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Epigenetic Variability Confounds Transcriptome but Not Proteome Profiling for Coexpression-based Gene Function Prediction

机译:表观遗传变异混淆了转录组但不能对基于共表达的基因功能预测进行蛋白质组分析

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摘要

Genes are often coexpressed with their genomic neighbors, even if these are functionally unrelated. For small expression changes driven by genetic variation within the same cell type, non-functional mRNA coexpression is not propagated to the protein level. However, it is unclear if protein levels are also buffered against any non-functional mRNA coexpression accompanying large, regulated changes in the gene expression program, such as those occurring during cell differentiation. Here, we address this question by analyzing mRNA and protein expression changes for housekeeping genes across 20 mouse tissues. We find that a large proportion of mRNA coexpression is indeed non-functional and does not lead to coexpressed proteins. Chromosomal proximity of genes explains a proportion of this nonfunctional mRNA coexpression. However, the main driver of non-functional mRNA coexpression across mouse tissues is epigenetic similarity. Both factors together provide an explanation for why monitoring protein coexpression outperforms mRNA coexpression data in gene function prediction. Furthermore, this suggests that housekeeping genes translocating during evolution within genomic subcompartments might maintain their broad expression pattern.
机译:基因通常与它们的基因组邻居共表达,即使它们在功能上无关。对于由相同细胞类型内的遗传变异驱动的小表达变化,非功能性mRNA共表达不会传播到蛋白质水平。但是,尚不清楚蛋白水平是否也能抵抗基因表达程序中较大的,调控的变化(例如细胞分化过程中发生的变化)伴随的任何非功能性mRNA共表达。在这里,我们通过分析20个小鼠组织中管家基因的mRNA和蛋白质表达变化来解决这个问题。我们发现,mRNA共表达的很大一部分确实是无功能的,不会导致蛋白的共表达。基因的染色体接近性解释了这种无功能的mRNA共表达的一部分。但是,整个小鼠组织中非功能性mRNA共表达的主要驱动力是表观遗传相似性。这两个因素共同为为什么在基因功能预测中监测蛋白质共表达优于mRNA共表达数据提供了解释。此外,这表明管家基因在进化过程中在基因组小室中移位可能会维持其广泛的表达模式。

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