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相关概念视频

Cis-regulatory Sequences02:02

Cis-regulatory Sequences

Cis-regulatory sequences are short fragments of non-coding DNA that are present on the same chromosomes as the genes that they regulate. These fragments serve as binding sites for transcriptional regulators, proteins that are responsible for controlling gene transcription and differential gene expression across cell types in eukaryotes. Cis-regulatory sequences can be close to the gene of interest or thousands of bases away in the DNA sequence; however, those sequences that are further away are...
Genome Annotation and Assembly03:36

Genome Annotation and Assembly

The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.

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相关实验视频

Updated: Jun 29, 2026

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations
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稳定标记基因识别和功能注释从单细胞转录数据的功能注释.

Sandesh Acharya1,2,3,4,5, Pathum Kossinna2,6, Qingrun Zhang2,3,6,7,8

  • 1Department of Cell Biology and Anatomy, University of Calgary, Calgary, Alberta, Canada.

PLoS computational biology
|October 17, 2025
PubMed
概括
此摘要是机器生成的。

scSCOPE在单细胞RNA测序数据中识别出可复制的细胞类型标记基因. 这种基于R的平台增强了细胞注释和功能分析,优于传统方法.

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科学领域:

  • 计算生物学 计算生物学
  • 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:

  • 单细胞转录组产生大型数据集,需要可复制标记基因识别和功能细胞注释.
  • 传统的差异基因表达 (DEG) 分析方法在数据集和功能洞察力之间缺乏一致性.
  • 准确的细胞类型识别对于理解细胞异质性和功能至关重要.

研究的目的:

  • 在单细胞RNA测序 (scRNAseq) 数据中引入scSCOPE,这是一个基于R的平台,用于识别可复制的标记基因和相关途径.
  • 改进细胞类型的注释,并促进细胞异质性的功能性研究.
  • 为scRNAseq数据提供一种强大的替代传统DEG分析.

主要方法:

  • 使用稳定LASSO (最小绝对收缩和选择运算符) 进行特征选择.
  • 采用启动的共同表达网络来识别基因关系.
  • 集成路径丰富分析用于标记基因的功能注释.

主要成果:

  • scSCOPE在9个不同的scRNAseq数据集 (人类和小鼠免疫细胞) 中确定了可复制的,细胞类型特定的标记基因和途径,具有很高的一致性.
  • 与传统方法相比,在标记基因识别和功能注释方面表现出优越的性能.
  • 通过联合表达和途径分析,对已识别的标记基因的功能提供了深入的分子见解.

结论:

  • scSCOPE为标记基因发现和scRNAseq数据中的功能注释提供了强大的和一致的方法.
  • 该平台提高了细胞类型注释的准确性,并加速了实验验证.
  • 预计scSCOPE将大大推进细胞异质性和功能的研究.