FN Archimer Export Format PT J TI Yeast-Based Biosensors: Current Applications and New Developments BT AF MARTIN-YKEN, Helene AS 1:1,2,3,4; FF 1:; C1 Inst Natl Rech Agr Alimentat & Environm INRAE, UMR 792, Toulouse Biotechnol Inst TBI, F-31400 Toulouse, France. Inst Rech Dev IRD, F-98702 Tahiti, French Polynesi, France. Univ Polynesie Francaise, Unite Mixte Rech Ecosyst Insulaires & Oceaniens 2, F-98702 Tahiti, French Polynesi, France. Inst Louis Malarde, Lab Rech Biotoxines Marines, F-98713 Tahiti, French Polynesi, France. C2 INRAE, FRANCE IRD, FRANCE UNIV POLYNESIE FRANCAISE, FRANCE INST LOUIS MALARDE, FRANCE UM EIO IN WOS Cotutelle UMR DOAJ copubli-france IF 5.743 TC 19 UR https://archimer.ifremer.fr/doc/00695/80737/84544.pdf LA English DT Article DE ;yeasts;biosensors;cell signaling;environmental contaminants;detection AB Biosensors are regarded as a powerful tool to detect and monitor environmental contaminants, toxins, and, more generally, organic or chemical markers of potential threats to human health. They are basically composed of a sensor part made up of either live cells or biological active molecules coupled to a transducer/reporter technological element. Whole-cells biosensors may be based on animal tissues, bacteria, or eukaryotic microorganisms such as yeasts and microalgae. Although very resistant to adverse environmental conditions, yeasts can sense and respond to a wide variety of stimuli. As eukaryotes, they also constitute excellent cellular models to detect chemicals and organic contaminants that are harmful to animals. For these reasons, combined with their ease of culture and genetic modification, yeasts have been commonly used as biological elements of biosensors since the 1970s. This review aims first at giving a survey on the different types of yeast-based biosensors developed for the environmental and medical domains. We then present the technological developments currently undertaken by academic and corporate scientists to further drive yeasts biosensors into a new era where the biological element is optimized in a tailor-made fashion by in silico design and where the output signals can be recorded or followed on a smartphone. PY 2020 PD MAY SO Biosensors SN 2079-6374 PU Biosensors-baselMdpi VL 10 IS 5 UT 000541561700002 DI 10.3390/bios10050051 ID 80737 ER EF