A digital cmos sequential circuit model for bio-cellular adaptive immune response pathway using phagolysosomic digestion: a digital phagocytosis engine

Sayed Mohammad Rezaul Hasan
DOI: 10.4236/jbise.2010.35065                

Abstract

Living systems have to constantly counter micro-or- ganisms which seek parasitic existence by extracting nutrition (amino acids) from the host. Phagocytosis is the ingestion of micro-creatures by certain cells of living systems for counter nutrition (breakdown of the micro-creature into basic components) as part of cellular adaptive immune response. These particular cells are called phagocytes, all of which are different types of white blood cells or their derivatives. Phagocytes are activated by certain components of the micro-creatures which act as an antigen, generating an- tibody secretion by the phagocyte. This paper develops a digital CMOS circuit model of phagocytosis: the immune response biochemical pathway of a pha- gocyte. A micro-sequenced model has been developed where the different stages in phagocytosis are modeled as different states clocked by circadian time intervals. The model converts the bio-chemical immune system digestive pathway into a cascade of CMOS multi-step logical transformations from micro-crea- ture ingestion to the secretion of indigestible residuals. This modeling technique leads to the understanding of cellular immune deficiency diseases of living systems in the form of logical (electrical) faults in a circuit.

Keywords

Systems Biology; CMOS Circuit; Phagocytosis; Silicon Mimetic

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	Dhar, P.K., Zhu, H. and Mishra, S.K. (2004) Computational approach to systems biology: From fraction to integration and beyond. IEEE Transactions on Nanobioscience, 3(3), 144-152.
[2]	Khammash, M. and El-Samad, H. (2004) Systems boilogy: From physiology to gene regulation. IEEE Control Systems Magazine, 24(4), 62-76.
[3]	Vaidyanathan, P.P. (2004) Genomics and proteomics: A signal processor’s tour. IEEE Circuits and Systems Magazine, 4(4), 6-29.
[4]	Campbell, N.A. and Reece, J.B. (2005) Biology. Pearson, San Francisco.
[5]	Tortora, G.J., Funke, B.R. and Case, C.L. (2007) Microbiology: An introduction. Pearson Benjamin Cummings, San Francisco.
[6]	Watson, J.D. and Crick, F.H.C. (1953) A structure for DNA. Nature, 171(4356), 737-738.
[7]	Goldbeter, A. (1995) A model for circadian oscillations in the drosophila period protein. Proceedings of Biological Sciences, 261(1362), 319-324.
[8]	Chen, L. and Wang, R. (2006) Designing gene regulatory networks with specified functions. IEEE Transactions on Circuits and Systems-I: Regular Papers, 53(11), 2444- 2450.
[9]	Hasan, S.M.R. (2005) A novel CMOS integrated circuit model for cellular DNA-protein regulatory mRNA transcription process. Proceedings of 12th International Conference on Biomedical Engineering, International Federation for Medical and Biological Engineering CD proceedings, Singapore.
[10]	Rezaul Hasan, S.M. (2005) A novel integrated circuit model for mRNA transcription in bio-cellular processes,” Proceedings of 12th Electronics New Zealand Conference, Manukau, 7-12.
[11]	Hasan, S.M.R. (2008) A novel mixed-signal integrated circuit model for DNA-protein regulatory genetic circuits and genetic state machines. IEEE Transactions on Circuits and Systems-I: Regular Papers, 55(5), 1185-1196.
[12]	Hasty, J., McMillen, D. and Collins, J.J. (2002) Engineered gene circuits. Nature, 420(14), 224-230.
[13]	Simpson, M.L., Cox, C.D., Peterson, G.D. and Sayler, G.S. (2004) Engineering in the biological substrate: Information processing in genetic circuits. Proceedings of the IEEE, 92(5), 848-863.
[14]	Hasan, S.M.R. and Ula, N. (2008) Analog CMOS charge model for molecular redox electron-transfer reactions and bio-chemical pathways. Proceedings of International Symposium on Circuits and Systems, Geneva.
[15]	Rezaul Hasan, S.M. (2008) A Micro-sequenced CMOS model for cell signaling pathway using G-protein and phosphorylation cascade. International Journal of Intelligent Systems Technologies and Applications, 19(12) 57-62.
[16]	Schiek, R.L. and May, E.E. (2003) Development of a massively-parallel, biological circuit simulator. Proceedings of the Computational Systems Bioinformatics, Cambridge, 620-622.
[17]	K. Martin, (2000) Digital integrated circuit design. Oxford University Press, Oxford.