Heterogeneous Ribosomes Preferentially Translate Distinct Subpools of mRNAs Genome-wide
| Autor: | Zhen Shi, Naomi R. Genuth, Mary N. Teruel, Kotaro Fujii, Maria Barna, Hannes L. Röst, Kyle M. Kovary |
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| Rok vydání: | 2016 |
| Předmět: |
0301 basic medicine
Ribosomal Proteins Biology Internal Ribosome Entry Sites Transfection Ribosome Cell Line 03 medical and health sciences 0302 clinical medicine Ribosomal protein Protein biosynthesis Animals Drosophila Proteins Gene Regulatory Networks Ribosome profiling Protein Interaction Maps RNA Messenger Molecular Biology Embryonic Stem Cells Genetics Gene Expression Profiling EIF4E Gene Expression Regulation Developmental Translation (biology) Cell Biology Cell biology Internal ribosome entry site 030104 developmental biology Drosophila melanogaster Protein Biosynthesis RNA Interference Eukaryotic Ribosome Transcriptome Ribosomes 030217 neurology & neurosurgery |
| Zdroj: | Molecular cell. 67(1) |
| ISSN: | 1097-4164 |
| Popis: | Emerging studies have linked the ribosome to more selective control of gene regulation. However, an outstanding question is whether ribosome heterogeneity at the level of core ribosomal proteins (RPs) exists and enables ribosomes to preferentially translate specific mRNAs genome-wide. Here, we measured the absolute abundance of RPs in translating ribosomes and profiled transcripts that are enriched or depleted from select subsets of ribosomes within embryonic stem cells. We find that heterogeneity in RP composition endows ribosomes with differential selectivity for translating subpools of transcripts, including those controlling metabolism, cell cycle, and development. As an example, mRNAs enriched in binding to RPL10A/uL1-containing ribosomes are shown to require RPL10A/uL1 for their efficient translation. Within several of these transcripts, this level of regulation is mediated, at least in part, by internal ribosome entry sites. Together, these results reveal a critical functional link between ribosome heterogeneity and the post-transcriptional circuitry of gene expression. |
| Databáze: | OpenAIRE |
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