Genome biologyMolecular BiologyPeer-reviewed journal article
Differential regulation of mRNA fate by the human Ccr4-Not complex is driven by CDS composition and mRNA localisation
Sarah L. GilleniD, Chiara GiacomelliiD, Kelly Hodge, Sara R. ZanivaniD, Martin BushelliD, Ania WilczynskaiD
Abstract
BackgroundRegulation of protein output at the level of translation allows for a rapid adaptation to dynamic changes to the cells requirements. This precise control of gene expression is achieved by complex and interlinked biochemical processes that modulate both the protein synthesis rate and stability of each individual mRNA. A major factor coordinating this regulation is the Ccr4-Not complex. Despite playing a role in most stages of the mRNA life cycle, no attempt has been made to take a global integrated view of how the Ccr4-Not complex affects gene expression. ResultsThis study has taken a comprehensive approach to investigate post-transcriptional regulation mediated by the Ccr4-Not complex assessing steady-state mRNA levels, ribosome position, mRNA stability and protein production transcriptome-wide. Depletion of the scaffold protein CNOT1 results in a global upregulation of mRNA stability and the preferential stabilisation of mRNAs enriched for G/C-ending codons. We also uncover that mRNAs targeted to the ER for their translation have reduced translational efficiency when CNOT1 is depleted, specifically downstream of the signal sequence cleavage site. In contrast, translationally upregulated mRNAs are normally localised in p-bodies, contain disorder-promoting amino acids and encode nuclear localised proteins. Finally, we identify ribosome pause sites that are resolved or induced by the depletion of CNOT1. ConclusionWe define the key mRNA features that determine how the human Ccr4-Not complex differentially regulates mRNA fate and protein synthesis through a mechanism linked to codon composition, amino acid usage, and mRNA localisation.
- organism: human
- assay: bulk RNA-seq
- research focus: differential expression
- approach: statistical model
- Citations
- 33
- FWCI
- 1.80
- Field percentile
- top 13%
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