Laboratory of Translational Genomics, Centre for Integrative Biology, University of Trento, 38123 Trento, Italy.
BMC Genomics. 2012 Jun 6;13:220. doi: 10.1186/1471-2164-13-220.
The classical view on eukaryotic gene expression proposes the scheme of a forward flow for which fluctuations in mRNA levels upon a stimulus contribute to determine variations in mRNA availability for translation. Here we address this issue by simultaneously profiling with microarrays the total mRNAs (the transcriptome) and the polysome-associated mRNAs (the translatome) after EGF treatment of human cells, and extending the analysis to other 19 different transcriptome/translatome comparisons in mammalian cells following different stimuli or undergoing cell programs.
Triggering of the EGF pathway results in an early induction of transcriptome and translatome changes, but 90% of the significant variation is limited to the translatome and the degree of concordant changes is less than 5%. The survey of other 19 different transcriptome/translatome comparisons shows that extensive uncoupling is a general rule, in terms of both RNA movements and inferred cell activities, with a strong tendency of translation-related genes to be controlled purely at the translational level. By different statistical approaches, we finally provide evidence of the lack of dependence between changes at the transcriptome and translatome levels.
We propose a model of diffused independency between variation in transcript abundances and variation in their engagement on polysomes, which implies the existence of specific mechanisms to couple these two ways of regulating gene expression.
真核生物基因表达的经典观点提出了一个正向流动的方案,其中 mRNA 水平在刺激后的波动有助于确定 mRNA 对翻译的可用性的变化。在这里,我们通过同时用微阵列分析人细胞接受 EGF 处理后总 mRNA(转录组)和多核糖体相关 mRNA(翻译组),并将分析扩展到哺乳动物细胞中其他 19 种不同的转录组/翻译组比较,以解决这个问题,这些比较涉及不同的刺激或经历细胞程序。
EGF 途径的触发导致转录组和翻译组变化的早期诱导,但 90%的显著变化仅限于翻译组,并且一致变化的程度小于 5%。对其他 19 种不同转录组/翻译组比较的调查表明,广泛的解耦是一个普遍的规则,无论是在 RNA 运动还是推断的细胞活动方面,都存在翻译相关基因纯粹在翻译水平上受到控制的强烈趋势。通过不同的统计方法,我们最终提供了转录组和翻译组水平变化之间缺乏依赖性的证据。
我们提出了一个转录本丰度变化和它们在多核糖体上的结合变化之间扩散独立性的模型,这意味着存在特定的机制来连接这两种调节基因表达的方式。