Accès gratuit
Numéro
Med Sci (Paris)
Volume 31, Numéro 10, Octobre 2015
Page(s) 889 - 894
Section M/S Revues
DOI https://doi.org/10.1051/medsci/20153110015
Publié en ligne 19 octobre 2015
  1. Elowitz MB, Levine AJ, Siggia ED, et al. Stochastic gene expression in a single cell. Science 2002 ; 297 : 1183–1186. [CrossRef] [PubMed]
  2. Raser JM, O’Shea EK. Control of stochasticity in eukaryotic gene expression. Science 2004 ; 304 : 1811–1814. [CrossRef] [PubMed]
  3. Cai L, Friedman N, Xie XS. Stochastic protein expression in individual cells at the single molecule level. Nature 2006 ; 440 : 358–362. [CrossRef] [PubMed]
  4. Pedraza JM, van Oudenaarden A. Noise propagation in gene networks. Science 2005 ; 307 : 1965–1969. [CrossRef] [PubMed]
  5. Taniguchi Y, Choi PJ, Li GW, et al. Quantifying E. coli proteome and transcriptome with single-molecule sensitivity in single cells. Science 2010 ; 329 : 533–538. [CrossRef] [PubMed]
  6. Kiviet DJ, Nghe P, Walker N, et al. Stochasticity of metabolism and growth at the single-cell level. Nature 2014 ; 514 : 376–379. [CrossRef] [PubMed]
  7. Nghe P, Boulineau S, Tans SJ. Fluctuations aléatoires dans le métabolisme et la croissance cellulaires. Med Sci (Paris) 2015 ; 31 : 233–235. [CrossRef] [EDP Sciences] [PubMed]
  8. Yang S, Kim S, Lim YR, et al. Contribution of RNA polymerase concentration variation to protein expression noise. Nat Commun 2014 ; 5 : 4761. [CrossRef] [PubMed]
  9. Dunlop MJ, Cox RS, Levine JH, et al. Regulatory activity revealed by dynamic correlations in gene expression noise. Nat Genet 2008 ; 40 : 1493–1498. [CrossRef] [PubMed]
  10. Bowsher CG, Swain PS. Identifying sources of variation and the flow of information in biochemical networks. Proc Natl Acad Sci USA 2012 ; 109 : 1320–1328. [CrossRef]
  11. Delbrück M.. The burst size distribution in the growth of bacterial viruses (bacteriophages). J Bacteriol 1945 ; 50 : 131.
  12. Arkin A, Ross J, McAdams HH. Stochastic kinetic analysis of developmental pathway bifurcation in phage λ-infected Escherichia coli cells. Genetics 1998 ; 149 : 1633–1648. [PubMed]
  13. Kussell E, Leibler S. Phenotypic diversity, population growth, and information in fluctuating environments. Science 2005 ; 309 : 2075–2078. [CrossRef] [PubMed]
  14. Boulineau S, Tostevin F, Kiviet DJ, et al. Single-cell dynamics reveals sustained growth during diauxic shifts. PLoS One 2013 ; 8 : e61686. [CrossRef] [PubMed]
  15. Robert L, Paul G, Chen Y, et al. Pre-dispositions and epigenetic inheritance in the Escherichia coli lactose operon bistable switch. Mol Syst Biol 2010 ; 6 : 357. [CrossRef] [PubMed]
  16. Solopova A, van Gestel J, Weissing FJ, et al. Bet-hedging during bacterial diauxic shift. Proc Natl Acad Sci USA 2014 ; 111 : 7427–7432. [CrossRef]
  17. Novick A, Weiner M. Enzyme induction as an all-or-none phenomenon. Proc Natl Acad Sci USA 1957 ; 43 : 553–566. [CrossRef]
  18. Locke JC, Young JW, Fontes M, et al. Stochastic pulse regulation in bacterial stress response. Science 2011 ; 334 : 366–369. [CrossRef] [PubMed]
  19. Balaban NQ, Merrin J, Chait R, et al. Bacterial persistence as a phenotypic switch. Science 2004 ; 305 : 1622–1625. [CrossRef] [PubMed]
  20. Deris JB, Kim M, Zhang Z, et al. The innate growth bistability and fitness landscapes of antibiotic-resistant bacteria. Science 2013 ; 342 : 1237435. [CrossRef] [PubMed]
  21. Simons BD, Clevers H. Strategies for homeostatic stem cell self-renewal in adult tissues. Cell 2011 ; 145 : 851–862. [CrossRef] [PubMed]
  22. Abkowitz JL, Catlin SN, Guttorp P. Evidence that hematopoiesis may be a stochastic process in vivo. Nat Med 1996 ; 2 : 190–197. [CrossRef] [PubMed]
  23. Chang HH, Hemberg M, Barahona M, et al. Transcriptome-wide noise controls lineage choice in mammalian progenitor cells. Nature 2008 ; 453 : 544–547. [CrossRef] [PubMed]
  24. Gomes FL, Zhang G, Carbonell F, et al. Reconstruction of rat retinal progenitor cell lineages in vitro reveals a surprising degree of stochasticity in cell fate decisions. Development 2011 ; 138 : 227–235. [CrossRef] [PubMed]
  25. Lopez-Garcia C, Klein AM, Simons BD, et al. Intestinal stem cell replacement follows a pattern of neutral drift. Science 2010 ; 330 : 822–825. [CrossRef] [PubMed]
  26. Mascré G, Dekoninck S, Drogat B, et al. Distinct contribution of stem and progenitor cells to epidermal maintenance. Nature 2012 ; 489 : 257–262. [CrossRef] [PubMed]
  27. Buganim Y, Faddah DA, Cheng AW, et al. Single-cell expression analyses during cellular reprogramming reveal an early stochastic and a late hierarchic phase. Cell 2012 ; 150 : 1209–1222. [CrossRef] [PubMed]
  28. Fang M, Xie H, Dougan SK, et al. Stochastic cytokine expression induces mixed T helper cell states. PLoS Biol 2013 ; 11 : e1001618. [CrossRef] [PubMed]
  29. Brock A, Chang H, Huang S. Non-genetic heterogeneity: a mutation-independent driving force for the somatic evolution of tumours. Nat Rev Genet 2009 ; 10 : 336–342. [CrossRef] [PubMed]
  30. Gupta PB, Fillmore CM, Jiang G, et al. Stochastic state transitions give rise to phenotypic equilibrium in populations of cancer cells. Cell 2011 ; 146 : 633–644. [CrossRef] [PubMed]
  31. Driessens G, Beck B, Caauwe A, et al. Defining the mode of tumour growth by clonal analysis. Nature 2012 ; 488 : 527–530. [CrossRef] [PubMed]
  32. Roux J, Hafner M, Bandara S, et al. Fractional killing arises from cell-to-cell variability in overcoming a caspase activity threshold. Mol Syst Biol 2015 ; 11 : 803. [CrossRef] [PubMed]

Les statistiques affichées correspondent au cumul d'une part des vues des résumés de l'article et d'autre part des vues et téléchargements de l'article plein-texte (PDF, Full-HTML, ePub... selon les formats disponibles) sur la platefome Vision4Press.

Les statistiques sont disponibles avec un délai de 48 à 96 heures et sont mises à jour quotidiennement en semaine.

Le chargement des statistiques peut être long.