Speranza Emily, Connor John H
Department of Microbiology, Bioinformatics Program, National Emerging Infectious Disease Laboratories, Boston University, Boston, MA 02118, USA.
Vaccines (Basel). 2017 Sep 20;5(3):30. doi: 10.3390/vaccines5030030.
Ebola virus disease (EVD) is a serious illness that causes severe disease in humans and non-human primates (NHPs) and has mortality rates up to 90%. EVD is caused by the and currently there are no licensed therapeutics or vaccines to treat EVD. Due to its high mortality rates and potential as a bioterrorist weapon, a better understanding of the disease is of high priority. Multiparametric analysis techniques allow for a more complete understanding of a disease and the host response. Analysis of RNA species present in a sample can lead to a greater understanding of activation or suppression of different states of the immune response. Transcriptomic analyses such as microarrays and RNA-Sequencing (RNA-Seq) have been important tools to better understand the global gene expression response to EVD. In this review, we outline the current knowledge gained by transcriptomic analysis of EVD.
埃博拉病毒病（EVD）是一种严重疾病，可导致人类和非人类灵长类动物（NHPs）患上严重疾病，死亡率高达90%。EVD由 引起，目前尚无用于治疗EVD的获批疗法或疫苗。由于其高死亡率以及作为生物恐怖主义武器的潜在威胁，深入了解该疾病至关重要。多参数分析技术有助于更全面地了解疾病及其宿主反应。对样本中存在的RNA种类进行分析能够更深入地了解免疫反应不同状态的激活或抑制情况。诸如微阵列和RNA测序（RNA-Seq）等转录组分析已成为更好地了解对EVD的全球基因表达反应的重要工具。在本综述中，我们概述了通过EVD转录组分析获得的当前知识。
