期刊
NANO LETTERS
卷 17, 期 5, 页码 2757-2764出版社
AMER CHEMICAL SOC
DOI: 10.1021/acs.nanolett.6b04752
关键词
Nanowire; neuron; intracellular; extracellular; subthreshold; drug-screening
类别
资金
- National Science Foundation [ECCS-1351980]
- NSF [DMR-1503595]
- Center for Brain Activity Mapping at UC San Diego
- Qualcomm Institute CSRO Award [CITD137]
- Laboratory Directed Research and Development Exploratory Research (LDRD-ER) award from Los Alamos National Laboratory
- NIH [R21 MH099082]
- March of Dimes award
- Frontiers of Innovation Scholars Program (FISP)
- Center for Integrated Nano technologies (CINT), U.S. Department of Energy, Office of Basic Energy Sciences User Facility at Los Alamos National Laboratory [DE-AC52-06NA25396]
- Sandia National Laboratories [DE-AC04-94AL85000]
- Division Of Materials Research
- Direct For Mathematical & Physical Scien [1503595] Funding Source: National Science Foundation
- Div Of Electrical, Commun & Cyber Sys
- Directorate For Engineering [1351980] Funding Source: National Science Foundation
We report a new hybrid integration scheme that offers for the first time a nanowire-on-lead approach, which enables independent electrical addresability is scalable, and has superior spatial resolution in vertical nanowire arrays: The fabrication of these nanowire arrays is demonstrated to be scalable down to submicrometer site-to-site spacing and can be, combined with standard integrated circuit fabrication technologies. We utilize these arrays to perform elettophysio-logical recordings from mouse and rat primary neurons and human induced pluripotent stem cell (hiPSC)-derived neurons, which revealed :high signal-to-noise ratios and sensitivity to subthreshold postsynaptic potentials (PSPs)., We measured electrical activity from rodent neurons from 8 days in vitro (DIV) to 14 DIV and from hiPSC-derived neurons at 6 weeks in vitro post-culture with signal amplitude, up to 99 mV. Overall, our platform paves the way for longitudinal electrophysiological experiments on synaptic activity in human iPSC based disease models of neuronal networks, critical for understanding the mechanisms of neurological diseases and-for developing-drugs to treat them.
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