Microfluidics in Neuroscience

Gupta, Pallavi; Balasubramaniam, Nandhini; Kaladharan, Kiran; Tseng, Fan-Gang; Nagai, Masao; Chang, Hwan‐You; Santra, Tuhin Subhra

doi:10.1201/9781003014935-4

Cited by 3 publications

(2 citation statements)

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“…In the last two decades, the basic microfluidics techniques have been used for different cellular analysis such as cell separation, cell manipulation, cell lysis and cell culture. Moreover, microfluidics has been widely applied based on cell handling techniques in various fields of immunoassays, stem cell research, neuronal cells, polymerase chain reaction (PCR), organ-on-chip and the identification and analysis of circulating tumor cells (CTCs) [ 98 ]. Thus, it has been proposed to be a high-throughput screening technology because of its properties of miniaturization, integration, automation, low-cost analysis, easy handling and low sample consumptions (nl volumes of liquids), and it is suitable for cell-based assays.…”

Section: Single-cell Mechanical Properties For Mechanotransductionmentioning

confidence: 99%

A Review of Single-Cell Adhesion Force Kinetics and Applications

Shinde

Illath

Gupta

et al. 2021

Cells

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Cells exert, sense, and respond to the different physical forces through diverse mechanisms and translating them into biochemical signals. The adhesion of cells is crucial in various developmental functions, such as to maintain tissue morphogenesis and homeostasis and activate critical signaling pathways regulating survival, migration, gene expression, and differentiation. More importantly, any mutations of adhesion receptors can lead to developmental disorders and diseases. Thus, it is essential to understand the regulation of cell adhesion during development and its contribution to various conditions with the help of quantitative methods. The techniques involved in offering different functionalities such as surface imaging to detect forces present at the cell-matrix and deliver quantitative parameters will help characterize the changes for various diseases. Here, we have briefly reviewed single-cell mechanical properties for mechanotransduction studies using standard and recently developed techniques. This is used to functionalize from the measurement of cellular deformability to the quantification of the interaction forces generated by a cell and exerted on its surroundings at single-cell with attachment and detachment events. The adhesive force measurement for single-cell microorganisms and single-molecules is emphasized as well. This focused review should be useful in laying out experiments which would bring the method to a broader range of research in the future.

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Section: Single-cell Mechanical Properties For Mechanotransductionmentioning

confidence: 99%

A Review of Single-Cell Adhesion Force Kinetics and Applications

Shinde

Illath

Gupta

et al. 2021

Cells

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“…Compared to large-scale NoNs on MEAs, small-scale NoNs or even single neuron on MEAs will facilitate us to a deeper understanding of basic neuron functions (Yoshida et al, 2016). Moreover, increasing evidence has validated the importance and ability of single-neuron analysis (Gupta et al, 2020). Therefore, single-cell manipulation for single neuron isolation can aid in precisely locating one cell on one electrode, forming multiple single neuron-based NoNs.…”

Section: Introductionmentioning

confidence: 99%

Single neurons on microelectrode array chip: manipulation and analyses

Zhang,

Wang,

Huang

et al. 2023

Front. Bioeng. Biotechnol.

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Chips-based platforms intended for single-cell manipulation are considered powerful tools to analyze intercellular interactions and cellular functions. Although the conventional cell co-culture models could investigate cell communication to some extent, the role of a single cell requires further analysis. In this study, a precise intercellular interaction model was built using a microelectrode array [microelectrode array (MEA)]-based and dielectrophoresis-driven single-cell manipulation chip. The integrated platform enabled precise manipulation of single cells, which were either trapped on or transferred between electrodes. Each electrode was controlled independently to record the corresponding cellular electrophysiology. Multiple parameters were explored to investigate their effects on cell manipulation including the diameter and depth of microwells, the geometry of cells, and the voltage amplitude of the control signal. Under the optimized microenvironment, the chip was further evaluated using 293T and neural cells to investigate the influence of electric field on cells. An examination of the inappropriate use of electric fields on cells revealed the occurrence of oncosis. In the end of the study, electrophysiology of single neurons and network of neurons, both differentiated from human induced pluripotent stem cells (iPSC), was recorded and compared to demonstrate the functionality of the chip. The obtained preliminary results extended the nature growing model to the controllable level, satisfying the expectation of introducing more elaborated intercellular interaction models.

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