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用Seqtometry分析单细胞测序数据的协议

Robert Kousnetsov¹, Daniel Hawiger¹

¹Department of Molecular Microbiology and Immunology, Saint Louis University School of Medicine, St. Louis, MO, USA.

|August 3, 2024

概括

剖析测量为单细胞RNA测序 (scRNA-seq) 和使用测序 (scATAC-seq) 分析对转化酶可访问的染色质的单细胞测定提供了一个新的协议. 这种方法可以通过生物可解释的维度进行全面的细胞表征.

科学领域:

基因组学就是基因组学.
分子生物学分子生物学
生物信息学是一种生物信息学.

背景情况:

单细胞分析对于理解细胞异质性至关重要.
现有的基因表达和染色体可访问性分析方法存在局限性.
隔离测量为多原子单细胞数据提供了一个集成的平台.

研究的目的:

使用Seqtometry进行scRNA-seq和scATAC-seq分析的详细方案.
为了证明平台的预处理,归算,评分和绘图的能力.
突出大规模和多数据集集成的扩展.

主要方法:

直接基因表达和可访问性概况的测量板块.
用基因签名进行高级评分,用于数据解释.
标准化的协议步骤包括预处理,归算,评分和绘图.

主要成果:

一个强大的协议,用于scRNA-seq和scATAC-seq组合分析.
用于细胞识别的生物可解释尺寸的生成.
对大型数据集的成功应用和多个数据集的集成.

结论:

剖析测量 (Seqtometry) 协议有助于对单细胞进行全面的表征.
它可以直接识别和详细分析特定细胞群的详细情况.
这种方法有助于分析复杂的单细胞多原子数据.

关键词:

生物信息学是一种生物信息学.细胞生物学细胞生物学免疫学免疫学免疫学序列分析是指进行序列分析.系统生物学系统生物学

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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...