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多重单细胞RNA分析

Multiplexed Single-Cell RNA Profiling.

作者信息

Wang Yu-Sheng, Guo Jia

机构信息

Biodesign Institute and School of Molecular Sciences, Arizona State University, Tempe, AZ, United States.

出版信息

Front Mol Biosci. 2021 Nov 11;8:775410. doi: 10.3389/fmolb.2021.775410. eCollection 2021.

DOI:10.3389/fmolb.2021.775410
PMID:34859055
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8632036/
Abstract

The ability to quantify a large number of varied transcripts in single cells in their native spatial context is crucial to accelerate our understanding of health and disease. Bulk cell RNA analysis masks the heterogeneity in the cell population, while the conventional RNA imaging approaches suffer from low multiplexing capacity. Recent advances in multiplexed fluorescence hybridization (FISH) methods enable comprehensive RNA profiling in individual cells . These technologies will have wide applications in many biological and biomedical fields, including cell type classification, signaling network analysis, tissue architecture, disease diagnosis and patient stratification, etc. In this minireview, we will present the recent technological advances of multiplexed single-cell RNA profiling assays, discuss their advantages and limitations, describe their biological applications, highlight the current challenges, and propose potential solutions.

摘要

在天然空间背景下对单个细胞中的大量不同转录本进行定量分析的能力,对于加速我们对健康和疾病的理解至关重要。大量细胞RNA分析掩盖了细胞群体中的异质性,而传统的RNA成像方法则存在多重检测能力低的问题。多重荧光原位杂交(FISH)方法的最新进展使得在单个细胞中进行全面的RNA分析成为可能。这些技术将在许多生物学和生物医学领域有广泛应用,包括细胞类型分类、信号网络分析、组织结构、疾病诊断和患者分层等。在本综述中,我们将介绍多重单细胞RNA分析检测的最新技术进展,讨论其优缺点,描述其生物学应用,突出当前面临的挑战,并提出潜在的解决方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c76/8632036/8b7b1da644aa/fmolb-08-775410-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c76/8632036/63b720c1b3e9/fmolb-08-775410-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c76/8632036/8b7b1da644aa/fmolb-08-775410-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c76/8632036/63b720c1b3e9/fmolb-08-775410-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c76/8632036/8b7b1da644aa/fmolb-08-775410-g002.jpg

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本文引用的文献

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Cells. 2021 May 21;10(6):1277. doi: 10.3390/cells10061277.
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Uncovering an Organ's Molecular Architecture at Single-Cell Resolution by Spatially Resolved Transcriptomics.通过空间分辨转录组学揭示单细胞分辨率下器官的分子结构。
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