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Drosophila melanogaster
9 Downloadable Samples
Affymetrix Drosophila Genome 2.0 Array (drosophila2)
Description
The Drosophila gene dLmo encodes a transcriptional regulator involved in wing development and behavioral responses to cocaine and ethanol.
Publication Title
An evolutionary conserved role for anaplastic lymphoma kinase in behavioral responses to ethanol.
Sample Metadata Fields
Sex, Specimen part
View Samples- Drosophila melanogaster
- 16 Downloadable Samples
- Affymetrix Drosophila Genome 2.0 Array (drosophila2)
Description
Increased ethanol intake, a major predictor for the development of alcohol use disorders, is facilitated by the development of tolerance to both the aversive and pleasurable effects of the drug. The molecular mechanisms underlying ethanol tolerance development are complex and are not yet well understood. To identify genetic mechanisms that contribute to ethanol tolerance, we examined the time course of gene expression changes elicited by a single sedating dose of ethanol in Drosophila.
Publication Title
Ethanol-regulated genes that contribute to ethanol sensitivity and rapid tolerance in Drosophila.
Sample Metadata Fields
Sex, Specimen part
View Samples- Homo sapiens
- 81 Downloadable Samples
Affymetrix Human Gene 1.0 ST Array (hugene10st), Illumina HumanMethylation450 BeadChip (HumanMethylation450_15017482), Illumina HiSeq 2000
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Epigenetic remodeling in B-cell acute lymphoblastic leukemia occurs in two tracks and employs embryonic stem cell-like signatures.
Sample Metadata Fields
Sex, Age, Specimen part
View Samples- Mus musculus
- 307 Downloadable Samples
- Affymetrix Mouse Gene 1.1 ST Array (mogene11st)
Description
Gene expression levels in normal tissues can differ substantially between individuals, due to inherited polymorphisms acting in cis or trans. Analysis of this variation across a population of genetically distinct individuals allows us to visualize a network of co-expressed genes under normal homeostatic conditions, and the consequences of perturbation by tissue damage or disease development. Here, we explore gene expression networks in normal adult skin from 470 genetically unique mice, and demonstrate the dependence of the architecture of signaling pathways on skin tissue location (dorsal or tail skin) and perturbation by induction of inflammation or tumorigenesis. Gene networks related to specific cell types, as well as signaling pathways including Sonic Hedgehog (Shh), Wnt, Lgr family stem cell markers, and keratins differed at these tissue sites, suggesting mechanisms for the differential susceptibility of dorsal and tail skin to development of skin diseases and tumorigenesis. The Pten tumor suppressor gene network is extensively rewired in premalignant tumors compared to normal tissue, but this response to perturbation is lost during malignant progression. We present a software package for eQTL network analysis and demonstrate how network analysis of whole tissues provides insights into interactions between cell compartments and signaling molecules.
Publication Title
Gene Expression Architecture of Mouse Dorsal and Tail Skin Reveals Functional Differences in Inflammation and Cancer.
Sample Metadata Fields
Sex, Age, Specimen part, Treatment
View Samples- Mus musculus, Mus musculus x mus spretus, Mus spretus
- 132 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Network analysis of skin tumor progression identifies a rewired genetic architecture affecting inflammation and tumor susceptibility.
Sample Metadata Fields
Sex
View Samples
GSE52524- Mus musculus
- 195 Downloadable Samples
- Affymetrix Mouse Gene 1.1 ST Array (mogene11st)
Description
Gene expression levels in normal tissues can differ substantially between individuals, due to inherited polymorphisms acting in cis or trans. Analysis of this variation across a population of genetically distinct individuals allows us to visualize a network of co-expressed genes under normal homeostatic conditions, and the consequences of perturbation by tissue damage or disease development. Here, we explore gene expression networks in normal adult skin from 470 genetically unique mice, and demonstrate the dependence of the architecture of signaling pathways on skin tissue location (dorsal or tail skin) and perturbation by induction of inflammation or tumorigenesis. Gene networks related to specific cell types, as well as signaling pathways including Sonic Hedgehog (Shh), Wnt, Lgr family stem cell markers, and keratins differed at these tissue sites, suggesting mechanisms for the differential susceptibility of dorsal and tail skin to development of skin diseases and tumorigenesis. The Pten tumor suppressor gene network is extensively rewired in premalignant tumors compared to normal tissue, but this response to perturbation is lost during malignant progression. We present a software package for eQTL network analysis and demonstrate how network analysis of whole tissues provides insights into interactions between cell compartments and signaling molecules.
Publication Title
Gene Expression Architecture of Mouse Dorsal and Tail Skin Reveals Functional Differences in Inflammation and Cancer.
Sample Metadata Fields
Sex, Specimen part
View Samples- Homo sapiens
- 164 Downloadable Samples
- Affymetrix Human Genome U133A 2.0 Array (hgu133a2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Analysis of mRNA profiles after MEK1/2 inhibition in human pancreatic cancer cell lines reveals pathways involved in drug sensitivity.
Sample Metadata Fields
Specimen part, Cell line
View Samples GSE52639- Mus musculus
- 153 Downloadable Samples
- Affymetrix Mouse Gene 1.1 ST Array (mogene11st)
Description
Gene expression levels in normal tissues can differ substantially between individuals, due to inherited polymorphisms acting in cis or trans. Analysis of this variation across a population of genetically distinct individuals allows us to visualize a network of co-expressed genes under normal homeostatic conditions, and the consequences of perturbation by tissue damage or disease development. Here, we explore gene expression networks in normal adult skin from 470 genetically unique mice, and demonstrate the dependence of the architecture of signaling pathways on skin tissue location (dorsal or tail skin) and perturbation by induction of inflammation or tumorigenesis. Gene networks related to specific cell types, as well as signaling pathways including Sonic Hedgehog (Shh), Wnt, Lgr family stem cell markers, and keratins differed at these tissue sites, suggesting mechanisms for the differential susceptibility of dorsal and tail skin to development of skin diseases and tumorigenesis. The Pten tumor suppressor gene network is extensively rewired in premalignant tumors compared to normal tissue, but this response to perturbation is lost during malignant progression. We present a software package for eQTL network analysis and demonstrate how network analysis of whole tissues provides insights into interactions between cell compartments and signaling molecules.
Publication Title
Gene Expression Architecture of Mouse Dorsal and Tail Skin Reveals Functional Differences in Inflammation and Cancer.
Sample Metadata Fields
Sex
View Samples- Homo sapiens
- 140 Downloadable Samples
- Affymetrix Human Genome U133A 2.0 Array (hgu133a2)
Description
Analysis of mRNA profiles after MEK1/2 inhibition in human pancreatic cancer cell lines reveals pathways involved in drug sensitivity.
Publication Title
Analysis of mRNA profiles after MEK1/2 inhibition in human pancreatic cancer cell lines reveals pathways involved in drug sensitivity.
Sample Metadata Fields
Specimen part, Cell line
View Samples- Saccharomyces cerevisiae
- 82 Downloadable Samples
- Affymetrix Yeast Genome S98 Array (ygs98)
Description
Using microarrays to genotype the parental origin of progeny resulting from a cross between S96 and YJM789 yeast strains, we mapped the distribution of crossovers that occurred during meiosis. Knowledge of the crossover distribution allowed us to assess changes in crossover control in wild type and mutant strains.
Publication Title
Global analysis of the meiotic crossover landscape.
Sample Metadata Fields
No sample metadata fields
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