• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Animal Reproduction >Applications of large-scale molecular profiling techniques to the study of the corpus luteum
【24h】

Applications of large-scale molecular profiling techniques to the study of the corpus luteum

机译：大规模分子谱分析技术在黄体研究中的应用

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The corpus luteum (CL) is vital for the establishment and maintenance of pregnancy. Throughout the history of luteal biology, cutting-edge technologies have been used to develop a thorough understanding of the functions of specific luteal cell types, the signaling pathways that result in luteal cell stimulation or demise, and the molecules that regulate specific functions of luteal cells. The advent of large-scale profiling technologies such as transcriptomics, proteomics, and metabolomics, has brought with it an interest in discovering novel regulatory molecules that may provide targets for manipulation of luteal function or lifespan. Although the work to date is limited, transcriptomics have been effectively used to provide a global picture of changes in mRNA that relate to luteal development, steroidogenesis, luteolysis or luteal rescue. Some studies have been reported that profile microRNA (miRNA) and proteins, and although not yet published, metabolomics analyses of the CL have been undertaken. Thus far, these profiling studies seem to largely confirm earlier findings using targeted approaches, although previously unstudied molecules have also come to light as important luteal regulators. These molecules can then be studied using traditional mechanistic techniques. Use of profiling technologies has presented physiologists with unique challenges associated with analyses of big data sets. An appropriate technique for balancing the risks associated with type I (false discoveries) and type II (overlooking a real change) statistical error has not yet been developed and many big data studies may have potentially important differences that are overlooked. Also, it is imperative that attempts be made to integrate information from the various -omics studies before drawing conclusions based on expression of only one class of molecule, to better reflect the interdependency of molecular networks in cells. Currently, few analysis programs exist for such integrations. Despite challenges associated with these techniques, they have already provided new information about the biology of the CL, notably allowing identification of a key regulator of acquisition of luteolytic capacity and providing a big-picture view of the subtle changes that occur in the CL during early pregnancy. As these technologies become more accurate and less expensive, and as analysis becomes more user-friendly, their use will become much more widespread and many new discoveries will be made. This review will focus only on relevant studies in which these technologies were used to study the CL of ruminants.
机译：黄体（CL）对于建立和维持妊娠至关重要。在黄体生物学的整个历史中，尖端技术已被用于全面了解特定黄体细胞类型的功能，导致黄体细胞刺激或死亡的信号传导途径以及调节黄体细胞特定功能的分子。诸如转录组学，蛋白质组学和代谢组学之类的大规模分析技术的出现，引起了人们对发现可能为黄体功能或寿命操纵提供靶点的新型调节分子的兴趣。尽管迄今为止的工作是有限的，但是转录组学已被有效地用于提供与黄体发育，类固醇生成，黄体溶解或黄体拯救有关的mRNA变化的全局图。据报道，一些研究报道了微RNA（miRNA）和蛋白质的概况，尽管尚未发表，但已经进行了CL的代谢组学分析。迄今为止，尽管以前未研究的分子也作为重要的黄体调节剂被发现，但这些分析研究似乎在很大程度上证实了使用靶向方法的早期发现。然后可以使用传统的机械技术研究这些分子。分析技术的使用给生理学家带来了与大数据集分析相关的独特挑战。尚未开发出一种合适的技术来平衡与I型（错误发现）和II型（忽略实际变化）统计错误相关的风险，许多大数据研究可能具有潜在的重要差异而被忽略。同样，在基于仅一类分子的表达得出结论之前，必须尝试整合来自各种组学研究的信息，以更好地反映细胞中分子网络的相互依赖性。当前，很少有用于此类集成的分析程序。尽管与这些技术相关联的挑战，他们已经提供了有关CL生物学的新信息，尤其是可以识别获得溶血能力的关键调节剂，并提供CL早期发生的细微变化的全景。怀孕。随着这些技术变得更加准确和廉价，并且分析变得更加用户友好，它们的使用将变得更加广泛，并且将获得许多新发现。这篇综述将仅关注使用这些技术研究反刍动物CL的相关研究。

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