caa a22 4500 445842490 CHVBK 20180317145349.0 cr unu---uuuuu 170323e20110301xx s 000 0 eng 10.1007/s11047-010-9184-2 doi (NATIONALLICENCE)springer-10.1007/s11047-010-9184-2 Biocircuit design through engineering bacterial logic gates [Elektronische Daten] [Angel Goñi-Moreno, Miguel Redondo-Nieto, Fernando Arroyo, Juan Castellanos] Designing synthetic biocircuits to perform desired purposes is a scientific field that has exponentially grown over the past decade. The advances in genome sequencing, bacteria gene regulatory networks, as well as the further knowledge of intraspecies bacterial communication through quorum sensing signals are the starting point for this work. Although biocircuits are mostly developed in a single cell, here we propose a model in which every bacterium is considered to be a single logic gate and chemical cell-to-cell connections are engineered to control circuit function. Having one genetically modified bacterial strain per logic process would allow us to develop circuits with different behaviors by mixing the populations instead of re-programming the whole genetic network within a single strain. Two principal advantages of this procedure are highlighted. First, the fully connected circuits obtained where every cellgate is able to communicate with all the rest. Second, the resistance to the noise produced by inappropriate gene expression. This last goal is achieved by modeling thresholds for input signals. Thus, if the concentration of input does not exceed the threshold, it is ignored by the logic function of the gate. Springer Science+Business Media B.V., 2010 Synthetic biology nationallicence Logic gate nationallicence Biocircuit nationallicence Cell-cell communication nationallicence Goñi-Moreno Angel Grupo de Computación Natural, Facultad de Informática, Universidad Politécnica de Madrid, 28660, Madrid, Spain aut Redondo-Nieto Miguel Depto. Biología, Facultad de Ciencias, Universidad Autónoma de Madrid, 28049, Madrid, Spain aut Arroyo Fernando Depto. de Lenguajes, Proyectos y Sistemas Informáticos, Escuela Universitaria de Informática, Universidad Politécnica de Madrid, 28031, Madrid, Spain aut Castellanos Juan Artificial Intelligence Department, Facultad de Informática, Universidad Politécnica de Madrid, Campus de Montegancedo, Boadilla del Monte s/n, 28660, Madrid, Spain aut Natural Computing Springer Netherlands 10/1(2011-03-01), 119-127 1567-7818 10:1<119 2011 10 11047 https://doi.org/10.1007/s11047-010-9184-2 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11047-010-9184-2 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Goñi-Moreno Angel Grupo de Computación Natural, Facultad de Informática, Universidad Politécnica de Madrid, 28660, Madrid, Spain aut NATIONALLICENCE 700 1- Redondo-Nieto Miguel Depto. Biología, Facultad de Ciencias, Universidad Autónoma de Madrid, 28049, Madrid, Spain aut NATIONALLICENCE 700 1- Arroyo Fernando Depto. de Lenguajes, Proyectos y Sistemas Informáticos, Escuela Universitaria de Informática, Universidad Politécnica de Madrid, 28031, Madrid, Spain aut NATIONALLICENCE 700 1- Castellanos Juan Artificial Intelligence Department, Facultad de Informática, Universidad Politécnica de Madrid, Campus de Montegancedo, Boadilla del Monte s/n, 28660, Madrid, Spain aut NATIONALLICENCE 773 0- Natural Computing Springer Netherlands 10/1(2011-03-01), 119-127 1567-7818 10:1<119 2011 10 11047 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer