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accession-icon SRP048246
RNA-seq analysis of withdrawal of miR-155 hyperexpression in miR-155-addicted tumors
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Overexpression of miR-155 in hematological tissue leads to the onset of lymphoma, and Tet-off shutdown of this overexpression reverses the disease phenotype in mir-155LSLtTA mice. This study compares the gene expression profiles of tumors with miR-155 overexpression and withdrawal. Overall design: Examination of mRNA from 2 conditions: miR-155 overexpressing tumors and miR-155 overexpressing tumors from mice exposed to doxycycline (DOX) for 16hrs prior to harvest; samples in triplicate; tumors generated in flanks of nude mice by subcutaneous injection of splenic cells from diseased mir-155LSLtTA mice.

Publication Title

MicroRNA silencing for cancer therapy targeted to the tumour microenvironment.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE72927
Functional Subclone Profiling for Prediction of Treatment-Induced Intratumor Population Shifts and Discovery of Rational Drug Combinations in Human Glioblastoma [expression]
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

Purpose: Investigation of clonal heterogeneity may be key to understanding mechanisms of therapeutic failure in human cancer. However, little is known on the consequences of therapeutic intervention on the clonal composition of solid tumors.

Publication Title

Functional Subclone Profiling for Prediction of Treatment-Induced Intratumor Population Shifts and Discovery of Rational Drug Combinations in Human Glioblastoma.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE31399
Optimized amplification and single-cell analysis identify GnRH-mediated activation of Rap1b in primary rat gonadotropes.
  • organism-icon Rattus norvegicus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Identifying the early gene program induced by GnRH would help understand how GnRH-activated signaling pathways modulate gonadotrope secretory response. We previously analyzed GnRH-induced early genes in LbT2 cells, however these lack GnRH self-potentiation, a physiological attribute of gonadotropes. To minimize cellular heterogeneity, rat primary pituitary cultures were enriched for gonadotropes by 40-60% using a sedimentation gradient. Given the limited number of gonadotropes, RNA was amplified prior to microarray analysis. Thirty-three genes were up-regulated 40 minutes after GnRH stimulation. Real-time PCR confirmed regulation of several transcripts including fosB, c-fos, egr-2 and rap1b, a small GTPase and member of the Ras family. GnRH stimulated rap1b gene expression in gonadotropes, measured by a sensitive single cell assay. Immunocytochemistry revealed increased Rap1 protein in GnRH-stimulated gonadotropes. These data establish rap1b as a novel gene rapidly induced by GnRH and a candidate to modulate gonadotropin secretion in rat gonadotropes.

Publication Title

Optimized amplification and single-cell analysis identify GnRH-mediated activation of Rap1b in primary rat gonadotropes.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE87364
Effect of CCAR2 depletion on the gene expression profile of BJ-hTERT and U2OS cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

A novel crosstalk between CCAR2 and AKT pathway in the regulation of cancer cell proliferation.

Sample Metadata Fields

Cell line

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accession-icon GSE87362
Effect of CCAR2 depletion on the gene expression profile of BJ-hTERT cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

CCAR2 is a nuclear protein recently emerged as a pivotal player of the DNA damage response since it has been found involved in both apoptosis induction and DNA repair. Differently, its role in tumorigenesis and cancer progression is still elusive. In our studies we found that CCAR2 depletion impairs the proliferation of human cancer cell lines, but leaves unaffected the growth of normal immortalized cells. To better investigate this point we performed a genome wide gene expression analyses in U2OS and BJ-hTERT depleted of CCAR2 and we found that loss of this protein causes the deregulation of genes implicated in the AKT pathway specifically in U2OS cells, but not in BJ-hTERT. In accordance with these results we found a reduction in AKT activation in all the tested cancer cell lines depleted of CCAR2, but not in the normal ones. The defective activation of AKT is caused by the upregulation of TRB3 gene in cancer cells depleted of CCAR2 and finally results in the reduction of GSK3 phosphorylation, prevention of G1/S transition and inhibition of cancer cell growth.

Publication Title

A novel crosstalk between CCAR2 and AKT pathway in the regulation of cancer cell proliferation.

Sample Metadata Fields

Cell line

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accession-icon GSE87363
Effect of CCAR2 depletion on the gene expression profile of U2OS cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

CCAR2 is a nuclear protein recently emerged as a pivotal player of the DNA damage response since it has been found involved in both apoptosis induction and DNA repair. Differently, its role in tumorigenesis and cancer progression is still elusive. In our studies we found that CCAR2 depletion impairs the proliferation of human cancer cell lines, but leaves unaffected the growth of normal immortalized cells. To better investigate this point we performed a genome wide gene expression analyses in U2OS and BJ-hTERT depleted of CCAR2 and we found that loss of this protein causes the deregulation of genes implicated in the AKT pathway specifically in U2OS cells, but not in BJ-hTERT. In accordance with these results we found a reduction in AKT activation in all the tested cancer cell lines depleted of CCAR2, but not in the normal ones. The defective activation of AKT is caused by the upregulation of TRB3 gene in cancer cells depleted of CCAR2 and finally results in the reduction of GSK3 phosphorylation, prevention of G1/S transition and inhibition of cancer cell growth.

