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Microfluidic platforms for single neuron analysis

delete2022-01-01
delete13
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OA
AI
P
Pallavi Gupta
A
Ashwini Shinde
K
Kavitha Illath
S
Srabani Kar
M
Moeto Nagai
F
Fan‐Gang Tseng
T
Tuhin Subhra Santra *
DOI:10.1016/j.mtbio.2022.100222delete
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Abstract

Abstract

En 中文
Single-neuron actions are the basis of brain function, as clinical sequelae, neuronal dysfunction or failure for most of the central nervous system (CNS) diseases and injuries can be identified via tracing single-neurons. The bulk analysis methods tend to miscue critical information by assessing the population-averaged outcomes. However, its primary requisite in neuroscience to analyze single-neurons and to understand dynamic interplay of neurons and their environment. Microfluidic systems enable precise control over nano-to femto-liter volumes via adjusting device geometry, surface characteristics, and flow-dynamics, thus facilitating a well-defined micro-environment with spatio-temporal control for single-neuron analysis. The microfluidic platform not only offers a comprehensive landscape to study brain cell diversity at the level of transcriptome, genome, and/or epigenome of individual cells but also has a substantial role in deciphering complex dynamics of brain development and brain related disorders. In this review, we highlight recent advances of microfluidic devices for single-neuron analysis, i.e., single-neuron trapping, single-neuron dynamics, single-neuron proteomics, single-neuron transcriptomics, drug delivery at the single-neuron level, single axon guidance, and single-neuron differentiation. Moreover, we also emphasize limitations and future challenges of single-neuron analysis by focusing on key performances of throughput and multiparametric activity analysis on microfluidic platforms.
Keywords:
Single neuron analysis
Microfluidic devices
Microelectrode array
Single cell analysis
Single neuron dynamics
Omics
Single axon guidance

Journal

Materials Today Bio cover
Materials Today Bio
IF:
10.2
Papers:
3.7K
Citations:
9.5K

Organization

T
Toyohashi University of Technology
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2.4K
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U
University of Cambridge
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I
indian institute of technology (iit) - madras
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5.1K
Papers: 5.2K
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I
indian institute of technology system (iit system)
Scholars:
9.5W
Papers: 9.9W
Citations: 93
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Cited Papers

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