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用于分析源自人类多能干细胞的完整单个神经元的电生理学、形态学和转录组的Patch-Seq实验方案

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

作者信息

van den Hurk Mark, Erwin Jennifer A, Yeo Gene W, Gage Fred H, Bardy Cedric

机构信息

Laboratory for Human Neurophysiology and Genetics, South Australian Health and Medical Research Institute (SAHMRI) Mind and Brain, Adelaide, SA, Australia.

The Lieber Institute for Brain Development, Baltimore, MD, United States.

出版信息

Front Mol Neurosci. 2018 Aug 10;11:261. doi: 10.3389/fnmol.2018.00261. eCollection 2018.

Abstract

The human brain is composed of a complex assembly of about 171 billion heterogeneous cellular units (86 billion neurons and 85 billion non-neuronal glia cells). A comprehensive description of brain cells is necessary to understand the nervous system in health and disease. Recently, advances in genomics have permitted the accurate analysis of the full transcriptome of single cells (scRNA-seq). We have built upon such technical progress to combine scRNA-seq with patch-clamping electrophysiological recording and morphological analysis of single human neurons . This new powerful method, referred to as Patch-seq, enables a thorough, multimodal profiling of neurons and permits us to expose the links between functional properties, morphology, and gene expression. Here, we present a detailed Patch-seq protocol for isolating single neurons from neuronal cultures. We have validated the Patch-seq whole-transcriptome profiling method with human neurons generated from embryonic and induced pluripotent stem cells (ESCs/iPSCs) derived from healthy subjects, but the procedure may be applied to any kind of cell type . Patch-seq may be used on neurons to profile cell types and states in depth to unravel the human molecular basis of neuronal diversity and investigate the cellular mechanisms underlying brain disorders.

摘要

人类大脑由约1710亿个异质细胞单元(860亿个神经元和850亿个非神经元神经胶质细胞)复杂组合而成。全面描述脑细胞对于理解健康和疾病状态下的神经系统至关重要。最近,基因组学的进展使得对单细胞的完整转录组进行精确分析成为可能(单细胞RNA测序,scRNA-seq)。我们基于这一技术进步,将scRNA-seq与膜片钳电生理记录以及单个人类神经元的形态分析相结合。这种新的强大方法,即膜片钳测序(Patch-seq),能够对神经元进行全面的多模态分析,并使我们能够揭示功能特性、形态和基因表达之间的联系。在这里,我们展示了一种从神经元培养物中分离单个神经元的详细Patch-seq实验方案。我们已经用来自健康受试者的胚胎干细胞和诱导多能干细胞(ESCs/iPSCs)生成的人类神经元验证了Patch-seq全转录组分析方法,但该程序可应用于任何细胞类型。Patch-seq可用于对神经元进行深入的细胞类型和状态分析,以揭示神经元多样性的人类分子基础,并研究脑部疾病背后的细胞机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f790/6096303/ea89d19d99d1/fnmol-11-00261-g001.jpg

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