refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 31 results
Sort by

Filters

Technology

Platform

accession-icon GSE27526
ChIP-seq defined genome-wide map of TGFbeta/SMAD4 targets: implications with clinical outcome of ovarian cancer patients
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Deregulation of the transforming growth factor- (TGF) signaling pathway in epithelial ovarian cancer has been reported, but the precise mechanism underlying disrupted TGF signaling in the disease remains unclear. We performed chromatin immunoprecipitation followed by sequencing (ChIP-seq) to investigate genome-wide screening of TGF-induced SMAD4 binding in epithelial ovarian cancer. Following TGF stimulation of the A2780 epithelial ovarian cancer cell line, we identified 2,362 SMAD4 binding loci and 318 differentially expressed SMAD4 target genes. Comprehensive examination of SMAD4-bound loci, revealed four distinct binding patterns: 1) Basal; 2) Shift; 3) Stimulated Only; 4) Unstimulated Only. SMAD4-bound loci were primarily classified as either Stimulated only (74%) or Shift (25%), indicating that TGF-stimulation alters SMAD4 binding patterns in epithelial ovarian cancer cells compared to normal epithelial cells. Furthermore, based on gene regulatory network analysis, we determined that the TGF-induced SMAD4-dependent regulatory network was strikingly different in ovarian cancer compared to normal cells. Importantly, the TGF/SMAD4 target genes identified in the A2780 epithelial ovarian cancer cell line were predictive of patient survival, based on in silico mining of publically available patient data bases. In conclusion, our data highlight the utility of next generation sequencing technology to identify genome-wide SMAD4 target genes in epithelial ovarian cancer. The results link aberrant TGF/SMAD signaling to ovarian tumorigenesis. Furthermore, the identified SMAD4 binding loci, combined with gene expression profiling and in silico data mining of patient cohorts, may provide a powerful approach to determine potential gene signatures with biological and future translational research in ovarian and other cancers.

Publication Title

ChIP-seq defined genome-wide map of TGFβ/SMAD4 targets: implications with clinical outcome of ovarian cancer.

Sample Metadata Fields

Cell line, Treatment

View Samples
accession-icon GSE55410
Gene expression analysis of samples from a phase II clinical trial of decitatbine in combination with carboplatin in patients with recurrent, platinum resistant epithelial ovarian cancer patients
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Gene expression (by Affymetrix GeneChip Human 1.0ST) profiling of biopsy samples from recurrent, platinum resistant epithelial ovarian cancer patients before and after treatment of decitabine in combination with carboplatin. The Illumina Infinium 27k Human DNA methylation Beadchip v1.2 was used to obtain DNA methylation profiles across approximately 27,000 CpGs in PBMC (14 paired samples), tumor (8 paired samples) and ascites (6 paired samples) (GSE31826).

Publication Title

Decitabine reactivated pathways in platinum resistant ovarian cancer.

Sample Metadata Fields

Age

View Samples
accession-icon GSE9545
Gene Expression Profiles Associated with Ethanol-Induced Teratogenic Effects in a C57BL/6 Mouse Embryo Culture Model
  • organism-icon Mus musculus
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

Mouse model for Fetal Alcohol Syndrome. Embryos exposed to alcohol in controlled environment to assess teratogenic effects.

Publication Title

Identification of transcription factor and microRNA binding sites in responsible to fetal alcohol syndrome.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE15709
Expression and methylation data from A2780 (cisplatin-sensitive) and Round5 A2780 (cisplatin-resistant) cell lines
  • organism-icon Homo sapiens
  • sample-icon 10 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

Integrated analysis of DNA methylation and gene expression reveals specific signaling pathways associated with platinum resistance in ovarian cancer.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE15372
Expression data from A2780 (cisplatin-sensitive) and Round5 A2780 (cisplatin-resistant) cell lines.
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Cisplatin and carboplatin are the primary first-line therapies for the treatment of ovarian cancer. However, resistance to these platinum-based drugs occurs in the large majority of initially responsive tumors, subsequently resulting in a poor long-term prognosis. To model the onset of drug resistance, we measured gene expression alterations associated with cisplatin resistance.

Publication Title

Integrated analysis of DNA methylation and gene expression reveals specific signaling pathways associated with platinum resistance in ovarian cancer.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE19777
Antisense miRNA-221/222 (si221/222) and control inhibitor (GFP) treated fulvestrant-resistant breast cancer cells
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Full title: Expression data from antisense miRNA-221/222 (si221/222) and control inhibitor (GFP) treated fulvestrant-resistant breast cancer cells

Publication Title

MicroRNA-221/222 confers breast cancer fulvestrant resistance by regulating multiple signaling pathways.

Sample Metadata Fields

Cell line, Treatment

View Samples
accession-icon GSE5840
The expression patterns of 17b-estradiol responsive genes in wt MCF7, OHT resistant MCF7 and ICI resistant MCF7
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Compare the expression pattern of 17b-estradiol responsive genes in parent, OHT-resistant and ICI-resistant breast cancer cells.

Publication Title

Diverse gene expression and DNA methylation profiles correlate with differential adaptation of breast cancer cells to the antiestrogens tamoxifen and fulvestrant.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP041252
Effects of LKB1/STK11 expression on MDA-MB-231 triple-negative breast cancer cells
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

MDA-MB-231 cells transfected with pcDNA-vector or pcDNA-LKB1 were analyzed for changes in gene expression. Results provide insight into genes regulated by LKB1 signaling with implications in tumor and metastasis suppression in breast cancer. Overall design: 4 samples, duplicates of -vector and -LKB1 stable cell lines

Publication Title

Regulation of triple-negative breast cancer cell metastasis by the tumor-suppressor liver kinase B1.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE6653
Gene expression analysis of IOSE cells treated with TGFb1, a time course study
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Unlike ovarian cancer, normal ovarian epithelium response to TGFb1 induced growth inhibition. This time course study tried to idenify genes that showed changes after additionof TGFb1 in immortalized ovarian surface epithelial cells (IOSE) which is derived from normal ovarian epithelial cells

Publication Title

An integrative ChIP-chip and gene expression profiling to model SMAD regulatory modules.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE40686
Foxp3 exploits a preexistent enhancer landscape for regulatory T cell lineage specification
  • organism-icon Mus musculus
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Foxp3 exploits a pre-existent enhancer landscape for regulatory T cell lineage specification.

Sample Metadata Fields

Specimen part

View Samples

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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

Powered by Alex's Lemonade Stand Foundation

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.

BSD 3-Clause LicensePrivacyTerms of UseContact