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GSE15793
Mus musculus
16 Downloadable Samples
Illumina Mouse Ref-6 V1
Description
Systemic administration of -adrenoceptor (-AR) agonists has been found to induce skeletal muscle hypertrophy and significant metabolic changes. In the context of energy homeostasis, the importance of -AR signaling has been highlighted by the inability of 13-AR-deficient mice to regulate energy expenditure and susceptibility to diet induced obesity. However, the molecular pathways and gene expression changes that initiate and maintain these phenotypic modulations are poorly understood. Therefore, the aim of this study was to identify differential changes in gene expression in murine skeletal muscle associated with systemic acute administration of the 2-AR agonist formoterol. Skeletal muscle gene expression (from murine tibialis anterior) was profiled at both 1 and 4 hours following systemic administration of the 2-AR agonist formoterol, using 46K Illumina(R) Sentrix BeadArrays. Illumina expression profiling revealed significant expression changes in genes associated with skeletal muscle hypertrophy, myoblast differentiation, metabolism, circadian rhythm, transcription, histones, and oxidative stress.
Publication Title
Expression profiling of skeletal muscle following acute and chronic beta2-adrenergic stimulation: implications for hypertrophy, metabolism and circadian rhythm.
Sample Metadata Fields
Treatment
View Samples- Homo sapiens
- 26 Downloadable Samples
- Illumina HumanHT-12 V4.0 expression beadchip
Description
A distinct highly invasive subpopulation was identified in breast cancer cell lines. The molecular characteristics of these cells was investigated, revealing a set of genes whose high expression confers the ability to invade.
Publication Title
ΔNp63α Promotes Breast Cancer Cell Motility through the Selective Activation of Components of the Epithelial-to-Mesenchymal Transition Program.
Sample Metadata Fields
Cell line
View Samples- Mus musculus
- 12 Downloadable Samples
Illumina HiSeq 2000
Description
MicroRNAs (miRNAs) are important regulators and potential therapeutic targets of metabolic disease. In this study we show by in vivo administration of locked nucleic acid (LNA) inhibitors that suppression of endogenous miR-29 lowers plasma cholesterol levels by ~40%, commensurate with the effect of statins, and reduces fatty acid content in the liver by ~20%. Whole transcriptome sequencing of the liver reveals 883 genes dysregulated (612 down, 271 up) by inhibition of miR-29. The set of 612 down-regulated genes are most significantly over-represented in lipid synthesis pathways. Among the up-regulated genes are the anti-lipogenic deacetylase sirtuin 1 (Sirt1) and the anti-lipogenic transcription factor aryl hydrocarbon receptor (Ahr), the latter of which we demonstrate is a direct target of miR-29. In vitro radiolabeled acetate incorporation assays confirm that pharmacologic inhibition of miR-29 significantly reduces de novo cholesterol and fatty acid synthesis. Our findings indicate that miR-29 controls hepatic lipogenic programs, likely in part through regulation of Ahr and Sirt1, and therefore may represent a candidate therapeutic target for metabolic disorders such as dyslipidemia. Overall design: Hepatic mRNA profiles of C57BL/6J female mice treated with LNA against miR-29a, miR-29b and miR-29c versus saline.
