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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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Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

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The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
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相关实验视频

Updated: Jun 8, 2025

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
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Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

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将高度可变的基因添加到空间可变的基因中,可以改善细胞类型聚类性能.

Yijun Li1, Stefan Stanojevic2, Bing He2

  • 1Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA.

Research square
|November 6, 2024
PubMed
概括
此摘要是机器生成的。

将高度可变 (HV) 基因与空间可变 (SV) 基因结合起来,可以增强空间转录学中的细胞类型聚类. 这种综合方法改善了组织样本内基因表达模式的分析.

关键词:
集群集成是指集群集成.功能选择 功能选择空间转录学 空间转录学

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Isolation and Profiling of Human Primary Mesenteric Arterial Endothelial Cells at the Transcriptome Level
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A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations
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相关实验视频

Last Updated: Jun 8, 2025

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Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

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Isolation and Profiling of Human Primary Mesenteric Arterial Endothelial Cells at the Transcriptome Level
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科学领域:

  • 基因组学就是基因组学.
  • 生物信息学是一种生物信息学.
  • 计算生物学 计算生物学

背景情况:

  • 空间转录学使得在组织背景下进行基因表达分析.
  • 空间变量 (SV) 基因显示与组织结构相关的表达模式.
  • 高度可变 (HV) 基因表现出细胞间显著的表达差异.

研究的目的:

  • 调查是否结合高度可变 (HV) 基因可以改善空间转录组学中的细胞类型聚类.
  • 为了比较使用HV基因,SV基因及其组合集的集群性能.

主要方法:

  • 在50多个空间转录组学数据集上测试了聚类性能.
  • 利用多个平台和空间和非空间评估指标.
  • 基因组进行比较:只有HV基因,只有SV基因,以及两者的结合.

主要成果:

  • 结合HV和SV基因证明了细胞类型聚类的改善.
  • 这种综合基因组方法单独使用HV或SV基因表现出色.
  • 性能增长在各种数据集和平台上是一致的.

结论:

  • 整合高度可变和空间可变的基因是空间转录组学中细胞类型聚类的优越策略.
  • 这种方法提高了空间转录学数据分析的准确性和稳定性.
  • 这些发现表明,在空间转录组学研究中,基因选择的新标准.