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绘制人类生物体液 RNA 图谱中的细胞外转录组。

Charting Extracellular Transcriptomes in The Human Biofluid RNA Atlas.

机构信息

Center for Medical Genetics, Department of Biomolecular Medicine, Ghent University, C. Heymanslaan 10, 9000 Ghent, Belgium; OncoRNALab, Cancer Research Institute Ghent (CRIG), Ghent University, C. Heymanslaan 10, 9000 Ghent, Belgium; Department of Dermatology, Ghent University Hospital, C. Heymanslaan 10, 9000 Ghent, Belgium.

Center for Medical Genetics, Department of Biomolecular Medicine, Ghent University, C. Heymanslaan 10, 9000 Ghent, Belgium; OncoRNALab, Cancer Research Institute Ghent (CRIG), Ghent University, C. Heymanslaan 10, 9000 Ghent, Belgium.

出版信息

Cell Rep. 2020 Dec 29;33(13):108552. doi: 10.1016/j.celrep.2020.108552.

Abstract

Extracellular RNAs present in biofluids have emerged as potential biomarkers for disease. Where most studies focus on blood-derived fluids, other biofluids may be more informative. We present an atlas of messenger, circular, and small RNA transcriptomes of a comprehensive collection of 20 human biofluids. By means of synthetic spike-in controls, we compare RNA content across biofluids, revealing a 10,000-fold difference in concentration. The circular RNA fraction is increased in most biofluids compared to tissues. Each biofluid transcriptome is enriched for RNA molecules derived from specific tissues and cell types. Our atlas enables an informed selection of the most relevant biofluid to monitor particular diseases. To verify the biomarker potential in these biofluids, four validation cohorts representing a broad spectrum of diseases were profiled, revealing numerous differential RNAs between case and control subjects. Spike-normalized data are publicly available in the R2 web portal for further exploration.

摘要

细胞外 RNA 存在于生物体液中,已成为疾病的潜在生物标志物。虽然大多数研究都集中在血液来源的液体上,但其他生物液体可能更具信息量。我们展示了一个综合的 20 种人体生物液体信使 RNA、环状 RNA 和小 RNA 转录组图谱。通过合成的 Spike-in 对照,我们比较了不同生物液体中的 RNA 含量,发现浓度差异高达 10000 倍。与组织相比,大多数生物液体中的环状 RNA 丰度增加。每种生物液体转录组都富含特定组织和细胞类型来源的 RNA 分子。我们的图谱使人们能够明智地选择最相关的生物液体来监测特定的疾病。为了验证这些生物液体中的生物标志物潜力,我们对四个代表广泛疾病谱的验证队列进行了分析,发现病例组和对照组之间存在大量差异 RNA。 Spike 归一化数据可在 R2 网络门户中公开获取,以进行进一步探索。

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