Expression profiling of immune-related genes from Japanese flounder Paralichthys olivaceus kidney cells using cDNA microarrays

Expression profiling of immune-related genes from Japanese flounder Paralichthys olivaceus kidney cells using cDNA microarrays
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DOI:
10.1016/j.dci.2004.10.005
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发表时间:
2005-01-01
影响因子:
2.9
通讯作者:
Aoki, T
Aoki, T
中科院分区:
生物学3区
文献类型:
--
作者:
Kurobe, T;Yasuike, M;Aoki, T

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构建了一个日本比目鱼(parichthys olivaceus) cDNA芯片,该芯片包含871个独特的cDNA,其中包括我们EST研究中推测的91个免疫相关基因,并用于表征受ConA、PMA、LPS等有丝分裂原刺激或hirame rhabdovirus (HRV)感染的体外培养肾细胞的基因表达。受这些因素影响表达增加或减少的基因数为:Con A 17个,PMA 139个,LPS 76个,HRV 182个。Con A处理1和6小时仅影响少数免疫相关基因的表达。PMA下调的基因远远多于上调的基因。PMA诱导凋亡相关因子c-fos、NGF诱导蛋白113、nr13等基因表达。LPS诱导炎症相关基因的表达,如lL-1 β单核细胞趋化蛋白I和胶原酶。许多基因的表达在HRV感染3 h后得到诱导,但部分基因的表达在HRV感染6 h后降至基础水平。Con A、PMA、LPS或HRV感染在不同时期诱导或降低了部分功能未知基因的表达。通过本研究中所有的基因表达谱,我们可以获得大量关于不同应激或刺激下肾细胞基因表达动态变化的信息。(c) 2004 Elsevier Ltd.版权所有。
A Japanese flounder Paralichthys olivaceus cDNA microarray containing 871 unique cDNAs including 91 putative immune-related genes from our EST studies was constructed and used to characterize of gene expression of in vitro grown kidney cells stimulated with mitogens such as ConA, PMA, LPS or infected with hirame rhabdovirus (HRV). The numbers of genes whose expressions were increased or decreased by these factors were: 17 by Con A, 139 by PMA, 76 by LPS and 182 by HRV infection. The treatment of Con A for I and 6 h affected the expression of only a few of the immune-related genes. PMA down-regulated far more genes than it up-regulated. Apoptosis-related factors, such as c-fos, NGF induced protein 113 and NR 13 genes, were among the genes whose expressions were induced by PMA. LPS induced the expression of inflammation-related genes, such as lL-1 beta monocyte chemotactic protein I and collagenase. The expressions of many genes were induced after 3 h HRV infection but some of them were decreased to the basal level after 6 h HRV infection. The expression of some genes of unknown function were induced or reduced by Con A, PMA or LPS or by HRV infection in different time periods.From all of the gene expression profiling in this study, we could get lots of information about the dynamic changes in the gene expression of the kidney cells under different stress or stimulations. (c) 2004 Elsevier Ltd. All rights reserved.