A minimal model of signaling network elucidates cell-to-cell stochastic variability in apoptosis

PLoS ONE

Volumn 5, Issue 8, 2010, Pages

  Raychaudhuri, Subhadip ^a  

^a University of California Davis   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; APOPTOSIS; ARTICLE; CELLULAR SIGNALING NETWORK; CELLULAR, SUBCELLULAR AND MOLECULAR BIOLOGICAL PHENOMENA AND FUNCTIONS; COMPUTER SIMULATION; MONTE CARLO METHOD; PROBABILITY; SIGNAL TRANSDUCTION; STIMULUS RESPONSE; STOCHASTIC DIFFERENTIAL EQUATION; STOCHASTIC MODEL; BIOLOGICAL MODEL; STATISTICS;

APOPTOSIS; MODELS, BIOLOGICAL; MONTE CARLO METHOD; PROBABILITY; SIGNAL TRANSDUCTION; STOCHASTIC PROCESSES;

EID: 77957817719     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0011930     Document Type: Article

References (19)

1. Raychaudhuri S, Willgohs E, Nguyen TN, Khan E, Goldkorn T (2008) Monte Carlo simulation of cell death signaling predicts large cell-to-cell stochastic fluctuation through the type 2 pathway of apoptosis. Biophys J 95: 3559-3562.
2. Albeck JG, Burke JM, Spencer Sl, Lauffenburger DA, Sorger PK (2008) Modeling a snap-action, variable-delay switch controlling extrinsic cell death. PLoS Biology 6: 2831-2852.
3. Spencer SL, Gaudet S, Albeck JG, Burke JM, Sorger PK (2009) Non-genetic origins of cell-to-cell variability in TRAIL-induced apoptosis. Nature 459: 428-32.
4. Luo KQ, Yu VC, Pu Y, Chang DC (2003) Measuring dynamics of caspase-8 activation in a single living HeLa cell during TNFalpha-induced apoptosis. Biochem Biophys Res Commun 304: 217-222.
5. Goldkorn T, Ravid T, Khan EM (2005) Life and death decisions: ceramide generation and EGF receptor trafficking are modulated by oxidative stress. Antioxidant and Redox Signaling 7: 119-128.
6. Raychaudhuri S, Skommer J, Henty K, Birch N, Brittain T (2010) Neuroglobin protects nerve cells from apoptosis by inhibiting the intrinsic pathway of cell death. Apoptosis 15: 401-411.
7. Skommer J, Brittain T, Raychaudhuri S (2010) Bcl-2 inhibits apoptosis by increasing the time-to-death and intrinsic cell-to-cell variations in the mitochondrial pathway of cell death. Apoptosis, In press.
8. Gardiner CW (1990) Handbook of stochastic methods for Physics, Chemistry and the natural Sciences Springer-Verlag.
9. McAdams HH, Arkin A (1999) It's a noisy business! Genetic regulation at the nanomolar scale. Trends Genet 15: 65-69.
10. Fedoroff N, Fontana W (2002) Genetic networks:small number of big molecules. Science 297: 1129-1131.
11. Gillespie DT (1977) Exact stochastic simulation of chemically reacting system. J Phys Chem 81: 2340-2361.
12. Gomperts BD, Kramer IM, Tatham PER (2003) Signal Transduction Academic Press.
13. Watters D, Lavin M (1999) Signaling pathways in apoptosis Harwood Academic Publisher.
14. Scaffidi C, Fulda S, Srinivasan A, Friessen C, Li F, et al. (1998) Two CD95 (APO-1/FAS) signaling pathways. EMBO J 17: 1675-87.
15. Porwit-MacDonald A, Ivory K, Wilkinson S, Wheatley K, Wong L, et al. (1995) Bcl-2 protein expression in normal human bone marrow precursors and in acute myelogenous leukemia, Leukemia, 9. pp 1191-1198.
16. Letai A, Bassik MC, Walensky LD, Sorcinelli MD, Weiler S, et al. (2002) Distinct BH3 domains either sensitize or activate mitochondrial apoptosis, serving as prototype cancer therapeutics. Cancer Cell 2: 183-192.
17. Ozbudak EM, Thattai M, Kurtser I, Grossman AD, van Oudenaarden A (2002) Regulation of noise in the expression of a single gene. Nat Genet 31: 69-73.
18. Elowitz MB, Levine AJ, Siggia ED, Swain PS (2002) Stochastic gene expression in a single cell. Science 297: 1183-1186.
19. Degterev A, Yuan J (2008) Expansion and evolution of cell death programmes. Nature Rev Mol Cell Biol 9: 378-390.