Journal
NUCLEIC ACIDS RESEARCH
Volume 50, Issue D1, Pages D118-D128Publisher
OXFORD UNIV PRESS
DOI: 10.1093/nar/gkab1085
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Funding
- Shanghai Science and Technology Innovation Action Plan [20JC1419000]
- Shanghai Municipal Health Commission [2020CXJQ02]
- National Natural Science Foundation of China [81872294, 82072694, 82173063]
- Natural Science Foundation of Fujian Province of China [2019J01170]
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Extracellular vesicles contain diverse RNA species with specialized functions, and exoRBase 2.0 is an updated database that stores EV long RNAs derived from various human body fluids. This database not only integrates and compares exLR expression profiles, but also visualizes functional changes and origins of circulating EVs in different physiological and pathological conditions.
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 similar to 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.
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