NONCODE v7.0:更新了 lncRNA 资源,整合了 scRNA-seq 数据,包括免疫基线,发育和疾病
Hongjie Liu1,2,3, Yongsan Yang4, Xin Le5
1Department of Radiology, Ningbo No. 2 Hospital, No. 41, Xibei Str, Haishu District, Ningbo 315010 Zhejiang Province, China.
Nucleic acids research
|November 20, 2025
概括
更新后的NONCODE v7.0数据库现在集成了单细胞RNA测序数据,为分析各种组织和疾病中长非编码RNA表达提供了全面的资源.
科学领域:
- 基因组学和生物信息学
- 分子生物学分子生物学
- 计算生物学 计算生物学
背景情况:
- 单细胞RNA测序 (scRNA-seq) 推进了基因表达异质性研究.
- 现有的数据库缺乏在各种生物环境中提供全面的长非编码RNA (lncRNA) 数据.
- 对lncRNA表达的系统分析需要集成的单细胞注释.
研究的目的:
- 更新NONCODE数据库以scRNA-seq数据进行系统的lncRNA表达分析.
- 为研究不同细胞类型和疾病状态中的lncRNA功能创建基础资源.
- 为数据检索,可视化和比较分析提供增强的功能模块.
主要方法:
- 从229个数据集中整合了2061个人类scrRNA-seq样本,并将其集成到NONCODE v7.0.0.中.
- 标准化质量控制和处理大约1400万个单细胞.
- 94,843个lncRNAs的注释,涵盖了NONCODE v6.0.0.中98.5%的那些.
- 开发单细胞定制的功能模块用于数据分析和可视化.
主要成果:
- NONCODE v7.0 包含了广泛的scRNA-seq数据,跨越生理和病理条件.
- 数据库注释了大量的lncRNAs在一个大,高质量的单细胞群体内.
- 增强的分析模块可以识别特定于细胞类型的差异表达 lncRNAs.
结论:
- NONCODE v7.0 作为单细胞 lncRNA 研究的关键资源.
- 综合数据和分析工具有助于研究 lncRNA 在健康和疾病中的作用.
- 该平台支持在单细胞水平上对lncRNAs的下游功能研究.
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