SenSASP：一个统一的、多层衰老与SASP基因数据库

中文摘要 AI 辅助

关于细胞衰老和衰老相关分泌表型（SASP）的研究依赖于独立管理的基因资源，这些资源在范围、标识符和更新周期上各不相同，导致跨资源整合容易出错。我们将四个广泛使用的资源——CellAge、GenAge、SenMayo签名和Reactome细胞衰老通路——统一到单一规范标识符（Ensembl基因ID）上，并为每个基因补充了四个输入资源均缺失的三层注释：跨物种保守性、组织和细胞类型表达，以及高置信度蛋白质-蛋白质相互作用。统一过程将总计1,460个来源条目合并为1,250个独特基因（去除210个冗余条目，占14.4%），同时保留完整的来源溯源：173个基因得到两个或更多资源的证实，两个基因（IL6、JUN）得到全部四个资源的证实。三层注释分别覆盖95.8%、97.9%和93.0%的基因，其中89.4%的基因在所有三层均有注释。对500个基因的标识符映射随机样本进行了针对HGNC和Ensembl的验证（98.0%精确匹配）。结果SenSASP是一个单一的、机器可读的、具有溯源追踪的数据库，包含协调一致的标识符和全新的功能背景，本文通过基因优先级评分和组织表达图谱进行了展示。SenSASP可在以下网址免费获取：此https URL

英文摘要

Research on cellular senescence and the senescence-associated secretory phenotype (SASP) draws on independently curated gene resources that differ in scope, identifiers, and update cycles, making cross-resource integration error-prone. We unified four widely used resources, CellAge, GenAge, the SenMayo signature, and the Reactome Cellular Senescence pathway, onto a single canonical identifier (the Ensembl gene ID) and enriched every gene with three annotation layers absent from all four inputs: cross-species conservation, tissue and cell-type expression, and high-confidence protein-protein interactions. Unification collapsed 1,460 summed source entries into 1,250 unique genes (210 redundant entries removed, 14.4%) while preserving full source provenance: 173 genes are corroborated by two or more resources and two (IL6, JUN) by all four. The three annotation layers reach 95.8%, 97.9%, and 93.0% of genes, with 89.4% annotated across all three. A 500-gene random sample of identifier mappings was validated against HGNC and Ensembl (98.0% exact match). The result, SenSASP, is a single, machine-readable, provenance-tracked database of harmonized identifiers and net-new functional context, illustrated here with a gene-prioritization score and a tissue-expression atlas. SenSASP is freely available at https://xuan13hao.github.io/sensasp/

发表机构

• Indiana University School of Medicine（印第安纳大学医学院）
• Regenstrief Institute（雷根施特里夫研究所）
• Indiana University Health（印第安纳大学健康）

机构由 AI 辅助整理，请以论文原文为准。