Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

BY_wild_parents

ABSTRACT: Expression analysis of BY4716(isogenic to S288c) and a wild isolate collected by R. Mortimer. Each strain was grown in culture 6 independent times and RNA from each culture was isolated. Each of these RNA samples was subjected to a dye-swap pair of arrays (except the "RM11" sample, which only got one array). All arrays used the same pool of reference BY4716 sample. In sample titles, "BY" alone signifies the reference sample and all other strings represent independent cultures. All sample titles are of the form S1-S2. S1 indicates the sample whose signal was read as channel 1 (Cy5 labeling, fluorescence at 635 nm) and S2 as channel 2 (Cy3, 532 nm). Keywords: repeat sample

ORGANISM(S): Saccharomyces cerevisiae

PROVIDER: GSE38 | GEO | 2002/05/01

SECONDARY ACCESSION(S): PRJNA84893

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

BYxwild_40

Project description:Expression analysis of F1 haploid segregants from a cross between BY4716 (isogenic to S288c) and a wild isolate collected by R. Mortimer. Each segregant sample was subjected to a dye-swap pair of arrays. All arrays used the same pool of reference BY4716 sample. In sample titles, "BY" alone signifies the reference sample and all other strings represent segregants. All sample titles are of the form S1-S2. S1 indicates the sample whose signal was read as channel 1 (Cy5 labeling, fluorescence at 635 nm) and S2 as channel 2 (Cy3, 532 nm). Keywords: repeat sample

2002-05-01 | GSE37 | GEO

Genetic complexity in yeast transcripts

Project description:Haploid segregants from a cross between the yeast strains BY4716 and RM11-1a as in Brem et al. 2002 and Yvert et al. 2003. This series contains all GSE617 samples (re-submitted for convenience), plus 27 additional segregants assayed with the same protocol and the same reference sample as GSE617. Keywords: other

2005-01-20 | GSE1990 | GEO

Integrating Large-Scale Functional Genomic Data to Dissect the Complexity of Yeast Regulatory Networks

Project description:A major goal of biology is the construction of networks that predict complex system behavior. We combine multiple types of molecular data, including genotypic, expression, transcription factor binding site (TFBS), and protein-protein interaction (PPI) data previously generated from a number of yeast experiments in order to reconstruct causal gene networks. Networks based on different types of data are compared using metrics devised to assess the predictive power of a network. A network reconstructed by integrating genotypic, TFBS and PPI data is shown to be the most predictive. This network is used to predict causal regulators responsible for hot spots of gene expression activity in a segregating yeast population. The network is also shown to elucidate the mechanisms by which causal regulators give rise to larger-scale changes in gene expression activity. Predictions are prospectively validated to provide direct experimental evidence that predictive networks can be constructed by integrating multiple, appropriate data types. Keywords: allele replacement Allele replacement strains were created in two backgrounds: BY (BY4724 and BY4742), and RM11-1a, and compared to the parental type (BY4716 and RM11-1a). BY7g, BY9g, BY11g are BY4716, while RM7g, RM9g, and RM11g are RM11-1a. YAD350 is a MKT1 D30G replacement strain in BY4742 background. YLK804 is a SAL1-RM allele in BY4724 and YLK806 is a SAL1-BY allele in RM11-1a. All strains were grown in YNB + 2% glucose, with leucine, lysine, and uracil. YAD350 was also grown with histidine.

2008-06-15 | E-GEOD-11111 | biostudies-arrayexpress

Cytokine Stimulated Vs Unstimulated

Project description:human bronchial smooth muscle cells were growth arrested. One group was stimulated with 10ng/mL of IL-1beta, TNF-alfa, and gamma IFN for 20 hours. For every cDNA sample, 2 dyeflipped slides were hybridized (these have the same date in the titles). All cy3 (channel 2) measurements were normalized to the dye coupling control before a ratio of the values was taken. Keywords: parallel sample

2004-04-09 | GSE1288 | GEO

Gene expression alteration by different cell lines derived from lung SCC of IKKM-NM-1 mutant mice

