Approaches for single-cell RNA sequencing across tissues and cell types.

IF 3.6 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Transcription-Austin Pub Date : 2023-06-01 Epub Date: 2023-04-16 DOI:10.1080/21541264.2023.2200721
Pooja Sant, Karsten Rippe, Jan-Philipp Mallm
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引用次数: 0

Abstract

Single-cell sequencing of RNA (scRNA-seq) has advanced our understanding of cellular heterogeneity and signaling in developmental biology and disease. A large number of complementary assays have been developed to profile transcriptomes of individual cells, also in combination with other readouts, such as chromatin accessibility or antibody-based analysis of protein surface markers. As scRNA-seq technologies are advancing fast, it is challenging to establish robust workflows and up-to-date protocols that are best suited to address the large range of research questions. Here, we review scRNA-seq techniques from mRNA end-counting to total RNA in relation to their specific features and outline the necessary sample preparation steps and quality control measures. Based on our experience in dealing with the continuously growing portfolio from the perspective of a central single-cell facility, we aim to provide guidance on how workflows can be best automatized and share our experience in coping with the continuous expansion of scRNA-seq techniques.

跨组织和细胞类型的单细胞 RNA 测序方法。
单细胞 RNA 测序(scRNA-seq)促进了我们对发育生物学和疾病中细胞异质性和信号转导的了解。目前已开发出大量用于分析单个细胞转录组的互补检测方法,还可与染色质可及性或基于抗体的蛋白质表面标记分析等其他读数相结合。由于 scRNA-seq 技术发展迅速,建立健全的工作流程和最适合解决大量研究问题的最新方案具有挑战性。在此,我们将结合从 mRNA 末端计数到总 RNA 的 scRNA-seq 技术的具体特点进行综述,并概述必要的样品制备步骤和质量控制措施。基于我们从中央单细胞设备的角度处理不断增长的产品组合的经验,我们旨在就如何实现工作流程最佳自动化提供指导,并分享我们在应对不断扩展的 scRNA-seq 技术方面的经验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Transcription-Austin
Transcription-Austin BIOCHEMISTRY & MOLECULAR BIOLOGY-
CiteScore
6.50
自引率
5.60%
发文量
9
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