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accession-icon GSE36664
Temporal transcriptional profiling of growth resumption following polyamine-depletion
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Polyamines are absolutely required for cell growth and proliferation. While polyamine depletion results in reversible cell cycle arrest, the actual mechanism of growth inhibition is still obscure.

Publication Title

Expression profiling and biochemical analysis suggest stress response as a potential mechanism inhibiting proliferation of polyamine-depleted cells.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE36445
Temporal transcriptional profiling of polyamine-depleted NIH3T3 cells
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Polyamines are absolutely required for cell growth and proliferation. While polyamine depletion results in reversible cell cycle arrest, the actual mechanism of growth inhibition is still obscure.

Publication Title

Expression profiling and biochemical analysis suggest stress response as a potential mechanism inhibiting proliferation of polyamine-depleted cells.

Sample Metadata Fields

Cell line, Time

View Samples
accession-icon GSE24752
Microarray Analysis of differential gene expression in peripheral blood cells of patients with human essential hypertension
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The polygenic nature of essential hypertension and its dependence on environmental factors pose a challenge for biomedical research. We hypothesized that microarray analysis of differential gene expression in peripheral blood cells would distinguish patients with hypertension from normotensive controls.

Publication Title

Microarray analysis of differential gene expression profile in peripheral blood cells of patients with human essential hypertension.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE3218
Expression Profiling of Adult Male Germ Cell Tumors
  • organism-icon Homo sapiens
  • sample-icon 214 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Expression profiling of a panel of 101 adult male germ cell tumors and 5 normal testis specimens was performed on Affymetrix U133A and U133B microarrays. This data has been used to:

Publication Title

Down-regulation of stem cell genes, including those in a 200-kb gene cluster at 12p13.31, is associated with in vivo differentiation of human male germ cell tumors.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE10783
Validation Set for Prediction of Outcome in Adult Male Germ Cell Tumors
  • organism-icon Homo sapiens
  • sample-icon 68 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

This series represents expression profiles of 34 non-seminoma germ cell tumors (NSGCTs) from patients who received cisplatin based chemotherarpy for treatment of their disease for whom full clinical follow-up information was available. These specimens were used as a validation set to test outcome prediction models using a subset of previously profiled GCT specimens (see GEO accession #GSE3218).

Publication Title

Identification and validation of a gene expression signature that predicts outcome in adult men with germ cell tumors.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE23310
Uncovering Genes and Regulatory Pathways Related to Urinary Albumin Excretion in Mice
  • organism-icon Mus musculus
  • sample-icon 173 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Identifying the genes underlying quantitative trait loci (QTL) for disease has proven difficult, mainly due to the low resolution of the approach and the complex genetics involved. However, recent advances in bioinformatics and the availability of genetic resources now make it possible to narrow the genetic intervals and test candidate genes. In addition to identifying the causative genes, defining the pathways that are affected by these QTL is of major importance as it can give us insight into the disease process and provide evidence to support candidate genes. In this study we mapped three significant and one suggestive QTL on Chromosomes (Chrs) 1, 4, 15, and 17, respectively, for increased albumin excretion (measured as albumin-to-creatinine ratio) in a cross between the MRL/MpJ and SM/J mouse inbred strains. By combining data from several sources and by utilizing gene expression data, we identified Tlr12 as a likely candidate for the Chr 4 QTL. Through the mapping of 33,881 transcripts measured by microarray on kidney RNA from each of the 173 male F2 animals, we identified several downstream pathways associated with these QTL. Among these were the glycan degradation, leukocyte migration, and antigen presenting pathways. We demonstrate that by combining data from multiple sources, we can identify not only genes that are likely to be causal candidates for QTL, but also the pathways through which these genes act to alter phenotypes. This combined approach provides valuable insights into the causes and consequences of renal disease.

Publication Title

Uncovering genes and regulatory pathways related to urinary albumin excretion.

