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Quantification and discovery of sequence determinants of protein‐per‐mRNA amount in 29 human tissues
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 transcr...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6379048/ https://www.ncbi.nlm.nih.gov/pubmed/30777893 http://dx.doi.org/10.15252/msb.20188513 |
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author | Eraslan, Basak Wang, Dongxue Gusic, Mirjana Prokisch, Holger Hallström, Björn M Uhlén, Mathias Asplund, Anna Pontén, Frederik Wieland, Thomas Hopf, Thomas Hahne, Hannes Kuster, Bernhard Gagneur, Julien |
author_facet | Eraslan, Basak Wang, Dongxue Gusic, Mirjana Prokisch, Holger Hallström, Björn M Uhlén, Mathias Asplund, Anna Pontén, Frederik Wieland, Thomas Hopf, Thomas Hahne, Hannes Kuster, Bernhard Gagneur, Julien |
author_sort | Eraslan, Basak |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6379048 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-63790482019-02-27 Quantification and discovery of sequence determinants of protein‐per‐mRNA amount in 29 human tissues Eraslan, Basak Wang, Dongxue Gusic, Mirjana Prokisch, Holger Hallström, Björn M Uhlén, Mathias Asplund, Anna Pontén, Frederik Wieland, Thomas Hopf, Thomas Hahne, Hannes Kuster, Bernhard Gagneur, Julien Mol Syst Biol Articles 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. John Wiley and Sons Inc. 2019-02-18 /pmc/articles/PMC6379048/ /pubmed/30777893 http://dx.doi.org/10.15252/msb.20188513 Text en © 2019 The Authors. Published under the terms of the CC BY 4.0 license This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Eraslan, Basak Wang, Dongxue Gusic, Mirjana Prokisch, Holger Hallström, Björn M Uhlén, Mathias Asplund, Anna Pontén, Frederik Wieland, Thomas Hopf, Thomas Hahne, Hannes Kuster, Bernhard Gagneur, Julien Quantification and discovery of sequence determinants of protein‐per‐mRNA amount in 29 human tissues |
title | Quantification and discovery of sequence determinants of protein‐per‐mRNA amount in 29 human tissues |
title_full | Quantification and discovery of sequence determinants of protein‐per‐mRNA amount in 29 human tissues |
title_fullStr | Quantification and discovery of sequence determinants of protein‐per‐mRNA amount in 29 human tissues |
title_full_unstemmed | Quantification and discovery of sequence determinants of protein‐per‐mRNA amount in 29 human tissues |
title_short | Quantification and discovery of sequence determinants of protein‐per‐mRNA amount in 29 human tissues |
title_sort | quantification and discovery of sequence determinants of protein‐per‐mrna amount in 29 human tissues |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6379048/ https://www.ncbi.nlm.nih.gov/pubmed/30777893 http://dx.doi.org/10.15252/msb.20188513 |
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