Cellular biosensors with engineered genetic circuits
buir.contributor.author | Saltepe, Behide | |
buir.contributor.author | Kehribar, Ebru Şahin | |
buir.contributor.author | Yirmibeşoǧlu, Side Selin Su | |
buir.contributor.author | Şeker, Urartu Özgür Şafak | |
dc.citation.epage | 26 | en_US |
dc.citation.issueNumber | 1 | en_US |
dc.citation.spage | 13 | en_US |
dc.citation.volumeNumber | 3 | en_US |
dc.contributor.author | Saltepe, Behide | en_US |
dc.contributor.author | Kehribar, Ebru Şahin | en_US |
dc.contributor.author | Yirmibeşoǧlu, Side Selin Su | en_US |
dc.contributor.author | Şeker, Urartu Özgür Şafak | en_US |
dc.date.accessioned | 2019-02-21T16:02:28Z | en_US |
dc.date.available | 2019-02-21T16:02:28Z | en_US |
dc.date.issued | 2018 | en_US |
dc.department | Institute of Materials Science and Nanotechnology (UNAM) | en_US |
dc.description.abstract | An increasing interest in building novel biological devices with designed cellular functionalities has triggered the search of innovative tools for biocomputation. Utilizing the tools of synthetic biology, numerous genetic circuits have been implemented such as engineered logic operation in analog and digital circuits. Whole cell biosensors are widely used biological devices that employ several biocomputation tools to program cells for desired functions. Up to the present date, a wide range of whole-cell biosensors have been designed and implemented for disease theranostics, biomedical applications, and environmental monitoring. In this review, we investigated the recent developments in biocomputation tools such as analog, digital, and mix circuits, logic gates, switches, and state machines. Additionally, we stated the novel applications of biological devices with computing functionalities for diagnosis and therapy of various diseases such as infections, cancer, or metabolic diseases, as well as the detection of environmental pollutants such as heavy metals or organic toxic compounds. Current whole-cell biosensors are innovative alternatives to classical biosensors; however, there is still a need to advance decision making capabilities by developing novel biocomputing devices. | en_US |
dc.description.provenance | Made available in DSpace on 2019-02-21T16:02:28Z (GMT). No. of bitstreams: 1 Bilkent-research-paper.pdf: 222869 bytes, checksum: 842af2b9bd649e7f548593affdbafbb3 (MD5) Previous issue date: 2018 | en_US |
dc.identifier.doi | 10.1021/acssensors.7b00728 | en_US |
dc.identifier.eissn | 2379-3694 | en_US |
dc.identifier.uri | http://hdl.handle.net/11693/50007 | en_US |
dc.language.iso | English | en_US |
dc.publisher | American Chemical Society | en_US |
dc.relation.isversionof | https://doi.org/10.1021/acssensors.7b00728 | en_US |
dc.source.title | ACS Sensors | en_US |
dc.subject | analog circuits | en_US |
dc.subject | Biocomputation | en_US |
dc.subject | Biomedical sensors | en_US |
dc.subject | Digital circuits | en_US |
dc.subject | Environmental sensors | en_US |
dc.subject | Logic gates | en_US |
dc.subject | Synthetic biology | en_US |
dc.subject | Whole cell biosensors | en_US |
dc.title | Cellular biosensors with engineered genetic circuits | en_US |
dc.type | Article | en_US |
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