Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

GNPS - Abundances of transcripts, proteins, metabolites, and lipids in the cell cycle of budding yeast

ABSTRACT: cell cycle studies in the budding yeast Saccharomyces cerevisiae.

INSTRUMENT(S): TripleTOF 6600

ORGANISM(S): Saccharomyces Cerevisiae (ncbitaxon:4932)

SUBMITTER: Birgit Schilling

PROVIDER: MSV000084302 | GNPS |

SECONDARY ACCESSION(S): PXD015345

REPOSITORIES: GNPS

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Abundances of transcripts, proteins, metabolites, and lipids in the cell cycle of budding yeast

Project description:cell cycle studies in the budding yeast Saccharomyces cerevisiae.

| MSV000084302 | MassIVE

Abundances of transcripts, proteins metabolites and lipids in the cell cycle of budding yeast.

Project description:This entry contains the proteomic files from a data set of RNAs, proteins, metabolites and lipids analyzed from the same staged samples of S. cerevisiae cells across the cell cycle. Actively growing (un-arrested) diploid cells were collected by elutriation as 8 distinct size pools across the cell cycle in triplicate. Yeast in these 24 aliquots were lysed and soluble and insoluble proteins were prepared for shotgun LC-MS/MS mass spectrometry analysis.

2019-10-29 | PXD015273 | Pride

Abundances of transcripts, proteins, metabolites, and lipids in the cell cycle of budding yeast

Project description:For the first time in any system, we generated experiment-matched datasets of the levels of RNAs, proteins, metabolites, and lipids from un-arrested, growing, and synchronously dividing yeast cells.

2019-12-11 | GSE135476 | GEO

Abundances of transcripts, proteins, metabolites, and lipids in the cell cycle of budding yeast

Project description:Abundances of transcripts, proteins, metabolites, and lipids in the cell cycle of budding yeast

| PRJNA559005 | ENA

RNA-seq of yeast cell cycle, used for absolute gene expression quantification

Project description:We use Saccharomyces cerevisiae to perform absolute quantitative multi-omics analysis to map interactions of different cellular processes during the yeast cell cycle.

2020-03-30 | E-MTAB-8565 | biostudies-arrayexpress

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

RNA-seq of yeast cell cycle grown on ethanol, used for absolute gene expression quantification

Project description:We use Saccharomyces cerevisiae grown on ethanol to perform absolute quantitative multi-omics analysis to map interactions of different cellular processes during the yeast cell cycle.

2021-11-01 | E-MTAB-8621 | biostudies-arrayexpress

Microarray-CGH of wine yeast strains

Project description:Gene copy number comparison between similar wine yeast strains of Saccharomyces cerevisiae from different geographic origins.

2010-02-14 | GSE16941 | GEO

Altered cell signaling in the absence of Dynamin function: a transcriptomic approach from yeast to humans (yeast)

Project description:Dynamins are large multidomain GTPases involved in membrane scission. We have investigated the transcriptional consequences of deleting Vps1, a DNM2 homologue, in the yeast Saccharomyces cerevisiae. Interestingly, the vps1∆ mutation causes strong transcriptional defects also in yeast. Data suggest that DNM2 and Vps1 play an essential regulatory role connecting several membrane-related processes including endocytosis, lipid homeostasis and different signal transduction pathways.

2019-02-24 | GSE78267 | GEO

Yeast aging study

Project description:Wild type and sgs1 null yeast were grown under DNA damaging (with MMS) conditions or without treatment to log phase and their transcriptional profiles compared . The human aging diseases Werner and Bloom syndromes are a result of mutation of the WRN and BLM genes, respectively. The SGS1 gene of Saccharomyces cerevisiae is homologous to the human WRN and BLM genes of the RecQ DNA helicase family. Deletion of SGS1 results in accelerated yeast aging and a reduction in life span as well as cell cycle arrest. We demonstrate that SGS1 deletion, DNA damage, and stress show similar transcriptional responses in yeast. Our comparative analysis of the genome-wide expression response of SGS1 deletion, stress and DNA damage indicates parallel transcriptional responses to cellular insult and aging in yeast. Keywords: other

2003-06-03 | GSE423 | GEO

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