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Characterizing Rat PNS Electrophysiological Response to Electrical Stimulation Using in vitro Chip-Based Human Investigational Platform (iCHIP)

Authors: Joshua Khani; Lindsay Prescod; Heather Enright; Sarah Felix; Joanne Osburn; Elizabeth Wheeler; Kris Kulp;

Characterizing Rat PNS Electrophysiological Response to Electrical Stimulation Using in vitro Chip-Based Human Investigational Platform (iCHIP)

Abstract

Ex vivo systems and organ-on-a-chip technology offer an unprecedented approach to modeling the inner workings of the human body. The ultimate goal of LLNL’s in vitro Chip-based Human Investigational Platform (iCHIP) is to integrate multiple organ tissue cultures using microfluidic channels, multi-electrode arrays (MEA), and other biosensors in order to effectively simulate and study the responses and interactions of the major organs to chemical and physical stimulation. In this study, we focused on the peripheral nervous system (PNS) component of the iCHIP system. Specifically we sought to expound on prior research investigating the electrophysiological response of rat dorsal root ganglion cells (rDRGs) to chemical exposures, such as capsaicin. Our aim was to establish a protocol for electrical stimulation using the iCHIP device that would reliably elicit a characteristic response in rDRGs. By varying the parameters for both the stimulation properties – amplitude, phase width, phase shape, and stimulation/ return configuration – and the culture conditions – day in vitro and neural cell types - we were able to make several key observations and uncover a potential convention with a minimal number of devices tested. Future work will seek to establish a standard protocol for human DRGs in the iCHIP whichmore » will afford a portable, rapid method for determining the effects of toxins and novel therapeutics on the PNS.« less

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average