Institute of Computing Technology, Chinese Academy IR
| NONCODE v7.0: updated lncRNA resource integrating scRNA-seq data encompassing immune baseline, development, and disease | |
| Liu, Hongjie1,2,3; Yang, Yongsan4; Le, Xin5; Gao, Kai6; Liu, Jingjia5; Fan, Youfen5; Zeng, Xiaoxi4; Chen, Runsheng3,7; Zheng, Jianjun1; Zhao, Yi2,3 | |
| 2025-11-20 | |
| 发表期刊 | NUCLEIC ACIDS RESEARCH
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| ISSN | 0305-1048 |
| 页码 | 8 |
| 摘要 | The rapid advancement of single-cell multi-omics technologies, typified by single-cell RNA sequencing (scRNA-seq), has provided systematic methodologies for dissecting gene expression heterogeneity within cell populations. However, long noncoding RNAs (lncRNAs) research is hindered by a lack of databases covering diverse tissues, disease contexts, and integrated multi-dimensional single-cell annotations. To address this gap, we updated NONCODE v7.0 (available at https://v7.noncode.org/) through the integration of scRNA-seq data, enabling systematic analysis of lncRNA expression. NONCODE v7.0 incorporates 2061 human scRNA-seq samples from 229 datasets, covering a spectrum of 6 categories, with 3 core ones including Physiological Control as an immune baseline, Physiological Development, and Pathological Disease. Following standardized quality control and processing, the database encompasses 14 million high-quality cells and annotates 94 843 lncRNAs (98.5% of human lncRNAs in NONCODE v6.0). Furthermore, we extended the database through the integration of single-cell-tailored functional modules, encompassing data query and retrieval, interactive visualization (including cell composition, UMAP/t-SNE clustering, marker gene heatmaps, and lncRNA expression profiles), and comparative analysis functionalities. The analytical module facilitates the identification of cell-type-specific differentially expressed (DE) lncRNAs across distinct disease states, thus establishing a foundational resource platform to facilitate the advancement of downstream functional investigations into lncRNAs. |
| DOI | 10.1093/nar/gkaf1132 |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS研究方向 | Biochemistry & Molecular Biology |
| WOS类目 | Biochemistry & Molecular Biology |
| WOS记录号 | WOS:001618167300001 |
| 出版者 | OXFORD UNIV PRESS |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://119.78.100.204/handle/2XEOYT63/43062 |
| 专题 | 中国科学院计算技术研究所 |
| 通讯作者 | Chen, Runsheng; Zheng, Jianjun; Zhao, Yi |
| 作者单位 | 1.Ningbo 2 Hosp, Dept Radiol, 41 Xibei Str, Ningbo 315010, Zhejiang, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Sichuan Univ, West China Hosp, West China Biomed Big Data Ctr, Chengdu 610041, Sichuan, Peoples R China 5.Ningbo 2 Hosp, Dept Burn, 41 Northwest St, Ningbo 315010, Zhejiang, Peoples R China 6.Ningbo 2 Hosp, Dept Resp & Crit Care Med, Ningbo 315010, Zhejiang, Peoples R China 7.Chinese Acad Sci, Inst Biophys, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Hongjie,Yang, Yongsan,Le, Xin,et al. NONCODE v7.0: updated lncRNA resource integrating scRNA-seq data encompassing immune baseline, development, and disease[J]. NUCLEIC ACIDS RESEARCH,2025:8. |
| APA | Liu, Hongjie.,Yang, Yongsan.,Le, Xin.,Gao, Kai.,Liu, Jingjia.,...&Zhao, Yi.(2025).NONCODE v7.0: updated lncRNA resource integrating scRNA-seq data encompassing immune baseline, development, and disease.NUCLEIC ACIDS RESEARCH,8. |
| MLA | Liu, Hongjie,et al."NONCODE v7.0: updated lncRNA resource integrating scRNA-seq data encompassing immune baseline, development, and disease".NUCLEIC ACIDS RESEARCH (2025):8. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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