猪繁殖与呼吸综合征病毒对猪肺泡巨噬细胞功能影响的基因表达序列分析(SAGE)

L C Miller, G P Harhay, K M Lager, T P L Smith, J D Neill
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引用次数: 9

摘要

猪繁殖与呼吸综合征病毒(PRRSV)是世界范围内猪的主要病原体,造成相当大的经济损失。感染的主要目标是猪肺泡巨噬细胞(PAM)。PRRSV感染PAMs会导致其功能发生显著变化,其机制尚不清楚。我们采用基因表达序列分析(SAGE)来检测prrsv感染的pam中基因的全局表达。在感染后0、6、12、16和24小时分别从体外模拟感染和PRRSV株vr -2332感染的pam中制备细胞总rna,并进行SAGE分析,每个时间点获得> 100,000个标签。在生成标签计数列表之前,对这些序列进行处理以解释排序错误。这些列表被存入修改后的Identitag数据库,用于定位猪和PRRSV基因。分析鉴定出的独特mrnatag的身份和相对丰度。SAGE数据的检查表明,随着感染后的时间推移,prrsv感染的PAMs中基因表达发生了变化。发现400多个表达水平显著改变的独特标签(经Bonferroni校正p < 0.01)。采用实时RT-PCR技术评价SAGE鉴定基因的表达效度和动力学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effect of porcine reproductive and respiratory syndrome virus on porcine alveolar macrophage function as determined using serial analysis of gene expression (SAGE).

Porcine reproductive and respiratory syndrome virus (PRRSV) is a major pathogen of swine worldwide and causes considerable economic loss. The main target of infection is the porcine alveolar macrophage (PAM). Infection of PAMs by PRRSV causes significant changes in their function by mechanisms that are not understood. We have employed Serial Analysis of Gene Expression (SAGE) to examine the global expression of genes in PRRSV-infected PAMs. Total cellular RNAwas prepared from in vitro mock-infected and PRRSV strain VR-2332-infected PAMs at 0, 6, 12, 16 and 24 hours after infection, and subjected to SAGE analysis to obtain > 100,000 tags per time point. These sequences were processed to account for sequencing error before generating tag:count lists. These lists were deposited into a modified Identitag database for mapping to porcine and PRRSV genes. Identified unique mRNAtags were analyzed for their identity and relative abundance. Examination of the SAGE data indicated that there were changes in gene expression occurring in the PRRSV-infected PAMs over time post-infection. More than 400 unique tags with significantly altered expression levels were identified (p < 0.01 with Bonferroni correction). The validity and kinetics of expression of SAGE identified genes were evaluated using real-time RT-PCR.

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