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单细胞和单细胞核RNA测序作为解析神经退行性疾病中细胞异质性和失调的有力工具。

Single-cell and single-nuclei RNA sequencing as powerful tools to decipher cellular heterogeneity and dysregulation in neurodegenerative diseases.

作者信息

Cuevas-Diaz Duran Raquel, González-Orozco Juan Carlos, Velasco Iván, Wu Jia Qian

机构信息

Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, Mexico.

Instituto de Fisiología Celular-Neurociencias, Universidad Nacional Autónoma de México, Mexico City, Mexico.

出版信息

Front Cell Dev Biol. 2022 Oct 24;10:884748. doi: 10.3389/fcell.2022.884748. eCollection 2022.

Abstract

Neurodegenerative diseases affect millions of people worldwide and there are currently no cures. Two types of common neurodegenerative diseases are Alzheimer's (AD) and Parkinson's disease (PD). Single-cell and single-nuclei RNA sequencing (scRNA-seq and snRNA-seq) have become powerful tools to elucidate the inherent complexity and dynamics of the central nervous system at cellular resolution. This technology has allowed the identification of cell types and states, providing new insights into cellular susceptibilities and molecular mechanisms underlying neurodegenerative conditions. Exciting research using high throughput scRNA-seq and snRNA-seq technologies to study AD and PD is emerging. Herein we review the recent progress in understanding these neurodegenerative diseases using these state-of-the-art technologies. We discuss the fundamental principles and implications of single-cell sequencing of the human brain. Moreover, we review some examples of the computational and analytical tools required to interpret the extensive amount of data generated from these assays. We conclude by highlighting challenges and limitations in the application of these technologies in the study of AD and PD.

摘要

神经退行性疾病影响着全球数百万人,目前尚无治愈方法。两种常见的神经退行性疾病是阿尔茨海默病(AD)和帕金森病(PD)。单细胞和单细胞核RNA测序(scRNA-seq和snRNA-seq)已成为在细胞分辨率下阐明中枢神经系统内在复杂性和动态性的强大工具。这项技术能够识别细胞类型和状态,为神经退行性疾病的细胞易感性和分子机制提供了新的见解。利用高通量scRNA-seq和snRNA-seq技术研究AD和PD的激动人心的研究正在涌现。在此,我们综述了使用这些前沿技术在理解这些神经退行性疾病方面的最新进展。我们讨论了人类大脑单细胞测序的基本原理和意义。此外,我们还综述了一些解释这些检测产生的大量数据所需的计算和分析工具的实例。最后,我们强调了这些技术在AD和PD研究应用中的挑战和局限性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2657/9637968/d3e735afdfe1/fcell-10-884748-g001.jpg

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