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相关概念视频

RNA-seq03:21

RNA-seq

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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...
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An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing
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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.

STAR protocols
|August 3, 2024
PubMed
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:

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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  • 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.