通过LncExpDB 2.0在各种生物环境中绘制人类长非编码RNA的表达景观
Yue Qi1,2,3, Zhao Li1,2,3, Xinyu Zhou1,2,3
1National Genomics Data Center, China National Center for Bioinformation, Beijing 100101, China.
Nucleic acids research
|November 18, 2025
概括
LncExpDB 2.0将人类长非编码RNA (lncRNA) 表达数据扩展到15个环境,识别数百万个相互作用,并为基因组研究提供新的工具.
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.
- 分子生物学分子生物学
背景情况:
- 长非编码RNA (lncRNAs) 在各种生物过程中起着至关重要的作用.
- 现有的数据库在各种人类条件下为lncRNA表达提供了有限的范围.
- 了解lncRNA表达对于探索非编码基因组至关重要.
研究的目的:
- 为了介绍LncExpDB 2.0,一个更新和扩展的人类lncRNA表达的数据库.
- 为在多种生物环境中分析 lncRNA 功能提供一个全面的资源.
- 为了促进 lncRNA-mRNA 相互作用及其功能影响的探索.
主要方法:
- 从9到15个生物背景的综合数据,包括免疫疗法,衰老和疾病.
- 确定了高度表达的基因,功能相关的基因和lncRNA-mRNA联合表达对.
- 为 lncRNA-mRNA 相互作用和 lncRNA-免疫检查点相关性开发了新的分析工具.
主要成果:
- 扩展数据库涵盖了15个生物背景,整合了诸如衰老和神经退行性疾病等新领域.
- 确定了44,752个高度表达的基因,39,253个特色基因和3519万个lncRNA-mRNA共表达对.
- 进行了深入的功能分析,包括瘤微环境相关性和与年龄相关的表达特征.
结论:
- LncExpDB 2.0提供了人类lncRNA表达的多种背景.
- 该数据库是对人类基因组非编码区域的功能性探索的关键资源.
- 新的工具和数据促进了可重现表达式分析和复杂相互作用分析.
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