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GSE26051
Homo sapiens
46 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Chronic tendon injuries, also known as tendinopathy, are common among professional and recreational athletes. These injuries result in a significant amount of morbidity and health care expenditure and yet little is known about the molecular mechanism leading to tendinopathy. We have used histological evaluation and molecular profiling to determine the gene expression changes in 23 human patients undergoing surgical procedures for the treatment of chronic tendinopathy. Diseased tendons have altered extracellular matrix, fiber disorientation, increased cellular content and vasculature and the absence of inflammatory cells. Global gene expression profiling identified 1783 transcripts with significant different expression patterns in the diseased tendons. Global pathway analysis further suggests altered expression of extracellular matrix proteins and the lack of an appreciable inflammatory response. We have identified pathways and genes regulated in tendinopathy samples that will help contribute to the understanding of the disease towards the development of novel therapeutics.
Publication Title
Regulation of gene expression in human tendinopathy.
Sample Metadata Fields
Sex, Age, Specimen part, Disease, Disease stage, Subject
View Samples- Mus musculus
- 8 Downloadable Samples
- Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)
Description
Primitive erythropoiesis in the mouse yolk sac is followed by definitive erythropoiesis resulting in adult erythrocytes. In comparison to definitive erythropoiesis little is known about the genes that control the embryonic erythroid program. The purpose of this study was to generate a profile of mouse embryonic yolk sac erythroid cells and identify novel regulatory genes differentially expressed in erythroid compared to non-erythroid (epithelial cells).
Publication Title
Identification of erythroid-enriched gene expression in the mouse embryonic yolk sac using microdissected cells.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 233 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Time-Course Analysis of Brain Regional Expression Network Responses to Chronic Intermittent Ethanol and Withdrawal: Implications for Mechanisms Underlying Excessive Ethanol Consumption.
Sample Metadata Fields
Sex, Specimen part
View Samples- Homo sapiens
- 62 Downloadable Samples
- Affymetrix Human Genome U133A 2.0 Array (hgu133a2)
Description
In this study, we used the Affymetrix HG-U133A 2.0 GeneChip for deriving a multigenic classifier capable of predicting HCV+cirrhosis with vs without concomitant HCC.
Publication Title
Identifying genes for establishing a multigenic test for hepatocellular carcinoma surveillance in hepatitis C virus-positive cirrhotic patients.
Sample Metadata Fields
Specimen part, Disease, Disease stage
View Samples- Mus musculus
- 48 Downloadable Samples
Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Lasting behavioral and physiological changes such as abusive consumption, dependence, and withdrawal are characteristic features of alcohol use disorders (AUD). Mechanistically, persistent changes in gene expression are hypothesized to contribute to these brain adaptations leading to ethanol toxicity and abuse. Here we employed repeated chronic intermittent ethanol (CIE) exposure by vapor chamber as a mouse model to simulate the cycles of ethanol exposure and withdrawal commonly seen with AUD. This model has previously been shown to induce progressive ethanol consumption in rodents. Brain regional expression networks contributing to CIE-induced behavioral changes were identified by microarray analysis across five brain regions in the mesolimbic dopamine system and extended amygdala with tissue harvested from 0-120 hours following the last cycle of CIE. Weighted Gene Correlated Network Analysis (WGCNA) was used to identify gene networks over-represented for CIE-induced temporal expression changes across brain regions. Differential gene expression analysis of CIE vs. air-treated controls showed that long-lasting gene regulation occurred 5-days after the final cycle of ethanol exposure only in prefrontal cortex (PFC) and hippocampus. In the majority of brain-regions, however, ethanol regulated gene expression changes occurred only immediately following CIE or within the first 8-hours of removal from ethanol.
Publication Title
Time-Course Analysis of Brain Regional Expression Network Responses to Chronic Intermittent Ethanol and Withdrawal: Implications for Mechanisms Underlying Excessive Ethanol Consumption.
