The expression profile of plasmatic exosomal lncRNAs in early-onset preeclampsia by sequencing

测序分析早发型子痫前期血浆外泌体 lncRNA 表达谱

阅读:6
作者:Xiaoqian Fu, Min Wu, Yue Chen, Liling Li, Hongyu Yin, Kaili Liang, Yachang Zeng

Abstract

Identification of the expression profile of exosomal lncRNAs in plasma from PE patients to provide new insights into the molecular mechanism. Five pregnant patients with early-onset severe PE were included in the PE group and 5 normal pregnant patients were included in the control group in the training cohort. Differential expression of genes were identified between the two groups, and were verified in plasma exosomes from 12 additional pregnant patients with EPE and 12 normal pregnant patients. KEGG pathway analysis and GO enrichment analysis were performed using online prediction databases to construct a lncRNA-miRNA-mRNA co-expression network. From there a panel of candidate lncRNAs was selected and validated via quantitative PCR in the two groups. In the 289 differential lncRNA, 155 were up-regulated and 134 were down-regulated. Bioinformatics enrichment analysis demonstrated that the target genes of differential expression of lncRNAs were enriched in 159 pathways with P < 0.05, including cancer, metabolic and PI3K-Akt signaling pathways. Three lncRNAs exhibited significant differential expressed in exosomes between the two groups. A lncRNA-miRNA-mRNA co-expression network analysis showed that ENST00000559730-hsa-miR-661-NUDT16 was the most frequently associated with susceptibility-relation of PE. The significant differences of plasmatic exosomal lncRNA expression between normal pregnant women and early-onset severe PE patients suggest that lncRNA may participate in the pathogenetic process of PE. Our study provides a preliminary bioinformatic foundation in order to find PE markers in plasma which further increase the sample size, and continue to verify the function of lncRNA in vitro.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。