Anterior tibialis removed from 3-month old muscle glycogen synthase WT or knockout mouse. RNA was extracted using GibcoBRL TRIzol Reagent and a Quiagen RNeasy kit. Targets were produced using standard Affymetrix procedures from about 5ug of total RNA. GSM40057-GSM40063 AND GSM40956.
Gene expression profiling of mice with genetically modified muscle glycogen content.
No sample metadata fields
View SamplesSpheroids are 3D multi-cell aggregates formed in non-addherent culture conditions. In ovarian cancer (OC), they serve as a vehicle for cancer cell dissemination in the peritoneal cavity. We investigated genes and networks upregulated in three dimensional (3D) versus two-dimensional (2D) culture conditions by Affymetrix gene expression profiling and identified ALDH1A1, a cancer stem cell marker as being upregulated in OC spheroids. Network analysis confirmed ALDH1A1 upregulation in spheroids in direct connection with elements of the -catenin pathway. A parallel increase in the expression levels of -catenin and ALDH1A1 was demonstrated in spheroids vs. monolayers an in successive spheroid generations by using OC cell liness and primary OC cells. The percentage of Aldefluor positive cells was significantly higher in spheroids vs. monolayers in IGROV1, A2780, SKOV3, and primary OC cells. B-catenin knock-down decreased ALDH1A1 expression and chromatin immunoprecipitation demonstrated that -catenin directly binds to the ALDH1A1 promoter. Both siRNA mediated -catenin knock-down and a novel ALDH1A1 small molecule enzymatic inhibitor described here for the first time, decreased the number of OC spheroids (p<0.001) and cell viability. These data strongly support the role of -catenin regulated ALDH1A1 in the maintenance of OC spheroids and of a stem cell phenotype and propose new ALDH1A1 inhibitors targeting this cell population.
β-Catenin-regulated ALDH1A1 is a target in ovarian cancer spheroids.
Specimen part
View Sampleswe aimed to explore the potential therapeutic effects of human mesenchymal stem cell on severe liver disease
No associated publication
Sex, Specimen part, Cell line
View SamplesAnalyze of RNA expression of Old Fibroblast and Young Fibroblast. Compare RNA expression of Old Fibroblast to RNA expression of Young Fbroblast
No associated publication
Sex, Specimen part
View Sampleswe analysis of sham fibroblast and UVA fibroblast RNA expression using RNA sequencing and compare RNA expression.
No associated publication
Sex, Specimen part
View SamplesWe generate miR-25 KO mice by Cas-9 technology, and run 5 month kidney RNA sequencing.
No associated publication
Sex, Specimen part, Cell line
View SamplesAdult neural stem cells derived from wild type and Sirt1 conditional knockout mice were treated with or without X-ray, the total RNA extracted from these cells were used for RNA sequencing.
No associated publication
Sex, Age, Specimen part, Cell line
View SamplesNo description.
No associated publication
Sex, Age, Specimen part
View SamplesOxidized phospholipids are thought to promote atherogenesis by stimulating endothelial cells (ECs) to produce inflammatory cytokines, such as IL-8. In studies with mouse models, we previously demonstrated that genetic variation in inflammatory responses of endothelial cells to oxidized lipids contributes importantly to atherosclerosis susceptibility. We now show that similar variations occur in cultured aortic ECs derived from multiple heart transplant donors. These variations were stably maintained between passages and, thus, reflect either genetic or epigenetic regulatory differences. Expression array analysis of aortic EC cultures derived from 12 individuals revealed that >1,000 genes were regulated by oxidized phospholipids. We have used the observed variations in the sampled population to construct a gene coexpression network comprised of 15 modules of highly connected genes. We show that several identified modules are significantly enriched in genes for known pathways and confirm a module enriched for unfolded protein response (UPR) genes using siRNA and the UPR inducer tunicamycin. On the basis of the constructed network, we predicted that a gene of unknown function (MGC4504) present in the UPR module is a target for UPR transcriptional activator ATF4. Our data also indicate that IL-8 is present in the UPR module and is regulated, in part, by the UPR. We validate these by using siRNA. In conclusion, we show that interindividual variability can be used to group genes into pathways and predict gene-gene regulatory relationships, thus identifying targets potentially involved in susceptibility to common diseases such as atherosclerosis.
Identification of inflammatory gene modules based on variations of human endothelial cell responses to oxidized lipids.
Cell line, Subject
View SamplesThe dendritic cell (DC) is a master regulator of immune responses. Pathogenic viruses subvert normal immune function in DCs through the expression of immune antagonists. Understanding how these antagonists interact with the host immune system requires knowledge of the underlying genetic regulatory network that operates during an uninhibited antiviral response. In order to isolate and identify this network, we studied DCs infected with Newcastle Disease Virus (NDV), which is able to stimulate innate immunity and DC maturation through activation of RIG-I signaling, but lacks the ability to evade the human interferon response. To analyze this experimental model, we developed a new approach integrating genome-wide expression kinetics and time-dependent promoter analysis. We found that the genetic program underlying the antiviral cell state transition during the first 18-hours post-infection could be explained by a single regulatory network. Gene expression changes were driven by a step-wise multi-factor cascading control mechanism, where the specific transcription factors controlling expression changed over time. Within this network, most individual genes are regulated by multiple factors, indicating robustness against virus-encoded immune evasion genes. In addition to effectively recapitulating current biological knowledge, we predicted, and validated experimentally, antiviral roles for several novel transcription factors. More generally, our results show how a genetic program can be temporally controlled through a single regulatory network to achieve the large-scale genetic reprogramming characteristic of cell state transitions.
Antiviral response dictated by choreographed cascade of transcription factors.
Specimen part, Subject
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