ScImmOmics: a manually curated resource of single-cell multi-omics immune data

被引:29
作者
Li, Yan-Yu [1 ,2 ,3 ,4 ,5 ,6 ,7 ,8 ]
Zhou, Li-Wei
Qian, Feng-Cui [1 ,2 ,3 ,4 ,7 ]
Fang, Qiao-Li [6 ]
Yu, Zheng-Min [6 ]
Cui, Ting [7 ]
Dong, Fu-Juan [6 ]
Cai, Fu-Hong [6 ]
Yu, Ting-Ting [6 ]
Li, Li-Dong
Wang, Qiu-Yu [1 ,2 ,3 ,4 ,7 ]
Zhu, Yan-Bing [10 ]
Tang, Hui-Fang [1 ,2 ,3 ,5 ,8 ]
Hu, Bao-Yang [9 ]
Li, Chun-Quan [1 ,2 ,3 ,4 ,5 ,6 ,7 ,8 ]
机构
[1] Univ South China, Affiliated Hosp 1, Hengyang Med Sch, Hengyang 421001, Hunan, Peoples R China
[2] Univ South China, Hengyang Med Sch, Key Lab Birth Defect Res & Prevent, Natl Hlth Commiss, Hengyang 421001, Hunan, Peoples R China
[3] Univ South China, Hunan Prov Key Lab Multiom & Artificial Intelligen, Hengyang 421001, Hunan, Peoples R China
[4] Univ South China, Key Lab Rare Pediat Dis, Minist Educ, Hengyang 421001, Hunan, Peoples R China
[5] Univ South China, Affiliated Hosp 1, Inst Cardiovasc Dis, Hengyang Med Sch, Hengyang 421001, Hunan, Peoples R China
[6] Univ South China, Sch Comp, Hengyang 421001, Hunan, Peoples R China
[7] Univ South China, Hengyang Med Coll, Insititute Biochem & Mol Biol, Hengyang 421001, Hunan, Peoples R China
[8] Clin Res Ctr Myocardial Injury Hunan Prov, Hengyang 421001, Hunan, Peoples R China
[9] Chinese Acad Sci, Inst Zool, State Key Lab Stem Cell & Reprod Biol, Beijing 100101, Peoples R China
[10] Capital Med Univ, Beijing Friendship Hosp, Beijing Clin Res Inst, Beijing 100050, Peoples R China
基金
中国国家自然科学基金;
关键词
DENDRITIC CELLS; ACTIVATION; EXPRESSION; MONOCYTE; MARKER; LANDSCAPE; DYNAMICS; FAMILY; CD69;
D O I
10.1093/nar/gkae985
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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. [GRAPHICS]
引用
收藏
页码:D1162 / D1172
页数:11
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