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   	<dc:title>Shaping bacterial population behavior through computer interfaced control of individual cells</dc:title>
   	<dc:creator>Chait, Remy P ; https://orcid.org/0000-0003-0876-3187</dc:creator>
   	<dc:creator>Ruess, Jakob ; https://orcid.org/0000-0003-1615-3282</dc:creator>
   	<dc:creator>Bergmiller, Tobias ; https://orcid.org/0000-0001-5396-4346</dc:creator>
   	<dc:creator>Tkacik, Gasper ; https://orcid.org/0000-0002-6699-1455</dc:creator>
   	<dc:creator>Guet, Calin C ; https://orcid.org/0000-0001-6220-2052</dc:creator>
   	<dc:subject>ddc:576</dc:subject>
   	<dc:subject>ddc:579</dc:subject>
   	<dc:description>Bacteria in groups vary individually, and interact with other bacteria and the environment to produce population-level patterns of gene expression. Investigating such behavior in detail requires measuring and controlling populations at the single-cell level alongside precisely specified interactions and environmental characteristics. Here we present an automated, programmable platform that combines image-based gene expression and growth measurements with on-line optogenetic expression control for hundreds of individual Escherichia coli cells over days, in a dynamically adjustable environment. This integrated platform broadly enables experiments that bridge individual and population behaviors. We demonstrate: (i) population structuring by independent closed-loop control of gene expression in many individual cells, (ii) cell-cell variation control during antibiotic perturbation, (iii) hybrid bio-digital circuits in single cells, and freely specifiable digital communication between individual bacteria. These examples showcase the potential for real-time integration of theoretical models with measurement and control of many individual cells to investigate and engineer microbial population behavior.</dc:description>
   	<dc:publisher>Nature Publishing Group</dc:publisher>
   	<dc:date>2017</dc:date>
   	<dc:type>info:eu-repo/semantics/article</dc:type>
   	<dc:type>doc-type:article</dc:type>
   	<dc:type>article</dc:type>
   	<dc:type>http://purl.org/coar/resource_type/c_2df8fbb1</dc:type>
   	<dc:identifier>https://research-explorer.ista.ac.at/record/613</dc:identifier>
   	<dc:identifier>https://research-explorer.ista.ac.at/download/613/5190</dc:identifier>
   	<dc:source>Chait RP, Ruess J, Bergmiller T, Tkačik G, Guet CC. Shaping bacterial population behavior through computer interfaced control of individual cells. &lt;i&gt;Nature Communications&lt;/i&gt;. 2017;8(1). doi:&lt;a href=&quot;https://doi.org/10.1038/s41467-017-01683-1&quot;&gt;10.1038/s41467-017-01683-1&lt;/a&gt;</dc:source>
   	<dc:language>eng</dc:language>
   	<dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.1038/s41467-017-01683-1</dc:relation>
   	<dc:relation>info:eu-repo/semantics/altIdentifier/issn/2041-1723</dc:relation>
   	<dc:relation>info:eu-repo/semantics/altIdentifier/wos/000415323000008</dc:relation>
   	<dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
   	<dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
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