Rosenstierne Maiken W, McLoughlin Kevin S, Olesen Majken Lindholm, Papa Anna, Gardner Shea N, Engler Olivier, Plumet Sebastien, Mirazimi Ali, Weidmann Manfred, Niedrig Matthias, Fomsgaard Anders, Erlandsson Lena
Department of Microbiological Diagnostics and Virology, Statens Serum Institut, Copenhagen, Denmark.
Global Security, Lawrence Livermore National Laboratory, Livermore, California, United States of America.
PLoS One. 2014 Jun 25;9(6):e100813. doi: 10.1371/journal.pone.0100813. eCollection 2014.
Emerging viruses are usually endemic to tropical and sub-tropical regions of the world, but increased global travel, climate change and changes in lifestyle are believed to contribute to the spread of these viruses into new regions. Many of these viruses cause similar disease symptoms as other emerging viruses or common infections, making these unexpected pathogens difficult to diagnose. Broad-spectrum pathogen detection microarrays containing probes for all sequenced viruses and bacteria can provide rapid identification of viruses, guiding decisions about treatment and appropriate case management. We report a modified Whole Transcriptome Amplification (WTA) method that increases unbiased amplification, particular of RNA viruses. Using this modified WTA method, we tested the specificity and sensitivity of the Lawrence Livermore Microbial Detection Array (LLMDA) against a wide range of emerging viruses present in both non-clinical and clinical samples using two different microarray data analysis methods.
新兴病毒通常在世界热带和亚热带地区呈地方性流行,但据信全球旅行增加、气候变化和生活方式改变促使这些病毒传播到新的地区。其中许多病毒引起的疾病症状与其他新兴病毒或常见感染相似,这使得这些意想不到的病原体难以诊断。包含所有已测序病毒和细菌探针的广谱病原体检测微阵列能够快速识别病毒,为治疗决策和适当的病例管理提供指导。我们报告了一种改进的全转录组扩增(WTA)方法,该方法可增加无偏差扩增,尤其是对RNA病毒。使用这种改进的WTA方法,我们采用两种不同的微阵列数据分析方法,针对非临床和临床样本中存在的多种新兴病毒,测试了劳伦斯利弗莫尔微生物检测阵列(LLMDA)的特异性和灵敏度。