Robust multicellular computing using genetically encoded NOR gates and chemical \'wires\' (Nature, 2011, 469:171-172)

報告日期: 2011/03/01
報告時間: 16:00/16:50
報告學生: 鄭伯忻 (英文報告)
講評老師: 鄧景浩
附件下載:

Full text: http://basicmed.med.ncku.edu.tw/admin/up_img/000301-2.pdf

Robust multicellular computing using genetically encoded NOR gates and chemical 'wires'
Tamsir A, Tabor JJ, Voigt CA.
Nature. 2011 Jan 13;469(7329):212-5.

Speaker: 鄭伯忻
Commentator: 鄧景浩老師
Time: 2011/3/1 16:00-16:50
Place: Room 602

Abstract
Regulatory network is the foundation of all livings. When dissected the complex regulatory network, each module, including promoter and transcription factor, is the basic element. However, when scientists tried to link different modules to create new function in one cell, stochastic effect, signal crosstalk, and metabolic burden became the severe issues to limit the construction of complex regulatory network. Here authors found that when separated different simple module in individual cell and linked each module by quorum sensing, complex regulatory network can work as prediction. First, simple NOR unit was constructed in one cell by placing two tandem promoters to drive CI repressor in Escherichia coli, and output yellow fluorescent protein (YFP) was repressed by CI. Therefore, output signal can be detected only when two input signals were all negative. When replaced two tandem promoters from PBAD and PTet to two quorum sensing signals, NOR gate can function as prediction. Therefore, quorum sensing molecule can become the ‘wires’ to connect the signal between each unit in separated cell. Furthermore, complex calculation, including XOR and EQUAL functions, can be achieved by rearranging E. coli colonies with NOR unit in specific order. The ON and OFF stage were strong and robust with 5~300 fold difference when YFP was used as output signal. This finding demonstrated that cellular compartmentalization and connection by quorum sensing signal would be good way to design the complex computation.

References
1. Li B, You L: Synthetic biology: Division of logic labour. Nature 2011, 469(7329):171-172.
2. Regot S, Macia J, Conde N, Furukawa K, Kjellen J, Peeters T, Hohmann S, de Nadal E, Posas F, Sole R: Distributed biological computation with multicellular engineered networks. Nature 2011, 469(7329):207-211.
3. Tamsir A, Tabor JJ, Voigt CA: Robust multicellular computing using genetically encoded NOR gates and chemical 'wires'. Nature 2011, 469(7329):212-215.