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Items: 1 to 20 of 92

1.

Generalized principles of stochasticity can be used to control dynamic heterogeneity.

Liao D, Estévez-Salmerón L, Tlsty TD.

Phys Biol. 2012 Dec;9(6):065006. doi: 10.1088/1478-3975/9/6/065006. Epub 2012 Nov 29.

2.

Conceptualizing a tool to optimize therapy based on dynamic heterogeneity.

Liao D, Estévez-Salmerón L, Tlsty TD.

Phys Biol. 2012 Dec;9(6):065005. doi: 10.1088/1478-3975/9/6/065005. Epub 2012 Nov 29.

4.

Noise-Driven Phenotypic Heterogeneity with Finite Correlation Time in Clonal Populations.

Lee U, Skinner JJ, Reinitz J, Rosner MR, Kim EJ.

PLoS One. 2015 Jul 23;10(7):e0132397. doi: 10.1371/journal.pone.0132397. eCollection 2015.

5.

Tumor progression, oncogenes and the evolution of metastatic phenotypic diversity.

Nicolson GL.

Clin Exp Metastasis. 1984 Apr-Jun;2(2):85-105. No abstract available.

PMID:
6543697
6.

Dynamic heterogeneity and metastasis.

Ling V, Chambers AF, Harris JF, Hill RP.

J Cell Physiol Suppl. 1984;3:99-103.

PMID:
6589232
7.

Stochastic phenotypic interconversion in tumors can generate heterogeneity.

Simone G.

Eur Biophys J. 2017 Mar;46(2):189-194. doi: 10.1007/s00249-016-1190-6. Epub 2016 Dec 9. Erratum in: Eur Biophys J. 2017 Jul 15;:.

PMID:
27942765
8.

Characterization of phenotypic switching in Cryptococcus neoformans biofilms.

Martinez LR, Ibom DC, Casadevall A, Fries BC.

Mycopathologia. 2008 Oct;166(4):175-80. doi: 10.1007/s11046-008-9133-0. Epub 2008 Jun 21.

9.

Defining, distinguishing and detecting the contribution of heterogeneous methylation to cancer heterogeneity.

Pisanic TR 2nd, Athamanolap P, Wang TH.

Semin Cell Dev Biol. 2017 Apr;64:5-17. doi: 10.1016/j.semcdb.2016.08.030. Epub 2016 Aug 28. Review.

PMID:
27582426
10.

[Tumor heterogeneity and the mechanisms of natural resistance in the metastatic process].

Kiseleva EG.

Eksp Onkol. 1988;10(1):3-8. Review. Russian.

PMID:
3286222
11.

The stochastic nature of biochemical networks.

Shahrezaei V, Swain PS.

Curr Opin Biotechnol. 2008 Aug;19(4):369-74. doi: 10.1016/j.copbio.2008.06.011. Epub 2008 Aug 9. Review.

PMID:
18662776
13.

Stochasticity in gene expression: from theories to phenotypes.

Kaern M, Elston TC, Blake WJ, Collins JJ.

Nat Rev Genet. 2005 Jun;6(6):451-64. Review.

PMID:
15883588
14.
15.

Dynamic computational model suggests that cellular citizenship is fundamental for selective tumor apoptosis.

Olsen M, Siegelmann-Danieli N, Siegelmann HT.

PLoS One. 2010 May 13;5(5):e10637. doi: 10.1371/journal.pone.0010637.

16.

Optimality of collective choices: a stochastic approach.

Nicolis SC, Detrain C, Demolin D, Deneubourg JL.

Bull Math Biol. 2003 Sep;65(5):795-808.

PMID:
12909251
17.

Tumor progression and metastasis.

Yokota J.

Carcinogenesis. 2000 Mar;21(3):497-503. Review.

PMID:
10688870
18.

Multi-step cascade of tumor cell metastasis.

Stracke ML, Liotta LA.

In Vivo. 1992 Jul-Aug;6(4):309-16. Review.

PMID:
1325842
19.

Cancer. The metastasis cascade.

Klein CA.

Science. 2008 Sep 26;321(5897):1785-7. doi: 10.1126/science.1164853. No abstract available.

PMID:
18818347
20.

Modeling and simulation of biological systems with stochasticity.

Meng TC, Somani S, Dhar P.

In Silico Biol. 2004;4(3):293-309.

PMID:
15724281

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