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exoRBase 2.0:人类生物体液外泌体中 mRNA、lncRNA 和 circRNA 的图谱。

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

机构信息

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.

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

出版信息

Nucleic Acids Res. 2022 Jan 7;50(D1):D118-D128. doi: 10.1093/nar/gkab1085.

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.

摘要

细胞外囊泡(EVs)是含有丰富不同 RNA 种类的小膜囊泡,具有特殊功能和临床意义。在这里,我们介绍一个更新的在线数据库(http://www.exoRBase.org),exoRBase 2.0,它是一个从不同人体体液的 RNA-seq 数据分析中衍生的 EV 长 RNA(称为 exLRs)的存储库。在 exoRBase 2.0 中,exLRs 的数量增加到 19643 个信使 RNA(mRNA)、15645 个长非编码 RNA(lncRNA)和 79084 个环状 RNA(circRNA),这些数据来自于约 1000 个人的血液、尿液、脑脊液(CSF)和胆汁样本。重要的是,exoRBase 2.0 不仅集成和比较了 exLR 表达谱,还可视化了不同生理和病理条件下循环 EV 起源的通路水平功能变化和异质性。我们的数据库为从人体生物液中鉴定新型 exLR 特征提供了一个有吸引力的平台,这将有助于发现新的循环生物标志物,以改善疾病的诊断和治疗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e49/8728150/a5c71b890d63/gkab1085fig1.jpg

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