Sample Metadata Fields
Sex, Specimen part
View Samples- Mus musculus
- 48 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Lasting behavioral and physiological changes such as abusive consumption, dependence, and withdrawal are characteristic features of alcohol use disorders (AUD). Mechanistically, persistent changes in gene expression are hypothesized to contribute to these brain adaptations leading to ethanol toxicity and abuse. Here we employed repeated chronic intermittent ethanol (CIE) exposure by vapor chamber as a mouse model to simulate the cycles of ethanol exposure and withdrawal commonly seen with AUD. This model has previously been shown to induce progressive ethanol consumption in rodents. Brain regional expression networks contributing to CIE-induced behavioral changes were identified by microarray analysis across five brain regions in the mesolimbic dopamine system and extended amygdala with tissue harvested from 0-120 hours following the last cycle of CIE. Weighted Gene Correlated Network Analysis (WGCNA) was used to identify gene networks over-represented for CIE-induced temporal expression changes across brain regions. Differential gene expression analysis of CIE vs. air-treated controls showed that long-lasting gene regulation occurred 5-days after the final cycle of ethanol exposure only in prefrontal cortex (PFC) and hippocampus. In the majority of brain-regions, however, ethanol regulated gene expression changes occurred only immediately following CIE or within the first 8-hours of removal from ethanol.
Publication Title
Time-Course Analysis of Brain Regional Expression Network Responses to Chronic Intermittent Ethanol and Withdrawal: Implications for Mechanisms Underlying Excessive Ethanol Consumption.
Sample Metadata Fields
Sex, Specimen part
View Samples- Mus musculus
- 47 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Lasting behavioral and physiological changes such as abusive consumption, dependence, and withdrawal are characteristic features of alcohol use disorders (AUD). Mechanistically, persistent changes in gene expression are hypothesized to contribute to these brain adaptations leading to ethanol toxicity and abuse. Here we employed repeated chronic intermittent ethanol (CIE) exposure by vapor chamber as a mouse model to simulate the cycles of ethanol exposure and withdrawal commonly seen with AUD. This model has previously been shown to induce progressive ethanol consumption in rodents. Brain regional expression networks contributing to CIE-induced behavioral changes were identified by microarray analysis across five brain regions in the mesolimbic dopamine system and extended amygdala with tissue harvested from 0-120 hours following the last cycle of CIE. Weighted Gene Correlated Network Analysis (WGCNA) was used to identify gene networks over-represented for CIE-induced temporal expression changes across brain regions. Differential gene expression analysis of CIE vs. air-treated controls showed that long-lasting gene regulation occurred 5-days after the final cycle of ethanol exposure only in prefrontal cortex (PFC) and hippocampus. In the majority of brain-regions, however, ethanol regulated gene expression changes occurred only immediately following CIE or within the first 8-hours of removal from ethanol.
Publication Title
Time-Course Analysis of Brain Regional Expression Network Responses to Chronic Intermittent Ethanol and Withdrawal: Implications for Mechanisms Underlying Excessive Ethanol Consumption.
Sample Metadata Fields
Sex, Specimen part
View Samples- Mus musculus
- 45 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Lasting behavioral and physiological changes such as abusive consumption, dependence, and withdrawal are characteristic features of alcohol use disorders (AUD). Mechanistically, persistent changes in gene expression are hypothesized to contribute to these brain adaptations leading to ethanol toxicity and abuse. Here we employed repeated chronic intermittent ethanol (CIE) exposure by vapor chamber as a mouse model to simulate the cycles of ethanol exposure and withdrawal commonly seen with AUD. This model has previously been shown to induce progressive ethanol consumption in rodents. Brain regional expression networks contributing to CIE-induced behavioral changes were identified by microarray analysis across five brain regions in the mesolimbic dopamine system and extended amygdala with tissue harvested from 0-120 hours following the last cycle of CIE. Weighted Gene Correlated Network Analysis (WGCNA) was used to identify gene networks over-represented for CIE-induced temporal expression changes across brain regions. Differential gene expression analysis of CIE vs. air-treated controls showed that long-lasting gene regulation occurred 5-days after the final cycle of ethanol exposure only in prefrontal cortex (PFC) and hippocampus. In the majority of brain-regions, however, ethanol regulated gene expression changes occurred only immediately following CIE or within the first 8-hours of removal from ethanol.
