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Sequence signatures and mRNA concentration can explain two-thirds of protein abundance variation in a human cell line

Transcription, mRNA decay, translation and protein degradation are essential processes during eukaryotic gene expression, but their relative global contributions to steady-state protein concentrations in multi-cellular eukaryotes are largely unknown. Using measurements of absolute protein and mRNA a...

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Autores principales: Vogel, Christine, de Sousa Abreu, Raquel, Ko, Daijin, Le, Shu-Yun, Shapiro, Bruce A, Burns, Suzanne C, Sandhu, Devraj, Boutz, Daniel R, Marcotte, Edward M, Penalva, Luiz O
Formato: Texto
Lenguaje:English
Publicado: European Molecular Biology Organization 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2947365/
https://www.ncbi.nlm.nih.gov/pubmed/20739923
http://dx.doi.org/10.1038/msb.2010.59
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author Vogel, Christine
de Sousa Abreu, Raquel
Ko, Daijin
Le, Shu-Yun
Shapiro, Bruce A
Burns, Suzanne C
Sandhu, Devraj
Boutz, Daniel R
Marcotte, Edward M
Penalva, Luiz O
author_facet Vogel, Christine
de Sousa Abreu, Raquel
Ko, Daijin
Le, Shu-Yun
Shapiro, Bruce A
Burns, Suzanne C
Sandhu, Devraj
Boutz, Daniel R
Marcotte, Edward M
Penalva, Luiz O
author_sort Vogel, Christine
collection PubMed
description Transcription, mRNA decay, translation and protein degradation are essential processes during eukaryotic gene expression, but their relative global contributions to steady-state protein concentrations in multi-cellular eukaryotes are largely unknown. Using measurements of absolute protein and mRNA abundances in cellular lysate from the human Daoy medulloblastoma cell line, we quantitatively evaluate the impact of mRNA concentration and sequence features implicated in translation and protein degradation on protein expression. Sequence features related to translation and protein degradation have an impact similar to that of mRNA abundance, and their combined contribution explains two-thirds of protein abundance variation. mRNA sequence lengths, amino-acid properties, upstream open reading frames and secondary structures in the 5′ untranslated region (UTR) were the strongest individual correlates of protein concentrations. In a combined model, characteristics of the coding region and the 3′UTR explained a larger proportion of protein abundance variation than characteristics of the 5′UTR. The absolute protein and mRNA concentration measurements for >1000 human genes described here represent one of the largest datasets currently available, and reveal both general trends and specific examples of post-transcriptional regulation.
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spelling pubmed-29473652010-10-05 Sequence signatures and mRNA concentration can explain two-thirds of protein abundance variation in a human cell line Vogel, Christine de Sousa Abreu, Raquel Ko, Daijin Le, Shu-Yun Shapiro, Bruce A Burns, Suzanne C Sandhu, Devraj Boutz, Daniel R Marcotte, Edward M Penalva, Luiz O Mol Syst Biol Article Transcription, mRNA decay, translation and protein degradation are essential processes during eukaryotic gene expression, but their relative global contributions to steady-state protein concentrations in multi-cellular eukaryotes are largely unknown. Using measurements of absolute protein and mRNA abundances in cellular lysate from the human Daoy medulloblastoma cell line, we quantitatively evaluate the impact of mRNA concentration and sequence features implicated in translation and protein degradation on protein expression. Sequence features related to translation and protein degradation have an impact similar to that of mRNA abundance, and their combined contribution explains two-thirds of protein abundance variation. mRNA sequence lengths, amino-acid properties, upstream open reading frames and secondary structures in the 5′ untranslated region (UTR) were the strongest individual correlates of protein concentrations. In a combined model, characteristics of the coding region and the 3′UTR explained a larger proportion of protein abundance variation than characteristics of the 5′UTR. The absolute protein and mRNA concentration measurements for >1000 human genes described here represent one of the largest datasets currently available, and reveal both general trends and specific examples of post-transcriptional regulation. European Molecular Biology Organization 2010-08-24 /pmc/articles/PMC2947365/ /pubmed/20739923 http://dx.doi.org/10.1038/msb.2010.59 Text en Copyright © 2010, EMBO and Macmillan Publishers Limited https://creativecommons.org/licenses/by-nc-sa/3.0/This is an open-access article distributed under the terms of the Creative Commons Attribution Noncommercial Share Alike 3.0 Unported License, which allows readers to alter, transform, or build upon the article and then distribute the resulting work under the same or similar license to this one. The work must be attributed back to the original author and commercial use is not permitted without specific permission.
spellingShingle Article
Vogel, Christine
de Sousa Abreu, Raquel
Ko, Daijin
Le, Shu-Yun
Shapiro, Bruce A
Burns, Suzanne C
Sandhu, Devraj
Boutz, Daniel R
Marcotte, Edward M
Penalva, Luiz O
Sequence signatures and mRNA concentration can explain two-thirds of protein abundance variation in a human cell line
title Sequence signatures and mRNA concentration can explain two-thirds of protein abundance variation in a human cell line
title_full Sequence signatures and mRNA concentration can explain two-thirds of protein abundance variation in a human cell line
title_fullStr Sequence signatures and mRNA concentration can explain two-thirds of protein abundance variation in a human cell line
title_full_unstemmed Sequence signatures and mRNA concentration can explain two-thirds of protein abundance variation in a human cell line
title_short Sequence signatures and mRNA concentration can explain two-thirds of protein abundance variation in a human cell line
title_sort sequence signatures and mrna concentration can explain two-thirds of protein abundance variation in a human cell line
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2947365/
https://www.ncbi.nlm.nih.gov/pubmed/20739923
http://dx.doi.org/10.1038/msb.2010.59
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