Difference between revisions of "Team:NKU China/Description"
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<li>Thompson J A, Oliveira R A, Djukovic A, et al. Manipulation of the quorum sensing signal AI-2 affects the antibiotic-treated gut microbiota[J]. Cell reports, 2015, 10(11): 1861-1871.</li> | <li>Thompson J A, Oliveira R A, Djukovic A, et al. Manipulation of the quorum sensing signal AI-2 affects the antibiotic-treated gut microbiota[J]. Cell reports, 2015, 10(11): 1861-1871.</li> | ||
<li>Zargar A, Quan D N, Emamian M, et al. Rational design of ‘controller cells’ to manipulate protein and phenotype expression[J]. Metabolic engineering, 2015, 30: 61-68.</li> | <li>Zargar A, Quan D N, Emamian M, et al. Rational design of ‘controller cells’ to manipulate protein and phenotype expression[J]. Metabolic engineering, 2015, 30: 61-68.</li> | ||
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Revision as of 09:18, 6 July 2016
Controller based on Quorum Sensing System to manipulate cell-cell communication and population behaviors
What do we do in this summer?
- This summer we investigated a kind of quorum sensing molecular, AI-2(autoinducer-2). In our project we try to construct the bacteria machine called Ai-2 Controller which can produce or degrade AI-2 according to the environment and induction conditions. With the important role of AI-2 in population behavior such as biofilm formation, bioluminescence, virulence and antibiotic resistance, AI-2 Controller has its great applications in the fields of fermentation production, reducing antibiotic resistance, improve intestinal microflora environment and so on.
What are the characteristics of AI-2 Controller?
No Side Effect？
No waste to the fermentation environment
AI-2 Consumer & Supplier？
Modulate the external AI-2 environment & attenuating cell–cell communication
Biosafety？
No overgrowth in the fermentation environment & outside the lab
References
- Thompson J A, Oliveira R A, Djukovic A, et al. Manipulation of the quorum sensing signal AI-2 affects the antibiotic-treated gut microbiota[J]. Cell reports, 2015, 10(11): 1861-1871.
- Zargar A, Quan D N, Emamian M, et al. Rational design of ‘controller cells’ to manipulate protein and phenotype expression[J]. Metabolic engineering, 2015, 30: 61-68.
