Huang Lab, Contact @ Dr. Huang: slhuang@fudan.edu.cn
Fudan University Shanghai Cancer Center & Institutes of Biomedical Sciences
Shanghai Medical College, Fudan University
270 Dong An Rd., Shanghai 200032, CHINA

A repository of extracellular vesicles (EVPs) messenger RNA (mRNA), long non-coding RNA (lncRNA), and circular RNA (circRNA) from human biofluids. (release 2.0)
A database of circRNA, IncRNA and mRNA in human blood exosomes. (release 1.0)

Citations:
Hongyan Lai, Yuchen Li, Hena Zhang, Jia Hu, Jiatao Liao, Ying Su, Qin Li, Bing Chen, Caiping Li, Zhen Wang, Yan Li, Jialei Wang, Zhiqiang Meng, Zhaohui Huang, and Shenglin Huang. exoRBase 2.0: an atlas of mRNA, lncRNA and circRNA in extracellular vesicles from human biofluids , Nucleic Acids Research, 2021; doi: 10.1093/nar/gkab1085.
Shengli Li, Yuchen Li, Bing Chen, Jingjing Zhao, Shulin Yu, Yan Tang, Qiupeng Zheng, Yan Li, Peng Wang, Xianghuo He, Shenglin Huang. exoRBase: a database of circRNA, lncRNA and mRNA in human blood exosomes ,Nucleic Acids Research, 2018;46(D1):D106-D112.

To continuously improve and expand exoRBase 3.0, we actively encourage researchers to submit high-quality EVPs RNA-seq data or cell-free RNA-seq data to this database. We specifically accept EVPs or cell-free RNA samples collected from human normal, benign, or cancerous biofluids, including but not limited to blood, plasma, serum, cerebrospinal fluid, urine, and other clinically relevant body fluids.

Researchers interested in contributing data can contact us at slhuang@fudan.edu.cn and should provide the following essential information: (1) biofluid type and collection methodology, (2) cohort type and clinical characteristics (including sample size, demographic information, and disease status), (3) PubMed ID of associated publications (if available), (4) data accession number from public repositories (such as GEO, SRA, or ENA), (5) detailed experimental protocols and sequencing parameters, and (6) processed exLR expression profiles or raw exLR-seq data with appropriate quality control metrics.

All submitted data will undergo rigorous quality assessment and standardization procedures before integration into the database. Contributors will be appropriately acknowledged, and their datasets will enhance the comprehensiveness and utility of exoRBase 3.0 for the broader research community. This collaborative approach ensures that exoRBase 3.0 remains a cutting-edge resource that reflects the latest advances in extracellular RNA research and supports diverse biomedical applications