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accession-icon GSE26459
High-throughput ectopic expression screen for tamoxifen resistance
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Resistance to tamoxifen in breast cancer patients is a serious therapeutic problem and major efforts are underway to understand underlying mechanisms. Resistance can be either intrinsic or acquired. We derived a series of subcloned MCF7 cell lines that were either highly sensitive or naturally resistant to tamoxifen and studied the factors that lead to drug resistance. Gene-expression studies revealed a signature of 67 genes that differentially respond to tamoxifen in sensitive vs. resistant subclones, which also predicts disease-free survival in tamoxifen-treated patients. High-throughput cell-based screens, in which >500 human kinases were independently ectopically expressed, identified 31 kinases that conferred drug resistance on sensitive cells. One of these, HSPB8, was also in the expression signature and, by itself, predicted poor clinical outcome in one cohort of patients. Further studies revealed that HSPB8 protected MCF7 cells from tamoxifen and blocked autophagy. Moreover, silencing HSBP8 induced autophagy and caused cell death. Tamoxifen itself induced autophagy in sensitive cells but not in resistant ones, and tamoxifen-resistant cells were sensitive to the induction of autophagy by other drugs. These results may point to an important role for autophagy in the sensitivity to tamoxifen.

Publication Title

High-throughput ectopic expression screen for tamoxifen resistance identifies an atypical kinase that blocks autophagy.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE23642
Expression data from Xenopus anterior gut RFX6 knockdown
  • organism-icon Xenopus laevis
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Xenopus laevis Genome 2.0 Array (xlaevis2)

Description

Recently a new neonatal diabetes syndrome, Mitchell-Riley syndrome, was discovered. To identify the genetic cause of the syndrome homozygosity mapping was used, several chromosomal regions were linked to Mitchell-Riley syndrome. In situ hybridization of genes from one such region using model organism Xenopus laevis identified RFX6 as a potential candidate gene; mutant forms of RFX6 were subsequently found in Mitchell-Riley patients. Analysis of the expression pattern of RFX6 in Xenopus development shows it is expressed broadly in the endoderm early in development, and later RFX6 becomes restricted to the endocrine cells of the gut and pancreas. Morpholino knockdown of RFX6 in Xenopus caused a loss of pancreas marker gene expression. Injection of exogenous wild type RFX6 rescued the morpholino phenotype in Xenopus tadpoles. Attempts to rescue the loss-of-function phenotype using mutant forms of RFX6 found in Mitchell-Riley patients were unsuccessful suggesting the changes lead to loss-of-function and could be the cause of Mitchell-Riley syndrome. Microarray analysis of gene expression in knockdown tissue suggested a downregulation in marker genes for lung, stomach and heart, ambiguous results for the liver, and an upregulation in kidney marker gene expression. RT-PCR and in situ hybridization confirms a loss of lung, stomach and heart gene expression, no change in liver marker hex and an upregulation in kidney marker KcnJ1. The fact that the morpholino phenotype affects multiple organs suggests that RFX6 has a broad role early in endoderm development.

Publication Title

Functional analysis of Rfx6 and mutant variants associated with neonatal diabetes.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE15793
Expression profiling of skeletal muscle following acute 2-adrenergic stimulation
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina 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

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accession-icon GSE9813
Comparison of regenerating and non regenerating transgenic stage 52 Xenopus hind limbs
  • organism-icon Xenopus laevis
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Xenopus laevis Genome Array (xenopuslaevis)

Description

Epimorphic regeneration is the process by which complete regeneration of a complex structure such as a limb occurs through production of a proliferating blastema. This type of regeneration is rare among vertebrates but does occur in the African clawed frog Xenopus laevis, traditionally a model organism for the study of early development. Xenopus tadpoles can regenerate tails, limb buds and the lens of the eye, although the ability of the latter two organs to regenerate diminishes with advancing developmental stage. Using a heat shock inducible transgene that remains silent unless activated, we have established a stable line of transgenic Xenopus in which the BMP inhibitor Noggin can be over-expressed at any time during development. We have previously shown that activation of this transgene blocks regeneration of the tail and limb of Xenopus tadpoles. In the current study, we have taken advantage of this transgenic line to directly compare gene expression in same stage regenerating vs. non-regenerating hind limb buds. Using Affymetrix gene chip analysis, we have identified genes whose expression levels are linked to regenerative success. These include the BMP inhibitor Gremlin and the stress protein Hsp60 (no blastema in zebrafish). Analysis of overrepresented Gene Ontology functional groupings suggests that successful regeneration in the Xenopus hind limb depends on induction of stress response pathways. Furthermore, as expected, genes involved in embryonic development and growth are also significantly over-represented in regenerating early hind limb buds.

Publication Title

Identification of genes associated with regenerative success of Xenopus laevis hindlimbs.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE58643
An epigenetically distinct breast cancer cell subpopulation promotes collective invasion
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge IconIllumina 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

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accession-icon SRP050071
Inhibition of miR-29 has a significant lipid-lowering benefit through suppression of lipogenic programs in liver
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina 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

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accession-icon SRP158109
Next Generation Sequencing of ovarian CA-MSC & MSC Transcriptomes
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge IconIllumina 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

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accession-icon SRP065219
Transcriptome response to 4h IL-1b stimulation of primary chondrocytes
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

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

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accession-icon SRP152980
RNA-sequencing of Control and TLE3-deficient Beige Adipocytes
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina 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

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accession-icon SRP033554
High-throughput integration of metabolic and transcriptional profiles reveals major metabolic regulators of macrophage polarization
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina 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

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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