exoRBase 2.0: an atlas of mRNA, lncRNA and circRNA in extracellular vesicles from human biofluids

Author:

Lai Hongyan12,Li Yuchen12,Zhang Hena12,Hu Jia12,Liao Jiatao32,Su Ying12,Li Qin12,Chen Bing12,Li Caiping4,Wang Zhen12,Li Yan12,Wang Jialei32,Meng Zhiqiang12,Huang Zhaohui5,Huang Shenglin12ORCID

Affiliation:

1. Department of Integrative Oncology, Fudan University Shanghai Cancer Center, and Shanghai Key Laboratory of Medical Epigenetics, International Co-laboratory of Medical Epigenetics and Metabolism (Ministry of Science and Technology), Institutes of Biomedical Sciences, Fudan University, Shanghai, China

2. Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China

3. Department of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China

4. Department of Gastroenterology, Second Affiliated Hospital of Fujian Medical University, Quanzhou, China

5. Wuxi Cancer Institute, Affiliated Hospital of Jiangnan University, Wuxi, China

Abstract

Abstract Extracellular vesicles (EVs) are small membranous vesicles that contain an abundant cargo of different RNA species with specialized functions and clinical implications. Here, we introduce an updated online database (http://www.exoRBase.org), exoRBase 2.0, which is a repository of EV long RNAs (termed exLRs) derived from RNA-seq data analyses of diverse human body fluids. In exoRBase 2.0, the number of exLRs has increased to 19 643 messenger RNAs (mRNAs), 15 645 long non-coding RNAs (lncRNAs) and 79 084 circular RNAs (circRNAs) obtained from ∼1000 human blood, urine, cerebrospinal fluid (CSF) and bile samples. Importantly, exoRBase 2.0 not only integrates and compares exLR expression profiles but also visualizes the pathway-level functional changes and the heterogeneity of origins of circulating EVs in the context of different physiological and pathological conditions. Our database provides an attractive platform for the identification of novel exLR signatures from human biofluids that will aid in the discovery of new circulating biomarkers to improve disease diagnosis and therapy.

Funder

Shanghai Science and Technology Innovation Action Plan

Shanghai Municipal Health Commission

National Natural Science Foundation of China

Natural Science Foundation of Fujian Province

Publisher

Oxford University Press (OUP)

Subject

Genetics

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