使用指南针对单细胞基因调节的比较分析
Changxin Wan1, Yilong Qu2, Zhiyou Ye3
1Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, USA; Program of Computational Biology and Bioinformatics, Duke University School of Medicine, Durham, NC, USA.
Cell reports methods
|May 9, 2025
概括
我们开发了Compass,这是一个工具,可以使用单细胞多基因数据在许多组织中比较基因调节. "指南针"识别了特定组织的基因调节元素及其转录因子.
科学领域:
- 基因组学就是基因组学.
- 计算生物学 计算生物学
- 分子生物学分子生物学
背景情况:
- 单细胞多组技术可以同时测量单细胞中的基因表达和染色质可访问性.
- 目前的分析通常集中在单个组织上,限制了对组织特异性基因调节的理解.
- 区分组织特异性 cis-regulatory element (CRE) 功能与广泛作用的功能仍然是一个挑战.
研究的目的:
- 开发一个计算框架,用于对大量人类和小鼠组织的基因调节进行比较分析.
- 为了能够识别特定于组织的CRE基因联系和相关的调节因素.
- 为探索跨组织基因调节提供可访问的资源.
主要方法:
- 开发CompassDB,这是一个全面的数据库,处理了来自多种人类和小鼠组织的280多万个细胞的单细胞多组数据.
- 创建了CompassR,这是一个开源的R软件包,用于分析和可视化CompassDB.com数据.
- 应用CompassR以识别CRE基因关联和转录因子活动在多组织环境中.
主要成果:
- CompassDB集成了广泛的单细胞多omics数据,促进了大规模的比较分析.
- CompassR能够有效地可视化和比较跨多种组织的基因调节场景.
- 该框架在案例研究中成功确定了组织特异性的CRE基因链接及其相关的转录因子.
结论:
- "指南针"提供了一个强大的平台,可以使用单细胞多基因组数据剖析组织特异性基因调节.
- 开发的工具有助于发现基于组织多样性的新型调节机制.
- 这种方法有助于我们更好地理解 cis 调节元件如何对细胞类型和组织特异性基因表达模式作出贡献.
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