Mathematical modeling deciphering balance between cell survival and cell death using insulin

Network Biology

Volumn 1, Issue 1, 2011, Pages 46-58

  Jain, Shruti ^a   Bhooshan, Sunil V ^a   Naik, Pradeep K ^b  

^a Department of Electronics and Communication Engineering ^*  (India)

^b JAYPEE UNIVERSITY OF INFORMATION TECHNOLOGY   (India)

Author keywords

Biological view; Epidermal growth factor; Insulin; Signaling; Tumor necrosis factor a

Indexed keywords

EID: 79960942688     PISSN: None     EISSN: 22208879     Source Type: Journal    
DOI: 10.0000/issn-2220-8879-networkbiology-2011-v1-0004     Document Type: Article

References (20)

1. Avruch J. 1998. Insulin signal transduction through protein kinase cascades. Molecular and Cellular Biochemistry, 182: 31-48
2. Bajzer Z, Myers AC, Vuk-Pavlovic S. 1989. Binding, internalization and intracellular processing of proteins interacting with recycling receptors. The Journal of Biological Chemistry, 264: 13623-13631
3. Brent R. 2000. Genomic biology. Cell, 100: 169-183
4. Burns MA, Johnson BN, Brahmasandra SN, et al. 1998. An integrated nanoliter DNA analysis device. Science, 282: 484-487
5. Cagney G, Uetz P, Fields S. 2000. High-throughput screening for protein-protein interactions using twohybrid assay. Methods in Enzymology, 328: 3-14
6. Chignola R, Farina M, Fabrina M, Del Fabbro A, Milotti E. 2009. Balance between cell survival and death: a minimal quantitative model of tumor necrosis factor alpha cytotoxicity. BIOLOGICAL SCIENCES, Biophysics and Computational Biology, 1-32
7. Gardner TS, di Bernardo D, Lorenz D, Collins JJ. 2003. Inferring genetic networks and identifying compound mode of action via expression profiling. Science, 301: 102-105
8. Gaudet S, Janes KA, Albeck JG, et al. 2005. A compendium of signals and responses trigerred by prodeath and prosurvival cytokines. Molecular and Cellular Proteomics, 4: 1569-1590
9. Grell M, Wajant H, Zimmermann G, Scheurich P. 1998. The type 1 receptor (CD120a) is the high-affinity receptor for soluble tumor necrosis factor. Proceedings of the National Academy of Sciences, 95: 570-575
10. Ideker T, Lauffenburger D. 2003. Building with a scaffold: Emerging strategies for high-to-low-level cellular modeling. Trends in Biotechnology, 21: 255-262
11. Kitano H. 2002. Systems biology: A brief overview. Science, 295: 1662-1664
12. Lund-Johansen F, Davis K, Bishop J, et al. 2000. Flow cytometric analysis of immunoprecipitates: highthroughput analysis of protein phosphorylation and protein-protein interactions. Cytometry, 39: 250-259
13. Maliakal JC. 2002. Quantitative high throughput endothelial cell migration and invasion assay system. Methods in Enzymology, 352:175-182
14. Morand KL, Burt TM, Regg BT, Tirey DA. 2001. Advances in high-throughput mass spectrometry. Current Opinion in Drug Discovery and Development, 4: 729-735
15. Price ND, Papin JA, Schilling CH, Palsson BO. 2003. Genome-scale microbial in silico models: the constraints-based approach. Trends in Biotechnology, 21: 162-169
16. Rives AW, Galitski T. 2003. Modular organization of cellular networks. Proceedings of the National Academy of Sciences, 100: 1128-1133
17. Schoeberl B, Eichler-Jonsson C, Gilles ED, Muller G. 2002. Computational modeling of the dynamics of the MAP kinase cascade activated by surface and internalized EGF receptors. Nature Biotechnology, 20: 370- 375
18. Vuk-Pavlovic S, Kovach JS. 1989. Recycling of tumor necrosis factor-α receptor in MCF-7 cells. FASEB, J3: 2633-2640
19. Wajant H, Pfizenmaier K, Scheurich P. 2003. Tumor necrosis factor signaling. Cell Death and Differentiation, 10: 45-65
20. Xia Z, Dickens M, Raingeaud J, et al. 1995. Opposing effects of ERK and JNK-p38 MAP kinases on apoptosis. Science, 270: 1326-1331