LncACTdb 4.0 发布：扩充实验支持的 ceRNA 互作与多层调控网络资源
LncACTdb 4.0: an updated resource of experimentally supported ceRNA interactions and multi-level regulatory networks for precision oncology
LncACTdb 4.0 发布，这是一个面向精准肿瘤学、收录人工审编且经实验支持的 ceRNA 互作与多层调控网络的数据库。该版本收录 15 008 条高置信度 ceRNA–疾病关联、18 974 个癌症相关生物标志物，以及来自超过 60 000 名个体和约 600 000 个单细胞、覆盖 69 种组织的转录组数据。数据库采用组织、细胞系、类器官和单细胞四级数据架构，并提供 12 个网页工具，支持 bulk 队列、单样本和单细胞层面的 ceRNA 分析；其中单细胞模块支持定量、聚类、轨迹重建和细胞状态注释。
来源：Nucleic Acids Research · doi.org
Non-coding RNAs (ncRNAs) can function as competing endogenous RNAs (ceRNAs) to sequester microRNAs, assembling complex regulatory networks that exert critical roles in diverse diseases. Although experimentally validated ceRNA interactions have rapidly accumulated, few resources systematically curate disease-associated ceRNA networks across multi-scale biological contexts. Here, we present LncACTdb 4.0 (https://bio-bigdata.hrbmu.edu.cn/LncACTdb), an updated repository housing manually curated, experimentally supported ceRNA interactions and multi-level regulatory networks for precision oncology. This release includes major data expansions: 15 008 high-confidence ceRNA–disease associations, 18 974 cancer-related biomarkers, as well as transcriptomic profiles from >60 000 individuals and ∼600 000 single cells covering 69 tissues. It implements a four-tier data architecture spanning tissue, cell line, organoid, and single-cell levels and provides a panel of 12 web-based tools to perform bulk-cohort, single-sample, and single-cell ceRNA analyses, with specialized single-cell modules supporting quantification, clustering, trajectory reconstruction, and cell-state annotation. Featuring a user-friendly interface and integrative analytical utilities, LncACTdb 4.0 enables investigation of ceRNA regulatory mechanisms ranging from tissue architecture to cellular resolution and facilitates biomarker mining for precision oncology research.