Publication Title
Inhibition of miR-29 has a significant lipid-lowering benefit through suppression of lipogenic programs in liver.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 36 Downloadable Samples
- Illumina HiSeq 2000
Description
Carcinoma-associated mesenchymal stem cells (CA-MSCs) are critical stromal progenitor cells within the tumor microenvironment. We previously demonstrated that CA-MSCs differentially express BMP genes, promote tumor cell growth, increase cancer 'stemness' and chemotherapy resistance. Here we use RNA sequencing of normal omental MSCs and ovarian CA-MSCs to demonstrate CA-MSCs have global changes in gene expression. Using these expression profiles we create a unique predictive algorithm to classify CA-MSCs. Our classifier, accurately distinguishes normal omental, ovary and bone marrow MSCs from ovarian cancer CA-MSCs. Suggesting broad applicability, the model correctly classifies pancreatic and endometrial cancer CA-MSCs and distinguishes cancer associated fibroblasts (CAFs) from CA-MSCs. Using this classifier, we definitively demonstrate ovarian CA-MSCs arise from tumor mediated reprograming of local tissue MSCs. While cancer cells alone cannot induce a CA-MSC phenotype, the in vivo ovarian tumor micoenvironment (TME) can reprogram omental or ovary MSCs to protumorigenic CA-MSC (classifier score of >0.96). In vitro studies suggest that both tumor secreted factors and hypoxia are critical to induce the CA-MSC phenotype. Interestingly, while the breast cancer TME can reprogram BM MSCs into CA-MSCs, the ovarian TME cannot, demonstrating for the first time that tumor mediated CA-MSC conversion is tissue and cancer type dependent. Together these findings (1) provide a critical tool to define CA-MSCs and (2) highlight cancer cell influence on distinct normal tissues providing powerful insights into the mechanisms underlying cancer specific metastatic niche formation. Carcinoma-associated mesenchymal stem cells (CA-MSCs) are critical stromal progenitor cells within the tumor microenvironment. We previously demonstrated that CA-MSCs differentially express BMP genes, promote tumor cell growth, increase cancer 'stemness' and chemotherapy resistance. Here we use RNA sequencing of normal omental MSCs and ovarian CA-MSCs to demonstrate CA-MSCs have global changes in gene expression. Using these expression profiles we create a unique predictive algorithm to classify CA-MSCs. Our classifier, accurately distinguishes normal omental, ovary and bone marrow MSCs from ovarian cancer CA-MSCs. Suggesting broad applicability, the model correctly classifies pancreatic and endometrial cancer CA-MSCs and distinguishes cancer associated fibroblasts (CAFs) from CA-MSCs. Using this classifier, we definitively demonstrate ovarian CA-MSCs arise from tumor mediated reprograming of local tissue MSCs. While cancer cells alone cannot induce a CA-MSC phenotype, the in vivo ovarian tumor micoenvironment (TME) can reprogram omental or ovary MSCs to protumorigenic CA-MSC (classifier score of >0.96). In vitro studies suggest that both tumor secreted factors and hypoxia are critical to induce the CA-MSC phenotype. Interestingly, while the breast cancer TME can reprogram BM MSCs into CA-MSCs, the ovarian TME cannot, demonstrating for the first time that tumor mediated CA-MSC conversion is tissue and cancer type dependent. Together these findings (1) provide a critical tool to define CA-MSCs and (2) highlight cancer cell influence on distinct normal tissues providing powerful insights into the mechanisms underlying cancer specific metastatic niche formation. Overall design: mRNA profiles of 4 normal omental MSCs and 10 ovarian CA-MSCs using Illumina TruSeq RNA Sample Preparation kit and Illumina HiSeq 100bp PE sequencing.
Publication Title
Ovarian Carcinoma-Associated Mesenchymal Stem Cells Arise from Tissue-Specific Normal Stroma.
Sample Metadata Fields
Specimen part, Subject
View Samples- Homo sapiens
- 6 Downloadable Samples
- IlluminaHiSeq2000
Description
Using RNA sequencing (Illumina Hi-Seq 2000 sequencer) we report the transcriptome profile of primary human chondrocytes isolated from patients with hip osteoarthritis (OA), and the transcriptome response of these cells to 4h stimulation with IL-1ß (1ng/ml). In total, 983 long non-coding RNAs (lncRNAs) were identified, which included 642 intergenic lncRNAs (lincRNAs), 124 antisense and pseudogenes. Less than 4% of the identified lncRNAs overlapped with putative eRNAs regions, and visual inspection showed that they were uni-directional and multi-exonic. Upon IL-1ß stimulation 499 protein-coding genes were differentially expressed, and 158 lncRNAs were differentially expressed, including 92 lincRNAs, 13 antisense and 18 psudogenes. This study demonstrates that IL-1ß induces a rapid and widespread change in the transcriptome of the primary human OA chondrocyte. Overall design: RNA sequencing analysis of primary human chondrocytes isolated from n=3 patients with hip osteoarthritis, with and without 4h IL-1b (1ng/ml) stimulation
Publication Title
Long Intergenic Noncoding RNAs Mediate the Human Chondrocyte Inflammatory Response and Are Differentially Expressed in Osteoarthritis Cartilage.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 6 Downloadable Samples
- Illumina HiSeq 2500
Description
Prolonged cold exposure stimulates the recruitment of beige adipocytes within white adipose tissue. Beige adipocytes depend on mitochondrial oxidative phosphorylation to drive thermogenesis. The transcriptional coregulator TLE3 inhibits mitochondrial and metabolic gene expression in beige adipocytes. Overall design: mRNA profiles of iWAT immortalized preadipocytes, differentiated in culture, and knocking out TLE3 after differentiation, were generated by deep sequencing, in triplicate, using Illumina HiSeq 2500.
