Resistance in Cancer, Part 1: Biological Facts and Studies in Drug Resistance, Current Stem Cell Reports, 3:253-259 (read-only version; notice, DOI: 10.1007/s40778-017-0097-1), and Part 2: From Theoretical Biology to Mathematical Models, Current Stem Cell Reports, 3:260-268 (read-only version; notice, DOI: 10.1007/s40778-017-0098-0). Current Stem Cell Reports, published online, August 2017

  • Pouchol, C., Clairambault, J., Lorz, A., Trélat, E. Asymptotic study and optimal control of integrodifferential systems modelling healthy and cancer cells exposed to chemotherapy. Journal de Mathématiques Pures et Appliquées, published online, October 2017, doi:10.1016/j.matpur.2017.10.007, preprint available, ArXiv reference

  • Clairambault, J., Fercoq, O. Physiologically structured cell population dynamic models with applications to combined drug delivery optimisation in oncology. Mathematical Modelling of Natural Phenomena, 11(6):45-70, 2016. Preprint available

  • Bocharov, G., Bouchnita, A., Clairambault, J., Volpert, V. Mathematics of Pharmacokinetics and Pharmacodynamics: Diversity of Topics, Models and Methods. Mathematical Modelling of Natural Phenomena, December 2016, issue 6. Preprint available

  • Chisholm, R.H., Lorenzi, T., Clairambault, J. Cell population heterogeneity and evolution towards drug resistance in cancer: biological and mathematical assessment, theoretical treatment optimisation. BBA General Subjects, special issue on system genetics, 1860:2627-2645, 2016

  • Lorenzi, T., Chisholm, R.H., Clairambault, J. Tracking the evolution of cancer cell populations through the mathematical lens of phenotype-structured equations. Biology Direct, Online, August 2016. Available online in open access.

  • Chisholm, R.H., Lorenzi, T., Lorz, A., Larsen, A.K., Almeida, L., Escargueil, A., Clairambault, J. Emergence of reversible drug tolerance in cancer cell populations: an evolutionary outcome of selection, non-genetic instability and stress-induced adaptation. Cancer Research, 75(6):930-939, 2015. Published on line January 2015

  • Lorz, A., Lorenzi, T., Clairambault, J., Escargueil, A., Perthame, B. Effects of space structure and combination therapies on phenotypic heterogeneity and drug resistance in solid tumors. Bull. Math. Biol., 77(1):1-22, 2015. Preprint available

  • Eliaš, J., Clairambault, J. Reaction-diffusion systems for spatio-temporal intracellular protein networks: a beginner's guide with two examples. Computational and Structural Biotechnology Journal, 10:14-22, 2014. Available on line in open access.

  • Avila Alonso, J.L., Bonnet, C., Clairambault , J., Özbay, H., Niculescu, S.-I., Merhi, F., Ballesta, A., Tang, RP., Marie, J.-P. Analysis of a New Model of Cell Population Dynamics in Acute Myeloid Leukemia. In ''Delay Systems : From Theory to Numerics and Applications'', T. Vyhlídal, J.-F. Lafay, R. Sipahi eds, pp. 315-328, Advances in Delays and Dynamics series, Springer, New York, 2014. Preprint available.

  • Eliaš, J., Dimitrio, L., Clairambault, J., Natalini, R. Modelling p53 dynamics in single cells: physiologically based ODE and reaction-diffusion PDE models. IOP Physical Biology, vol. 11, number 4, 045001, 2014. Preprint available

  • Clairambault, J. Deterministic mathematical modelling for cancer chronotherapeutics: cell population dynamics and treatment optimisation. In "Mathematical Oncology 2013", A. d'Onofrio and A. Gandolfi Eds., Part III, pp. 265-294, Birkhäuser, New York, 2014. Preprint available

  • Eliaš, J., Dimitrio, L., Clairambault, J., Natalini, R. The p53 protein and its molecular network: modelling a missing link between DNA damage and cell fate. Biochimica et Biophysica Acta (BBA Proteins and Proteomics), 1844:232-247, 2014.

  • Ballesta, A., Clairambault, J. Physiologically based mathematical models to optimize therapies against metastatic colorectal cancer: a mini-review. Current Pharmaceutical Design, 2014; 20(1):37-48. Pubmed abstract, and corrected proofs, published on line, March 2013.

