| Literature DB >> 34918744 |
Hongyan Lai1,2, Yuchen Li1,2, Hena Zhang1,2, Jia Hu1,2, Jiatao Liao3,2, Ying Su1,2, Qin Li1,2, Bing Chen1,2, Caiping Li4, Zhen Wang1,2, Yan Li1,2, Jialei Wang3,2, Zhiqiang Meng1,2, Zhaohui Huang5, Shenglin Huang1,2.
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.Entities:
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Year: 2022 PMID： 34918744 PMCID： PMC8728150 DOI： 10.1093/nar/gkab1085
Source DB: PubMed Journal: Nucleic Acids Res ISSN： 0305-1048 Impact factor: 16.971