Publication Title
Loss of TLE3 promotes the mitochondrial program in beige adipocytes and improves glucose metabolism.
Sample Metadata Fields
Specimen part, Treatment, Subject
View Samples- Mus musculus
- 8 Downloadable Samples
- Illumina HiSeq 2500
Description
Macrophages polarize to divergent functional phenotypes depending on their microenvironment in a highly coordinated process of metabolic and transcriptional rewiring that is still poorly understood. We developed an Integrated Metabolomics and Gene Expression (IMAGE) profiling and analysis pipeline and applied it to extensively characterize global metabolic programs of macrophage polarization. IMAGE analysis identified 7 major (novel and known) regulatory modules responsible for metabolic rewiring during polarization, which we validated through extensive carbon and nitrogen labeling experiments. M1-specific modules included: inflammatory variant of the aspartate-arginosuccinate shunt; TCA cycle break at Idh expression accompanied by citrate accumulation and production of itaconate and fatty acid synthesis. In M2 macrophages we discovered significant role of glutamine in polarization, providing nitrogen for UDP-GlcNAc synthesis. Consistently, glutamine deprivation results in significant M2-specific defect in polarization. Our data provide, for the first time, a global view of the integrated transcriptional and metabolic changes that result in M1 and M2 polarization. Overall design: Bone-marrow derived macrophages were generated from C57BL/6 mice were plated at ~100k cells per well in 96-well plate and stimulated with either Il4 or combination of LPS&IFNg or left unstimulated for 24 h mRNA was derived from lysates using Invitrogen oligo-dT beads
Publication Title
Cell-intrinsic lysosomal lipolysis is essential for alternative activation of macrophages.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 12 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
The motor neurons innervating the muscles of facial expression are organized into somatotopic hindbrain clusters termed subnuclei. Each of the medial, intermediate, dorsolateral, and lateral subnuclei gives rise to a specific branch of the facial motor nerve (cranial nerve VII). How subnucleus-specific gene expression could mediate the accurate development of facial nerve projections was not well understood.
Publication Title
Etv1 Controls the Establishment of Non-overlapping Motor Innervation of Neighboring Facial Muscles during Development.
Sample Metadata Fields
Sex, Specimen part
View Samples- Mus musculus
- 4 Downloadable Samples
- Affymetrix Mouse Gene 1.1 ST Array (mogene11st)
Description
Krppel-like factor 3 (KLF3) is a transcriptional repressor that has roles in adipogenesis, B-cell maturation and erythropoiesis (for review see Pearson et al., 2012).
Publication Title
Regions outside the DNA-binding domain are critical for proper in vivo specificity of an archetypal zinc finger transcription factor.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 102 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Synovial fibroblasts in persistent inflammatory arthritis have been suggested to have parallels with cancer growth and wound healing, both of which involve a stereotypical serum response program. We tested the hypothesis that a serum response program can be used to classify diseased tissues, and investigated the serum response program in fibroblasts from multiple anatomical sites and two diseases. To test our hypothesis we utilized a bioinformatics approach to explore a publicly available microarray dataset including RA, OA and normal synovial tissue, then extended those findings in a new microarray dataset representing matched synovial, bone marrow and skin fibroblasts cultured from RA and OA patients undergoing arthroplasty. The classical fibroblast serum response program discretely classified RA, OA and normal synovial tissues. Analysis of low and high serum treated fibroblast microarray data revealed a hierarchy of control, with anatomical site the most powerful classifier followed by response to serum and then disease. In contrast to skin and bone marrow fibroblasts, exposure of synovial fibroblasts to serum led to convergence of RA and OA expression profiles. Pathway analysis revealed three inter-linked gene networks characterising OA synovial fibroblasts: Cell remodelling through insulin-like growth factors, differentiation and angiogenesis through 3 integrin, and regulation of apoptosis through CD44. We have demonstrated that Fibroblast serum response signatures define disease at the tissue level, and that an OA specific, serum dependent repression of genes involved in cell adhesion, extracellular matrix remodelling and apoptosis is a critical discriminator between cultured OA and RA synovial fibroblasts.
Publication Title
Stromal transcriptional profiles reveal hierarchies of anatomical site, serum response and disease and identify disease specific pathways.
Sample Metadata Fields
Specimen part, Disease
View Samples