Suppr超能文献

2017 WONOEP 评估:应用系统生物学方法研究癫痫作为一种网络疾病。

2017 WONOEP appraisal: Studying epilepsy as a network disease using systems biology approaches.

机构信息

Department of Neurological Sciences, Department of Computer Science, University of Vermont Larner College of Medicine, Burlington, Vermont.

Department of (Neuro)Pathology, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands.

出版信息

Epilepsia. 2019 Jun;60(6):1045-1053. doi: 10.1111/epi.15216. Epub 2019 May 14.

Abstract

The revolution in high-throughput omics technologies has dramatically expanded our understanding of the epilepsies as complex diseases. It is now clear that further progress in treating the full spectrum of seizure disorders requires a systems-level framework for analyzing and integrating data from multiple omics technologies that moves beyond the search for single molecular alterations to an understanding of dysregulated pathways in epilepsy. Taking such a pathway-centered view requires further integrating the tools of systems biology into epilepsy research. In this appraisal, we highlight and summarize systems biology approaches in basic epilepsy studies as they were discussed during the 2017 Workshop on the Neurobiology of Epilepsy (WONOEP). During the 3-day event, participants exchanged emerging results and thoughts on developing the systems biology of epilepsy, and the promise and limitations of these approaches for the near term.

摘要

高通量组学技术的革命极大地扩展了我们对癫痫等复杂疾病的理解。现在很明显,要在治疗全面的癫痫发作障碍方面取得进一步进展,就需要一个系统级的框架来分析和整合来自多种组学技术的数据,而不仅仅是寻找单一的分子改变,而是要了解癫痫中的失调途径。采取这种以途径为中心的观点需要进一步将系统生物学的工具整合到癫痫研究中。在这篇评价中,我们强调并总结了基础癫痫研究中的系统生物学方法,这些方法在 2017 年癫痫神经生物学研讨会(WONOEP)上进行了讨论。在为期 3 天的活动中,参与者交流了有关发展癫痫系统生物学的新兴结果和想法,以及这些方法在近期的前景和局限性。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验