Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcriptomes for different level of glucose

ABSTRACT: To characterize gene expression that is dependent on the strength of calorie restriction (CR), we obtained transcriptome at different levels of glucose, which is a major energy and carbon source for budding yeast. To faithfully mimic mammalian CR in yeast culture, we reconstituted and grew seeding yeast cells in fresh 2% YPD media before inoculating into 2%, 1%, 0.5% and 0.25% YPD media to reflect different CR strengths. We collected and characterized 160 genes that responded to CR strength based on the rigorous statistical analyses of multiple test corrected ANOVA (adjusted é value < 0.1 or raw é value < 0.0031) and Pearson correlation (|r| > 0.7). Based on the individual gene studies and the GO Term Finder analysis of 160 genes, we found that CR dosedependently and gradually increased mitochondrial function at the transcriptional level. Therefore, we suggest these 160 genes are markers that respond to CR strength and that might be useful in elucidating CR mechanisms, especially how stronger CR extends life span more.

ORGANISM(S): Saccharomyces cerevisiae Schizosaccharomyces pombe

PROVIDER: GSE9217 | GEO | 2008/10/02

SECONDARY ACCESSION(S): PRJNA102809

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Transcription profiling of Saccharomyces cerevisiae for different levels of glucose

Project description:To characterize gene expression that is dependent on the strength of calorie restriction (CR), we obtained transcriptome at different levels of glucose, which is a major energy and carbon source for budding yeast. To faithfully mimic mammalian CR in yeast culture, we reconstituted and grew seeding yeast cells in fresh 2% YPD media before inoculating into 2%, 1%, 0.5% and 0.25% YPD media to reflect different CR strengths. We collected and characterized 160 genes that responded to CR strength based on the rigorous statistical analyses of multiple test corrected ANOVA (adjusted Ã© value < 0.1 or raw Ã© value < 0.0031) and Pearson correlation (|r| > 0.7). Based on the individual gene studies and the GO Term Finder analysis of 160 genes, we found that CR dosedependently and gradually increased mitochondrial function at the transcriptional level. Therefore, we suggest these 160 genes are markers that respond to CR strength and that might be useful in elucidating CR mechanisms, especially how stronger CR extends life span more. Experiment Overall Design: Different glucose levels: 2%, 1%, 0.5%, and 0.25% Experiment Overall Design: Three biological replicates in each level

2008-10-26 | E-GEOD-9217 | biostudies-arrayexpress

Candida lusitaniae STE12 meiosis

Project description:Transcriptional profiling of C. lusitaniae a/alpha ste12Δ/ste12Δ deletion mutants on .37% PDA (potato dextrose agar) media for 0 hours (h), 12h, 28h, and 24 hours hybridized against WT a/alpha cells on YPD (yeast peptone dextrose) media for 2h

2014-02-01 | GSE51792 | GEO

Gene expression profile from short-term caloric restriction in mouse adipose tissue

Project description:To provide a robust understanding of a transcriptomic change by short-term CR at body fat of mice, we applied three serial strengths of CR to mice including 15%, 30%, and 45% reduction of carbon source. Using Affymetrix mouse 1.0 ST array platform, we obtained and analyzed the transcriptome data for significantly changed genes in expression. Here, we identified 446 genes and categorized the genes based on their biological roles. We observed gradual down-regulation of several signaling pathways including insulin/insulin-like growth factor (IGF) 1, epidermal growth factor (EGF), transforming growth factor beta (TGF-Î²) and canonical Wingless-type mouse mammary tumor virus integration site (Wnt) signaling according to the CR strengths. Many genes related to structural feature including extracellular matrix (ECM), cell adhesion and cytoskeleton were also down-regulated with a strong correlation to the serial CR treatments. Furthermore, genes for cell cycle and adipogenesis were down-regulated. According to previous studies, these are target functions of the aforementioned four signaling pathways. On the other hand, the genes for specific metabolic features including tricarboxylic acid (TCA) cycle and electron transport chain (ETC) exhibited a transcriptional increase. In addition, adipose tissue expansion markers such as leptin, Mesoderm specific transcript (Mest) and Secreted frizzled-related sequence protein 5 (Sfrp5), and most genes for transport and immune response showed a down-regulation by CR. Comparing gene expression profiles to understand transcriptomic changes of adipose tissue by serial strength (15%, 30%, and 45%) of short-term (10 weeks) caloric restriction to young age (18 weeks) mice (n=3 in each group).

