Genomic mining of prokaryotic repressors for orthogonal logic gates.
Genomic mining of prokaryotic repressors for orthogonal logic gates.
复制标题
DOI：
10.1038/nchembio.1411
复制
发表时间：
2014-02
影响因子：
14.8
通讯作者：
Voigt, Christopher A.
中科院分区：
文献类型：
--
作者：
Stanton, Brynne C.;Nielsen, Alec A. K.;Tamsir, Alvin;Clancy, Kevin;Peterson, Todd;Voigt, Christopher A.
遗传电路基于细胞内自由扩散的分子之间的相互作用执行计算操作。当转录因子组合在一起形成一个回路时，非预期的相互作用可能会破坏其功能。在这里，我们应用“部分挖掘”，建立一个73 TetR家族阻遏物从原核基因组收集的库。使用体外方法确定子集的操纵子，并将此信息用于构建合成启动子。筛选启动子和阻遏子的交叉反应。其中，16个被鉴定为强烈抑制其同源启动子（5至207倍），并且不与其他启动子相互作用。将每个阻遏物：启动子对转化为NOT门并表征。作为一组16个或非门，通过改变输入和输出启动器的模式，可以构建>1054个电路。这表示可用于构造用户定义电路的大量兼容门。
Genetic circuits perform computational operations based on interactions between freely diffusing molecules within a cell. When transcription factors are combined to build a circuit, unintended interactions can disrupt its function. Here, we apply “part mining” to build a library of 73 TetR-family repressors gleaned from prokaryotic genomes. The operators of a subset were determined using an in vitro method and this information was used to build synthetic promoters. The promoters and repressors were screened for cross-reactions. Of these, 16 were identified that both strongly repress their cognate promoter (5- to 207-fold) and do not interact with other promoters. Each repressor:promoter pair was converted to a NOT gate and characterized. Used as a set of 16 NOR gates, there are >1054 circuits that could be built by changing the pattern of input and output promoters. This represents a large set of compatible gates that can be used to construct user-defined circuits.
登录
查看更多内容
影响因子：
14.9
作者：
Hunter S;Jones P;Mitchell A;Apweiler R;Attwood TK;Bateman A;Bernard T;Binns D;Bork P;Burge S;de Castro E;Coggill P;Corbett M;Das U;Daugherty L;Duquenne L;Finn RD;Fraser M;Gough J;Haft D;Hulo N;Kahn D;Kelly E;Letunic I;Lonsdale D;Lopez R;Madera M;Maslen J;McAnulla C;McDowall J;McMenamin C;Mi H;Mutowo-Muellenet P;Mulder N;Natale D;Orengo C;Pesseat S;Punta M;Quinn AF;Rivoire C;Sangrador-Vegas A;Selengut JD;Sigrist CJ;Scheremetjew M;Tate J;Thimmajanarthanan M;Thomas PD;Wu CH;Yeats C;Yong SY
通讯作者：
Yong SY
DOI：
10.1073/pnas.1000251107
发表时间：
2010-03-09
影响因子：
11.1
作者：
Fu, Guoliang;Lees, Rosemary S.;Alphey, Luke
通讯作者：
Alphey, Luke
影响因子：
56.9
作者：
Boch, Jens;Scholze, Heidi;Bonas, Ulla
通讯作者：
Bonas, Ulla
DOI：
10.1073/pnas.85.5.1394
发表时间：
1988-03-01
影响因子：
11.1
作者：
GATZ, C;QUAIL, PH
通讯作者：
QUAIL, PH
影响因子：
5.6
作者：
Helbl, V;Tiebel, B;Hillen, W
通讯作者：
Hillen, W