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Journal Article

Cis-regulatory elements explain most of the mRNA stability variation across genes in yeast.

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Maier,  K. C.
Department of Molecular Biology, MPI for Biophysical Chemistry, Max Planck Society;

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2492724.pdf
(Publisher version), 5MB

Supplementary Material (public)

2492724_Suppl_1.pdf
(Supplementary material), 4MB

2492724_Suppl_2.docx
(Supplementary material), 120KB

2492724_Suppl_3.xlsx
(Supplementary material), 10KB

2492724_Suppl_4.xlsx
(Supplementary material), 10KB

2492724_Suppl_5.xlsx
(Supplementary material), 11KB

2492724_Suppl_6.xlsx
(Supplementary material), 44KB

2492724_Suppl_7.xlsx
(Supplementary material), 281KB

2492724_Suppl_8.xlsx
(Supplementary material), 510KB

2492724_Suppl_9.xlsx
(Supplementary material), 12KB

Citation

Cheng, J., Maier, K. C., Avsec, Z., Rus, P., & Gagneur, J. (2017). Cis-regulatory elements explain most of the mRNA stability variation across genes in yeast. RNA, 23(11), 1648-1659. doi:10.1261/rna.062224.117.


Cite as: https://hdl.handle.net/11858/00-001M-0000-002E-18FC-3
Abstract
The stability of mRNA is one of the major determinants of gene expression. Although a wealth of sequence elements regulating mRNA stability has been described, their quantitative contributions to half-life are unknown. Here, we built a quantitative model for Saccharomyces cerevisiae based on functional mRNA sequence features that explains 59% of the half-life variation between genes and predicts half-life at a median relative error of 30%. The model revealed a new destabilizing 3' UTR motif, ATATTC, which we functionally validated. Codon usage proves to be the major determinant of mRNA stability. Nonetheless, single-nucleotide variations have the largest effect when occurring on 3' UTR motifs or upstream AUGs. Analyzing mRNA half-life data of 34 knockout strains showed that the effect of codon usage not only requires functional decapping and deadenylation, but also the 5'-to-3' exonuclease Xrn1, the nonsense-mediated decay genes, but not no-go decay. Altogether, this study quantitatively delineates the contributions of mRNA sequence features on stability in yeast, reveals their functional dependencies on degradation pathways, and allows accurate prediction of half-life from mRNA sequence.