基于本体学的建模,整合和分析异质的临床,病理和分子脏数据,用于精密医学
bioRxiv : the preprint server for biology
|April 15, 2024
概括
实体学组织脏数据用于精准医学. 这项工作增强了人体现象本体学,并为脏生物标志物和元数据开发了新的本体学,使脏疾病状态的综合分析成为可能.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學專業.
- 生物信息学是一种生物信息学.
- 基因组学就是基因组学.
背景情况:
- 增加各种脏相关数据 (分子,病理,临床) 的可用性.
- 需要标准化数据组织和整合,以推进精准医学.
- 现有的实体学可以用于脏数据管理.
研究的目的:
- 开发和应用基于本体学的方法来组织和整合多域数据.
- 用脏特定的术语来增强人类现象型本体学 (HPO).
- 为脏生物标志物和精准医学元数据创建新的本体学.
主要方法:
- 对HPO的贡献包括329个表型术语,包括急性损伤 (AKI) 和慢性病 (CKD) 的子类别.
- 开发脏组织天文图谱 (KTAO),整合259个与脏相关的生物标志物.
- 创建一个精确的药物元数据本体 (PMMO) 集成KPMP和CellxGene数据.
- 在健康和疾病状态下分析脏生物标志物的基因表达特征.
主要成果:
- 成功扩展HPO与详细的脏表型信息.
- 建立了KTAO和PMMO,以全面整合脏数据.
- 使用PMMO证明了基因表达数据的成功整合分析.
- 鉴定了AKI/CKD与健康状态中的脏生物标志物的独特基因表达模式.
结论:
- 基于本体学的策略对于组织和整合复杂的多域数据是有效的.
- 这项工作为通过增强数据可访问性和分析来推进脏精确医学提供了基础.
- 开发的本体学有助于知识的发现和数据驱动的研究在科.
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