scImmOmics:一个人工整理的单细胞多组学免疫数据资源。
scImmOmics: a manually curated resource of single-cell multi-omics immune data.
作者信息
Li Yan-Yu, Zhou Li-Wei, Qian Feng-Cui, Fang Qiao-Li, Yu Zheng-Min, Cui Ting, Dong Fu-Juan, Cai Fu-Hong, Yu Ting-Ting, Li Li-Dong, Wang Qiu-Yu, Zhu Yan-Bing, Tang Hui-Fang, Hu Bao-Yang, Li Chun-Quan
机构信息
The First Affiliated Hospital & National Health Commission Key Laboratory of Birth Defect Research and Prevention, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China.
Hunan Provincial Key Laboratory of Multi-omics and Artificial Intelligence of Cardiovascular Diseases, University of South China, Hengyang, Hunan 421001, China.
出版信息
Nucleic Acids Res. 2025 Jan 6;53(D1):D1162-D1172. doi: 10.1093/nar/gkae985.
Single-cell sequencing technology has enabled the discovery and characterization of subpopulations of immune cells with unique functions, which is critical for revealing immune responses under healthy or disease conditions. Efforts have been made to collect and curate single-cell RNA sequencing (scRNA-seq) data, yet an immune-specific single-cell multi-omics atlas with harmonized metadata is still lacking. Here, we present scImmOmics (https://bio.liclab.net/scImmOmics/home), a manually curated single-cell multi-omics immune database constructed based on high-quality immune cells with known immune cell labels. Currently, scImmOmics documents >2.9 million cell-type labeled immune cells derived from seven single-cell sequencing technologies, involving 131 immune cell types, 47 tissues and 4 species. To ensure data consistency, we standardized the nomenclature of immune cell types and presented them in a hierarchical tree structure to clearly describe the lineage relationships within the immune system. scImmOmics also provides comprehensive immune regulatory information, including T-cell/B-cell receptor sequencing clonotype information, cell-specific regulatory information (e.g. gene/chromatin accessibility/protein/transcription factor states within known cell types, cell-to-cell communication and co-expression networks) and immune cell responses to cytokines. Collectively, scImmOmics is a comprehensive and valuable platform for unraveling the heterogeneity and diversity of immune cells and elucidating the specific regulatory mechanisms at the single-cell level.
单细胞测序技术能够发现和表征具有独特功能的免疫细胞亚群,这对于揭示健康或疾病状态下的免疫反应至关重要。人们已努力收集和整理单细胞RNA测序(scRNA-seq)数据,但仍缺乏一个具有统一元数据的免疫特异性单细胞多组学图谱。在此,我们展示了scImmOmics(https://bio.liclab.net/scImmOmics/home),这是一个基于具有已知免疫细胞标签的高质量免疫细胞构建的人工整理的单细胞多组学免疫数据库。目前,scImmOmics记录了来自七种单细胞测序技术的超过290万个细胞类型标记的免疫细胞,涉及131种免疫细胞类型、47个组织和4个物种。为确保数据一致性,我们对免疫细胞类型的命名进行了标准化,并以层次树结构呈现,以清晰描述免疫系统内的谱系关系。scImmOmics还提供全面的免疫调节信息,包括T细胞/B细胞受体测序克隆型信息、细胞特异性调节信息(例如已知细胞类型内的基因/染色质可及性/蛋白质/转录因子状态、细胞间通讯和共表达网络)以及免疫细胞对细胞因子的反应。总体而言,scImmOmics是一个全面且有价值的平台,用于揭示免疫细胞的异质性和多样性,并阐明单细胞水平的特定调节机制。
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