The use of neuronal networks on multielectrode arrays as biosensors

Gross, Guenter W.; Rhoades, Barry K.; Azzazy, Hassan M.E.; Wu, Ming‐Chi

doi:10.1016/0956-5663(95)96931-n

Cited by 348 publications

(158 citation statements)

References 20 publications

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“…The reference activity of neurons remained stable in a serum-free DMEM stock solution in an environment of pH = 7.4, 37± 1°C, with osmolarity maintained in the range of 300-320 mOsm (Gross et al, 1995;Keefer et al, 2001aKeefer et al, , 2001b. The reference activity was recorded for a minimum of 30 min after a medium change from serum containing to serum-free medium.…”

Section: Data Analysesmentioning

confidence: 92%

d-Methionine protects against cisplatin-induced neurotoxicity in cortical networks

Gopal

Shrestha

et al. 2012

Neurotoxicology and Teratology

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Cisplatin is a platinum-based chemotherapeutic agent widely used for the treatment of various types of cancer. Patients undergoing cisplatin treatment often suffer from a condition known as "chemobrain", ototoxicity, peripheral neuropathy, weight loss, nausea, vomiting, nephrotoxicity, seizures, hearing loss and tinnitus.D-Methionine (D-Met), a sulfur-containing nucleophilic antioxidant, has been shown to prevent cisplatininduced side effects in animals without antitumor interference. In this study, we have used an in vitro model of cortical networks (CNs), enriched in auditory cortex cells; to quantify cisplatin neurotoxicity and the protective effects of D-Met. Dissociated neurons from auditory cortices of mouse embryos were grown on microelectrode arrays with 64 transparent indium-tin oxide electrodes, which enabled continuous optical and electrophysiological monitoring of network neurons. Cisplatin at 0.10-0.25 mM induced up to a 200% increase in spontaneous spiking activity, while concentrations at or above 0.5 mM caused irreversible loss of neuronal activity, accompanied by cell death. Pretreatment with D-Met, at a concentration of 1.0 mM, prevented the cisplatin-induced excitation at 0.10-0.25 mM, caused sustained excitation without occurrence of cell death at 0.5 mM, and delayed cell death at 0.75 mM cisplatin. L-Methionine, the optical isomer, showed lower potency and less efficacy than D-Met, was less protective against 0.1 mM cisplatin, and proved ineffective at a concentration of 0.5 mM cisplatin. Pre-exposure time of D-Met was associated with the protective effects at 0.1 and 0.5 mM cisplatin, with longer pre-exposure times exhibiting better protection. This study quantifies as a function of concentration and time that D-Met protects central nervous system tissue from acute cisplatin toxicity.

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Section: Data Analysesmentioning

confidence: 92%

d-Methionine protects against cisplatin-induced neurotoxicity in cortical networks

Gopal

Shrestha

et al. 2012

Neurotoxicology and Teratology

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“…Neurons have been long hailed as cell-based sensors for a variety of applications, 196,197 but with limited success, probably because neurons are one of the most challenging cell types to culture. Gross and coworkers 198 pioneered the use of cultured neuronal networks on multielectrode arrays as biosensors. They used mice spinal or cortical neuronal networks for the long-term monitoring of multichannel, spontaneous, or evoked electrophysiological activity.…”

Section: Microfluidic Delivery Of Factors Tomentioning

confidence: 99%

“…In the absence of the homeostatic control mechanisms of the central nervous system (CNS), these networks showed remarkable sensitivities to minute chemical changes and mimicked some of the properties of sensory tissue. 198 These sensitivities could be enhanced by receptor upregulation and altered by the expression of unique receptors via transgenic mouse technology. 198 Applications of the networks included drug screening for cannabinoid agonists 199 and acetylcholine esterase inhibitors.…”

Section: Microfluidic Delivery Of Factors Tomentioning

confidence: 99%

“…198 These sensitivities could be enhanced by receptor upregulation and altered by the expression of unique receptors via transgenic mouse technology. 198 Applications of the networks included drug screening for cannabinoid agonists 199 and acetylcholine esterase inhibitors. 200 Martinoia and coworkers 168,201 simulated the signals generated by networks of neurons on microelectrode arrays (MEAs) by computer software, then employed chick embryo spinal neuron networks on MEAs and analyzed the effects of different drugs (NBQX, CTZ, MK801) on the burst activity of the "bioelectronic neuronal sensory system."…”

Section: Microfluidic Delivery Of Factors Tomentioning

confidence: 99%

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Biology on a Chip: Microfabrication for Studying the Behavior of Cultured Cells

Tourovskaia

Folch

2003

Crit Rev Biomed Eng

173

140

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The ability to culture cells in vitro has revolutionized hypothesis testing in basic cell and molecular biology research and has become a standard methodology in drug screening and toxicology assays. However, the traditional cell culture methodology-consisting essentially of the immersion of a large population of cells in a homogeneous fluid medium-has become increasingly limiting, both from a fundamental point of view (cells in vivo are surrounded by complex spatiotemporal microenvironments) and from a practical perspective (scaling up the number of fluid handling steps and cell manipulations for high-throughput studies in vitro is prohibitively expensive). Micro fabrication technologies have enabled researchers to design, with micrometer control, the biochemical composition and topology of the substrate, the medium composition, as well as the type of neighboring cells surrounding the microenvironment of the cell. In addition, microtechnology is conceptually well suited for the development of fast, low-cost in vitro systems that allow for high-throughput culturing and analysis of cells under large numbers of conditions. Here we review a variety of applications of microfabrication in cell culture studies, with an emphasis on the biology of various cell types.

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“…The neural activities induced by a stimulus, such as an odor, an image or a sound, are routinely recorded by multi-electrode arrays (MEA, see Victor, 1994;Gross, 1995;Rutten et al, 2001;. Usually hundreds or even thousands of local field potentials and neuronal activities are simultaneously recorded at a sample frequency between 1000 Hz and 2000 Hz (Mehring et al, 2003;Todd, 2005).…”

Section: Introductionmentioning

confidence: 99%

Detecting correlation changes in electrophysiological data

Kendrick

Feng

2007

Journal of Neuroscience Methods

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A correlation multi-variate analysis of variance (MANOVA) test to statistically analyze changing patterns of multi-electrode array (MEA) electrophysiology data is developed. The approach enables us not only to detect significant mean changes, but also significant correlation changes in response to external stimuli. Furthermore a method to single out hot-spot variables in the MEA data both for the mean and correlation is provided. Our methods have been validated using both simulated spike data and recordings from sheep inferotemporal cortex.

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The use of neuronal networks on multielectrode arrays as biosensors

Cited by 348 publications

References 20 publications

d-Methionine protects against cisplatin-induced neurotoxicity in cortical networks

d-Methionine protects against cisplatin-induced neurotoxicity in cortical networks

Biology on a Chip: Microfabrication for Studying the Behavior of Cultured Cells

Detecting correlation changes in electrophysiological data

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