Applied Systems Genetics in Medicine and Bioengineering

(Bangzhe) Jie Zeng

Systems Genetics Lab., Benjoe Institute of System Bio-Engineering

Science & Tech. Park, Changzhou 213022, China

 

At the era of post genomics, systems biology is going to be established on systems theory, bio-computation and high through biotechnology etc. Since the Evo-Deve systems are the self-organization of biosystems, the evolution of genomic structures and development of organism patterns, the concepts of system bio-engineering [1] and system genetics [2] were published in 1994. Systems genetics is investigated in the fields of the non-linear cell dynamics of evolution, development and pathogenesis, and the pattern formation of phenotype - genotype complexity involved in structure, function and evolution stability of genomes.

Development of organism is a system dynamic procedure of cell cycle, cell fate determination and cell lineages mapping, and the neuro-endocrine, immune systems are derived from embryo stem cells and playing central controlling of organogenesis. The cell is constructed in bio-molecular complex systems and phenotype patterning is involved in multiple regulatory of genes and signal networks. Somatic and sexual cells are derived from a fertilized egg, the mutation patterns of genes in sexual or somatic cells are important for self-organization of genomes or organisms. There is a mathematical model: Co (ES cell) ->Cx (sex cell) + Cs (somatic cell), Cs->Cn (neuron) + Ce (endocrine) + Ci (immune) etc., and can be used as computer graphic patterns of non-linear systems morphogenesis. The “omics” databio-computing software and statistics are largely used for analysis of differential expression patterns of genes regulatory, however, to understand the genotype – phenotype complexity, should be exploring of the logic of genetics, structures of heredity, evolutional modules and stratum construction of genomes from prokaryocyte, eukaryocyte to multicells organisms.

Fig.1. Signal Transmission, Gene Regulation in Cell Mapping and Communication

 (Zeng BJ. 2002)

 

The cell = natural computer, modified bio-molecular complexity = artificial biosystem: used as cellular factory = bioreactor, used as cellular computer = nanomachine. A cell machine is constructed of material system – molecules module, energy system – organelle and information system - genes.

Since cells mapping within organism, the health means the normal situation of cooperative interacting of huge number cells in communities. The drug treatment in vivo, will affect signal transduction and gene regulatory networks of all cells which drug molecules have effects, and be involved in the regulation of neuro-endocine, immune system. Applied systems genetics and synthetic biology are useful in systems medicine [3-4], and also in bioengineering by use of artificial design of cell signaling networks and synthesis of artificial genomic structures. The cell is ATP-ADP energy drive system, for cell manufacture such as transgenic oviduct bioreactor [2] and herb metabolism engineering, the mathematic formulae is: Products = f(Materials), and the gene regulated expression functions as information control system. For bio-molecular and cell bio-computers [5], the formulae is Results = f (Signals), the network of genes regulatory is acting as information procedure of cell behavior in respond to stimulation.

References

[1] Zeng B.J. On the concept of systems biological engineering, Communications on Transgenic Animals, CAS, June, 1994.

[2] Zeng B.J. Transgenic animal expression system – the goldegg plan, Communication on Transgenic Animals, CAS, Nov. 1994. (On the mendelian, molecular and system genetics, and the term “system genetics” was coined in 1994)

[3] Zeng B.J. Structurity - pan-evolution theory, Hunan Changsha, May, 1994.

[4] Zeng B.J. From positive to synthetic medical science, Communications on Transgenic Animals, CAS, Nov. 1995.

[5] Zeng B.J. Automatic cell - the bio-computer, Genbrain biosystem network, the Associates for Biosystem science and Engineering (since Jan. 1999), June, 2002.

 

(11th ICMSB, June 21-25, 2009, Shanghai, China)

 

Copyright2009 Genobrain Biosystem Networks
版权所有2009 系统生物科学与工程网