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Guiding pancreatic beta cells to target electrodes in a whole-cell biosensor for diabetes

hal.structure.identifierChimie et Biologie des Membranes et des Nanoobjets [CBMN]
dc.contributor.authorPEDRAZA, Eileen
hal.structure.identifierInstitut des Sciences Moléculaires [ISM]
dc.contributor.authorKARAJIC, Aleksandar
hal.structure.identifierChimie et Biologie des Membranes et des Nanoobjets [CBMN]
dc.contributor.authorRAOUX, Matthieu
hal.structure.identifierChimie et Biologie des Membranes et des Nanoobjets [CBMN]
dc.contributor.authorPERRIER, Romain
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorPIROG, Antoine
hal.structure.identifierChimie et Biologie des Membranes et des Nanoobjets [CBMN]
dc.contributor.authorLEBRETON, Fanny
hal.structure.identifierInstitut des Sciences Moléculaires [ISM]
dc.contributor.authorARBAULT, Stéphane
hal.structure.identifierChimie et Biologie des Membranes et des Nanoobjets [CBMN]
dc.contributor.authorGAITAN, Julien
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorRENAUD, Sylvie
hal.structure.identifierInstitut des Sciences Moléculaires [ISM]
dc.contributor.authorKUHN, Alexander
hal.structure.identifierChimie et Biologie des Membranes et des Nanoobjets [CBMN]
dc.contributor.authorLANG, Jochen
dc.date.accessioned2020-09-03T08:01:58Z
dc.date.available2020-09-03T08:01:58Z
dc.date.issued2015
dc.identifier.issn1473-0189
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/10940
dc.description.abstractEnWe are developing a cell-based bioelectronic glucose sensor that exploits the multi-parametric sensing ability of pancreatic islet cells for the treatment of diabetes. These cells sense changes in the concentration of glucose and physiological hormones and immediately react by generating electrical signals. In our sensor, signals from multiple cells are recorded as field potentials by a micro-electrode array (MEA). Thus, cell response to various factors can be assessed rapidly and with high throughput. However, signal quality and consequently overall sensor performance rely critically on close cell-electrode proximity. Therefore, we present here a non-invasive method of further exploiting the electrical properties of these cells to guide them towards multiple micro-electrodes via electrophoresis. Parameters were optimized by measuring the cell's zeta potential and modeling the electric field distribution. Clonal and primary mouse or human beta-cells migrated directly to target electrodes during the application of a 1 V potential between MEA electrodes for 3 minutes. The morphology, insulin secretion, and electrophysiological characteristics were not altered compared to controls. Thus, cell manipulation on standard MEAs was achieved without introducing any external components and while maintaining the performance of the biosensor. Since the analysis of the cells' electrical activity was performed in real time via on-chip recording and processing, this work demonstrates that our biosensor is operational from the first step of electrically guiding cells to the final step of automatic recognition. Our favorable results with pancreatic islets, which are highly sensitive and fragile cells, are encouraging for the extension of this technique to other cell types and microarray devices.
dc.language.isoen
dc.title.enGuiding pancreatic beta cells to target electrodes in a whole-cell biosensor for diabetes
dc.title.alternativeLab on a chip
dc.typeArticle de revue
dc.identifier.doi10.1039/c5lc00616c
dc.subject.halChimie/Matériaux
bordeaux.journalLab on a Chip
bordeaux.page3880-3890
bordeaux.volume15
bordeaux.hal.laboratoriesInstitut de Chimie & de Biologie des Membranes & des Nano-objets (CBMN) - UMR 5248*
bordeaux.hal.laboratoriesInstitut de Chimie & de Biologie des Membranes & des Nano-objets (CBMN, UMR 5248)
bordeaux.issue19
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Lab%20on%20a%20Chip&rft.date=2015&rft.volume=15&rft.issue=19&rft.spage=3880-3890&rft.epage=3880-3890&rft.eissn=1473-0189&rft.issn=1473-0189&rft.au=PEDRAZA,%20Eileen&KARAJIC,%20Aleksandar&RAOUX,%20Matthieu&PERRIER,%20Romain&PIROG,%20Antoine&rft.genre=article


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