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Quantification and discovery of sequence determinants of protein‐per‐mRNA amount in 29 human tissues

Authors :
Basak Eraslan
Dongxue Wang
Mirjana Gusic
Holger Prokisch
Björn M Hallström
Mathias Uhlén
Anna Asplund
Frederik Pontén
Thomas Wieland
Thomas Hopf
Hannes Hahne
Bernhard Kuster
Julien Gagneur
Source :
Molecular Systems Biology, Vol 15, Iss 2, Pp 1-25 (2019)
Publication Year :
2019
Publisher :
Springer Nature, 2019.

Abstract

Abstract Despite their importance in determining protein abundance, a comprehensive catalogue of sequence features controlling protein‐to‐mRNA (PTR) ratios and a quantification of their effects are still lacking. Here, we quantified PTR ratios for 11,575 proteins across 29 human tissues using matched transcriptomes and proteomes. We estimated by regression the contribution of known sequence determinants of protein synthesis and degradation in addition to 45 mRNA and 3 protein sequence motifs that we found by association testing. While PTR ratios span more than 2 orders of magnitude, our integrative model predicts PTR ratios at a median precision of 3.2‐fold. A reporter assay provided functional support for two novel UTR motifs, and an immobilized mRNA affinity competition‐binding assay identified motif‐specific bound proteins for one motif. Moreover, our integrative model led to a new metric of codon optimality that captures the effects of codon frequency on protein synthesis and degradation. Altogether, this study shows that a large fraction of PTR ratio variation in human tissues can be predicted from sequence, and it identifies many new candidate post‐transcriptional regulatory elements.

Details

Language :
English
ISSN :
17444292
Volume :
15
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Molecular Systems Biology
Publication Type :
Academic Journal
Accession number :
edsdoj.19bbe0271ae4aadb03af672401fd357
Document Type :
article
Full Text :
https://doi.org/10.15252/msb.20188513