Publication Title

A novel crosstalk between CCAR2 and AKT pathway in the regulation of cancer cell proliferation.

Sample Metadata Fields

Cell line

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accession-icon GSE41258
Expression data from colorectal cancer patients
  • organism-icon Homo sapiens
  • sample-icon 389 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The study consist of patients who presented at Memorial Sloan-Kettering Cancer Center with a colonic neoplasm between 1992 and 2004. Biological specimens used in this study include primary colon adenocarcinomas, adenomas, metastasis and corresponding normal mucosae.

Publication Title

Association of survival and disease progression with chromosomal instability: a genomic exploration of colorectal cancer.

Sample Metadata Fields

Sex, Age, Specimen part, Cell line, Subject

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accession-icon GSE68468
caArray_notte-00422: Molecular Dissection of Colon Cancer
  • organism-icon Homo sapiens
  • sample-icon 221 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

RNA expression data was generated as part of a colon cancer study. Samples were obtained from patients, including primary colon cancer, polyps, metastases, and matched normal mucosa (obtained from the margins of the resection). The RNA was extracted from tissue samples obtained from resections and hybridized to Affymetrix HG-U133 arrays. RNA expression data was also obtained for a few cell lines.

Publication Title

Association of survival and disease progression with chromosomal instability: a genomic exploration of colorectal cancer.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Cell line

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accession-icon SRP055413
Allele-selective Transcriptome Recruitment to Polysomes Primed for Translation: Protein-coding and Noncoding RNAs, and RNA Isoforms
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIonTorrentProton

Description

Purpose: mRNA translation into protein is highly regulated, but the role of mRNA isoforms, noncoding RNAs (ncRNAs), and genetic variants has yet to be systematically studied. Using high-throughput sequencing (RNA-seq), we have measured cellular levels of mRNAs and ncRNAs, and their isoforms, in lymphoblast cell lines (LCL) and in polysomal fractions, the latter shown to yield strong correlations of mRNAs with expressed protein levels. Analysis of allelic RNA ratios at heterozygous SNPs served to reveal genetic factors in ribosomal loading. Methods: RNA-seq was performed on cytosolic extracts and polysomal fractions (3 ribosomes or more) from three lymphoblastoid cell lines. As each RNA fraction was amplified (NuGen kit), and relative contributions from various RNA classes differed between cytosol and polysomes, the fraction of any given RNA species loaded onto polysomes was difficult to quantitate. Therefore, we focused on relative recovery of the various RNA classes and rank order of single RNAs compared to total RNA. Results: RNA-seq of coding and non-coding RNAs (including microRNAs) in three LCLs revealed significant differences in polysomal loading of individual RNAs and isoforms, and between RNA classes. Moreover, correlated distribution between protein-coding and non-coding RNAs suggests possible interactions between them. Allele-selective RNA recruitment revealed strong genetic influence on polysomal loading for multiple RNAs. Allelic effects can be attributed to generation of different RNA isoforms before polysomal loading or to differential loading onto polysomes, the latter defining a direct genetic effect on translation. Several variants and genes identified by this approach are also associated with RNA expression and clinical phenotypes in various databases. Conclusions: These results provide a novel approach using complete transcriptome RNA-seq to study polysomal RNA recruitment and regulatory variants affecting protein translation. Overall design: cells from 3 samples were grown to 5x105 cells/mL density in T75 tissue culture flask and harvested, total RNA and polysome bound RNA was sequenced by Ion Proton

Publication Title

Allele-Selective Transcriptome Recruitment to Polysomes Primed for Translation: Protein-Coding and Noncoding RNAs, and RNA Isoforms.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE98691
cIAP1 regulates the EGFR/Snai2 axis in triple negative breast cancer cells
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Inhibitor of apoptosis (IAP) proteins constitute a conserved family of molecules which regulate both apoptosis and receptor signaling. They are often deregulated in cancer cells and represent potential targets for therapy. In our work, we investigated the effect of IAP inhibition in vivo to identify novel downstream genes expressed in an IAP-dependent manner that could contribute to cancer aggressiveness. To this end, immunocompromised mice engrafted subcutaneously with the triple negative breast cancer MDA-MB231 cell line were treated with SM83, a pan-IAP inhibitor developed by us, and tumor nodules were profiled for gene expression. Our work suggests that IAP-targeted therapy could contribute to EGFR inhibition and the reduction of its downstream mediators. This approach could be particularly effective in cells characterized by high levels of EGFR and Snai2, such as triple negative breast cancer.

Publication Title

cIAP1 regulates the EGFR/Snai2 axis in triple-negative breast cancer cells.

Sample Metadata Fields

Specimen part, Treatment

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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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