  • Billy, F., Clairambault, J., Delaunay, F., Feillet, C., Robert, N. Age-structured cell population model to study the influence of growth factors on cell cycle dynamics. Mathematical Biosciences and Engineering, 10(1):1-17, 2013. Preprint available

  • Billy, F., Clairambault, J. Designing proliferating cell population models with functional targets for control by anti-cancer drugs. DCDS-B, 18(4):865-889, 2013. In Special issue on cancer modelling or Preprint

  • Dimitrio, L., Clairambault, J., Natalini, R. A spatial physiological model for p53 intracellular dynamics. Journal of Theoretical Biology, 316:9-24, 2013. Preprint available

  • Lorz, A., Lorenzi, T., Hochberg, M.E., Clairambault, J., Perthame, B. Populational adaptive evolution, chemotherapeutic resistance and multiple anti-cancer therapies. Mathematical Modelling and Numerical Analysis, 47:377-399, 2013. DOI: http://dx.doi.org/10.1051/m2an/2012031 Preprint available

  • Ballesta, A., Clairambault, J., Dulong, S., Lévi, F. A systems biomedicine approach for chronotherapeutics optimization: focus on the anticancer drug irinotecan. In: ''New Challenges for Cancer Systems Biomedicine'', D'Onofrio, Alberto, Cerrai, Paola, Gandolfi, Alberto Eds., Part V, pp. 301-327, SIMAI Lecture Notes, Springer, New York, 2012. Preprint available

  • Billy, F., Clairambault, J., Fercoq, O. Optimisation of cancer drug treatments using cell population dynamics. In "Mathematical Models and Methods in Biomedicine'', A. Friedman, E. Kashdan, U. Ledzewicz and H. Schättler Eds., Part 4, pp. 265-309, Springer, New-York, 2013. Preprint available

  • Billy, F., Clairambault, J., Fercoq, O., Gaubert, S., Lepoutre, T., Ouillon, T., Saito, S. Synchronisation and control of proliferation in cycling cell population models with age structure. Mathematics and Computers in Simulation, 96:66-94, 2014. Available on line, April 2012, http://dx.doi.org/10.1016/j.matcom.2012.03.005.

  • Özbay, H., Bonnet, C., Benjelloun, H., Clairambault, J. Stability analysis of cell dynamics in leukemia. Mathematical Modelling of Natural Phenomena, 7(1):203-234, 2012.

  • Ballesta, A., Dulong, S., Abbara, C., Cohen, B., Okyar, A., Clairambault, J., Levi, F. A Combined Experimental and Mathematical Approach for Molecular-based Optimization of Irinotecan Circadian Delivery. PLoS Comput Biol 7(9): e1002143. doi:10.1371/journal.pcbi.1002143, 2011.

  • Clairambault, J. Optimising cancer pharmacotherapeutics using mathematical modelling and a systems biology approach. Personalized Medicine, 8(3):271-286, 2011.

  • Ballesta, A., Clairambault, J., Dulong, S., Lévi, F. Theoretical Optimization of Irinotecan-based Anticancer Strategies in case of Drug-induced Efflux. Applied Mathematics Letters, 24(7):1251-56, 2011.

  • Clairambault, J., Gaubert, S., Lepoutre, T. Circadian rhythm and cell population growth. Mathematical and Computer Modelling, 53:1558-1567, 2011.

  • Lévi, F., Okyar, A., Dulong, S., Innominato, P.F., Clairambault, J. Circadian Timing in Cancer Treatments. Annual Review of Pharmacology and Toxicology, Vol. 50:377-421, 2010.

  • Steimer, J.-L., Dahl, S.G., De Alwis, D., Gundert-Remy, U., Karlsson, M., Martinkova, J., Aarons, L., Ahr, H.-J., Clairambault, J., Freyer, G., Friberg, L. , Ludwig, W.-D., De Nicolao, G., Rocchetti, M., Troconiz, I.F. Modelling the genesis and treatment of cancer: the potential role of physiologically-based pharmacodynamics. European Journal of Cancer, 46(1):21-32, 2010.

  • Clairambault, J. Modelling physiological and pharmacological control on cell proliferation to optimise cancer treatments. Mathematical Modelling of Natural Phenomena, 4(3):12-67, 2009.

  • Clairambault, J., Gaubert, S., Lepoutre, T. Comparison of Perron and Floquet eigenvalues in age structured cell division models. Mathematical Modelling of Natural Phenomena, 4(3):183-209, 2009.

