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accession-icon GSE40677
Gene expression analysis in mice with heart muscle-specific repression of CELF activity (MHC-CELFdelta)
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Members of the CUG-BP, Elav-like family (CELF) regulate alternative splicing in the heart. In MHC-CELFdelta transgenic mice, CELF splicing activity is inhibited postnatally in heart muscle via expression of a nuclear dominant negative CELF protein under an a-myosin heavy chain promoter. MHC-CELFdelta mice develop dilated cardiomyopathy characterized by alternative splicing defects, enlarged hearts, and severe contractile dysfunction. In this study, gene expression profiles in the hearts of wild type, high- and low-expressing lines of MHC-CELFdelta mice were compared using microarrays. Gene ontology and pathway analyses identified contraction and calcium signaling as the most affected processes. Network analysis revealed that the serum response factor (SRF) network is highly affected. Downstream targets of SRF were up-regulated in MHC-CELFdelta mice compared to the wild type, suggesting an increase in SRF activity. Although SRF levels remained unchanged, known inhibitors of SRF activity were down-regulated. These results suggest a role for CELF-mediated alternative splicing in the regulation of contractile gene expression, achieved in part through modulating the activity of SRF, a key cardiac transcription factor.

Publication Title

Gene expression analyses implicate an alternative splicing program in regulating contractile gene expression and serum response factor activity in mice.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon SRP056627
CELF1, and RNA binding protein, regulates transcript networks in cultured embryonic cardiomyocytes.
  • organism-icon Gallus gallus
  • sample-icon 15 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We report on the regulation of transcripts following siRNA-mediated depletion of an RNA binding protein, CELF1, in primary chicken embryonic cardiomyocytes in culture. Overall design: Cultured chicken primary embryonic cardiomyocytes (isolated from embryonic day 8 hearts) were transfected with siRNA against CELF1 (n=3) or mock transfected (n=3) at 24 hours in culture.

Publication Title

Identification of Targets of CUG-BP, Elav-Like Family Member 1 (CELF1) Regulation in Embryonic Heart Muscle.

Sample Metadata Fields

Specimen part, Treatment, Subject

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accession-icon GSE49200
An oncogenic Kras expression signature identified by cross-species
  • organism-icon Mus musculus
  • sample-icon 50 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

Mouse lung cancers were generated using the KrasLA model, in which a latent mutated Kras2 allele (resulting in the amino acid substitution G12D) is sporadically activated through spontaneous homologous recombination. These mice develop lung adenomas with full penetrance; over time, the tumors acquire morphologic characteristics reminiscent of those of human adenocarcinoma, such as nuclear atypia and a high mitotic index.

Publication Title

An oncogenic KRAS2 expression signature identified by cross-species gene-expression analysis.

Sample Metadata Fields

Specimen part

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accession-icon GSE13471
Expression data from human normal pre-frontal cortex, liver, and colon tissues and colon tumors
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

DNA methylation, at CpG islands and promoters, is often inversely correlated with gene expression.

Publication Title

The human colon cancer methylome shows similar hypo- and hypermethylation at conserved tissue-specific CpG island shores.

Sample Metadata Fields

Specimen part

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accession-icon GSE117853
Gene expression and methylation profile of Human non-functional Pancreatic neuroendocrine tumors (PanNETs)
  • organism-icon Homo sapiens
  • sample-icon 47 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

ATRX, DAXX or MEN1 mutant pancreatic neuroendocrine tumors are a distinct alpha-cell signature subgroup.

Sample Metadata Fields

Specimen part

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accession-icon GSE117851
Gene expression profile of Human non-functional Pancreatic neuroendocrine tumors (PanNETs)
  • organism-icon Homo sapiens
  • sample-icon 47 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Gene expression profiling of PanNETs patients samples were performed to understand genotype to phenotype correlations, novel molecular subtypes and cell of origin

Publication Title

ATRX, DAXX or MEN1 mutant pancreatic neuroendocrine tumors are a distinct alpha-cell signature subgroup.

Sample Metadata Fields

Specimen part

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accession-icon SRP156049
Transcriptome of human non-functional pancreatic neuroendocrine tumors (PanNETs)
  • organism-icon Homo sapiens
  • sample-icon 31 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The most commonly mutated genes in pancreatic neuroendocrine tumors (PanNETs) are ATRX, DAXX, and MEN1. Little is known about the cells-of-origin for non-functional neuroendocrine tumors. Here, we genotyped 64 PanNETs for mutations in ATRX, DAXX, and MEN1 and found 37 tumors (58%) carry mutations in these three genes (A-D-M mutant PanNETs) and this correlates with a worse clinical outcome than tumors carrying the wild-type alleles of all three genes (A-D-M WT PanNETs). We performed RNA sequencing and DNA-methylation analysis on 33 randomly selected cases to reveal two distinct subgroups with one group consisting entirely of A-D-M mutant PanNETs. Two biomarkers differentiating A-D-M mutant from A-D-M WT PanNETs were high ARX gene expression and low PDX1 gene expression with PDX1 promoter hyper-methylation in the A-D-M mutant PanNETs. Moreover, A-D-M mutant PanNETs had a gene expression signature related to that of alpha cells (pval < 0.009) of pancreatic islets including increased expression of HNF1A and its transcriptional target genes. This gene expression profile suggests that A-D-M mutant PanNETs originate from or transdifferentiate into a distinct cell type similar to alpha cells. Overall design: Evaluation of Cell of origins for non-functional PanNETs and genotype to phenotype correlations in PanNETs

Publication Title

ATRX, DAXX or MEN1 mutant pancreatic neuroendocrine tumors are a distinct alpha-cell signature subgroup.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE18111
Human iPS cells and fibroblasts
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Differential methylation of tissue- and cancer-specific CpG island shores distinguishes human induced pluripotent stem cells, embryonic stem cells and fibroblasts.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE18226
Expression data from human iPS cells and fibroblasts
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

DNA methylation is often inversely correlated with gene expression.

Publication Title

Differential methylation of tissue- and cancer-specific CpG island shores distinguishes human induced pluripotent stem cells, embryonic stem cells and fibroblasts.

Sample Metadata Fields

Cell line

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accession-icon GSE68907
caArray_golub-00142: Gene expression correlates of clinical prostate cancer behavior
  • organism-icon Homo sapiens
  • sample-icon 102 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95 Version 2 Array (hgu95av2)

Description

Prostate tumors are among the most heterogeneous of cancers, both histologically and clinically. Microarray expression analysis was used to determine whether global biological differences underlie common pathological features of prostate cancer and to identify genes that might anticipate the clinical behavior of this disease. While no expression correlates of age, serum prostate specific antigen (PSA), and measures of local invasion were found, a set of genes was identified that strongly correlated with the state of tumor differentiation as measured by Gleason score. Moreover, a model using gene expression data alone accurately predicted patient outcome following prostatectomy. These results support the notion that the clinical behavior of prostate cancer is linked to underlying gene expression differences that are detectable at the time of diagnosis.

Publication Title

Gene expression correlates of clinical prostate cancer behavior.

Sample Metadata Fields

Specimen part

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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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