Guantes Raul, Rastrojo Alberto, Neves Ricardo, Lima Ana, Aguado Begoña, Iborra Francisco J
Department of Condensed Matter Physics, Materials Science Institute "Nicolás Cabrera" and Institute of Condensed Matter Physics (IFIMAC), Universidad Autónoma de Madrid, Campus de Cantoblanco, 28049 Madrid, Spain;
Centro Biología Molecular "Severo Ochoa," CSIC-UAM, Campus de Cantoblanco, 28049 Madrid, Spain;
Genome Res. 2015 May;25(5):633-44. doi: 10.1101/gr.178426.114. Epub 2015 Mar 23.
Noise in gene expression is a main determinant of phenotypic variability. Increasing experimental evidence suggests that genome-wide cellular constraints largely contribute to the heterogeneity observed in gene products. It is still unclear, however, which global factors affect gene expression noise and to what extent. Since eukaryotic gene expression is an energy demanding process, differences in the energy budget of each cell could determine gene expression differences. Here, we quantify the contribution of mitochondrial variability (a natural source of ATP variation) to global variability in gene expression. We find that changes in mitochondrial content can account for ∼50% of the variability observed in protein levels. This is the combined result of the effect of mitochondria dosage on transcription and translation apparatus content and activities. Moreover, we find that mitochondrial levels have a large impact on alternative splicing, thus modulating both the abundance and type of mRNAs. A simple mathematical model in which mitochondrial content simultaneously affects transcription rate and splicing site choice can explain the alternative splicing data. The results of this study show that mitochondrial content (and/or probably function) influences mRNA abundance, translation, and alternative splicing, which ultimately affects cellular phenotype.
基因表达中的噪声是表型变异性的主要决定因素。越来越多的实验证据表明,全基因组范围的细胞限制在很大程度上导致了在基因产物中观察到的异质性。然而,目前仍不清楚哪些全局因素会影响基因表达噪声以及影响程度如何。由于真核基因表达是一个耗能过程,每个细胞能量预算的差异可能决定基因表达的差异。在此,我们量化线粒体变异性(ATP 变异的一个自然来源)对基因表达全局变异性的贡献。我们发现线粒体含量的变化可解释在蛋白质水平观察到的约 50%的变异性。这是线粒体剂量对转录和翻译装置含量及活性影响的综合结果。此外,我们发现线粒体水平对可变剪接有很大影响,从而调节 mRNA 的丰度和类型。一个线粒体含量同时影响转录速率和剪接位点选择的简单数学模型可以解释可变剪接数据。这项研究的结果表明,线粒体含量(和/或可能的功能)影响 mRNA 丰度、翻译和可变剪接,最终影响细胞表型。