exRNA Atlas Analysis Reveals Distinct Extracellular RNA Cargo Types and Their Carriers Present across Human Biofluids
exRNA Atlas Analysis Reveals Distinct Extracellular RNA Cargo Types and Their Carriers Present across Human Biofluids
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exRNA图谱分析揭示了不同的细胞外RNA货物类型及其载体存在于人类生物流体中
DOI：
10.1016/j.cell.2019.02.018
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发表时间：
2019-04-04
期刊：
影响因子：
64.5
通讯作者：
Milosavljevic, Aleksandar
中科院分区：
文献类型：
--
作者：
Murillo, Oscar D.;Thistlethwaite, William;Milosavljevic, Aleksandar
为了开发由细胞外RNA（exRNA）介导的细胞间通讯的图谱，NIH细胞外RNA通讯联盟创建了exRNA图谱资源（https：exrna-atlas.org）。Atlas版本4P 1包含来自19项研究的5，309个exRNA-seq和exRNA qPCR图谱以及一套分析和可视化工具。为了分析轮廓之间的变化，我们应用计算反卷积。该分析产生了具有六种exRNA货物类型（CT 1、CT 2、CT 3A、CT 3B、CT 3C、CT 4）的模型，每种在多种生物流体（血清、血浆、CSF、唾液、尿液）中可检测。五种货物类型与已知的囊泡和非囊泡（脂蛋白和核糖核蛋白）exRNA载体。为了验证该模型的实用性，我们通过去卷积重新分析运动反应研究，以识别之前未检测到的生理相关反应途径。为了使该模型能够广泛应用，作为exRNA Atlas资源的一部分，我们提供了对用户提供的病例对照研究进行解卷积和分析的工具。
To develop a map of cell-cell communication mediated by extracellular RNA (exRNA), the NIH Extracellular RNA Communication Consortium created the exRNA Atlas resource (https://exrna-atlas.org). The Atlas version 4P1 hosts 5,309 exRNA-seq and exRNA qPCR profiles from 19 studies and a suite of analysis and visualization tools. To analyze variation between profiles, we apply computational deconvolution. The analysis leads to a model with six exRNA cargo types (CT1, CT2, CT3A, CT3B, CT3C, CT4), each detectable in multiple biofluids (serum, plasma, CSF, saliva, urine). Five of the cargo types associate with known vesicular and non-vesicular (lipoprotein and ribonucleoprotein) exRNA carriers. To validate utility of this model, we re-analyze an exercise response study by deconvolution to identify physiologically relevant response pathways that were not detected previously. To enable wide application of this model, as part of the exRNA Atlas resource, we provide tools for deconvolution and analysis of user-provided case-control studies.