The mRNA Binding Proteome of Proliferating and Differentiated Muscle Cells.
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ABSTRACT:
SUBMITTER: Hiller M
PROVIDER: S-EPMC8242265 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Steady-state RNA levels are a result of RNA synthesis and degradation. The importance of transcription-factor mediated induction or repression of mRNA synthesis is well established, but the role and mechanisms of RNA degradation are less well understood. We globally evaluated the RNA decay rates in proliferating and differentiated mouse myoblasts on whole-genome Affymetrix exon arrays, allowing for the assessment of directionality of RNA degradation and the detection of splice variant-specific differences in RNA decay rates. We found large differences in decay rates. mRNAs coding for proteins involved in signal transduction and transcriptional regulation have shortest half lives, whereas mRNAs coding for DNA replication enzymes and muscle contraction proteins are among the most stable. Many genes differentially expressed between proliferating and differentiated myoblasts demonstrate major differences in RNA decay rates. Quantitative PCR experiments confirmed the higher stability of transcripts with increased expression levels. RNA degradation has no apparent preferential directionality. RNA degradation appears to affect the ratio of different splice variants. For example, Itga7 isoforms with higher abundance in differentiated than in proliferating cells are more stable in differentiated cells, despite the sharing of a common 3’ untranslated region. Thus, where it was previously thought that the abundance of different splice isoforms was mainly controlled by tissue-specific splicing factors, we now demonstrate that isoforms may be produced at comparable levels but degraded with different efficiencies, depending on the differentiation status of the cells. Our results indicate that control of RNA degradation rates contributes significantly to the differentiation stage-dependent differences in abundance of transcripts and splice variants. Keywords: total RNA expression profiling; cultured cells
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