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Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Genomic Run On (GRO): determination of the nascent transcriptional rates in a series of a mex67 mutant.

ABSTRACT: The goal of the project was to check the effect on transcription rate of a sudden depletion of Mex67 protein by using a thermosensitive mutant: mex67-5 Cells were grown in YPD at 26ÂºC to 0.5 OD600. At that time cells were shifted to 37ÂºC to induce Mex67 protein inactivation and recovered after, 0, 5, 20, 40, 60 and 150 min.

ORGANISM(S): Saccharomyces cerevisiae S288c

SUBMITTER: Jose Perez-Ortin

PROVIDER: E-GEOD-65228 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Genomic Run On (GRO): determination of the nascent transcriptional rates and mRNA levels in several yeast mutants.

Project description:In order to maintain the appropriate level of mRNA it is necessary coordinate simultaneously all the steps along the mRNA life cycle. It has been shown that several factors act in the regulation of gene expression as global coordinators. Thus, some kind of information is transferred from the nucleus to the cytoplasm, imprinted in the mRNA. In this way, it is conceivable the existence of mechanisms that ensure the balance between mRNA synthesis and degradation through the information flow from the cytoplasm to the nucleus and vice versa, as a crosstalk among both process to ensure the proper mRNA homeostasis in the cell. In this study, we have used null mutants related with transcription and mRNA degradation and we find that the lack of those factors impacts both over transcription and RNA stability at genome wide levels to compensate the impaired effect produce by the loss of each studied factor. This study focus on the transcriptional activity of RNA pol II in yeast genes. S. cerevisiae cells grown in YPD or YPGal to exponential phase were subjected to Genomic Run On. Data were normalized by the ArrayStat software. Home-made macroarrays containing 6035 ORF were used.

2015-12-31 | E-GEOD-57467 | biostudies-arrayexpress

Genomic Run On (GRO): determination of the nascent transcriptional rates and mRNA levels in several yeast mutants (SAC3, SUS1, SRC1)

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2015-12-31 | E-GEOD-63769 | biostudies-arrayexpress

Genomic Run On (GRO): determination of the nascent transcriptional rates in a spt16 mutant

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2016-01-05 | E-GEOD-64006 | biostudies-arrayexpress

Genomic Run On (GRO): determination of the nascent transcriptional rates in a series of Hrp1 mutants.

Project description:The goal of the project was to check the differential effect on transcription rate of a sudden degron-induced depletion of Hpr1 protein and its comparison towards the effect of a constitutive absence of Hpr1 protein in a deletion strain. Cells were grown in YP-Raffinose + 0.1 mM CuSO4 at 26ÂºC to 0.5 OD600. At that cells were spun-down and changed to YP-Galactose without CuSO4 for 30 min at 26ÂºC. Then cells were shifted to 37ÂºC to induce degron-mediated proteolysis and recovered after 30 min. Samples include wt, hpr1delta and hpr1-degron after 0 or 30 min growth at 30ÂºC.

2015-12-31 | E-GEOD-65225 | biostudies-arrayexpress

Genomic Run On (GRO): determination of the nascent transcriptional rates and mRNA levels in several yeast mutants (PUB1 and NGR1)

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2015-12-31 | E-GEOD-63729 | biostudies-arrayexpress

Transcriptomic study in RNA pol II foot mutants

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2016-03-31 | E-GEOD-65283 | biostudies-arrayexpress

GRO analysis of rap1-sil, tpk1 & tpk2.

Project description:GRO (Genomic run-on) experiments with different mutants that affect to the accumulation of non active RNA pol II along the yeast genome. Keywords: Genomic run-on GRO There are 4 different strains: rap1-sil (without the silencing domain), RAP1(both from Graham I.R. et al 1999) and tpk1 & tpk2 mutants (Euroscarf). For each experiment there are GRO data (Transcription Rate) and gDNA data used for normalizing the GRO signals. The last number of the GRO filters correspond to the number of gDNA filters.There are 3 independent biological replicates of Rap1 and rap1-sil experiments and 2 for the tpk1 & tpk2 experiments.

2010-06-24 | E-GEOD-14080 | biostudies-arrayexpress

GRO analysis of topoisomerase mutants

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2010-06-24 | E-GEOD-16673 | biostudies-arrayexpress

Transcription rate analysis of W303 hog1 mutant strain subjected to osmotic stress

Project description:Transcription rate (TR) analysis of W303 hog1 mutant yeast strain growing in exponential phase in YPD subjected to osmotic stress Keywords: Time course Transcription rate analysis by means of GRO of three independent replicates the yeast strain growing in exponential phase. Each time point replicate has been hybridized on a different macroarray (F18-F24).

2010-06-19 | E-GEOD-13098 | biostudies-arrayexpress

Genomic Run-On (GRO): determination of the nascent transcriptional rate and mRNA amount in Xrn1 mutants

Project description:Maintaining the proper mRNA levels is a key aspect in the regulation of gene expression. The balance between mRNA synthesis and decay determines these levels. Using a whole-genome analysis, we demonstrate that most yeast mRNAs are degraded by the 5'-to-3' pathway (the "decaysome"), as proposed previously. Unexpectedly, the level of these mRNAs is highly robust to perturbations in this major pathway, as defects in various decaysome components lead to transcription down-regulation. Moreover, these components shuttle between the cytoplasm and the nucleus, in a manner dependent on proper mRNA degradation. In the nucleus, they associate with chromatin - preferentially ~30bp upstream of transcription start-sites - and directly stimulate transcription initiation and elongation. Hence, the decaysome has a dual role in maintaining mRNA levels. Significantly, proper import of some decaysome components seems to play a key role in coupling the two functions. The gene expression process is therefore circular, whereby the hitherto first and last stages are interconnected. This study focuses on the transcriptional activity of RNA pol II in 6035 S. cerevisiae ORFs. S. cerevisiae cells grown in YPD to exponential phase were subjected to Genomic Run-On. Data were normalized using gDNA hybridized on the same array and by the software ArrayStat. Home-made macroarrays containing 6035 ORFs were used.

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