Global variability in gene expression and alternative splicing is modulated by mitochondrial content

被引:90
|
作者
Guantes, Raul [1 ,2 ]
Rastrojo, Alberto [3 ]
Neves, Ricardo [4 ]
Lima, Ana [5 ]
Aguado, Begona [3 ]
Iborra, Francisco J. [4 ,6 ]
机构
[1] Univ Autonoma Madrid, Mat Sci Inst Nicolas Cabrera, Dept Condensed Matter Phys, E-28049 Madrid, Spain
[2] Univ Autonoma Madrid, Inst Condensed Matter Phys, IFIMAC, E-28049 Madrid, Spain
[3] CSIC UAM, Ctr Biol Mol Severo Ochoa, Madrid 28049, Spain
[4] Univ Oxford, John Radcliffe Hosp, Weatherall Inst Mol Med, MRC Mol Haematol Unit, Oxford OX3 9DS, England
[5] Ctr Innovat Biotechnol, Biocant, Ctr Neurosci & Cell Biol, UC Biotech, P-3060197 Cantanhede, Portugal
[6] CSIC, Ctr Nacl Biotecnol, E-28049 Madrid, Spain
基金
英国医学研究理事会;
关键词
RNA-POLYMERASE-II; PRE-MESSENGER-RNA; TO-CELL VARIABILITY; TRANSCRIPTION; CHROMATIN; REVEALS; ORIGINS; QUANTIFICATION; HETEROGENEITY; CONSEQUENCES;
D O I
10.1101/gr.178426.114
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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 similar to 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.
引用
收藏
页码:633 / 644
页数:12
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