结核病基因签名的交叉研究可复制性的分析,使用49个精选的人类转录组数据集
Xutao Wang1, Katie Harper2, Pranay Sinha3
1Department of Biostatistics, Boston University School of Public Health, Boston, USA.
Tuberculosis (Edinburgh, Scotland)
|May 13, 2025
概括
一个新的数据库,策划TBData,有助于验证结核病 (TB) 基因表达特征. 本资源有助于评估结核病的诊断工具,提高跨患者群体的概括性.
科学领域:
- 基因组学就是基因组学.
- 传染性疾病 传染性疾病
- 生物信息学是一种生物信息学.
背景情况:
- 结核病 (TB) 仍然是全球主要的传染病死亡原因.
- 基于宿主血液的基因表达特征被探索用于结核病诊断.
- 目前的TB签名的有限通用性需要更好的验证工具.
研究的目的:
- 创建一个手动策划的人类结核病转录基因研究的数据库.
- 为系统评估和验证结核病基因签名提供资源.
- 促进开发更具普遍性的结核病诊断生物标志物.
主要方法:
- 从49个人类结核病转录组学研究中编制和策划的数据.
- 开发了精选的TBData资源,作为一个免费可用的GitHub存储库和R Bioconductor包.
- 进行了72个人类宿主血液基结核病基因特征的交叉研究比较.
主要成果:
- 19个基因签名实现了活跃结核病与健康对照的加权平均AUC为0.90或更高.
- 7个基因签名实现了活跃结核病与潜伏结核病感染的加权平均AUC为0.90或更高.
- 精心策划的TBData资源可以在没有复杂数据协调的情况下验证生物标志物.
结论:
- curatedTBData是对结核病进行策划,临床注释的人类血液基因表达数据的全面资源.
- 这一资源将加速开发强大的结核病基因特征.
- 该数据库支持创建适用于不同患者队列或特定患者子集的签名.
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