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accession-icon GSE66039
Global analysis of androgen-signaling reveals the function of miRNAs for the epigenomic regulation in prostate cancer cells
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

TET2 repression by androgen hormone regulates global hydroxymethylation status and prostate cancer progression.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE66038
Effects of miRNA-mediated TET2 in prostate cancer
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Prostate cancer is the most common cancer in men. We identified that miR-29 family is the most androgen-responsive miRNA in hormone-refractory prostate cancer cells. For the screening of miR-29b target, we performed microarray analysis in two prostate cancer cells. Because TET2 is the primary target of miR-29 family by our analysis, we also performed TET2 signaling by microarray.

Publication Title

TET2 repression by androgen hormone regulates global hydroxymethylation status and prostate cancer progression.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE58309
The role of AR-associated factors in androgen signaling
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Prostate cancer is the most common cancer in men and AR downstream signalings promote prostate cancer cell proliferation. We identified androgen-regulated genes, CTBP2, FOXP1 and RUNX1. These factors interact with AR ligand dependently.

Publication Title

CtBP2 modulates the androgen receptor to promote prostate cancer progression.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE28702
CRC samples for FOLFOX therapy prediction
  • organism-icon Homo sapiens
  • sample-icon 82 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The aim of this study is to identify responders to FOLFOX therapy by applying the Random Forests (RF) algorithm to gene expression data. Eighty-three unresectable colorectal cancer (CRC) patients including 42 responders and 41 non-responders were divided into training (54 patients) and test (29 patients) sets.

Publication Title

Potential responders to FOLFOX therapy for colorectal cancer by Random Forests analysis.

Sample Metadata Fields

Sex

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accession-icon GSE100239
Effects of PSF knockdown in castration-resistant prostate cancer cells
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Prostate cancer is the most common cancer in men and AR downstream signalings promote prostate cancer cell proliferation. Androgen-deprivation therapy is the first-line treatment strategy for advanced prostate cancer. However, many tumors develop to castration-resistant prostate cancer (CRPC) and relapse. Thus, analyzing key factors for development of CRPC is important. We found PSF functions as RNA binding protein and transcription factor to promote castration-resistant tumor growth. High expression of PSF in metastatic prostate cancer tissue indicates the clinical relevance.

Publication Title

Dysregulation of spliceosome gene expression in advanced prostate cancer by RNA-binding protein PSF.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE62454
Effects of RUNX1 knockdown in AR signaling
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Prostate cancer is the most common cancer in men and AR downstream signalings promote prostate cancer cell proliferation. We identified RUNX1 is an androgen-regulated gene.

Publication Title

RUNX1, an androgen- and EZH2-regulated gene, has differential roles in AR-dependent and -independent prostate cancer.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE57656
Identification and characterization of retinoic acid-responsive genes in mouse kidney development
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Retinoic acid (RA) signaling regulates a variety of developmental processes through controlling the expression of numerous genes. Here, we have identified and characterized RA-responsive genes in mouse kidney development. Analysis of isolated embryonic kidneys cultured in the presence and absence of RA identified 33 candidates of RA-responsive genes. Most of these candidate genes were down-regulated by treatment with the RA receptor antagonist. Many of them have potential binding sites for Elf5, one of the RA-responsive genes, in their promoter region. Whole-mount in situ hybridization demonstrated that specific expression of Elf5 in the ureteric trunk depends on RA. RA-dependent expression in the ureteric trunk was also demonstrated for the sodium channel subunit Scnn1b, which has been shown to be the marker gene of the collecting duct. In contrast, the expression of Ecm1, Tnfsf13b and IL-33 was detected in the stromal mesenchymal cells. Both Tnfsf13b and IL-33 were previously shown to cause NF-B activation. We have demonstrated that the inhibition of NF-B signaling with specific inhibitors suppresses branching morphogenesis of the ureteric bud. Our study thus identifies and characterizes RA-dependent upregulated genes in kidney development, and suggests an involvement of NF-B signaling in the branching morphogenesis.

Publication Title

Identification and characterization of retinoic acid-responsive genes in mouse kidney development.

Sample Metadata Fields

Specimen part

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accession-icon GSE82225
Androgen-induced lncRNA SOCS2-AS1 Promotes Cell Growth and Inhibits Apoptosis in Prostate Cancer Cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Androgen-induced Long Noncoding RNA (lncRNA) SOCS2-AS1 Promotes Cell Growth and Inhibits Apoptosis in Prostate Cancer Cells.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE82224
Effects of SOCS2-AS1 inhibition in prostate cancer cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Prostate cancer is the most common cancer in men and AR downstream signalings promote prostate cancer cell proliferation. We identified a novel androgen-regulated long non-coding (lnc) RNA, SOCS2-AS1.

Publication Title

Androgen-induced Long Noncoding RNA (lncRNA) SOCS2-AS1 Promotes Cell Growth and Inhibits Apoptosis in Prostate Cancer Cells.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE23343
Expression data from human liver with or without type 2 diabetes
  • organism-icon Homo sapiens
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The liver may regulate glucose homeostasis by modulating the sensitivity/resistance of peripheral tissues to insulin, by way of the production of secreted proteins, termed hepatokines.

Publication Title

A liver-derived secretory protein, selenoprotein P, causes insulin resistance.

Sample Metadata Fields

Sex, Specimen part, Disease

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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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