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Title: Long-term non-invasive interrogation of human dorsal root ganglion neuronal cultures on an integrated microfluidic multielectrode array platform

Abstract

Scientific studies in drug development and toxicology rely heavily on animal models, which often inaccurately predict the true response for human exposure. This may lead to unanticipated adverse effects or misidentified risks that result in, for example, drug candidate elimination. The utilization of human cells and tissues for in vitro physiological platforms has become a growing area of interest to bridge this gap and to more accurately predict human responses to drugs and toxins. The effects of new drugs and toxins on the peripheral nervous system are often investigated with neurons isolated from dorsal root ganglia (DRG), typically with one-time measurement techniques such as patch clamping. Here, we report the use of our multi-electrode array (MEA) platform for long-term noninvasive assessment of human DRG cell health and function. In this study, we acquired simultaneous optical and electrophysiological measurements from primary human DRG neurons upon chemical stimulation repeatedly through day in vitro (DIV) 23. Distinct chemical signatures were noted for the cellular responses evoked by each chemical stimulus. Additionally, the cell viability and function of the human DRG neurons were consistent through DIV 23. To the best of our knowledge, this is the first report on long-term measurements of the cellmore » health and function of human DRG neurons on a MEA platform. Future generations will include higher electrode numbers in customized arrangements as well as integration with different tissue types on a single device. This platform will provide a valuable testing tool for both rodent and human cells, enabling a more comprehensive risk assessment for drug candidates and toxicants.« less

Authors:
 [1];  [1];  [1];  [1];  [1];  [1];  [1];  [2];  [2];  [2];  [2];  [1];  [1]
  1. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  2. Anabios, Inc., San Diego, CA (United States)
Publication Date:
Research Org.:
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1467804
Report Number(s):
LLNL-JRNL-674199
Journal ID: ISSN 0003-2654; ANALAO; 796995
Grant/Contract Number:  
AC52-07NA27344
Resource Type:
Accepted Manuscript
Journal Name:
Analyst
Additional Journal Information:
Journal Volume: 141; Journal Issue: 18; Journal ID: ISSN 0003-2654
Publisher:
Royal Society of Chemistry
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES

Citation Formats

Enright, H. A., Felix, S. H., Fischer, N. O., Mukerjee, E. V., Soscia, D., Mcnerney, M., Kulp, K., Zhang, J., Page, G., Miller, P., Ghetti, A., Wheeler, E. K., and Pannu, S. Long-term non-invasive interrogation of human dorsal root ganglion neuronal cultures on an integrated microfluidic multielectrode array platform. United States: N. p., 2016. Web. doi:10.1039/c5an01728a.
Enright, H. A., Felix, S. H., Fischer, N. O., Mukerjee, E. V., Soscia, D., Mcnerney, M., Kulp, K., Zhang, J., Page, G., Miller, P., Ghetti, A., Wheeler, E. K., & Pannu, S. Long-term non-invasive interrogation of human dorsal root ganglion neuronal cultures on an integrated microfluidic multielectrode array platform. United States. https://doi.org/10.1039/c5an01728a
Enright, H. A., Felix, S. H., Fischer, N. O., Mukerjee, E. V., Soscia, D., Mcnerney, M., Kulp, K., Zhang, J., Page, G., Miller, P., Ghetti, A., Wheeler, E. K., and Pannu, S. Tue . "Long-term non-invasive interrogation of human dorsal root ganglion neuronal cultures on an integrated microfluidic multielectrode array platform". United States. https://doi.org/10.1039/c5an01728a. https://www.osti.gov/servlets/purl/1467804.
@article{osti_1467804,
title = {Long-term non-invasive interrogation of human dorsal root ganglion neuronal cultures on an integrated microfluidic multielectrode array platform},
author = {Enright, H. A. and Felix, S. H. and Fischer, N. O. and Mukerjee, E. V. and Soscia, D. and Mcnerney, M. and Kulp, K. and Zhang, J. and Page, G. and Miller, P. and Ghetti, A. and Wheeler, E. K. and Pannu, S.},
abstractNote = {Scientific studies in drug development and toxicology rely heavily on animal models, which often inaccurately predict the true response for human exposure. This may lead to unanticipated adverse effects or misidentified risks that result in, for example, drug candidate elimination. The utilization of human cells and tissues for in vitro physiological platforms has become a growing area of interest to bridge this gap and to more accurately predict human responses to drugs and toxins. The effects of new drugs and toxins on the peripheral nervous system are often investigated with neurons isolated from dorsal root ganglia (DRG), typically with one-time measurement techniques such as patch clamping. Here, we report the use of our multi-electrode array (MEA) platform for long-term noninvasive assessment of human DRG cell health and function. In this study, we acquired simultaneous optical and electrophysiological measurements from primary human DRG neurons upon chemical stimulation repeatedly through day in vitro (DIV) 23. Distinct chemical signatures were noted for the cellular responses evoked by each chemical stimulus. Additionally, the cell viability and function of the human DRG neurons were consistent through DIV 23. To the best of our knowledge, this is the first report on long-term measurements of the cell health and function of human DRG neurons on a MEA platform. Future generations will include higher electrode numbers in customized arrangements as well as integration with different tissue types on a single device. This platform will provide a valuable testing tool for both rodent and human cells, enabling a more comprehensive risk assessment for drug candidates and toxicants.},
doi = {10.1039/c5an01728a},
journal = {Analyst},
number = 18,
volume = 141,
place = {United States},
year = {Tue Jun 28 00:00:00 EDT 2016},
month = {Tue Jun 28 00:00:00 EDT 2016}
}

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