Analysis of gene expression profile triggered by signal peptide of eosinophil cationic protein

Yu-Shu Liu, Chung-Hsaio Chao, Hao-Teng Chang, M. Chang, Yong Wang, Tun-Wen Pai
{"title":"Analysis of gene expression profile triggered by signal peptide of eosinophil cationic protein","authors":"Yu-Shu Liu, Chung-Hsaio Chao, Hao-Teng Chang, M. Chang, Yong Wang, Tun-Wen Pai","doi":"10.1109/ISB.2011.6033145","DOIUrl":null,"url":null,"abstract":"The signal peptide of eosinophil cationic protein (ECPsp) is known to play an important role in translocating ECP to extracellular space. However, we previously discovered that ECPsp has a novel function of inhibiting microbial growth and regulating the gene expression of tumor growth factor-alpha (TGF-α) and epidermal growth factor receptor (EGFR) in mammalian cells. In the present study, we first generated a DNA microarray dataset, which showed that ECPsp up-regulated inflammatory molecules including cytokines, chemokines, interferon-induced molecules, and Toll-like receptors. We then generated a function linkage network by integrating the microarray dataset with the KEGG pathway database, and discovered that STAT1, an important factor regulating cytokine expression and release, served as a hub to connect the pathways of cytokine stimulation (TGF-α and EGFR) and inflammatory responses. Furthermore, integrating the ECPsp interactome dataset with the functional linkage network elucidated that STAT1 served as a hub to connect 3 functional clusters, including cell proliferation and survival, protein translational regulation, and inflammatory responses. Our approach involving experimental and computational systems biology provided predicted pathways and potential regulation for further characterization of the novel function of ECPsp under inflammatory conditions.","PeriodicalId":355056,"journal":{"name":"2011 IEEE International Conference on Systems Biology (ISB)","volume":"188 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Conference on Systems Biology (ISB)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISB.2011.6033145","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The signal peptide of eosinophil cationic protein (ECPsp) is known to play an important role in translocating ECP to extracellular space. However, we previously discovered that ECPsp has a novel function of inhibiting microbial growth and regulating the gene expression of tumor growth factor-alpha (TGF-α) and epidermal growth factor receptor (EGFR) in mammalian cells. In the present study, we first generated a DNA microarray dataset, which showed that ECPsp up-regulated inflammatory molecules including cytokines, chemokines, interferon-induced molecules, and Toll-like receptors. We then generated a function linkage network by integrating the microarray dataset with the KEGG pathway database, and discovered that STAT1, an important factor regulating cytokine expression and release, served as a hub to connect the pathways of cytokine stimulation (TGF-α and EGFR) and inflammatory responses. Furthermore, integrating the ECPsp interactome dataset with the functional linkage network elucidated that STAT1 served as a hub to connect 3 functional clusters, including cell proliferation and survival, protein translational regulation, and inflammatory responses. Our approach involving experimental and computational systems biology provided predicted pathways and potential regulation for further characterization of the novel function of ECPsp under inflammatory conditions.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
嗜酸性阳离子蛋白信号肽触发基因表达谱分析
嗜酸性阳离子蛋白(ECPsp)的信号肽在ECP转运到细胞外空间中起重要作用。然而,我们之前发现ECPsp在哺乳动物细胞中具有抑制微生物生长和调节肿瘤生长因子α (TGF-α)和表皮生长因子受体(EGFR)基因表达的新功能。在本研究中,我们首先生成了一个DNA微阵列数据集,该数据集显示ECPsp上调炎症分子,包括细胞因子、趋化因子、干扰素诱导分子和toll样受体。然后,我们将微阵列数据集与KEGG通路数据库整合,生成功能链接网络,发现STAT1是调节细胞因子表达和释放的重要因子,是连接细胞因子刺激(TGF-α和EGFR)和炎症反应通路的枢纽。此外,将ECPsp相互作用组数据集与功能链接网络相结合,阐明STAT1作为枢纽连接3个功能簇,包括细胞增殖和存活、蛋白质翻译调节和炎症反应。我们的方法涉及实验和计算系统生物学,为进一步表征炎症条件下ECPsp的新功能提供了预测途径和潜在调节。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Detecting coherent local patterns from time series gene expression data by a temporal biclustering method Bifurcation of an epidemic model with sub-optimal immunity and saturated recovery rate Parallel-META: A high-performance computational pipeline for metagenomic data analysis The role of GSH depletion in Resveratrol induced HeLa cell apoptosis Genomic signatures for metagenomic data analysis: Exploiting the reverse complementarity of tetranucleotides
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1