首页> 外文期刊>BMC Genomics >Whole-transcriptome analysis delineates the human placenta gene network and its associations with fetal growth
【24h】

Whole-transcriptome analysis delineates the human placenta gene network and its associations with fetal growth

机译:全转录组分析描述了人类胎盘基因网络及其与胎儿生长的关系

获取原文
           

摘要

Background The placenta is the principal organ regulating intrauterine growth and development, performing critical functions on behalf of the developing fetus. The delineation of functional networks and pathways driving placental processes has the potential to provide key insight into intrauterine perturbations that result in adverse birth as well as later life health outcomes. Results We generated the transcriptome-wide profile of 200 term human placenta using the Illumina HiSeq 2500 platform and characterized the functional placental gene network using weighted gene coexpression network analysis (WGCNA). We identified 17 placental coexpression network modules that were dominated by functional processes including growth, organ development, gas exchange and immune response. Five network modules, enriched for processes including cellular respiration, amino acid transport, hormone signaling, histone modifications and gene expression, were associated with birth weight; hub genes of all five modules ( CREB3 , DDX3X, DNAJC14 , GRHL1 and C21orf91 ) were significantly associated with fetal growth restriction, and one hub gene ( CREB3 ) was additionally associated with fetal overgrowth. Conclusions In this largest RNA-Seq based transcriptome-wide profiling study of human term placenta conducted to date, we delineated a placental gene network with functional relevance to fetal growth using a network-based approach with superior scale reduction capacity. Our study findings not only implicate potential molecular mechanisms underlying fetal growth but also provide a reference placenta gene network to inform future studies investigating placental dysfunction as a route to future disease endpoints.
机译:背景胎盘是调节子宫内生长和发育的主要器官,代表发育中的胎儿执行关键功能。功能网络和驱动胎盘过程的途径的描述有可能提供对导致不良分娩以及以后的生活健康结局的宫内摄动的关键见解。结果我们使用Illumina HiSeq 2500平台生成了200个足月人胎盘的转录组全谱,并使用加权基因共表达网络分析(WGCNA)表征了功能性胎盘基因网络。我们确定了17个胎盘共表达网络模块,这些模块主要由功能过程控制,包括生长,器官发育,气体交换和免疫反应。五个网络模块充实了包括细胞呼吸,氨基酸转运,激素信号传导,组蛋白修饰和基因表达在内的过程,与出生体重有关;所有五个模块(CREB3,DDX3X,DNAJC14,GRHL1和C21orf91)的轮毂基因都与胎儿生长受限显着相关,而一个轮毂基因(CREB3)还与胎儿过度生长相关。结论迄今为止,在这项迄今为止最大的基于RNA-Seq的全人类胎盘转录组分析研究中,我们使用具有超强减垢能力的基于网络的方法,描绘了一种与胎儿生长功能相关的胎盘基因网络。我们的研究结果不仅暗示了胎儿生长的潜在分子机制,而且还提供了参考胎盘基因网络,可为将来研究胎盘功能障碍作为通往未来疾病终点的途径的研究提供信息。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号