Journal
MOLECULAR SYSTEMS BIOLOGY
Volume 6, Issue -, Pages -Publisher
NATURE PUBLISHING GROUP
DOI: 10.1038/msb.2010.59
Keywords
gene expression regulation; protein degradation; protein stability; translation
Categories
Funding
- Children's Cancer Research Institute
- NIH [GM076536, GM67779, GM088624]
- NIH/NINDS [NS60658]
- NSF [0640923]
- Welch Foundation [F-1515]
- Tengg Foundation
- Packard Foundation
- International Human Frontier Science Program
- NIH, National Cancer Institute, Center for Cancer Research
- Div Of Biological Infrastructure
- Direct For Biological Sciences [0640923] Funding Source: National Science Foundation
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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 50 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. Molecular Systems Biology 6: 400; published online 24 August 2010; doi:10.1038/msb.2010.59 Subject Categories: bioinformatics; functional genomics
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