Literature DB >> 29454965

Detection of synchronized burst firing in cultured human induced pluripotent stem cell-derived neurons using a 4-step method.

N Matsuda1, A Odawara2, H Katoh1, N Okuyama1, R Yokoi1, I Suzuki3.   

Abstract

Human induced pluripotent stem cell-derived neurons are promising for use in toxicity evaluations in nonclinical studies. The multi-electrode array (MEA) assay is used in such evaluation systems because it can measure the electrophysiological function of a neural network noninvasively and with high throughput. Synchronized burst firing (SBF) is the main analytic parameter of pharmacological effects in MEA data, but an accurate method for detecting SBFs has not been established. In this study, we present a 4-step method that accurately detects a target SBF confirmed by the researcher's interpretation of a raster plot. This method calculates one set parameter per step, in the following order: the inter-spike interval (ISI), the number of spikes in an SBF, the inter-SBF interval, and the number of spikes in an SBF again. We found that the 4-step method is advantageous over the conventional method because it determines the preferable duration of an SBF, accurately distinguishes continuous SBFs, detects weak SBFs, and avoids false detection of SBFs. We found also that pharmacological evaluations involving SBF analysis may differ depending on whether the 4-step or conventional threshold method is used. This 4-step method may contribute to improving the accuracy of drug toxicity and efficacy evaluations using human induced pluripotent stem cell-derived neurons.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  4-step method; Human iPSC-derived cortical neurons; Multi-electrode array; Synchronized burst firing

Mesh:

Year:  2018        PMID: 29454965     DOI: 10.1016/j.bbrc.2018.02.117

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  7 in total

Review 1.  In vitro Models for Seizure-Liability Testing Using Induced Pluripotent Stem Cells.

Authors:  Alastair I Grainger; Marianne C King; David A Nagel; H Rheinallt Parri; Michael D Coleman; Eric J Hill
Journal:  Front Neurosci       Date:  2018-08-31       Impact factor: 4.677

2.  Impact of Sleep-Wake-Associated Neuromodulators and Repetitive Low-Frequency Stimulation on Human iPSC-Derived Neurons.

Authors:  Remi Yokoi; Miho Okabe; Naoki Matsuda; Aoi Odawara; Akihiro Karashima; Ikuro Suzuki
Journal:  Front Neurosci       Date:  2019-05-29       Impact factor: 4.677

3.  L-type voltage-gated calcium channel regulation of in vitro human cortical neuronal networks.

Authors:  William Plumbly; Nick Brandon; Tarek Z Deeb; Jeremy Hall; Adrian J Harwood
Journal:  Sci Rep       Date:  2019-09-25       Impact factor: 4.379

4.  Raster plots machine learning to predict the seizure liability of drugs and to identify drugs.

Authors:  N Matsuda; A Odawara; K Kinoshita; A Okamura; T Shirakawa; I Suzuki
Journal:  Sci Rep       Date:  2022-02-10       Impact factor: 4.379

5.  Long-term morphological and functional dynamics of human stem cell-derived neuronal networks on high-density micro-electrode arrays.

Authors:  Rouhollah Habibey; Johannes Striebel; Felix Schmieder; Jürgen Czarske; Volker Busskamp
Journal:  Front Neurosci       Date:  2022-10-04       Impact factor: 5.152

6.  Cortical neurons derived from human pluripotent stem cells lacking FMRP display altered spontaneous firing patterns.

Authors:  Shreya Das Sharma; Rakhi Pal; Bharath Kumar Reddy; Bhuvaneish T Selvaraj; Nisha Raj; Krishna Kumar Samaga; Durga J Srinivasan; Loren Ornelas; Dhruv Sareen; Matthew R Livesey; Gary J Bassell; Clive N Svendsen; Peter C Kind; Siddharthan Chandran; Sumantra Chattarji; David J A Wyllie
Journal:  Mol Autism       Date:  2020-06-19       Impact factor: 7.509

7.  Toxicological evaluation of convulsant and anticonvulsant drugs in human induced pluripotent stem cell-derived cortical neuronal networks using an MEA system.

Authors:  A Odawara; N Matsuda; Y Ishibashi; R Yokoi; I Suzuki
Journal:  Sci Rep       Date:  2018-07-10       Impact factor: 4.379

  7 in total

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