RNA-seq揭示了缺氧条件下HTR-8/Svneo细胞中不同表达的lncRNA和circRNA及其相关功能网络。

IF 2.1 4区 医学 Q3 GENETICS & HEREDITY BMC Medical Genomics Pub Date : 2024-06-28 DOI:10.1186/s12920-024-01933-4
Jiaqing Zhou, YueHua Sheng, Zhezhan Chen, Huiqing Ding, Xiaojiao Zheng
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引用次数: 0

摘要

胎盘缺氧对孕妇健康和胎儿生长发育都有危害。先兆子痫和胎儿宫内生长受限是常见的妊娠问题,而胎盘缺氧是原因之一。胎盘缺氧与多种妊娠疾病有关v。为了研究它们在缺氧环境中的潜在功能,我们模拟了 HTR-8/Svneo 细胞的缺氧环境,并利用高通量 RNA 测序对缺氧的 HTR-8/Svneo 细胞进行了 lncRNA 和 circRNA 研究。通过整合子痫前期和宫内生长受限胎盘中异常表达的miRNA,预测了miRNA靶基因,并绘制了ceRNA网络图,对circRNA和lncRNA进行了完整的转录组学和生物信息学研究。利用GO和KEGG分析预测了这些基因主要参与的信号通路。为缺氧环境中由lncRNAs和circRNAs引起的滋养层机体衰竭提出新的解释。
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RNA-seq reveals differentially expressed lncRNAs and circRNAs and their associated functional network in HTR-8/Svneo cells under hypoxic conditions.

Placental hypoxia is hazardous to maternal health as well as fetal growth and development. Preeclampsia and intrauterine growth restriction are common pregnancy problems, and one of the causes is placental hypoxia. Placental hypoxia is linked to a number of pregnancy illnessesv. To investigate their potential function in anoxic circumstances, we mimicked the anoxic environment of HTR-8/Svneo cells and performed lncRNA and circRNA studies on anoxic HTR-8/Svneo cells using high-throughput RNA sequencing. The miRNA target genes were predicted by integrating the aberrant expression of miRNAs in the placenta of preeclampsia and intrauterine growth restriction, and a ceRNA network map was developed to conduct a complete transcriptomic and bioinformatics investigation of circRNAs and lncRNAs. The signaling pathways in which the genes were primarily engaged were predicted using GO and KEGG analyses. To propose a novel explanation for trophoblastic organism failure caused by lncRNAs and circRNAs in an anoxic environment.

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来源期刊
BMC Medical Genomics
BMC Medical Genomics 医学-遗传学
CiteScore
3.90
自引率
0.00%
发文量
243
审稿时长
3.5 months
期刊介绍: BMC Medical Genomics is an open access journal publishing original peer-reviewed research articles in all aspects of functional genomics, genome structure, genome-scale population genetics, epigenomics, proteomics, systems analysis, and pharmacogenomics in relation to human health and disease.
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