Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

E-MTAB-7090

ABSTRACT: Global gene expression analysis of H4T80A mutants vs WT H4 in Saccharomyces cerevisiae

PROVIDER: E-MTAB-7090 | ExpressionAtlas | 2018-09-17

REPOSITORIES: ExpressionAtlas

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	E-MTAB-7090-analysis-methods.tsv	Tabular
	E-MTAB-7090-analytics.tsv	Tabular
	E-MTAB-7090-atlasExperimentSummary.Rdata	Rdata
	E-MTAB-7090-configuration.xml	Xml
	E-MTAB-7090-g2_g1-mvaPlot.png	Other

Items per page:

1 - 5 of 22

Similar Datasets

Global gene expression analysis of H4T80A mutants vs WT H4 in Saccharomyces cerevisiae

Project description:Global RNA-seq gene expression analysis of H4T80A mutants vs WT H4 in Saccharomyces cerevisiae.

2018-09-05 | E-MTAB-7090 | biostudies-arrayexpress

Global gene expression analysis of H4T80A mutants vs WT H4 in Saccharomyces cerevisiae

Project description:Global gene expression analysis of H4T80A mutants vs WT H4 in Saccharomyces cerevisiae

| PRJEB27986 | ENA

Expression data from SSG1 long-lived mutant

Project description:The SSG1-1 mutation was an allele of the YHR032W gene in Saccharomyces cerevisiae. The SSG1-1 mutants contained higher levels of AdoMet than wild type (WT). SSG1-1 single mutants were shown to have a long lifespan, suggesting that the Ssg1-1 protein might have a role in longevity. We used microarrays to compare the global gene expression profiles between the wild type and SSG1-1 mutants under normal growth condition.

2016-10-04 | GSE76206 | GEO

yeast wt pool - plate reader

Project description:Contains a collection of wildtype Saccharomyces cerevisiae strains for estimating the biological variation. Wildtypes are obtained from the yeast wildtypes – platereader, wt pool background set HybSet, by randomly taking 100 wt vs. refpool (pooled wts) and 100 refpool vs. wt hybridizations

2012-11-14 | GSE42217 | GEO

yeast wt pool

Project description:Contains a collection of wildtype Saccharomyces cerevisiae strains for estimating the biological variation. Wildtypes are obtained from the yeast wildtypes - wt pool background set HybSet, by randomly taking 100 wt vs. refpool (pooled wts) and 100 refpool vs. wt hybridizations

2012-11-14 | GSE42215 | GEO

Expression analysis of fast-fermenting high-gravity maltose Saccharomyces cerevisiae Y55 mutants

Project description:Investigation of whole genome gene expression level changes in three S. cerevisiae Y55 mutants, compared to the wild-type strain. The UV-induced mutations enable the mutant strains to ferment high-gravity maltose faster than the WT. The mutants analyzed in this study are further described in Baerends, R.J.S., J.L. Qiu, L. Gautier, and A. Brandt. A high-throughput system for screening of fast-fermenting Saccharomyces cerevisiae strains. Manuscript in preparation.

2013-10-25 | GSE25015 | GEO

The role of the Hog1 and Slt2 MAP Kinases in the regulation of Saccharomyces cerevisiae gene expression upon stress by sulfuric acid

Project description:In our previous work, we had found that Saccharomyces cerevisiae needs of the Hog1 and Slt2 proteins to growth in a low pH environment caused by sulfuric acid, one of the stress factors during the process of ethanol production. Then was performed the gene-wide expression analysis in the hog1∆ and slt2∆ mutants in order to reveal the function of the Hog1p and Slt2p MAP Kinases in the regulation of S. cerevisiae global gene expression upon stress by sulfuric acid.

2013-10-18 | GSE51353 | GEO

Interaction dynamics determine signaling and output pathway responses

Project description:Study of the response to the osmotic shock and its effect on gene expression regulation in different strains of Saccharomyces cerevisiae (WT and Sln1/Ypd1 mutants). The cells received a sodium chloride stimulation (NaCl 0.4M), and were sampled at the time of stimulation (0 min) and in 10 and 20 minutes after the stimulation.

2017-04-04 | GSE94495 | GEO

S. cerevisiae TAF5 and taf5 temperature conditional mutants grown at permissive and non-permissive temperature

Project description:Expression analysis of Saccharomyces cerevisiae TAF5 and taf5 temperature conditional mutants grown at permissive and non-permissive temperature. Investigation of whole genome gene expression level changes in Saccharomyces cerevisae taf5-17, taf5-45, taf5-408 and taf5-10.4 mutants, compared to the wild-type strain. The mutations engineered into the strains confer temperature conditional growth. The mutants analyzed in this study are further described in Layer et. al., 2010. Direct Transactivator-Transcription Factor IID (TFIID) Contacts Drive Yeast Ribosomal Protein Gene Transcription. Journal of Biological Chemistry.

2010-03-06 | GSE20444 | GEO

Targeted proteome analysis of the central carbon metabolism related enzymes in S. cerevisiae mutant strains

Project description:Expression profiles of 110 the central metabolism-related enzymes were obtained by the selected reaction monitoring (SRM) assay methods using LC-MS/MS from the wild type (BY4742), a GCR2 gene deletion strain, and 29 single-gene deletion strains lacking enzyme genes responsible for central carbon metabolism (including CIT1, ENO1, FBP1, GCR2, GND1, GPD1, GPM2, HOR2, HXK1, HXK2, IDH1, IDH2, IDP1, LPD1, MAE1, MDH1, MDH2, PDA1, PDC1, PFK1, PYC2, RPE1, TAL1, TDH1, TDH2, TDH3, TKL1, TPS1, TPS2, and ZWF1 genes). The central carbon metabolism is strictly controlled by modulation of enzyme expressions to maintain an essential system of living organisms. In this study, metabolic safety mechanisms in the model organism, Saccharomyces cerevisiae, were investigated by direct determination of enzyme expression levels. Targeted proteome analysis of 31 S. cerevisiae wild type and mutant strains revealed that at least 30% of the observed variations in enzyme expression levels could be explained by global regulatory mechanisms. Co-expression analysis revealed that expression levels of enzymes involved in trehalose metabolism and glycolysis changed in a coordinated manner under the control of the transcription factors for global regulation.

2017-03-22 | PXD004714 | JPOST Repository

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data