Gene expression control systems

Qiao, C., Wang, B., Zhu, X., Li, J. and Xiao, X. (2002b). A novel gene expression control system and its use in stable, high-titer 293 cell-based adeno-associated virus packaging cell lines. J. Virol. 76, 13015-13027. 

Hughes, P. Dragunow, M. (1995). Induction of immediate-early genes and the control of neurotransmitter-regulated gene expression within the nervous system. Pharmacol. Rev. 47, 133-78. 

Nijland, R., Veening, J.W. and Kuipers, O.P. (2007) A derepression system based on the Bacillus subtilis sporulation pathway offers dynamic control of heterologous gene expression. Applied and Environmental Microbiology, 73 (7), 2390-2393. 

Mierau, I. and Kleerebezem, M. (2005) 10 years of the nisin-controlled gene expression system (NICE) in Lactococcus lactis. Applied Microbiology and Biotechnology, 68 (6), 705—717. 

The performance of a biotreatment system ultimately depends on optimization of the activity of microbes and the ability to control the process parameters of the treatment system [157]. In this respect, the ability to monitor gene copy numbers and gene expression is highly useful for real time optimization of the efficiency of a biotreatment system. Advanced molecular techniques as well as low cost methods (e.g., antibody detection of enzymes based on color reaction strips fluorescence i.e., GFP marked organisms with UV light detection) can also be applied to monitor the microbial community structure, persistence of the added bacteria, and their interactions with indigenous populations. 

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