2015-12-31 | E-GEOD-60596 | biostudies-arrayexpress

Gene Expression Arrays comparing C. albicans CEM175 during planktonic and biofilm growth in different media

Project description:The goal was to identify genes that change their expression in biofilm vs. planktonic growth. Cultures for the extraction of total RNA under biofilm growth conditions were performed on biofilms grown on the bottom of 6-well polystyrene plates for 48 hours at 37°C and 200 rpm as previously described (Nobile et al. 2012). The media used was Spider 1% glucose and Spider. Planktonic cultures for total RNA were grown in the same media by inoculating with cells from an overnight 30°C YPD culture to an OD600 of 0.05. Cultures were then grown in flasks at 37°C with shaking at 225 rpm until they reached an OD600 of 1.0.

2021-04-14 | GSE160781 | GEO

Gene Expression Arrays comparing C. tropicalis CEM010 during planktonic and biofilm growth in different media

Project description:The goal was to identify genes that change their expression in biofilm vs. planktonic growth. Cultures for the extraction of total RNA under biofilm growth conditions were performed on biofilms grown on the bottom of 6-well polystyrene plates for 48 hours at 37°C and 200 rpm as previously described (Nobile et al. 2012). The media used was Spider 1% glucose and RPMI 1% glucose. Planktonic cultures for total RNA were grown in the same media by inoculating with cells from an overnight 30°C YPD culture to an OD600 of 0.05. Cultures were then grown in flasks at 37°C with shaking at 225 rpm until they reached an OD600 of 1.0.

2021-04-14 | GSE160780 | GEO

Gene Expression Arrays comparing C. dubliniensis CEM002 during planktonic and biofilm growth in different media

2021-04-14 | GSE160779 | GEO

Gene Expression Arrays comparing C. albicans SN250 during planktonic and biofilm growth in different media

Project description:The goal was to identify genes that change their expression in biofilm vs. planktonic growth. Cultures for the extraction of total RNA under biofilm growth conditions were performed on biofilms grown on the bottom of 6-well polystyrene plates for 48 hours at 37°C and 200 rpm as previously described (Nobile et al. 2012). The media used was Spider 1% glucose, Spider and RPMI 1% glucose. Planktonic cultures for total RNA were grown in the same media by inoculating with cells from an overnight 30°C YPD culture to an OD600 of 0.05. Cultures were then grown in flasks at 37°C with shaking at 225 rpm until they reached an OD600 of 1.0.

2021-04-14 | GSE160782 | GEO

Rpd3 and histone H3 and H4 deletions/mutations

Project description:Signal intensity data for rpd3 delete, H3delta(1-28), H3(K4,9,14,18,23,27Q), H4delta(2-26), H4(K5,8,12,16Q), rpd3 delete H3delta(1-28), and rpd3 delete H4(K5,8,12,16Q) yeast grown in rich (YPD) media Keywords = histones Keywords = chromatin Keywords = rpd3 Keywords = HDAC Keywords = histone deacetylase Keywords = yeast Keywords: other

2004-09-04 | GSE1639 | GEO

Time-course expression data during assurance of the chronological longevity by caloric restriction in budding yeast

Project description:Caloric restriction (CR) is the only non-genetic intervention to retard aging and increase longevity in a variety of species. It is important to understand the fundamental mechanism by which CR extends lifespan that remains elusive. Owing to well-established genomic tools and convenience of culture system, we used a single cell organism, Saccharomyces cerevisiae, to clarify the mechanisms of CR. In order to identify genes responsible for CR-mediated longevity, we performed microarray experiments across the longevity assurance time-points. Since the CR-treated cells obtained the longevity potential around 12 hours after inoculation and the strength of potential gradually increased up to 48 hours, we concluded that the changes across these time-points must be a critical need for assurance of longevity by CR. For preparation of total RNA, yeast cells under control (2% glucose) and CR (0.5% glucose) conditions were harvested at 12h, 18h, 24h and 48h after inoculation. After total RNA extraction, we performed Affymetrix Yeast GeneChip 2.0 array for biological triplicate repeats according to the manufacturer's instructions.

2013-12-31 | E-GEOD-41860 | biostudies-arrayexpress

Yeast genomic expression patterns in response to deoxynivalenol

Project description:The assessment of toxicity about deoxynivalenol (DON) using yeast gene expression comparison analysis. Two yeast strains, parental BY4743 and PTC1 mutant, were used for this study. SDS was used to raise the penetration of the yeast cell membrane. Keywords: stress response Four conditions are compared with three replicates each. Each of the two strains was grown in either 0.01% SDS-containing YPD media or 0.01% SDS-containing YPD media with 25 ppm of deoxynivalenol.

2010-06-08 | E-GEOD-14748 | biostudies-arrayexpress

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