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一个单细胞RNA-Seq注释,整合和细胞间通信的审查

Changde Cheng¹, Wenan Chen², Hongjian Jin²

¹Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.

|August 11, 2023

概括

单细胞RNA测序 (scRNA-seq) 揭示了细胞细节,有助于识别细胞类型和相互作用. 本综述涵盖了scRNA-seq数据解释的分析方法,挑战和未来方向.

科学领域:

单细胞生物学单细胞生物学
基因组学就是基因组学.
生物信息学是一种生物信息学.

背景情况:

单细胞RNA测序 (scRNA-seq) 提供了对细胞异质性和相互作用的高分辨率见解.
它的应用在基础和临床研究中不断扩大.
在scRNA-seq分析的进步对于生物学发现至关重要.

研究的目的:

提供当前scRNA-seq分析方法和工具的全面审查.
讨论scRNA-seq.中的分析选择的挑战和潜在影响.
突出该领域最近的进展和未来的方向.

主要方法:

对scRNA-seq分析方法的调查,重点是计数建模和细胞类型注释.
对数据集成技术的审查,包括空间转录学.
探索细胞间通信推断方法.

主要成果:

识别了scRNA-seq分析中的关键挑战,例如数据稀疏性和注释可靠性.
讨论了分析工具对识别细胞亚群的影响.
突出了多式联运数据集成和通信网络推断的新工具.

结论:

scRNA-seq分析正在迅速推进,有新的注释和集成工具.
解决分析挑战对于准确解释单细胞数据至关重要.
未来的方向包括多式联网数据分析和增强的蜂通信网络推断.

关键词:

单元格类型的注释细胞细胞通信细胞细胞通信 scRNA-seq分析方法分析方法单单元格数据集成数据集成

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相关概念视频

RNA-seq

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while microarray-based...