Patch-Seq Protocol to Analyze the Electrophysiology, Morphology and Transcriptome of Whole Single Neurons Derived From Human Pluripotent Stem Cells

10.3389/fnmol.2018.00261

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Main Authors:	van den Hurk, M., Erwin, J.A., Yeo, G.W., Gage, F.H., Bardy, C.
Other Authors:	PHYSIOLOGY
Format:	Article
Published:	Frontiers Media S.A. 2021
Subjects:	Cellular phenotyping Electrophysiology Human neuron transcriptome Induced pluripotent stem cell (iPSC) Neuronal diversity Patch clamping Patch-seq Single-cell RNA-seq
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/210094
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-210094
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spelling	sg-nus-scholar.10635-2100942024-04-04T00:51:10Z Patch-Seq Protocol to Analyze the Electrophysiology, Morphology and Transcriptome of Whole Single Neurons Derived From Human Pluripotent Stem Cells van den Hurk, M. Erwin, J.A. Yeo, G.W. Gage, F.H. Bardy, C. PHYSIOLOGY Cellular phenotyping Electrophysiology Human neuron transcriptome Induced pluripotent stem cell (iPSC) Neuronal diversity Patch clamping Patch-seq Single-cell RNA-seq 10.3389/fnmol.2018.00261 Frontiers in Molecular Neuroscience 11 261 2021-12-09T05:01:03Z 2021-12-09T05:01:03Z 2018 Article van den Hurk, M., Erwin, J.A., Yeo, G.W., Gage, F.H., Bardy, C. (2018). Patch-Seq Protocol to Analyze the Electrophysiology, Morphology and Transcriptome of Whole Single Neurons Derived From Human Pluripotent Stem Cells. Frontiers in Molecular Neuroscience 11 : 261. ScholarBank@NUS Repository. https://doi.org/10.3389/fnmol.2018.00261 1662-5099 https://scholarbank.nus.edu.sg/handle/10635/210094 Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/ Frontiers Media S.A. Scopus OA2018
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Cellular phenotyping Electrophysiology Human neuron transcriptome Induced pluripotent stem cell (iPSC) Neuronal diversity Patch clamping Patch-seq Single-cell RNA-seq
spellingShingle	Cellular phenotyping Electrophysiology Human neuron transcriptome Induced pluripotent stem cell (iPSC) Neuronal diversity Patch clamping Patch-seq Single-cell RNA-seq van den Hurk, M. Erwin, J.A. Yeo, G.W. Gage, F.H. Bardy, C. Patch-Seq Protocol to Analyze the Electrophysiology, Morphology and Transcriptome of Whole Single Neurons Derived From Human Pluripotent Stem Cells
description	10.3389/fnmol.2018.00261
author2	PHYSIOLOGY
author_facet	PHYSIOLOGY van den Hurk, M. Erwin, J.A. Yeo, G.W. Gage, F.H. Bardy, C.
format	Article
author	van den Hurk, M. Erwin, J.A. Yeo, G.W. Gage, F.H. Bardy, C.
author_sort	van den Hurk, M.
title	Patch-Seq Protocol to Analyze the Electrophysiology, Morphology and Transcriptome of Whole Single Neurons Derived From Human Pluripotent Stem Cells
title_short	Patch-Seq Protocol to Analyze the Electrophysiology, Morphology and Transcriptome of Whole Single Neurons Derived From Human Pluripotent Stem Cells
title_full	Patch-Seq Protocol to Analyze the Electrophysiology, Morphology and Transcriptome of Whole Single Neurons Derived From Human Pluripotent Stem Cells
title_fullStr	Patch-Seq Protocol to Analyze the Electrophysiology, Morphology and Transcriptome of Whole Single Neurons Derived From Human Pluripotent Stem Cells
title_full_unstemmed	Patch-Seq Protocol to Analyze the Electrophysiology, Morphology and Transcriptome of Whole Single Neurons Derived From Human Pluripotent Stem Cells
title_sort	patch-seq protocol to analyze the electrophysiology, morphology and transcriptome of whole single neurons derived from human pluripotent stem cells
publisher	Frontiers Media S.A.
publishDate	2021
url	https://scholarbank.nus.edu.sg/handle/10635/210094
_version_	1795374817373847552

Patch-Seq Protocol to Analyze the Electrophysiology, Morphology and Transcriptome of Whole Single Neurons Derived From Human Pluripotent Stem Cells

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