Project description:In this study, we found that kinase-dead IKKM-NM-1 knockin (KAL) mice. develop spontaneous lung squamous cell carcinomas (SCCs) associated with IKKM-NM-1 downregulation and marked pulmonary inflammation.KKM-NM-1 downregulation dysregulates the expression of multiple oncogenes and tumor suppressors in K5+ lung epithelial cells. The mutant macrophages increase inflammatory responses and oxidative stress to promote DNA damage in IKKM-NM-1-mutant K5+ lung epithelial cells, which further dysregulate the levels of multiple oncogenes, tumor suppressors, and stem cell genes, thereby promoting the IKKM-NM-1lowK5+p63hi cell transition to tumor cells in L-IkkM-NM-1KA/KA lungs. To further investigate the underlying mechanisms by which the lung SCC development, we generated two cell lines, named as S1 and S2 individually, which were derived from KAL lung SCC. The S1 cells express high level of Sca1 and exhibit tumorigenic phenotype, while the S2 cells express low level of Sca1 and exhibit less tumorigenic phenotype. The aim of this microarray assay is to identify differentially expressed genes between S1 and S2 cells, which may highlight the important genes or pathways involved in inflammation-associated lung SCC carcinogenesis. There were two cell lines were used to perform Gene chip assay with Affymetrix. The two cell lines, named as S1 and S2 individually, were derived from KAL lung SCC. The S1 cells express high level of Sca1 and exhibit tumorigenic phenotype, while the S2 cells express low level of Sca1 and exhibit less tumorigenic phenotype.

2015-01-27 | E-GEOD-65291 | biostudies-arrayexpress

Transcription profiling by array of haploid yeast segregants that are genomically characterized to investigate their time-dependent response to rapamycin

Project description:We profiled the time-dependent expression levels of a set of 95 genomically characterized haploid yeast segregants in response to rapamycin. They were derived from two genetically diverse parental yeast strains, BY4716 and RM11. Both parental strains have been sequenced. Our goal is to capture widespread transcriptional changes over time, and to leverage on both the temporal and genetic variations to construct regulatory networks.

2011-11-03 | E-MTAB-412 | biostudies-arrayexpress

Oxygen downshift experiment with E.coli W3110

2008-07-08 | GSE12006 | GEO

Methylome analysis of epiRIL344 BC1-S1 to BC1-S6 aerial part

Project description:DNA methylation profiling in epiRIL344 BC1-S1 to BC1-S6 aerial part (epiRIL344_BC1-S1 - epiRIL344_BC1-S2 - epiRIL344_BC1-S3 - epiRIL344_BC1-S4 - epiRIL344_BC1-S5 - epiRIL344_BC1-S6) Keywords: Genome binding/occupancy profiling by genome tiling array

2012-09-03 | GSE37285 | GEO

Expression profiles of 30-gene hepatocellular carcinoma molecular classification signature in surgically resected Japanese hepatocellular carcinoma patients

Project description:Background & Aims: Hepatocellular carcinoma (HCC) is the second most lethal cancer due to lack of effective therapies. Although promising, HCC molecular classification, which enriches potential responders to specific therapies, has not yet been assessed in clinical trials of anti-HCC drugs. We aimed to overcome these challenges by developing clinicopathological surrogate indices of HCC molecular classification. Methods: HCC classification defined in our previous transcriptome meta-analysis (S1, S2, and S3 subclasses) was implemented in an FDA-approved diagnostic platform (Elements assay, NanoString). Ninety-six HCC tumors (training set) were assayed to develop molecular subclass-predictive indices based on clinicopathological features, which were independently validated in 99 HCC tumors (validation set). Molecular deregulations associated with the histopathological features were determined by pathway analysis. Sample sizes for HCC clinical trials enriched with specific molecular subclasses were determined. Results: HCC subclass-predictive indices were: steatohepatitic (SH)-HCC variant and immune cell infiltrate for S1 subclass, macrotrabecular/compact pattern, lack of pseudoglandular pattern, and high serum alpha-fetoprotein (>400 ng/mL) for S2 subclass, and microtrabecular pattern, lack of SH-HCC and clear cell variants, and lower histological grade for S3 subclass. Macrotrabecular/compact pattern, a predictor of S2 subclass, was associated with activation of therapeutically targetable oncogene YAP and stemness markers EPCAM/KRT19. BMP4 was associated with pseudoglandular pattern. Subclass-predictive indices-based patient enrichment reduced clinical trial sample sizes from 121, 184, and 53 to 30, 43, and 22 for S1, S2, and S3 subclass-targeting therapies, respectively. Conclusions: HCC molecular subclasses can be enriched by clinicopathological indices tightly associated with deregulation of therapeutically targetable molecular pathways.

2015-06-17 | GSE59548 | GEO

Transcription profiling of E.coli W3110 oxygen downshift

Project description:Dynamical response to oxygen downshift under fermentation conditions was tested by taking sample before (S1) and after (S2, S3 and S4) the oxygen downshift. The dynamical changes relevant for ongoing research on physiology were applied. Experiment Overall Design: Four microarray chips were analyzed: Experiment Overall Design: S1 was taken 15 min before the oxygen downshift Experiment Overall Design: S2, S3 and S4 were taken 15 min, 45 min and 75 min after the oxygen downshift, respectively

2008-10-21 | E-GEOD-12006 | 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