refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 33 results
Sort by

Filters

Technology

Platform

accession-icon GSE24592
Genomic Collaboration of Estrogen Receptor- and ERK2 in Regulating Gene and Proliferation Programs
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

The nuclear hormone receptor, estrogen receptor-alpha (ER), and MAP kinases both play key roles in hormone-dependent cancers, yet their interplay and the integration of their signaling inputs remain poorly understood. In these studies, we document that estrogen-occupied ER activates and interacts with ERK2, a downstream effector in the MAPK pathway, resulting in ERK2 and ER colocalization at chromatin binding sites across the genome of breast cancer cells.

Publication Title

Genomic collaboration of estrogen receptor alpha and extracellular signal-regulated kinase 2 in regulating gene and proliferation programs.

Sample Metadata Fields

Disease, Disease stage, Cell line, Time

View Samples
accession-icon GSE90125
Gene expression profiling of spheres from primary ovarian cancer cells and from primary fallopian tube epithelial cells
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.1 ST Array (hugene21st)

Description

The biological features of ovarian cancer stem cells (OCSC) remain elusive, mainly because 1) most studies so far have focused on cell lines that recapitulate the human disease only to a limited extend; and 2) because the identification of OCSC has relied on markers inferred from different and unrelated tumor types. Our study has harnessed the intrinsic, stemness-related properties of OCSC to identify and isolate this cell subpopulation from primary cultures freshly established from high-grade serous ovarian cancer (HGSOC), the most common and aggressive from of the disease. In addition, OCSC were compared to stem cell-enriched cultures from fallopian tube epithelium, which is the most accredited tissue of origin for HGSOC. The transcriptomes of the two cell types were compared to infer genes differentially regulated in OCSC.

Publication Title

CD73 Regulates Stemness and Epithelial-Mesenchymal Transition in Ovarian Cancer-Initiating Cells.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP163419
Transcriptomic Profile of OCI-AML-20 Cell Line
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Acute myeloid leukemia (AML) is a complex, heterogeneous disease with variable outcomes following curative intent chemotherapy. AML with inv(3) is a genetic subgroup characterized by low response rate to induction type chemotherapy and hence is among the worst long term survivorship of the AMLs. Here, we present RNA-Seq transcriptome data from OCI-AML-20, a new AML cell line with inv(3) and deletion of chromosome 7. Overall design: RNA-Seq transcriptome analysis of OCI-AML-20 cell line with three biological replicates.

Publication Title

Characterization of inv(3) cell line OCI-AML-20 with stroma-dependent CD34 expression.

Sample Metadata Fields

Disease, Cell line, Subject

View Samples
accession-icon SRP091561
ERRa/ERRg KO heart gene expression analysis
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

ERRa and ERRg are essential transcriptional regulators of cardiac metabolism and functions. Here we extend our previous studies by analyzing the transcriptome changes in ERRa/ERRg KO hearts Overall design: RNA from 16-day-old mouse hearts were used. 2-3 mice per sample, 2 samples per genotype, 4 genotypes (aHetgWT, aHetgKO, aKOgWT, aKOgKO)

Publication Title

Single-nucleus transcriptomic survey of cell diversity and functional maturation in postnatal mammalian hearts.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon GSE36401
Epigenomic enhancer profiling defines a signature of colon cancer
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Epigenomic enhancer profiling defines a signature of colon cancer.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE14990
MYC regulation of a "poor prognosis" metastatic cancer cell state
  • organism-icon Homo sapiens
  • sample-icon 15 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

MYC regulation of a "poor-prognosis" metastatic cancer cell state.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE36400
All exon array expression data in normal colon and primary colon cancer lines [expression]
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Cancer is characterized by gene expression aberrations. Studies have largely focused on coding sequences and promoters, despite the fact that distal regulatory elements play a central role in controlling transcription patterns. Here we utilize the histone mark H3K4me1 to analyze gain and loss of enhancer activity genome wide in primary colon cancer lines relative to normal colon crypts. We identified thousands of variant enhancer loci (VELs) that comprise a signature that is robustly predictive of the in vivo colon cancer transcriptome. Furthermore, VELs are enriched in haplotype blocks containing colon cancer genetic risk variants, implicating these genomic regions in colon cancer pathogenesis. We propose that reproducible changes in the epigenome at enhancer elements drive a unique transcriptional program to promote colon carcinogenesis.

Publication Title

Epigenomic enhancer profiling defines a signature of colon cancer.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE14987
Expression data from ERBB2 over-expression and EGF stimulation in MCF10A cells
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Expression data from ERBB2 over-expression and EGF stimulation in MCF10A cells

Publication Title

MYC regulation of a "poor-prognosis" metastatic cancer cell state.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE14988
Expression data from DHT stimulation vs. control in LNCaP cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Expression data from DHT stimulation vs. control in LNCaP cells

Publication Title

MYC regulation of a "poor-prognosis" metastatic cancer cell state.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE87567
Transcriptomic analysis of the the liver of Ppara KO mice
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Livers from wild-type (WT) or Ppara knock-out (Ppara KO) C57Bl6 mice were used to prepare RNA which was then processed for analysis using MoGene-2_0-st Affymetrix microarrays according to standard procedures.

Publication Title

The logic of transcriptional regulator recruitment architecture at <i>cis</i>-regulatory modules controlling liver functions.

Sample Metadata Fields

Sex, 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