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

Autor: Fanny Lebreton, Sylvie Renaud, Romain Perrier, Stéphane Arbault, Jochen Lang, Antoine Pirog, Alexander Kuhn, Aleksandar Karajić, Matthieu Raoux, Julien Gaitan, Eileen Pedraza
Přispěvatelé: Chimie et Biologie des Membranes et des Nanoobjets (CBMN), Université de Bordeaux (UB)-École Nationale d'Ingénieurs des Travaux Agricoles - Bordeaux (ENITAB)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Institut des Sciences Moléculaires (ISM), Université Montesquieu - Bordeaux 4-Université Sciences et Technologies - Bordeaux 1-École Nationale Supérieure de Chimie et de Physique de Bordeaux (ENSCPB)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de l'intégration, du matériau au système (IMS), Université Sciences et Technologies - Bordeaux 1-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS), ANR-13-PRTS-0017,ISLET CHIP,ISLET CHIP: Contrôle de Qualité d'Îlots pour la Greffe(2013), ANR-10-LABX-0042,AMADEus,Advanced Materials by Design(2010), ANR-10-IDEX-0003,IDEX BORDEAUX,Initiative d'excellence de l'Université de Bordeaux(2010)
Rok vydání: 2015
Předmět:
Male
Cell type
Insulin/metabolism
Cell
Biomedical Engineering
Bioengineering
Biosensing Techniques
02 engineering and technology
Biology
01 natural sciences
Biochemistry
Mice
Biosensing Techniques/methods
Insulin-Secreting Cells
Insulin Secretion
Diabetes Mellitus
medicine
Animals
Humans
Insulin
Diabetes Mellitus/diagnosis
[SPI.NANO]Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics
Insulin secretion
Tissue Array Analysis/methods
Electrodes
Cells
Cultured

Pancreatic islets
010401 analytical chemistry
Electric Conductivity
General Chemistry
021001 nanoscience & nanotechnology
Electrophysiological Phenomena
0104 chemical sciences
Mice
Inbred C57BL

Electrophysiology
Electrophoresis
medicine.anatomical_structure
Tissue Array Analysis
Electrode
Insulin-Secreting Cells/cytology/metabolism
Female
0210 nano-technology
Biosensor
Biomedical engineering
Zdroj: Lab on a Chip
Lab on a Chip, Royal Society of Chemistry, 2015, 15, ⟨10.1039/C5LC00616C⟩
Lab on a Chip, Vol. 15, No 19 (2015) pp. 3880-3890
ISSN: 1473-0189
1473-0197
DOI: 10.1039/c5lc00616c
Popis: International audience; We 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 β-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 intro- ducing any external components and while maintaining the performance of the biosensor. Since the analy- sis 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.
Databáze: OpenAIRE