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Whole-transcriptome sequencing uncovers core regulatory modules and gene signatures of human fetal growth restriction

机译:全转录组测序揭示人胎儿生长限制的核心调节模块和基因特征

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Background Fetal growth restriction (FGR) contributes the primary cause of perinatal mortality and morbidity with impacts on the long-term health. To determine the core gene expression network and gene signatures, which in combination with ultrasound confirmation will more effectively differentiate constitutionally normal small for gestational age and pathological FGR groups, we performed RNA sequencing for protein-coding genes, lncRNAs, and small RNAs in a case-control study of umbilical cord blood. Results Five pairs of FGR case and control umbilical cord blood samples were used for RNA sequencing and weighted gene co-expression network analysis (WGCNA). Results showed that 339 mRNAs, 295 lncRNAs, and 13 miRNAs were significantly differentially expressed between FGR cases and controls. Bioinformatics analysis indicated that these differentially expressed molecules were mainly involved in metabolism, neural, cardiac, and immune systems, and identified 18 WGCNA modules for FGR. Further quantitative verification was performed using umbilical cord blood and maternal peripheral blood from 12 pairs of FGR cases and controls. The logistic regression and receiver operating characteristic curve indicated that RP11_552M6.1, LINC01291, and Asgr1 in umbilical cord blood, while Sfrp2, miR-432-5p, and miR-1306-3p in maternal peripheral blood had potential significance for FGR. Conclusions We comprehensively profiled the whole-transcriptome landscape of human umbilical cord blood with FGR, constructed the core WGCNA modules, and delineated the critical gene signatures of FGR. These findings provide key insight into intrauterine perturbations and candidate signatures for FGR.
机译:背景技术胎儿生长限制(FGR)有助于对长期健康影响的围产期死亡率和发病率的主要原因。为了确定核心基因表达网络和基因签名,其与超声确认将更有效地区分孕龄和病理FGR组的致力正常小,我们在壳体中对蛋白质编码基因,LNCRNA和小RNA进行了RNA测序 - 控制脐带血的研究。结果5对FGR案例和控制脐带血液样品用于RNA测序和加权基因共表达网络分析(WGCNA)。结果表明,在FGR病例和对照之间显着表达了339mRNA,295克朗,和13名MiRNA。生物信息学分析表明,这些差异表达的分子主要参与代谢,神经,心脏和免疫系统,并确定FGR的18个WGCNA模块。通过来自12对FGR病例和对照的脐带血和母体外周血进行进一步的定量验证。 Logistic回归和接收机操作特性曲线表明RP11_552M6.1,LINC01291和ASG1在脐带血,而SFRP2,MIR-432-5P和MIR-1306-3P中的母体外周血对FGR具有潜在的意义。结论我们全面地探讨了人脐血与FGR的全转录组景观,构建了核心WGCNA模块,并描绘了FGR的关键基因特征。这些调查结果提供了对FGR的宫内扰动和候选签名的关键洞察。

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