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Multiparametric comparative analysis of all pre- and postinfection related immune cell and clinical traits

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Figshare2016-08-30 更新2026-04-08 收录
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https://figshare.com/articles/dataset/Multi_parametric_comparative_analysis_of_all_pre_and_post_infection_related_immune_cell_and_clinical_traits/768435
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Multiparametric analysis of 233 MA/My x C57L intercross and backcross mice segregating MHC class I Dk. Before murine (M)CMV infection, all mice were weighed and bled. Blood leukocytes were stained with fluorochrome-conjugated mAbs for CD3, CD19, and NK receptors and then analyzed by flow cytometry. NK cell subset light-scattering features, absolute number, frequency, and receptor display intensity were recorded as individual pre-infection traits. Afterward, the mice were infected with MCMV. Spleen and liver tissues were collected 3.5 d later for analysis of postinfection traits, including genomic genotypes and viral load. Spleen leukocytes from infected mice were analyzed as for pre-infection traits. The change in trait values were calculated from the pre- (blood) and post- (spleen) infection trait values. In total, 110 distinct traits were assessed. Multiparametric Pearson correlations were performed in the R (versions 2.15.0 and 2.15.2) computing environment using an automated correlation analysis followed with a strict Bonferroni correction for multiple tests. P-values were corrected for multiple comparisons using both the Benjamini-Hochberg false discovery rate and the Bonferroni Correction.

本研究对233只MA/My与C57L的互交及回交小鼠开展多参数分析,这些小鼠均分离携带主要组织相容性复合体I类Dk(MHC class I Dk)。在鼠巨细胞病毒(murine (M)CMV)感染前,对所有小鼠进行称重并采集血液样本。采用荧光素标记的单克隆抗体(monoclonal antibodies, mAbs)对血液白细胞进行染色,靶标涵盖CD3、CD19以及自然杀伤细胞(natural killer, NK)受体,随后通过流式细胞术开展分析。将NK细胞亚群的光散射特征、绝对计数、细胞占比以及受体表达强度作为感染前的单项表型进行记录。随后,对所有小鼠接种MCMV。感染后3.5天采集脾脏与肝脏组织,用于分析感染后表型,包括基因组基因型与病毒载量。对感染小鼠的脾脏白细胞按照感染前表型的检测流程开展分析。根据感染前(血液样本来源)与感染后(脾脏样本来源)的表型数值,计算得到各表型的变化量。本次研究共评估了110项独立表型。在R语言(版本2.15.0与2.15.2)计算环境中,通过自动化相关分析开展多参数Pearson相关分析,并针对多重检验实施严格的Bonferroni校正。针对多重比较得到的P值,同时采用Benjamini-Hochberg错误发现率(false discovery rate, FDR)与Bonferroni校正两种方法进行校正。
创建时间:
2013-08-09
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