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accession-icon GSE37750
Gene expression data: Plasmacytoid dendritic cells (pDCs) of healthy donors and MS patientes before and after IFN beta treatment
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Multiple Sclerosis (MS) is an immune-mediated chronic inflammatory disease affecting the central nervous system. The cause of MS is not known and the mechanism of IFN-beta, a disease-modifying treatment (DMT) approved for MS, is not well-understood. Oligonucleotide microarrays were used to study gene expression in plasmacytoid denditic cells (pDCs) which are antigen-presenting cells implicated in MS pathogenesis.

Publication Title

Multiple sclerosis-linked and interferon-beta-regulated gene expression in plasmacytoid dendritic cells.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage, Subject

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accession-icon GSE41150
Genes up and down regulated in LNCaP cells overexpressing MED1
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

To identify MED1 target genes involved in prostate tumorigenesis.

Publication Title

ERK and AKT signaling drive MED1 overexpression in prostate cancer in association with elevated proliferation and tumorigenicity.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE39839
Amniotic fluid-derived cells: genome-wide expression in early and late cultures
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Amniotic fluid stem cells (AFSCs) are of interest in regenerative medicine as a non-controversial and potentially 'abundant' source of stem cells. Progress has been made in understanding amniotic fluid stem cell biology, and amniotic fluid-derived cells have been induced to form neurons, osteoblasts, muscle cells, and others. Our study evaluates change in the genome-wide expression profile of amniotic fluid stem cells during in-vitro culture, using Affymetrix U133 Plus 2.0 microarray chips. We found that only 3.08% of gene probes were differentially expressed from early to late passage of AFSC culture. The differentially expressed genes were related to biological processes or cellular function - including transcription factors, protein kinases, and cytokines/growth factors. Other gene-sets of interest were oncogenes and tumor suppressor genes, which were a very small number of genes. We further analyzed the gene sets of interest using NIH DAVID and GSEA bioinformatics databases for gene annotations analysis. Applying false discovery rate correction, there was no significant difference in the genome-wide expression profiling between early and late passage. AFSCs maintain their genome-wide expression profile during in-vitro culture.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

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accession-icon GSE69124
Changes in gene expression caused by loss of Med1 in the mouse prostate
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

MED1 is a transcriptional coactivator for gene-specific activators involved in growth and development, we were interested in identifying MED1 target genes potentially involved in prostate development by cDNA microarray. Med1 was conditional knocked out in mice prostate. We performed cDNA microarray with two sets: (1) RNA isolated from three WT ventral prostates and three MT ventral prostates; (2) RNA isolated from three WT lateral prostates and three MT lateral prostates.

Publication Title

No associated publication

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE52157
Expression data from WT, E2f8 KO, Rb KO and Rb;E2f8 DKO spleen Ter19+CD71high sorted cells
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

To understand molecular mechanisms underlying the synergy of Rb loss and E2F8 loss, we used gene expression profiling to assess molecular changes in Mx1-Cre-mediated knockout (KO) mice using RNA isolated from sorted Ter119+CD71high Erythroblasts.

Publication Title

Inactivation of Rb and E2f8 synergizes to trigger stressed DNA replication during erythroid terminal differentiation.

Sample Metadata Fields

Specimen part

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accession-icon GSE58140
Expression data from mutant p53 breast cancer cell line SK-BR-3
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Tumor associated mutant p53 proteins often gain new functions for tumorigenesis and tumor progression. It has been shown that mutant p53 can transcriptionally regulate a group of genes, which in turn contributes to mutant p53 gain of function. A mutant p53 interacting protein Pontin binds to mutant p53 and promotes its gain of function. This experiment tests whether the interaction of Pontin with mutant p53 regulates the transcriptional activity of mutant p53.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE53202
Cross-species analysis of genome-wide regulatory networks identifies a synergistic dependency between FOXM1 and CENPF that drives prostate cancer malignancy
  • organism-icon Mus musculus
  • sample-icon 384 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Analysis of the transcriptome of mouse models of prostate cancer to assemble a mouse prostate cancer interactome.

Publication Title

Cross-species regulatory network analysis identifies a synergistic interaction between FOXM1 and CENPF that drives prostate cancer malignancy.

Sample Metadata Fields

Treatment

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accession-icon GSE81440
Identification of an NKX3.1-G9a-UTY regulatory network that controls prostate differentiation
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

To investigate the role of NKX3.1 in prostate differentiation, we employed transcriptome analysis of mouse seminal vesicle (from 15-month-old Nkx3.1+/+ mice); mouse prostate (from 4-month-old Nkx3.1+/+ and Nkx3.1-/- mice); human prostate cells (RWPE1 cells engineered with empty vector (altered pTRIPZ), NKX3.1 wild type over-expression, and NKX3.1 (T164A) mutant over-expression); and tissue recombinants (generated from combining engineered mouse epithelial cells (seminal vesicle epithelial cells or prostate epithelial cells from 2-month-old mice) and rat UGS mesenchymal cells). Mouse tissue or human cells were snap frozen for subsequent molecular analysis.

Publication Title

Identification of an NKX3.1-G9a-UTY transcriptional regulatory network that controls prostate differentiation.

Sample Metadata Fields

Age, Specimen part, Cell line

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accession-icon GSE13883
Effect of the Methoxychlor Metabolite HPTE on the Rat Ovarian Granulosa Cell Transcriptome in Vitro
  • organism-icon Rattus norvegicus
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Ovarian granulosa cells play a central role in steroidogenesis, which is critical for female reproduction. Follicle-stimulating hormone (FSH) promotes cAMPmediated signaling to regulate granulosa cell steroidogenesis. We have shown previously that 2, 2-bis-(p-hydroxyphenyl)-1, 1, 1-trichloroethane (HPTE) inhibits FSH- and dibutyryl cAMP-stimulated steroidogenesis, and affects the mRNA levels of steroidogenic pathway enzymes in rat granulosa cells. However, HPTE showed a differential effect in FSH- and cAMP-stimulated cells in that HPTE more completely blocked FSH- when compared to cAMP-driven steroidogenesis. The objective of this study was to analyze the effects of HPTE on global gene expression profiles in untreated granulosa cells and those challenged with FSH or cAMP. Granulosa cells from immature rats were cultured with 0, 1, 5, or 10 M HPTE in the presence and absence of either 3 ng FSH/ml or 1 mM cAMP for 48 h. Total RNA was isolated for microarray analysis using the GeneChip Rat Genome 230 2.0 and ArrayAssist Microarray Suite. An investigation of changes in gene expression across all HPTE treatments showed that HPTE altered more genes in FSH- (~670 genes) than in cAMP-stimulated cells (~366 genes). Analysis confirmed that HPTE more effectively inhibited FSH- than cAMP-induced steroid pathway gene expression and steroidogenesis. Furthermore, expression patterns of novel genes regulating signal transduction, transport, cell cycle, adhesion, differentiation, motility and growth, apoptosis, development, and metabolism were all altered by HPTE. This study further established that HPTE exerts differential effects within the granulosa cell steroidogenic pathway, and revealed that these effects include broader changes in gene expression.

Publication Title

Effect of the methoxychlor metabolite HPTE on the rat ovarian granulosa cell transcriptome in vitro.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE69214
Predicting drug response in human prostate cancer from preclinical analysis of in vivo mouse models
  • organism-icon Mus musculus
  • sample-icon 35 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Predicting Drug Response in Human Prostate Cancer from Preclinical Analysis of In Vivo Mouse Models.

Sample Metadata Fields

Specimen part, Disease, Disease stage, 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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