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accession-icon GSE7127
63 Melanoma cell lines
  • organism-icon Homo sapiens
  • sample-icon 57 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

63 melanoma cell lines hybridized to Affymetrix Hu133_Plus 2 oligo arrays. The aim of this study was to identify potential downstream targets of key oncogenes and TSGs in melanoma (including p14ARF, p16INK4A, BRAF etc).

Publication Title

Confirmation of a BRAF mutation-associated gene expression signature in melanoma.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE32492
Identification of Candidate Tumor Suppressor Genes Inactivated by Promoter Methylation in Melanoma
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina human-6 v2.0 expression beadchip

Description

Tumor suppressor genes (TSGs) are sometimes inactivated by transcriptional silencing through promoter hypermethylation. To identify novel methylated TSGs in melanoma, we carried out global mRNA expression proling on a panel of 12 melanoma cell lines treated with a combination of 5-Aza-2-deoxycytidine (5AzadC) and an inhibitor of histone deacetylase, Trichostatin A. Reactivation of gene expression after drug treatment was assessed using Illumina whole-genome microarrays. After qRT-PCR conrmation, we followed up 8 genes (AKAP12, ARHGEF16, ARHGAP27, ENC1, PPP1R3C, PPP1R14C, RARRES1, and TP53INP1) by quantitative DNA methylation analysis using mass spectrometry of base-specic cleaved amplication products in panels of melanoma cell lines and fresh tumors. PPP1R3C, ENC1, RARRES1, and TP53INP1, showed reduced mRNA expression in 3559% of the melanoma cell lines compared to melanocytes and which was correlated with a high proportion of promoter methylation (>4060%). The same genes also showed extensive promoter methylation in 625% of the tumor samples, thus conrming them as novel candidate TSGs in melanoma.

Publication Title

Identification of candidate tumor suppressor genes inactivated by promoter methylation in melanoma.

Sample Metadata Fields

Disease, Disease stage, Cell line, Treatment

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accession-icon GSE7152
Melanoma cell lines involved in the p14ARF genotype analysis
  • organism-icon Homo sapiens
  • sample-icon 33 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

35 Melanoma cell lines hybridized to Affymetrix Hu133_Plus 2 microarrays were analysed for genes differentially expressed between cell lines carrying wild-type p14ARF and those with mutant 14ARF. All of these cell lines contained wild-type p53 (so that the effects of p14ARF mutations could be analysed without contamination from p53).

Publication Title

Gene expression profiling in melanoma identifies novel downstream effectors of p14ARF.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE65343
Expression data from Incidental vs. Surgical BPH samples
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.1 ST Array (hugene21st)

Description

used to identify differences between tissues from patients undergoing surgery for BPH with unresolved symptoms compared to incidental BPH from patients with prostate cancer

Publication Title

Surgical intervention for symptomatic benign prostatic hyperplasia is correlated with expression of the AP-1 transcription factor network.

Sample Metadata Fields

Specimen part

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accession-icon GSE7036
Expression profiling in monozygotic twins discordant for bipolar disorder
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To identify genes dysregulated in bipolar disorder (BD1) we carried out global gene expression profiling using whole-genome microarrays. To minimize genetic variation in gene expression levels between cases and controls we compared expression profiles in lymphoblastoid cell lines from monozygotic twin pairs discordant for the disease. We identified 82 genes that were differentially expressed by 1.3-fold in 3 BD1 cases compared to their co-twins, and which were statistically (p 0.05) differentially expressed between the groups of BD1 cases and controls. Using qRT-PCR we confirmed the differential expression of some of these genes, including: KCNK1, MAL, PFN2, TCF7, PGK1, and PI4KCB, in at least 2 of the twin pairs. In contrast to the findings of a previous study by Kakiuchi and colleagues with similar discordant BD1 twin design1 our data do not support the dysregulation of XBP1 and HSPA5. From pathway and gene ontology analysis we identified up-regulation of the WNT signalling pathway and the biological process of apoptosis. The differentially regulated genes and pathways identified in this study may provide insights into the biology of BD1.

