Coupled evolution of transcription and mRNA degradation.
Ontology highlight
ABSTRACT:
ORGANISM(S): Saccharomyces cerevisiae Saccharomyces cerevisiae x Saccharomyces paradoxus Saccharomyces paradoxus
PROVIDER: GSE28849 | GEO | 2011/08/01
SECONDARY ACCESSION(S): PRJNA140675
REPOSITORIES: GEO
Similar Datasets
Project description:We measured mRNA levels of two yeast species (S.cerevisiae and S.paradoxus) and their hybrid, at four time-points (0, 20min, 40min, 60min) following transcription arrest using 1,10-Phenantroline (150ug/ml). This data was used to infer mRNA degradation rates of orthologous genes, study the divergence of mRNA degradation rates and the contribution of cis and trans mutations. For each of the two biological repeats and each of the four time point, poly(A) mRNAs of the two species was pooled and labeled with cy3 while hybrid poly(A) mRNA was labeled with cy5 and these were hybridized to our custom two-species microarray (Agilent) with four subarrays.
2011-07-31 | E-GEOD-28849 | biostudies-arrayexpress
Project description:Coupled evolution of transcription and mRNA degradation.
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2011-08-30 | E-GEOD-24391 | biostudies-arrayexpress
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2011-08-03 | GSE31140 | GEO
Project description:Transcriptional responses to stimuli are regulated by tuning rates of transcript production and degradation. Here we show that stimulation-induced changes in transcript production and degradation rates can be inferred from simultaneously measured precursor mRNA (pre-mRNA) and mature mRNA profiles. Our studies on the transcriptome-wide responses to extracellular stimuli in different cellular model systems revealed hitherto unanticipated dynamics of transcript production and degradation rates. Intriguingly, genes with similar mRNA profiles often exhibit marked differences in the amplitude and onset of their production. Moreover, we identify a group of genes, which take advantage of the unexpectedly large dynamic range of production rates to expedite their induction by a transient production overshoot. These findings provide an unprecedented quantitative view on processes governing transcriptional responses, and may have broad implications for understanding their regulation at the transcriptional and post-transcriptional levels.
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Project description:Naïve T cells of Mettl3 KO and WT were pulse labeled by s4U for 15 min before and after IL-7 stimulation for 15min/30min/45min/60min/75min/90min. The total input RNAs or s4U nascent RNAs were isolated and prepared for next-generation sequencing. The RNA response to IL-7 and RNA decay rates were then modeled and calculated, to infer the m6A/Mettl3 effects.
2017-08-17 | GSE100278 | GEO
Project description:Nascent mRNA is endowed with a poly(A) tail, which is subject to gradual deadenylation in the cytoplasm, followed by mRNA degradation. Deadenylation and degradation rates are typically correlated, rendering it difficult to dissect the individual determinants governing each of these processes. In addition, the mechanistic basis for the coupling between deadenylation and degradation and the extent to which the two can be decoupled are largely unknown. Here we developed an approach allowing systematic, robust and multiplexed quantification of poly(A) tails. Our results suggest that in yeast, exclusively during meiosis, mRNA deadenylation and degradation rates are decoupled. The decoupled regime in meiosis allowed us to discover transcript length as a major determinant of deadenylation rates and as a key contributor to the reshaping of poly(A) tail lengths in meiosis. The meiosis-specific decoupling also led to unique positive associations between poly(A) tail length and gene expression. The decoupling of degradation from deadenylation is also strongly associated with a focal localization pattern of the RNA degradation factor Xrn1 and can be phenocopied by deletion of Xrn1 under non-meiotic conditions. Importantly, the association of transcript length with deadenylation rates is conserved across eukaryotes. This study uncovers a new factor that shapes deadenylation rate and discovers a unique context in which degradation is decoupled from deadenylation.
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Project description:The rates of mRNA synthesis and degradation determine cellular mRNA levels and can be monitored by comparative Dynamic Transcriptome Analysis (cDTA) that uses non-perturbing metabolic RNA labeling. Here we present cDTA data for 46 yeast strains lacking genes involved in mRNA degradation and metabolism. In these strains, changes in mRNA degradation rates are generally compensated by changes in mRNA synthesis rates, resulting in a buffering of mRNA levels. We show that buffering of mRNA levels requires the RNA exonuclease Xrn1. The buffering is rapidly established when mRNA synthesis is impaired, but is delayed when mRNA degradation is impaired, apparently due to Xrn1-dependent transcription repressor induction. Cluster analysis of the data defines the general mRNA degradation machinery, reveals different substrate preferences for the two mRNA deadenylase complexes Ccr4-Not and Pan2-Pan3, and unveils an interwoven cellular mRNA surveillance network. For this purpose, cDTA was carried out as described in Sun et.al. Genome Res. 2012 (DOI:10.1101/gr.130161.111). S. cerevisiae cultures were grown at 30¡ãC in 50 ml aliquots of YPD medium. S. pombe cultures were grown at 32¡ãC in YES medium. For inhibitor perturbation, BY4741 cells (OD600=0.1) were inoculated from a saturated overnight culture in two 100 ml aliquots of YPD liquid medium, incubated at 30¡ãC and grown to early-log phase (OD600=0.8). Cells were labeled for 6 minutes (sample 0 min). Then cycloheximide was added and cells were labeled for 10 minutes and 60 minutes. Cells were harvested and treated as described in Sun et.al. Genome Res. 2012 (DOI:10.1101/gr.130161.111). 1,10-Phenanthroline was added to the culture to a final concentration of 25 _g/ml as described (Dori-Bachash et al., 2012), and labeled for 6 minutes after 18 minutes treatment. Cells were treated as above. For the anchor-away analysis, S. cerevisiae cells (OD600=0.1) were cultured in two 200 ml aliquots of YPD containing 1_g/ml rapamycin and incubated at 30¡ãC untill OD600 reached 0.8. Due to the instability of rapamycin, we added 1_g/ml rapamycin every two hours. Then a 20 ml sample was taken and labeled with 4sU. The cells were then treated as described in Sun et.al. Genome Res. 2012 (DOI:10.1101/gr.130161.111).
2013-10-18 | E-MTAB-1525 | biostudies-arrayexpress
Project description:Erk regulated mRNA degradation
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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 We analyzed proliferating C2C12 cells and C2C12 cells differentiated into myotubes by serum starvation (8 days after induction of differentiation). We analyzed 7 time points after addition of actionmycin D (0, 10, 20, 30, 60, 150, 480 minutes). There were two biological replicates per condition.
2010-09-22 | E-GEOD-14387 | biostudies-arrayexpress