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

IF 16.6 2区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Nucleic Acids Research Pub Date : 2024-11-04 DOI:10.1093/nar/gkae985
Yan-Yu Li, Li-Wei Zhou, Feng-Cui Qian, Qiao-Li Fang, Zheng-Min Yu, Ting Cui, Fu-Juan Dong, Fu-Hong Cai, Ting-Ting Yu, Li-Dong Li, Qiu-Yu Wang, Yan-Bing Zhu, Hui-Fang Tang, Bao-Yang Hu, Chun-Quan Li
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Abstract

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.

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scImmOmics:人工编辑的单细胞多组学免疫数据资源。
单细胞测序技术有助于发现和描述具有独特功能的免疫细胞亚群,这对于揭示健康或疾病条件下的免疫反应至关重要。人们一直在努力收集和整理单细胞 RNA 测序(scRNA-seq)数据,但目前仍缺乏具有统一元数据的免疫特异性单细胞多组学图谱。在这里,我们介绍了 scImmOmics (https://bio.liclab.net/scImmOmics/home),这是一个人工编辑的单细胞多组学免疫数据库,它是基于已知免疫细胞标签的高质量免疫细胞构建的。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 种组织和 4 个物种。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、细胞特异性调控信息(如已知细胞类型中的基因/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。总之,scImmOmics 是一个全面而有价值的平台,可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控机制。
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来源期刊
Nucleic Acids Research
Nucleic Acids Research 生物-生化与分子生物学
CiteScore
27.10
自引率
4.70%
发文量
1057
审稿时长
2 months
期刊介绍: Nucleic Acids Research (NAR) is a scientific journal that publishes research on various aspects of nucleic acids and proteins involved in nucleic acid metabolism and interactions. It covers areas such as chemistry and synthetic biology, computational biology, gene regulation, chromatin and epigenetics, genome integrity, repair and replication, genomics, molecular biology, nucleic acid enzymes, RNA, and structural biology. The journal also includes a Survey and Summary section for brief reviews. Additionally, each year, the first issue is dedicated to biological databases, and an issue in July focuses on web-based software resources for the biological community. Nucleic Acids Research is indexed by several services including Abstracts on Hygiene and Communicable Diseases, Animal Breeding Abstracts, Agricultural Engineering Abstracts, Agbiotech News and Information, BIOSIS Previews, CAB Abstracts, and EMBASE.
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