Sample Metadata Fields

Sex, Age

View Samples
accession-icon GSE2196
PDGF induction of immediate early genes in NIH3T3 cells
  • organism-icon Mus musculus
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

This experiment was performed to identify immediate early genes that were induced by PDGF specifically through Src family kinases (SFKs), MEK1/2, or PI 3-K.

Publication Title

Platelet-derived growth factor stimulates Src-dependent mRNA stabilization of specific early genes in fibroblasts.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP059511
Cellular androgen content influences enzalutamide agonism of F877L mutant androgen receptor
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Prostate cancer is the most commonly diagnosed and second-most lethal cancer among men in the United States. The vast majority of prostate cancer deaths are due to castration-resistant prostate cancer (CRPC) – the lethal form of the disease that has progressed despite therapies that interfere with activation of androgen receptor (AR) signaling. One emergent resistance mechanism to medical castration is synthesis of intratumoral androgens that activate the AR. This insight led to the development of the AR antagonist enzalutamide. However, resistance to enzalutamide invariably develops, and disease progression is nearly universal. One mechanism of resistance to enzalutamide is an F877L mutation in the AR ligand-binding domain that can convert enzalutamide to an agonist of AR activity. However, mechanisms that contribute to the agonist switch had not been fully clarified, and there were no therapies to block AR F877L. Using cell line models of castration-resistant prostate cancer (CRPC), we determined that cellular androgen content influences enzalutamide agonism of mutant F877L AR. Further, enzalutamide treatment of AR F877L-expressing cell lines recapitulated the effects of androgen activation of F877L AR or wild-type AR. Because the BET bromodomain inhibitor JQ-1 was previously shown to block androgen activation of wild-type AR, we tested JQ-1 in AR F877L-expressing CRPC models. We determined that JQ-1 suppressed androgen or enzalutamide activation of mutant F877L AR and suppressed growth of mutant F877L AR CRPC tumors in vivo, demonstrating a new strategy to treat tumors harboring this mutation. Overall design: RNA-seq profiles of prostate cancer cell lines to understand gene expression associated with enzalutamide treatment

Publication Title

Cellular androgen content influences enzalutamide agonism of F877L mutant androgen receptor.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP175072
Safety profiling of genetically engineered Pim-1 kinase overexpression for oncogenicity risk in human c-kit+ cardiac interstitial cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

Bulk RNA-seq to profile of c-kit+ cardiac interstitial cells, comparing the transcriptomes of Pim-1 enhanced cardiac progenitor cells and transfection control Overall design: Transcriptional profiling of Pim-1 enhanced human derived cardiac interstitial cells by bulk RNA-Seq

Publication Title

Safety profiling of genetically engineered Pim-1 kinase overexpression for oncogenicity risk in human c-kit+ cardiac interstitial cells.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE65461
Transcriptome changes following loss of Apc in the intestine
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Nearly all colorectal cancers have dysregulated Wnt signalling, predominantly through the mutation of the Apc (Adenomatous Polyposis Coli) gene. Therefore it is of vital importance to elucidate the key Wnt target genes in intestinal cells in vivo. We have used a novel inducible cre-lox based murine system (designated ApcFlox) to investigate the consequences of perturbation of Wnt signalling following inactivation of Apc in vivo within 100% of the intestinal epithelium. We have employed microarray analysis at 3 time points within our ApcFlox system (Day 3 prior to the onset of phenotype, day 4 the establishment of the phenotype and day 5 gross phenotype of altered proliferation, differentiation and migration) and from adenomas arising in the ApcMin/+ background allowing us characterise Wnt/beta-catenin target genes based on their expression profiles during different stages of intestinal tumourigenesis. Furthermore, we have employed microarray analysis using livers from our ApcFlox system and have demonstrated that there is very little overlap in the Wnt target genes induced by Apc loss in the liver and the intestine. More importantly, we have been able to determine a novel set of putative Wnt/beta-catenin target genes which are upregulated at both early and late stages of tumourigenesis in the intestine and may represent novel therapeutic targets in colon cancer.

Publication Title

Hunk/Mak-v is a negative regulator of intestinal cell proliferation.

Sample Metadata Fields

Specimen part

View Samples
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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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