A Cross-Study Biomarker Signature of Human Bronchial Epithelial Cells Infected with Respiratory Syncytial Virus.

IF 1.1 Q4 VIROLOGY
Advances in Virology Pub Date : 2016-01-01 Epub Date: 2016-05-04 DOI:10.1155/2016/3605302
Luiz Gustavo Gardinassi
{"title":"A Cross-Study Biomarker Signature of Human Bronchial Epithelial Cells Infected with Respiratory Syncytial Virus.","authors":"Luiz Gustavo Gardinassi","doi":"10.1155/2016/3605302","DOIUrl":null,"url":null,"abstract":"<p><p>Respiratory syncytial virus (RSV) is a major cause of lower respiratory tract infections in children, elderly, and immunocompromised individuals. Despite of advances in diagnosis and treatment, biomarkers of RSV infection are still unclear. To understand the host response and propose signatures of RSV infection, previous studies evaluated the transcriptional profile of the human bronchial epithelial cell line-BEAS-2B-infected with different strains of this virus. However, the evolution of statistical methods and functional analysis together with the large amount of expression data provide opportunities to uncover novel biomarkers of inflammation and infections. In view of those facts publicly available microarray datasets from RSV-infected BEAS-2B cells were analyzed with linear model-based statistics and the platform for functional analysis InnateDB. The results from those analyses argue for the reevaluation of previously reported transcription patterns and biological pathways in BEAS-2B cell lines infected with RSV. Importantly, this study revealed a biosignature constituted by genes such as ABCC4, ARMC8, BCLAF1, EZH1, FAM118A, FAM208B, FUS, HSPH1, KAZN, MAP3K2, N6AMT1, PRMT2, S100PBP, SERPINA1, TLK2, ZNF322, and ZNF337 which should be considered in the development of new molecular diagnosis tools. </p>","PeriodicalId":7473,"journal":{"name":"Advances in Virology","volume":null,"pages":null},"PeriodicalIF":1.1000,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1155/2016/3605302","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Virology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1155/2016/3605302","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2016/5/4 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"VIROLOGY","Score":null,"Total":0}
引用次数: 6

Abstract

Respiratory syncytial virus (RSV) is a major cause of lower respiratory tract infections in children, elderly, and immunocompromised individuals. Despite of advances in diagnosis and treatment, biomarkers of RSV infection are still unclear. To understand the host response and propose signatures of RSV infection, previous studies evaluated the transcriptional profile of the human bronchial epithelial cell line-BEAS-2B-infected with different strains of this virus. However, the evolution of statistical methods and functional analysis together with the large amount of expression data provide opportunities to uncover novel biomarkers of inflammation and infections. In view of those facts publicly available microarray datasets from RSV-infected BEAS-2B cells were analyzed with linear model-based statistics and the platform for functional analysis InnateDB. The results from those analyses argue for the reevaluation of previously reported transcription patterns and biological pathways in BEAS-2B cell lines infected with RSV. Importantly, this study revealed a biosignature constituted by genes such as ABCC4, ARMC8, BCLAF1, EZH1, FAM118A, FAM208B, FUS, HSPH1, KAZN, MAP3K2, N6AMT1, PRMT2, S100PBP, SERPINA1, TLK2, ZNF322, and ZNF337 which should be considered in the development of new molecular diagnosis tools.

Abstract Image

Abstract Image

Abstract Image

呼吸道合胞病毒感染人支气管上皮细胞的交叉研究生物标志物特征
呼吸道合胞病毒(RSV)是儿童、老年人和免疫功能低下个体下呼吸道感染的主要原因。尽管在诊断和治疗方面取得了进展,但RSV感染的生物标志物仍不清楚。为了了解宿主反应并提出RSV感染的特征,先前的研究评估了感染不同RSV毒株的人支气管上皮细胞系beas - 2b的转录谱。然而,统计方法和功能分析的发展以及大量的表达数据为发现新的炎症和感染生物标志物提供了机会。鉴于这些事实,利用基于线性模型的统计和功能分析平台InnateDB对rsv感染的BEAS-2B细胞的公开微阵列数据集进行了分析。这些分析的结果支持重新评估先前报道的感染RSV的BEAS-2B细胞系的转录模式和生物学途径。重要的是,本研究揭示了由ABCC4、ARMC8、BCLAF1、EZH1、FAM118A、FAM208B、FUS、HSPH1、KAZN、MAP3K2、N6AMT1、PRMT2、S100PBP、SERPINA1、TLK2、ZNF322和ZNF337等基因组成的生物特征,这些基因在开发新的分子诊断工具时应该考虑到。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
2.30
自引率
0.00%
发文量
23
审稿时长
22 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信