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accession-icon SRP032456
A bioinformatics approach reveals novel mechanisms of the OVOL transcription factors in the regulation of epithelial-mesenchymal cell programming and cancer progression.
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

We find significant evidence of the OVOL, AP1, STAT1, STAT3, and NFKB1 TFs having important roles in MET. We prioritize known gene/drug targets for follow-up in the clinic, and show that the AP1/MYC TF pair is a strong candidate for intervention. Overall design: Examination of the effects of OVOL1 and OVOL2 overexpression common to prostate cancer and breast cancer models.

Publication Title

A bioinformatics approach reveals novel interactions of the OVOL transcription factors in the regulation of epithelial - mesenchymal cell reprogramming and cancer progression.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE7868
Expression data from LNCaP cell line
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Androgen receptor (AR) is a ligand-dependent transcription factor that plays a key role in the onset and progression of prostate cancer. Surprisingly little is known of AR binding sites and collaborating transcription factors in the human genome. Here we have identified the DNA sequence motifs that are significantly enriched within the authentic 90 AR target regions found on chromosomes 21 and 22 in human prostate cancer cells by combining chromatin immunoprecipitation for AR with chromosome-scale tiled oligonucleotide microarrays. By integrating the DNA sequence motif data with the gene expression profiles from human prostate cancers we identified the transcription factors that recognize each of these motifs. These factors form complexes with AR, bind to specific AR target regions and govern androgen-dependent transcription. Together with AR these collaborating transcription factors form a regulatory network that directs prostate cancer growth and survival and identify potential new opportunities for therapeutic intervention.

Publication Title

A hierarchical network of transcription factors governs androgen receptor-dependent prostate cancer growth.

Sample Metadata Fields

No sample metadata fields

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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 GSE3325
Integrative Genomic and Proteomic Analysis of Prostate Cancer Reveals Signatures of Metastatic Progression
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

An integrative analysis of this compendium of proteomic alterations and transcriptomic data was performed revealing only 48-64% concordance between protein and transcript levels. Importantly, differential proteomic alterations between metastatic and clinically localized prostate cancer that mapped concordantly to gene transcripts served as predictors of clinical outcome in prostate cancer as well as other solid tumors.

Publication Title

Integrative genomic and proteomic analysis of prostate cancer reveals signatures of metastatic progression.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE77379
The Marrow Niche Controls The Cancer Stem Cell Phenotype Of Disseminated Prostate Cancer
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.1 ST Array (hugene21st)

Description

Dissemination of cancer stem cells (CSCs) serves as the basis of metastasis. Recently, we demonstrated that circulating prostate cancer (PCa) targets the hematopoietic stem cell (HSCs) niche in marrow during dissemination. Once in the niche, disseminated tumor cells (DTCs) may remain dormant for extended periods. As the major function of the HSC niche is to maintain stem cell functions, we hypothesized that the niche regulates CSC activities of DTCs. We show that DTCs recovered from marrow were significantly enriched for a CSC phenotype. Critically, the conversion of DTCs to CSCs is regulated by niche. The data demonstrate that the niche plays a significant role in maintaining tumor-initiating PCa in marrow and suggests a functional relationship between CSCs and dormancy. Understanding how the marrow niche regulates the conversion of DTCs to CSCs is critical for the development of therapeutics specifically targeting skeletal bone metastasis and dormancy.

Publication Title

The marrow niche controls the cancer stem cell phenotype of disseminated prostate cancer.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE87879
Re-activating pRB via PD 0332991 treatment in NSCLC H1299 Cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

CDk4/6 inhibitor activates RB and represses RB/E2F target genes

Publication Title

RB Loss Promotes Prostate Cancer Metastasis.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE87886
Re-activating pRB via PD 0332991 treatment in Prostate Cancer Cell PC3-ML
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

CDk4/6 inhibitor activates RB and represses RB/E2F target genes

Publication Title

RB Loss Promotes Prostate Cancer Metastasis.

Sample Metadata Fields

Cell line, Treatment

View Samples
accession-icon SRP108222
AR-independent prostate cancer is sustained through FGF signaling
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Androgen receptor (AR) signaling is a distinctive feature of prostate cancer (PC) and represents the major therapeutic target for the treatment of metastatic disease. Though highly effective, AR antagonism has the potential to generate tumors that bypass a functional requirement for AR activity. We show here that a phenotypic shift has occurred in metastatic PCs with the emer-gence of a double-negative AR-null neuroendocrine-null phenotype that is notable for MAPK and FGF pathway activity. To identify mechanisms capable of sustaining PC survival, we gener-ated a model system designated AR program-independent prostate cancer (APIPC) which re-sists AR-targeted therapeutics, lacks neuroendocrine features, expresses high levels of FGF8 and the ID1 oncogene, and activates MAPK signaling. Pharmacological blockade of MAPK or FGF signaling inhibited APIPC tumor growth, supporting FGF/MAPK as a therapeutic avenue for treating AR-null PC. Overall design: RNA sequencing of human prostate tumor cell lines using the Illumina TruSeq Library prep and sequenced on Illumina HiSeq 2500.

Publication Title

Androgen Receptor Pathway-Independent Prostate Cancer Is Sustained through FGF Signaling.

Sample Metadata Fields

Sex, Specimen part, Cell line, Subject

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accession-icon SRP076519
Next Generation Sequencing of liver and subcutaneous fat tissues obtained from obese subjects
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Patients had low calorie diet weight reduction run in prior to the day of surgery. The human liver and subcutaneous fat tissue samples were obtained from 12 obese subjects undergoing bariatric surgery and then used for the mRNA expression analyses. Overall design: mRNA profiles of human liver and subcutaneous fat tissue samples were generated by RNA sequencing using Illumina HiSeq 2500.

Publication Title

Integrated Network Analysis Reveals an Association between Plasma Mannose Levels and Insulin Resistance.

Sample Metadata Fields

Age, Specimen part, Subject

View Samples
accession-icon GSE18135
Gene Expression Profile of Androgen Modulated Genes in the Murine Fetal Developing Lung
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Accumulating evidences suggest that sex affects lung development. During the fetal period, male lung maturation is delayed compared with female and surfactant production appears earlier in female than in male fetal lungs.

Publication Title

Gene expression profile of androgen modulated genes in the murine fetal developing lung.

Sample Metadata Fields

Specimen part, Disease

View Samples
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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)

fund-icon Fund the CCDL

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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