构建和使用人类参考地图的细胞类型群体
Andreas Bueckle1, Bruce W Herr1, Lu Chen2
1Department of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, 47408, USA.
bioRxiv : the preprint server for biology
|September 2, 2025
概括
人类细胞类型人口参考图谱 (HRApop) 量化了人体细胞类型的解剖结构. 这种资源可以预测3D体积和组织起源的细胞群.
科学领域:
- 人体解剖学
- 细胞生物学
- 生物信息学
背景情况:
- 人体由数以万亿计的细胞组成,
- 现有的地图集在特定解剖学上提供了有限的定量细胞类型人口数据.
- 需要可扩展和可复制的方法来绘制人体内的细胞类型.
研究的目的:
- 在解剖结构中开发人类细胞类型群体的定量3D框架.
- 创建人类参考图谱细胞类型人口 (HRApop) 数据集.
- 能够预测3D体积和组织起源的细胞类型分布.
主要方法:
- 使用高质量的单细胞 (sc) 转录组和蛋白组数据.
- 使用Azimuth,CellTypist和popV进行细胞类型注释 (CTann) 的可扩展和可重复的工作流程.
- 整合了662个sc-transcriptomics和104个sc-proteomics数据集,总计超过2700万个细胞.
- 在17个器官的230个位置进行空间登记.
主要成果:
- HRApop v1.0提供了73个解剖结构 (112个性别特异) 的基准细胞类型群.
- 来自转录组数据的1100多万个细胞的量化细胞类型和生物标志物表达.
- 综合蛋白质组学数据证明了注释方法的通用性.
- HRApop数据集包括总共27,619,613个单元.
结论:
- HRApop提供了人类细胞类型群体的定量3D地图.
- 这种资源有助于预测人体内的细胞分布.
- 通过HRApop,可以根据细胞群确定组织样本的空间来源.
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