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Oct4GiP Reporter Assay to Study Genes that Regulate Mouse Embryonic Stem Cell Maintenance and Self-renewal
Published on: May 30, 2012
Embryonic Stem Cells Exhibit mRNA Isoform Specific Translational Regulation
Queenie Wing-Lei Wong1, Candida Vaz2, Qian Yi Lee2
1Institute of Medical Biology, A*STAR, 8A Biomedical Grove, Immunos, 138648, Singapore, Singapore.
mRNA variants exhibit distinct translation rates in stem cells, influenced by UTRs and regulatory elements. This finding emphasizes considering translation efficiency for accurate protein abundance measurements.
Area of Science:
- Molecular Biology
- Genetics
- Cell Biology
Background:
- Alternative mRNA splicing generates multiple variants, contributing significantly to protein diversity.
- Cell-type specific processing of mRNA variants critically impacts gene expression control.
Purpose of the Study:
- To investigate differential translation rates of mRNA variants in embryonic stem cells (ESCs) and Neural Precursor Cells (NPCs).
- To explore the role of Untranslated Regions (UTRs) in regulating variant-specific translation.
- To assess the presence and translational activity of non-coding RNAs.
Main Methods:
- Polysome profiling coupled with RNA sequencing (RNA-seq) was employed.
- Analysis focused on distinguishing translation rates of individual mRNA variants.
- ESC and NPC samples were utilized to examine cell-type specific differences.
Main Results:
- A substantial number of detectable mRNA variants were identified in both ESCs and NPCs.
- Many mRNA variants displayed variant-specific translation rates.
- Differences in UTRs, particularly the 5'UTR, were correlated with translation rate variations.
- Annotated non-coding mRNAs were found to be present in polysome fractions.
Conclusions:
- mRNA variants with alternative UTRs are subject to distinct post-transcriptional controls, likely involving miRNA and protein binding sites.
- Translation rate is a crucial factor to consider when inferring protein abundance from mRNA levels.
- Polysome profiling coupled with RNA-seq is a valuable method for analyzing the translational state of diverse RNAs.
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