He Kan, Wang Zhen, Wang Qishan, Pan Yuchun
School of Agriculture and Biology, Department of Animal Sciences, Shanghai Jiao Tong University, Shanghai 200240, People's Republic of China.
Genet Res (Camb). 2013 Jun;95(2-3):78-88. doi: 10.1017/S0016672313000098.
Gene expression profiling of peroxisome-proliferator-activated receptor α (PPARα) has been used in several studies, but there were no consistent results on gene expression patterns involved in PPARα activation in genome-wide due to different sample sizes or platforms. Here, we employed two published microarray datasets both PPARα dependent in mouse liver and applied meta-analysis on them to increase the power of the identification of differentially expressed genes and significantly enriched pathways. As a result, we have improved the concordance in identifying many biological mechanisms involved in PPARα activation. We suggest that our analysis not only leads to more identified genes by combining datasets from different resources together, but also provides some novel hepatic tissue-specific marker genes related to PPARα according to our re-analysis.
过氧化物酶体增殖物激活受体α（PPARα）的基因表达谱已在多项研究中得到应用，但由于样本量或平台不同，在全基因组范围内参与PPARα激活的基因表达模式尚无一致结果。在此，我们采用了两个已发表的均依赖于小鼠肝脏中PPARα的微阵列数据集，并对其进行荟萃分析，以提高鉴定差异表达基因和显著富集通路的能力。结果，我们在鉴定参与PPARα激活的许多生物学机制方面提高了一致性。我们认为，我们的分析不仅通过将来自不同资源的数据集组合在一起导致更多已鉴定的基因，而且根据我们的重新分析还提供了一些与PPARα相关的新型肝组织特异性标记基因。
