生物
计算生物学
转录组
免疫系统
注释
预处理器
基因表达谱
仿形(计算机编程)
UniProt公司
外周血单个核细胞
蛋白质组
剧目
参考数据库
蛋白质基因组学
生物信息学
RNA序列
数据库
电池类型
基因
数据集成
主要组织相容性复合体
基因注释
小桶
序列数据库
基因组学
细胞
人类白细胞抗原
DNA测序
作者
Emma S Hoffmann,Lara Hombrecher,Ian F Diks,Matthias Flotho,Pascal Hirsch,Andreas Keller,Friederike Grandke
摘要
Abstract Single-cell transcriptomic studies of peripheral blood mononuclear cells (PBMCs) offer valuable insights into immune states across diverse biological conditions, yet cross-study integration remains difficult due to divergent preprocessing and annotations. PBMCpedia addresses this by uniformly reprocessing 519 samples (over 4.3 million cells) from 24 publicly available single-cell RNA sequencing studies using a standardized pipeline with consistent quality control and hierarchical cell type annotation. Spanning 14 disease contexts, including autoimmune, infectious, and neurodegenerative disorders, as well as healthy controls, PBMCpedia supports metadata-aware comparisons across diseases, cell types, sexes, and age groups. It also includes T-cell receptor/B-cell receptor repertoire data for 75 samples and surface protein measurements for 56 samples, enabling integrative immune profiling at both the transcriptomic and proteogenomic levels. To support exploration and accessibility, we provide an interactive web interface (https://web.ccb.uni-saarland.de/pbmcpedia/) for querying gene expression, marker genes, and pathway enrichment across cell types, conditions, sexes, and age groups. PBMCpedia fills a critical gap by offering a transparent, harmonized, and disease-diverse PBMC resource designed for cross-study immune profiling and discovery.
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