xQTLatlas:一个全面的人类细胞分辨率多omics遗传调节景观的综合资源
Yuran Jia1, Hongchao Dong1, Linhao Li2
1Faculty of Computing, Harbin Institute of Technology, Harbin 150001, China.
Nucleic acids research
|October 1, 2024
概括
xQTLatlas是一个新的数据库,整合了151种细胞类型和339种细胞状态的多omics遗传调节数据. 本资源有助于理解遗传变异如何影响不同细胞环境中的分子表型.
科学领域:
- 基因组学就是基因组学.
- 系统生物学 系统生物学
- 生物信息学是一种生物信息学.
背景情况:
- 了解遗传变异对分子表型的影响,是复杂特征机制的关键.
- 细胞定量特征位置 (xQTL) 研究的进步产生了大量的数据.
- 需要一个全面的,可访问的平台来整合这个不断增长的xQTL数据.
研究的目的:
- 开发xQTLatlas,一个数据库,在细胞分辨率上提供多omics遗传调节景观.
- 为研究不同细胞环境中的遗传调节的研究人员创建一个可访问的资源.
主要方法:
- 在55个人类组织中编制了151种细胞类型和339种细胞状态的xQTL总结统计数据.
- 根据四种发现策略,将数据组织成20种xQTL类型,涵盖13种分子表型.
- 有注释的条目包含全面的元数据,包括组织起源,细胞类型,细胞状态和发现策略.
主要成果:
- xQTLatlas集成了一个大规模的细胞级xQTL数据集合.
- 该数据库提供详细的元数据,并支持多尺度数据探索.
- 交互式可视化可促进细胞水平遗传调节的深入分析.
结论:
- xQTLatlas是了解功能变异对分子表型的影响的宝贵资源.
- 该平台以细胞分辨率为复杂特征的遗传结构的研究提供便利.
- 能够更深入地了解细胞特异性基因调节及其在生物复杂性中的作用.
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