Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

exoRBase

General information

URL: http://www.exoRBase.org
Full name: mRNA, lncRNA and circRNA in extracellular vesicles
Description: exoRBase is a repository of extracellular vesicles (EVs) long RNAs (exLRs) derived from RNA-seq data analyses in different human body fluids. exoRBase 2.0 houses 19,643 mRNAs, 15,645 lncRNAs and 79,084 circRNAs obtained from ∼1000 human blood, urine, cerebrospinal fluid (CSF) and bile samples.
Year founded: 2018
Last update: 2021-11
Version: v2.0
Accessibility:
Accessible
Country/Region: China

Classification & Tag

Data type:
RNA
Data object:
Database category:
Major species:
Keywords:

Contact information

University/Institution: Fudan University
Address: Shanghai Medical College, Fudan University, Shanghai 200032, China
City: Shanghai
Province/State: Shanghai
Country/Region: China
Contact name (PI/Team): Shenglin Huang
Contact email (PI/Helpdesk): slhuang@fudan.edu.cn

Publications

34918744
exoRBase 2.0: an atlas of mRNA, lncRNA and circRNA in extracellular vesicles from human biofluids. [PMID: 34918744]
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, Shenglin Huang

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.

Nucleic Acids Res. 2022:50(D1) | 145 Citations (from Europe PMC, 2025-12-20)
30053265
exoRBase: a database of circRNA, lncRNA and mRNA in human blood exosomes. [PMID: 30053265]
Li S, Li Y, Chen B, Zhao J, Yu S, Tang Y, Zheng Q, Li Y, Wang P, He X, Huang S.

Exosomes, which are nanosized endocytic vesicles that are secreted by most cells, contain an abundant cargo of different RNA species that can modulate the behavior of recipient cells and may be used as circulating biomarkers for diseases. Here, we develop a web-accessible database (http://www.exoRBase.org), exoRBase, which is a repository of circular RNA (circRNA), long non-coding RNA (lncRNA) and messenger RNA (mRNA) derived from RNA-seq data analyses of human blood exosomes. Experimental validations from the published literature are also included. exoRBase features the integration and visualization of RNA expression profiles based on normalized RNA-seq data spanning both normal individuals and patients with different diseases. exoRBase aims to collect and characterize all long RNA species in human blood exosomes. The first release of exoRBase contains 58 330 circRNAs, 15 501 lncRNAs and 18 333 mRNAs. The annotation, expression level and possible original tissues are provided. exoRBase will aid researchers in identifying molecular signatures in blood exosomes and will trigger new exosomal biomarker discovery and functional implication for human diseases.

Nucleic Acids Res. 2018:46(D1) | 391 Citations (from Europe PMC, 2025-12-20)

Ranking

All databases:
233/6895 (96.635%)
Genotype phenotype and variation:
35/1005 (96.617%)
Expression:
36/1347 (97.402%)
233
Total Rank
507
Citations
72.429
z-index

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Record metadata

Created on: 2019-10-27
Curated by:
Xinyu Zhou [2023-09-19]
Xinyu Zhou [2023-09-14]
Lina Ma [2023-03-02]
Lina Ma [2023-02-16]
Pei Liu [2022-04-21]
Tianyi Xu [2021-09-24]
Shoaib Saleem [2019-11-25]
Amjad Ali [2019-10-27]