Publication Title
Time-Course Analysis of Brain Regional Expression Network Responses to Chronic Intermittent Ethanol and Withdrawal: Implications for Mechanisms Underlying Excessive Ethanol Consumption.
Sample Metadata Fields
Sex, Specimen part
View Samples- Mus musculus
- 45 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Lasting behavioral and physiological changes such as abusive consumption, dependence, and withdrawal are characteristic features of alcohol use disorders (AUD). Mechanistically, persistent changes in gene expression are hypothesized to contribute to these brain adaptations leading to ethanol toxicity and abuse. Here we employed repeated chronic intermittent ethanol (CIE) exposure by vapor chamber as a mouse model to simulate the cycles of ethanol exposure and withdrawal commonly seen with AUD. This model has previously been shown to induce progressive ethanol consumption in rodents. Brain regional expression networks contributing to CIE-induced behavioral changes were identified by microarray analysis across five brain regions in the mesolimbic dopamine system and extended amygdala with tissue harvested from 0-120 hours following the last cycle of CIE. Weighted Gene Correlated Network Analysis (WGCNA) was used to identify gene networks over-represented for CIE-induced temporal expression changes across brain regions. Differential gene expression analysis of CIE vs. air-treated controls showed that long-lasting gene regulation occurred 5-days after the final cycle of ethanol exposure only in prefrontal cortex (PFC) and hippocampus. In the majority of brain-regions, however, ethanol regulated gene expression changes occurred only immediately following CIE or within the first 8-hours of removal from ethanol.
Publication Title
Time-Course Analysis of Brain Regional Expression Network Responses to Chronic Intermittent Ethanol and Withdrawal: Implications for Mechanisms Underlying Excessive Ethanol Consumption.
Sample Metadata Fields
Sex, Specimen part
View Samples- Saccharomyces cerevisiae
- 32 Downloadable Samples
Illumina HiSeq 2500, Illumina HiSeq 2000
Description
DEAD-box RNA helicases eIF4A and Ded1 are believed to promote translation initiation by resolving mRNA secondary structures that impede ribosome attachment at the mRNA 5' end or subsequent scanning of the 5'UTR, but whether they perform distinct functions or act redundantly in vivo is poorly understood. We compared the effects of mutations in Ded1 or eIF4A on global translational efficiencies (TEs) in yeast by ribosome footprint profiling. Despite similar reductions in bulk translation, inactivation of a cold-sensitive Ded1 mutant substantially reduced the TEs of >600 mRNAs, whereas inactivation of a temperature-sensitive eIF4A mutant yielded <40 similarly impaired mRNAs. The broader requirement for Ded1 did not reflect more pervasive secondary structures at low temperature, as inactivation of temperature-sensitive and cold-sensitive ded1 mutants gave highly correlated results. Interestingly, Ded1-dependent mRNAs exhibit greater than average 5'UTR length and propensity for secondary structure, implicating Ded1 in scanning though structured 5' UTRs. Reporter assays confirmed that cap- distal stem-loop insertions increase dependence on Ded1 but not eIF4A for efficient translation. While only a small fraction of mRNAs is strongly dependent on eIF4A, this dependence is significantly correlated with requirements for Ded1 and 5'UTR features characteristic of Ded1- dependent mRNAs. Our findings suggest that Ded1 is critically required to promote scanning through secondary structures within 5'UTRs; and while eIF4A cooperates with Ded1 in this function, it also promotes a step of initiation common to virtually all yeast mRNAs. Overall design: We compared the effects of mutations in Ded1 or eIF4A on global translational efficiencies (TEs) in yeast by ribosome footprint profiling.The study includes 32 samples, comprised of 16 mRNA-Seq samples and 16 ribosome footprint profiling samples, derived from biological replicates of 3 mutant strains, ded1-cs, ded1-ts and tif1-ts, and the corresponding wild-type strains. The tif1-ts mutant and its wild-type counterpart were analyzed at 30°C and 37°C.
Publication Title
Functional interplay between DEAD-box RNA helicases Ded1 and Dbp1 in preinitiation complex attachment and scanning on structured mRNAs in vivo.
Sample Metadata Fields
Subject
View Samples