Combinatorial synthesis of genetic networks. Export

@article{Guet2002, abstract = {A central problem in biology is determining how genes interact as parts of functional networks. {C}reation and analysis of synthetic networks, composed of well-characterized genetic elements, provide a framework for theoretical modeling. {H}ere, with the use of a combinatorial method, a library of networks with varying connectivity was generated in {E}scherichia coli. {T}hese networks were composed of genes encoding the transcriptional regulators {L}ac{I}, {T}et{R}, and lambda {CI}, as well as the corresponding promoters. {T}hey displayed phenotypic behaviors resembling binary logical circuits, with two chemical "inputs" and a fluorescent protein "output." {W}ithin this simple system, diverse computational functions arose through changes in network connectivity. {C}ombinatorial synthesis provides an alternative approach for studying biological networks, as well as an efficient method for producing diverse phenotypes in vivo.}, author = {Guet, C\"{a}lin C. and Elowitz, Michael B. and Hsing, Weihong and Leibler, Stanislas}, citeulike-article-id = {579386}, citeulike-linkout-0 = {http://dx.doi.org/10.1126/science.1067407}, doi = {10.1126/science.1067407}, journal = {Science}, keywords = {synthetic\_networks}, month = {May}, number = {5572}, pages = {1466--1470}, posted-at = {2006-04-07 13:18:14}, priority = {0}, title = {Combinatorial synthesis of genetic networks.}, url = {10.1126/science.1067407}, volume = {296}, year = {2002} }

TY - JOUR ID - Guet2002 L3 - citeulike-article-id:579386 N2 - A central problem in biology is determining how genes interact as parts of functional networks. {C}reation and analysis of synthetic networks, composed of well-characterized genetic elements, provide a framework for theoretical modeling. {H}ere, with the use of a combinatorial method, a library of networks with varying connectivity was generated in {E}scherichia coli. {T}hese networks were composed of genes encoding the transcriptional regulators {L}ac{I}, {T}et{R}, and lambda {CI}, as well as the corresponding promoters. {T}hey displayed phenotypic behaviors resembling binary logical circuits, with two chemical "inputs" and a fluorescent protein "output." {W}ithin this simple system, diverse computational functions arose through changes in network connectivity. {C}ombinatorial synthesis provides an alternative approach for studying biological networks, as well as an efficient method for producing diverse phenotypes in vivo. IS - 5572 JF - Science EP - 1470 TI - Combinatorial synthesis of genetic networks. VL - 296 SP - 1466 KW - synthetic_networks AU - Guet, Cälin AU - Elowitz, Michael AU - Hsing, Weihong AU - Leibler, Stanislas PY - 2002/May// UR - http://dx.doi.org/10.1126/science.1067407 ER -