Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

RNA-seq of yeast cell cycle grown on glucose, synchronized with CDC15-2.

ABSTRACT: RNA-seq of yeast cell cycle grown on glucose, synchronized with CDC15-2.

PROVIDER: PRJEB35940 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

RNA-seq of yeast cell cycle grown on glucose, synchronized with CDC15-2.

Project description:We use Saccharomyces cerevisiae, grown on glucose and synchronized with CDC15-2, to map interactions of different cellular processes during the yeast cell cycle.

2021-11-01 | E-MTAB-8626 | biostudies-arrayexpress

Synchronized yeast meiotic culture timecourse

Project description:Synchronized yeast meiotic culture timecourse

| PRJNA354329 | ENA

RNAseq and ribosome profiling of yeast cells grown under glucose restriction condition.

Project description:We investigate the mechanism by which glucose restriction extends yeast replicative lifespan, using an approach that combines ribosomal profiling and RNA-seq. We systematically compared the translational and transcriptional profiles of cells grown in glucose restriction and normal media, uncovering groups of functionally related genes that are up or down regulated.

2020-07-10 | GSE134152 | GEO

RNAseq and ribosome profiling of yeast cells grown under glucose restriction condition.

Project description:RNAseq and ribosome profiling of yeast cells grown under glucose restriction condition.

| PRJNA554100 | ENA

E-MTAB-8626

Project description:RNA-seq of yeast cell cycle grown on glucose, synchronized with CDC15-2.

2020-01-10 | E-MTAB-8626 | ExpressionAtlas

Cell cycle of yeast deleted for yox1

Project description:Transcription profiles across the cell cycle of yox1 deleted yeast cells. BY2399 cells (yox1 delete cells isogenic with W303a) were arrested with alpha factor in YEPD media. After release from arrest cells were sampled every 5 min for 2 hr. Keywords: cell cycle time course Cells were synchronized with alpha factor and sampled every 5 min across 2 cell cycles. A total of 25 samples were analyzed. Technical replicates were included. cDNA of the cell cycle samples were labelled with Cy5. For Cy3 labelling, asynchronous yeast population was used.

2007-09-29 | E-GEOD-5376 | biostudies-arrayexpress

High throughput sequencing in synchronized yeast meiotic culture with pCUP1-IME1 pCUP1-IME4 strain

Project description:We used pCUP1-IME1 pCUP1-IME4 strain to generate synchronized yeast meiotic culture and measure the RNA expression through meiotic progression

2016-11-18 | GSE90008 | GEO

transcriptional reponse of yeast glucose sensing pathway mutants to glucose addition

Project description:While much is known about glucose metabolism in yeast, less is known about the receptors and signaling pathways that indicate glucose availability. Here we compared wildtype and 16 mutants in yeast glucose sensing pathway for their transcriptomics profiles in 0.05% glucose vs 10 min after glucose addition to 2% glucose. With these data, we were able to define various roles of glucose sensing pathway components. We demonstrated that the G protein-coupled receptor (Gpr1/Gpa2) directed early events in glucose utilization, the transceptors (SNF3/RGT2) regulated subsequent processes and downstream products of glucose metabolism. Whereas the large G protein transmits the signal from its cognate receptor, Ras2 (but not Ras1) integrates responses from both receptor pathways. We also determined the relative contributions of the Gα (Gpa2) and Gβ (Asc1) protein subunits to glucose-initiated processes in yeast. We determined that Gpa2 is primarily involved in regulating carbohydratesugar metabolism while Asc1 is primarily involved in amino acid metabolism. Both proteins are involved in regulating purine metabolism. Collectively, our analysis reveals the molecular basis for glucose detection and the earliest events of glucose-dependent signal transduction in yeast.

2021-06-09 | GSE171846 | GEO

Transcription profiling of yeast grwon in high glucose medium and shifted to low glucose medium

Project description:Time series expression profile of yeast cells grown at high glucose and shifted to low glucose containing medium. Lowess normalized data in raw data files.

2008-09-01 | E-MTAB-22 | biostudies-arrayexpress

Asymmetrically inherited older proteins in budding yeast (synchronized culture method-1)

Project description:In budding yeast, damaged organelles and biomolecules are symmetrically segregated between mother and daughter cells, which can influence the replicating aging of mother cells. In some cases, older proteins are prone to be damaged and decline in their functions compared to newly synthesized proteins, likely to contribute the cellular aging. The purpose of this analysis is to uncover asymmetrically inherited older proteins, which are preferentially retained in mother cells during division into mother and rejuvenating daughter cells. To achieve this purpose, we conducted an originally developed strategy where mother and daughter cells are separated after just one cycle of synchronized culture, during which newly synthesized proteins are labeled with stable isotope amino acid. Synchronized culture was carried out using mating pheromone, which arrest the budding yeast in G1 phase. We successfully identified more than 20 proteins whose older forms are asymmetrically inherited by mother cells, among which are proteins involved in the intracellular homeostasis of the proton concentration and the response to the stress of misfolded proteins.

2017-10-08 | PXD005114 | JPOST Repository

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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