  • Lévi, F., Altinok, A., Clairambault, J., Goldbeter, A. Implications of circadian clocks for the rhythmic delivery of cancer therapeutics. Phil. Trans. Roy. Soc. A, 366(1880):3575-3598, 2008.

  • Adimy, M., Bernard, S., Clairambault, J., Crauste, F., Génieys, S., Pujo-Menjouet, L. Modélisation de la dynamique de l'hématopoïèse normale et pathologique. Hématologie, 14(5):339-350, 2008.

  • Clairambault, J. A Step Toward Optimization of Cancer Therapeutics. Physiologically Based Modeling of Circadian Control on Cell Proliferation. IEEE-EMB Magazine, 27(1):20-24, 2008.

  • Bekkal Brikci, F., Clairambault, J., Ribba, B., Perthame, B. An age-and-cyclin-structured cell population model for healthy and tumoral tissues, Journal of Mathematical Biology, 57(1):91-110, 2008.

  • Bekkal Brikci, F., Clairambault, J., Perthame, B. Analysis of a molecular structured population model with polynomial growth for the cell cycle, Mathematical and Computer Modelling, 47(7-8): 699-713, 2008.

  • Clairambault, J., Gaubert, S., Perthame, B. An inequality for the Perron and Floquet eigenvalues of monotone differential systems and age structured equations. C. R. Acad. Sci. (Paris) Ser. I Mathématique, 345(10):549-554, 2007.

  • Clairambault, J. Modeling oxaliplatin drug delivery to circadian rhythm in drug metabolism and host tolerance. Advanced Drug Delivery Reviews (ADDR), 59:1054-1068, 2007.

  • Clairambault, J., Michel, Ph., Perthame, B. Circadian rhythm and tumour growth. C. R. Acad. Sci. (Paris) Ser. I Mathématique, 342(1):17-22, 2006.

  • Basdevant, C., Clairambault, J., Lévi, F. Optimisation of time-scheduled regimen for anti-cancer drug infusion. Mathematical Modelling and Numerical Analysis, 39(6):1069-1086, 2005.

  • Clairambault, J., Claude, D., Filipski, E., Granda, T., Lévi, F. Toxicité et efficacité antitumorale de l'oxaliplatine sur l'ostéosarcome de Glasgow induit chez la souris : un modèle mathématique. Pathologie-Biologie, 51:212-215, 2003.

  • Claude, D., Clairambault, J. Period shift induction by intermittent stimulation in a Drosophila model of PER protein oscillations, Chronobiology International, 17(1):1-14, 2000.

  • Swynghedauw, B., Jasson, S., Clairambault, J., Chevalier, B., Heymes, C., Médigue, C., Carré, F., Mansier, P. Myocardial determinants in regulation of the heart rate. Journal of Molecular Medicine, 75:860-866, 1997.

  • Mansier, P., Médigue, C., Charlotte, N., Vermeiren, C., Coraboeuf, E., Deroubai, E., Ratner, E., Chevalier, B., Clairambault, J., Carré, F., Dahkli, T., Bertin, B., Briand, P., Strosberg, D., Swynghedauw, B. Decreased heart rate variability in transgenic mice overexpressing atrial $\beta_1$-adrenoceptors. American Journal of Physiology, 271:H1465-H1472, 1996.

  • Mansier, P., Clairambault, J., Charlotte, N., Médigue, C., Vermeiren, C., LePape, G., Carré, F., Gounaropoulou, A., Swynghedauw, B. Linear and non-linear analyses of heart rate variability: a minireview. Cardiovascular Research, 31:371-379, 1996.

  • Spassov, L., Curzi-Dascalova, L., Clairambault, J., Kauffmann, F., Médigue, C., Peirano, P. Heart rate and heart rate variability in small-for-gestational-age newborns. Pediatric Research, 35:500-505, 1994.

  • Eiselt, M., Curzi-Dascalova, L., Clairambault, J., Médigue, C., Peirano, P. Heart-rate variability in low-risk prematurely born infants reaching normal term: a comparison with full-term newborns. Early Human Development, 32, 183-195, 1993.

  • Clairambault, J., Curzi-Dascalova, L., Kauffmann, F. Médigue, C., Leffler, C. Heart Rate Variability in normal sleeping full-term and preterm neonates. Early Human Development, 28:169-183, 1992.

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