首页> 外文会议>International Conference on Bioinformatics and Computational Biology >Advanced statistical analysis of RNA-seq differential gene expression profiles of animal gene-environment interactions
【24h】

Advanced statistical analysis of RNA-seq differential gene expression profiles of animal gene-environment interactions

机译:动物基因环境相互作用RNA-SEQ差异基因表达谱的高级统计分析

获取原文

摘要

RNA-sequencing (RNA-seq) analysis enables to study gene-environment interactions and their impact on the transcriptome. The variety of techniques and software packages for statistical analysis available tailors RNA-seq processing for a specific experiment. Three individual studies, each dissecting a different environmental factor including exercise and a specific immunological challenge, resulted in significant findings. In the first study, mice with the indoleamine 2,3-dioxygenase gene knocked out suffered from the same inflammation as wild type mice when injected with Bacillus Calmette-Guerin, but interestingly did not exhibit any of the depressive symptomatology which characteristically accompanies the infection. RNA-seq data was extracted from these mice, and statistical analysis revealed which genes may be responsible for this phenomenon, which could potentially provide researchers with the tools to create genetic treatments of depression occurring as a byproduct of inflammatory disorders. The second study of gene factors in Myostatin knock-out mice that were either allowed to or restricted from exercise revealed novel gene links for muscle development. Knowledge of genes involved in muscle growth post-development can allow for treatment of muscle atrophy in adults. A final study aimed to use a dependence-like preference for exercise as a murine model for substance addiction. Mice were selected for their drive towards exercise apd then either allowed or deprived of the reward. These results showcase the power of advanced statistical methods of RNA-seq analysis.
机译:RNA测序(RNA-seq的)分析,可以研究基因与环境的相互作用及其对转录的影响。在各种技术和软件包进行统计分析可以裁缝RNA-seq的处理特定的实验。三个个人的研究,每一个解剖包括运动和特异性免疫的挑战,导致显著发现一个不同的环境因素。在第一项研究中,老鼠与吲哚胺2,3-双加氧酶基因敲除时卡介苗注射,但有趣的是并没有表现出任何其特有的伴随感染的抑郁症状的来自同一炎症野生型小鼠受到影响。 RNA-SEQ数据是从这些小鼠中提取,和统计分析表明哪些基因可以负责这种现象,这有可能为研究人员提供的工具来创建作为发生炎性病症的副产品抑郁症的遗传疗法。基因因素在肌肉生长抑制素基因敲除小鼠是要么允许或限制行使第二项研究揭示了肌肉发育的新基因联系。参与肌肉生长后期发育的基因的知识可以允许治疗成人肌肉萎缩。最后研究旨在使用依赖样偏爱运动作为物质成瘾小鼠模型。小鼠挑选适合自己的锻炼对APD驱动器,然后允许或剥夺的奖励。这些结果展示的RNA-seq的分析的先进统计方法的能力。

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