Literature DB >> 30059319

Single-Cell Recording of Vesicle Release From Human Neuroblastoma Cells Using 1024-ch Monolithic CMOS Bioelectronics.

Kevin A White, Geoffrey Mulberry, Jonhoi Smith, Manfred Lindau, Bradley A Minch, Kiminobu Sugaya, Brian N Kim.   

Abstract

Human neuroblastoma cells, SH-SY5Y, are often used as a neuronal model to study Parkinson's disease and dopamine release in the substantia nigra, a midbrain region that plays an important role in motor control. Using amperometric single-cell recordings of single vesicle release events, we can study molecular manipulations of dopamine release and gain a better understanding of the mechanisms of neurological diseases. However, single-cell analysis of neurotransmitter release using traditional techniques yields results with very low throughput. In this paper, we will discuss a monolithically-integrated CMOS sensor array that has the low-noise performance, fine temporal resolution, and 1024 parallel channels to observe dopamine release from many single cells with single-vesicle resolution. The measured noise levels of our transimpedance amplifier are 415, 622, and 1083 [Formula: see text], at sampling rates of 10, 20, and 30 kS/s, respectively, without additional filtering. Post-CMOS processing is used to monolithically integrate 1024 on-chip gold electrodes, with an individual electrode size of 15 μm × 15 μm, directly on 1024 transimpedance amplifiers in the CMOS device. SU-8 traps are fabricated on individual electrodes to allow single cells to be interrogated and to reject multicellular clumps. Dopamine secretions from 76 cells are simultaneously recorded by loading the CMOS device with SH-SY5Y cells. In the 42-s measurement, a total of 7147 single vesicle release events are monitored. The study shows the CMOS device's capability of recording vesicle secretion at a single-cell level, with 1024 parallel channels, to provide detailed information on the dynamics of dopamine release at a single-vesicle resolution.

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Year:  2018        PMID: 30059319      PMCID: PMC6361518          DOI: 10.1109/TBCAS.2018.2861220

Source DB:  PubMed          Journal:  IEEE Trans Biomed Circuits Syst        ISSN: 1932-4545            Impact factor:   3.833


  5 in total

1.  Challenges for Microelectronics in Non-Invasive Medical Diagnostics.

Authors:  Marco Carminati; Carlo Fiorini
Journal:  Sensors (Basel)       Date:  2020-06-29       Impact factor: 3.576

2.  Drug testing complementary metal-oxide-semiconductor chip reveals drug modulation of transmitter release for potential therapeutic applications.

Authors:  Meng Huang; Shailendra S Rathore; Manfred Lindau
Journal:  J Neurochem       Date:  2019-07-31       Impact factor: 5.372

3.  Quantifying neurotransmitter secretion at single-vesicle resolution using high-density complementary metal-oxide-semiconductor electrode array.

Authors:  Kevin A White; Brian N Kim
Journal:  Nat Commun       Date:  2021-01-18       Impact factor: 14.919

4.  On-Chip Cyclic Voltammetry Measurements Using a Compact 1024-Electrode CMOS IC.

Authors:  Meng Huang; Carlos I Dorta-Quiñones; Bradley A Minch; Manfred Lindau
Journal:  Anal Chem       Date:  2021-05-26       Impact factor: 8.008

5.  Simultaneous Quantification of Vesicle Size and Catecholamine Content by Resistive Pulses in Nanopores and Vesicle Impact Electrochemical Cytometry.

Authors:  Xin-Wei Zhang; Amir Hatamie; Andrew G Ewing
Journal:  J Am Chem Soc       Date:  2020-02-24       Impact factor: 15.419

  5 in total

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