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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

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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

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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

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accession-icon GSE139380
Aberrant expression of RSK1 characterizes high-grade gliomas with immune infiltration
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

The p90 ribosomal S6 kinase (RSK) family, a downstream target of Ras/extracellular signal-regulated kinase (ERK) signaling, can mediate cross-talk with the mammalian target of rapamycin complex 1 (mTORC1) pathway. As RSK connects two oncogenic pathways in gliomas, we investigated the protein levels of the RSK isoforms RSK1-4 in non-tumoral brain (NB) and grade I-IV gliomas. RSK4 expression was not detected in any brain tissues, whereas RSK3 expression was very low, with GBMs demonstrating the lowest RSK3 protein levels. When compared to NB or low-grade gliomas (LGG), a group of glioblastomas (RSK1hi) that excluded long-survivor cases expressed higher levels of RSK1. No difference was observed in RSK2 median-expression levels among NB and gliomas; however, high levels of RSK2 in glioblastomas (GBM) were associated with worse survival. RSK1hi and, to a lesser extent, RSK2hi GBMs, showed higher levels of phosphorylated RSK, which indicates RSK activation. Transcriptome analysis indicated that most RSK1hi GBMs belonged to the mesenchymal subtype, and RSK1 expression strongly correlated with gene expression signature of immune infiltrates, in particular of activated-natural killer cells and M2 macrophages. In an independent cohort, we confirmed that RSK1hi GBMs exclude long-survivors, and RSK1 expression was associated with high protein levels of the mesenchymal subtype marker LAPTM5, as well as with high expression of CD68, which indicated the presence of infiltrating immune cells. An RSK1 signature was obtained based on differentially expressed mRNAs and validated in public glioma datasets. Enrichment of RSK1 signature followed glioma progression, recapitulating RSK1 protein expression, and was associated with worse survival not only in GBM but also in LGG. In conclusion, both RSK1 and RSK2 associate with glioma malignity, but displaying isoform-specific peculiarities. The progression-dependent expression and association with immune infiltration, suggests RSK1 as a potential progression marker and therapeutic target for gliomas.

Publication Title

Aberrant expression of RSK1 characterizes high-grade gliomas with immune infiltration.

Sample Metadata Fields

Specimen part

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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

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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

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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

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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

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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

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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

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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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Developed by the Childhood Cancer Data Lab

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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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