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通过改良的小 RNA 测序分析检测循环细胞外 mRNA。

Detection of circulating extracellular mRNAs by modified small-RNA-sequencing analysis.

机构信息

Laboratory of RNA Molecular Biology and.

Center for Translational Science, The Rockefeller University, New York, New York, USA.

出版信息

JCI Insight. 2019 Apr 11;5(9):127317. doi: 10.1172/jci.insight.127317.

Abstract

Extracellular mRNAs (ex-mRNAs) potentially supersede extracellular miRNAs (ex-miRNAs) and other RNA classes as biomarkers. We performed conventional small-RNA-sequencing (sRNA-seq) and sRNA-seq with T4 polynucleotide kinase (PNK) end-treatment of total exRNA isolated from serum and platelet-poor EDTA, ACD, and heparin plasma to study the effect on ex-mRNA capture. Compared to conventional sRNA-seq PNK-treatment increased the detection of informative ex-mRNAs reads up to 50-fold. The exRNA pool was dominated by hematopoietic cells and platelets, with additional contribution from the liver. About 60% of the 15- to 42-nt reads originated from the coding sequences, in a pattern reminiscent of ribosome-profiling. Blood sample type had a considerable influence on the exRNA profile. On average approximately 350 to 1,100 distinct ex-mRNA transcripts were detected depending on plasma type. In serum, additional transcripts from neutrophils and hematopoietic cells increased this number to near 2,300. EDTA and ACD plasma showed a destabilizing effect on ex mRNA and non-coding RNA ribonucleoprotein complexes compared to other plasma types. In a proof-of-concept study, we investigated differences between the exRNA profiles of patients with acute coronary syndrome (ACS) and healthy controls. The improved tissue resolution of ex mRNAs after PNK-treatment enabled us to detect a neutrophil-signature in ACS that escaped detection by ex miRNA analysis.

摘要

细胞外信使 RNA(ex-mRNA)作为生物标志物,其重要性可能超过细胞外 microRNA(ex-miRNA)和其他 RNA 类别。我们采用常规小 RNA 测序(sRNA-seq)和 T4 多核苷酸激酶(PNK)末端处理总 exRNA 进行 sRNA-seq,总 exRNA 来源于血清和血小板贫乏的 EDTA、ACD 和肝素血浆,以研究其对 ex-mRNA 捕获的影响。与常规 sRNA-seq 相比,PNK 处理将信息性 ex-mRNA 读数的检测增加了多达 50 倍。exRNA 池主要由造血细胞和血小板组成,肝脏也有一定的贡献。约 60%的 15-42nt 读长来源于编码序列,其模式类似于核糖体分析。血液样本类型对 exRNA 谱有很大影响。平均而言,根据血浆类型的不同,大约可以检测到 350 到 1100 种不同的 ex-mRNA 转录本。在血清中,来自中性粒细胞和造血细胞的额外转录本使这个数字增加到近 2300 个。与其他血浆类型相比,EDTA 和 ACD 血浆对 exmRNA 和非编码 RNA 核糖核蛋白复合物有不稳定作用。在一项概念验证研究中,我们研究了急性冠脉综合征(ACS)患者和健康对照者之间的 exRNA 谱差异。PNK 处理后 ex-mRNA 的组织分辨率提高,使我们能够检测到 ACS 中的中性粒细胞特征,而这一特征在 ex-miRNA 分析中无法检测到。

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