Publication Title

Expression profiling in monozygotic twins discordant for bipolar disorder reveals dysregulation of the WNT signalling pathway.

Sample Metadata Fields

Sex

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accession-icon GSE112585
Expression data from healthy murine bronchial epithelial cells and syngeneic murine lung squamous carcinoma (LUSC) from DBA2 mice.
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.1 ST Array (mogene21st)

Description

The process of lung squamous carcinoma tumorigenesis and metastasis is poorly characterized. Additionally, few models of this process exist in an immune-competent context. In order to address this problem, we utilized the KLN-205 lung squamous carcinoma cell lines that is derived from carcinogen exposure in DBA2 mice.

Publication Title

Factor XIIIA-expressing inflammatory monocytes promote lung squamous cancer through fibrin cross-linking.

Sample Metadata Fields

Specimen part

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accession-icon GSE7624
Expression Profiles of Monozygotic Twin
  • organism-icon Homo sapiens
  • sample-icon 33 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The expression level for 15 887 transcripts in lymphoblastoid cell lines from 19 monozygotic twin pairs (10 male, 9 female) were analysed for the effects of genotype and sex. On an average, the effect of twin pairs explained 31% of the variance in normalized gene expression levels, consistent with previous broad sense heritability estimates. The effect of sex on gene expression levels was most noticeable on the X chromosome, which contained 15 of the 20 significantly differentially expressed genes. A high concordance was observed between the sex difference test statistics and surveys of genes escaping X chromosome inactivation. Notably, several autosomal genes showed significant differences in gene expression between the sexes despite much of the cellular environment differences being effectively removed in the cell lines. A publicly available gene expression data set from the CEPH families was used to validate the results. The heritability of gene expression levels as estimated from the two data sets showed a highly significant positive correlation, particularly when both estimates were close to one and thus had the smallest standard error. There was a large concordance between the genes significantly differentially expressed between the sexes in the two data sets. Analysis of the variability of probe binding intensities within a probe set indicated that results are robust to the possible presence of polymorphisms in the target sequences.

Publication Title

Replicated effects of sex and genotype on gene expression in human lymphoblastoid cell lines.

Sample Metadata Fields

Sex

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accession-icon GSE33338
miRNA changes in mild and moderate emphysema correlate with target gene expression in vivo and in vitro
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

MicroRNA-34c is associated with emphysema severity and modulates SERPINE1 expression.

Sample Metadata Fields

Sex, Age, Cell line

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accession-icon GSE7486
Gene expression analysis in absence epilepsy using a monozygotic twin design
  • organism-icon Homo sapiens
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Objective:

Publication Title

Gene expression analysis in absence epilepsy using a monozygotic twin design.

Sample Metadata Fields

Sex

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accession-icon GSE12147
Molecular characterization of novel peroxisome proliferator-activated receptor alpha agonists
  • organism-icon Mus musculus
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

The nuclear receptor PPARalpha is recognized as the primary target of the fibrate class of hypolipidemic drugs and mediates lipid lowering in part by activating a transcriptional cascade that induces genes involved in the catabolism of lipids. We report here the characterization of three novel PPARalpha agonists with therapeutic potential for treating dyslipidemia. These structurally related compounds display potent and selective binding to human PPARalpha and support robust recruitment of coactivator peptides in vitro. These compounds markedly potentiate chimeric transcription systems in cell-based assays and strikingly lower serum triglycerides in vivo. The transcription networks induced by these selective PPARalpha agonists were assessed by transcriptional profiling of mouse liver after acute and chronic treatment. The induction of several known PPARalpha target genes involved with fatty acid metabolism were observed, reflecting the expected pharmacology associated with PPARalpha activation. We also noted the downregulation of a number of genes related to immune cell function, the acute phase response, and glucose metabolism; suggesting that these compounds may have anti-inflammatory action in the mammalian liver. Taken together, these studies articulate the therapeutic promise of a selective PPARalpha agonist.

Publication Title

Molecular characterization of novel and selective peroxisome proliferator-activated receptor alpha agonists with robust hypolipidemic activity in vivo.

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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