Resveratrol, a natural phytoestrogen found in red wine and a variety of plants, is reported to have protective effects against lung cancer, however there is very little work directed towards the understanding of the mechanism of action of resveratrol in lung cancer. In this study we used an experimental approach to understand the biological activity and molecular mechanisms of resveratrol in A549 lung cancer cells. Gene expression profiles were compiled using an oligonucleotide microarray to determine altered expression levels in resveratrol treated cells.
Molecular mechanisms of resveratrol action in lung cancer cells using dual protein and microarray analyses.
No sample metadata fields
View SamplesWhile the salutary effects of exercise training on conduit artery endothelial cells have been reported in animals and humans with cardiovascular risk factors or disease, whether a healthy endothelium is alterable with exercise training is less certain. The purpose of this study was to evaluate the impact of exercise training on transcriptional profiles in normal endothelial cells using a genome-wide microarray analysis. Brachial and internal mammary endothelial gene expression was compared between a group of healthy pigs that exercise-trained for 16-20 weeks (n=8) and a group that remained sedentary (n=8). We found that a total of 130 genes were up regulated and 84 genes down regulated in brachial artery endothelial cells with exercise training. In contrast, a total of 113 genes were up regulated and 31 genes down regulated in internal mammary artery endothelial cells (>1.5-fold and false discovery rate<15%). Although there was an overlap of 66 genes (59 up regulated and 7 down regulated with exercise training) between the brachial and internal mammary arteries, the identified endothelial gene networks and biological processes influenced by exercise training were distinctly different between the brachial and internal mammary arteries. These data indicate that a healthy endothelium is indeed responsive to exercise training and support the concept that the influence of physical activity on endothelial gene expression is not homogenously distributed throughout the vasculature.
Impact of exercise training on endothelial transcriptional profiles in healthy swine: a genome-wide microarray analysis.
Specimen part, Treatment
View SamplesDefects in neutrophil number and survival are common to both hematologic disorders and chronic inflammatory diseases. At sites of inflammation, neutrophils respond to multiple signals that activate protein kinase A (PKA) signalling, which positively regulates neutrophil survival. We aimed to study the transcriptional responses to several stimuli in human neutrophils.
NR4A orphan nuclear receptor family members, NR4A2 and NR4A3, regulate neutrophil number and survival.
Specimen part
View SamplesNeutrophils were isolated form peripheral blood of wildtype and Phd3 null mice, cultured for 4 hours in hypoxia (3% O2) and micro array analysis performed
Prolyl hydroxylase 3 (PHD3) is essential for hypoxic regulation of neutrophilic inflammation in humans and mice.
Specimen part, Treatment
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Role of SWI/SNF in acute leukemia maintenance and enhancer-mediated Myc regulation.
Specimen part, Cell line, Treatment
View SamplesCancer cells frequently depend on chromatin regulatory activities to maintain a malignant phenotype. Here, we show that leukemia cells require the mammalian SWI/SNF chromatin remodeling complex for their survival and aberrant self-renewal potential. While Brg1, an ATPase subunit of SWI/SNF, is known to suppress tumor formation in several cancer types, we found that leukemia cells instead rely on Brg1 to support their oncogenic transcriptional program, which includes Myc as one of its key targets. To account for this context-specific function, we identify a cluster of lineage-specific enhancers located 1.7 megabases downstream of Myc that are occupied by SWI/SNF, as well as the BET protein Brd4. Brg1 is required at these distal elements to maintain transcription factor occupancy and for long-range chromatin looping interactions with the Myc promoter. Notably, these distal Myc enhancers coincide with a region that is focally amplified in 3% of acute myeloid leukemia. Together, these findings define a leukemia maintenance function for SWI/SNF that is linked to enhancer-mediated gene regulation, providing general insights into how cancer cells exploit transcriptional coactivators to maintain oncogenic gene expression programs Overall design: To profile the basal transcription level, we performed NSR and PolyA+ (illumine TruSeq) in a murine AML RN2 cell lines. To define the rapid downregulated genes in response to JQ1, BET bromodomian inhibitor, in RN2 cell, we performed RNA-seq in RN2 exposing to 250nM JQ1 for 48h time course.
Role of SWI/SNF in acute leukemia maintenance and enhancer-mediated Myc regulation.
No sample metadata fields
View SamplesCancer cells frequently depend on chromatin regulatory activities to maintain a malignant phenotype. Here, we show that leukemia cells require the mammalian SWI/SNF chromatin remodeling complex for their survival and aberrant self-renewal potential. While Brg1, an ATPase subunit of SWI/SNF, is known to suppress tumor formation in several cancer types, we found that leukemia cells instead rely on Brg1 to support their oncogenic transcriptional program, which includes Myc as one of its key targets. To account for this context-specific function, we identify a cluster of lineage-specific enhancers located 1.7 megabases downstream of Myc that are occupied by SWI/SNF, as well as the BET protein Brd4. Brg1 is required at these distal elements to maintain transcription factor occupancy and for long-range chromatin looping interactions with the Myc promoter. Notably, these distal Myc enhancers coincide with a region that is focally amplified in 3% of acute myeloid leukemia. Together, these findings define a leukemia maintenance function for SWI/SNF that is linked to enhancer-mediated gene regulation, providing general insights into how cancer cells exploit transcriptional coactivators to maintain oncogenic gene expression programs
Role of SWI/SNF in acute leukemia maintenance and enhancer-mediated Myc regulation.
Specimen part, Cell line
View SamplesZFHX4 and CHD4 suppression independently shift tumor initiating cells out of a stem like state and toward a differentiated morphology.
ZFHX4 interacts with the NuRD core member CHD4 and regulates the glioblastoma tumor-initiating cell state.
Cell line
View SamplesThe purpose of this experiment was to identify genes responding differently to a 24 h low red to far red ratio (R:FR) treatment in plants grown at 16 and 22 degrees
Light-quality regulation of freezing tolerance in Arabidopsis thaliana.
Age
View SamplesMotivation: RNA-seq is replacing microarrays as the primary tool for gene expression studies. Many RNA-seq studies have used insufficient biological replicates, resulting in low statistical power and inefficient use of sequencing resources. Results: We show the explicit trade-off between more biological replicates and deeper sequencing in increasing power to detect differentially expressed (DE) genes. In the human cell line MCF-7, adding more sequencing depth after 10M reads gives diminishing returns on power to detect DE genes, while adding biological replicates improves power significantly regardless of sequencing depth. We also propose a cost-effectiveness metric for guiding the design of large scale RNA-seq DE studies. Our analysis showed that sequencing less reads and perform more biological replication is an effective strategy to increase power and accuracy in large scale differential expression RNA-seq studies, and provided new insights into efficient experiment design of RNA-seq studies Overall design: Treatment (10nM E2 treatment for 24h) and control MCF7 cells are both replicated 7 times, and collected for mRNA-seq. Reads are then subsampled for statistical analysis.
RNA-seq differential expression studies: more sequence or more replication?
No sample metadata fields
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