Cellular biosensors with engineered genetic circuits

buir.contributor.authorSaltepe, Behide
buir.contributor.authorKehribar, Ebru Şahin
buir.contributor.authorYirmibeşoǧlu, Side Selin Su
buir.contributor.authorŞeker, Urartu Özgür Şafak
dc.citation.epage26en_US
dc.citation.issueNumber1en_US
dc.citation.spage13en_US
dc.citation.volumeNumber3en_US
dc.contributor.authorSaltepe, Behideen_US
dc.contributor.authorKehribar, Ebru Şahinen_US
dc.contributor.authorYirmibeşoǧlu, Side Selin Suen_US
dc.contributor.authorŞeker, Urartu Özgür Şafaken_US
dc.date.accessioned2019-02-21T16:02:28Zen_US
dc.date.available2019-02-21T16:02:28Zen_US
dc.date.issued2018en_US
dc.departmentInstitute of Materials Science and Nanotechnology (UNAM)en_US
dc.description.abstractAn 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.provenanceMade 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: 2018en_US
dc.identifier.doi10.1021/acssensors.7b00728en_US
dc.identifier.eissn2379-3694en_US
dc.identifier.urihttp://hdl.handle.net/11693/50007en_US
dc.language.isoEnglishen_US
dc.publisherAmerican Chemical Societyen_US
dc.relation.isversionofhttps://doi.org/10.1021/acssensors.7b00728en_US
dc.source.titleACS Sensorsen_US
dc.subjectanalog circuitsen_US
dc.subjectBiocomputationen_US
dc.subjectBiomedical sensorsen_US
dc.subjectDigital circuitsen_US
dc.subjectEnvironmental sensorsen_US
dc.subjectLogic gatesen_US
dc.subjectSynthetic biologyen_US
dc.subjectWhole cell biosensorsen_US
dc.titleCellular biosensors with engineered genetic circuitsen_US
dc.typeArticleen_US

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