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accession-icon GSE51866
Gene expression data for liver, adipose, and skeletal muscle tissues of MKR and Healthy mice.
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

MKR mice is a Type 2 Diabetic mice, which was created by expressing mutation in IGF1 receptor in the skeletal muscle, and is widely used in diabetes research. Gene expression differences between MKR mice and Healthy (Wild type) mice are poorly understood.

Publication Title

Multi-tissue computational modeling analyzes pathophysiology of type 2 diabetes in MKR mice.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE101742
Estrogen regulated genes in BCK4 tumors
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Genes regulated in different tumor regions, cells isolated by LCM

Publication Title

Estrogen induces c-Kit and an aggressive phenotype in a model of invasive lobular breast cancer.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE81217
Gene expression data from MCF7 breast adenocarcinoma cells treated with prolactin and/or bufexamac
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

The hormone prolactin is implicated in the pathogenesis of breast cancer, and a subset of prolactin-induced gene expression is mediated by HDAC6 activity.

Publication Title

HDAC6 Deacetylates HMGN2 to Regulate Stat5a Activity and Breast Cancer Growth.

Sample Metadata Fields

Sex, Specimen part, Cell line

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accession-icon GSE22600
Tissue Specific Pathways for Estrogen Regulation of Ovarian Cancer Growth and Metastasis
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Menopausal estrogen (E2) replacement therapy increases the risk of estrogen receptor (ER)-positive epithelial ovarian cancers (EOC). Whether E2 is tumorigenic or promotes expansion of undiagnosed pre-existing disease is unknown. To determine E2 effects on tumor promotion, we developed an intraperitoneal mouse xenograft model using ZsGreen fluorescent ER- 2008 and ER+ PEO4 human EOC cells. Tumor growth was quantified by in vivo fluorescent imaging. In ER+ tumors, E2 significantly increased size, induced progesterone receptors, and promoted lymph node metastasis, confirming that ER are functional and foster aggressiveness. Laser captured human EOC cells from ER- and ER+ xenografted tumors were profiled for expression of E2-regulated genes. Three classes of E-regulated EOC genes were defined, but less than 10% were shared with E-regulated breast cancer genes. Since breast cancer selective ER modulators (SERM) are therapeutically ineffective in EOC, we suggest that our EOC-specific E-regulated genes can assist pharmacologic discovery of ovarian targeted SERM.

Publication Title

Tissue-specific pathways for estrogen regulation of ovarian cancer growth and metastasis.

Sample Metadata Fields

Specimen part

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accession-icon SRP061931
Expression profiling of fetal mammary cells that express ectopic levels of Sox10
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We use RNA-sequencing to generate gene expression profiles of fetal mammary cells that have been induced to overexpress Sox10. These data highlight multiple important molecular mechanisms that are altered in response to this perturbation, and offer a resource to probe the basis of the stem/progenitor and EMT-like functions that are mediated by Sox10 in mammary cells. Overall design: Expression profiling of fetal mammary cells that express ectopic levels of Sox10

Publication Title

Sox10 Regulates Stem/Progenitor and Mesenchymal Cell States in Mammary Epithelial Cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP061930
Expression profiling of fetal mammary cells
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We use RNA-sequencing to generate gene expression profiles of fetal mammary cells with unique sorting strategies. These analyses reveal that sorting fetal mammary cells with Sox10 and EpCAM sorting markers provides a stroma-free fMaSC-enriched cell population. The gene expression profiling of these cells offers a resources to probe the molecular mechanisms that specify this unique cell state. Overall design: Examination of 2 different sorting strategies for fetal mammary cells

Publication Title

Sox10 Regulates Stem/Progenitor and Mesenchymal Cell States in Mammary Epithelial Cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE35314
Expression data from Control and Six1 expressing MCF7 derived xenograft tumors
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix HT Human Genome U133A Array (hthgu133a)

Description

Although an important association between lymph node metastasis and poor prognosis in breast cancer was observed decades ago, an active role for the lymphatic system in metastatic dissemination has only recently been examined. We demonstrate that the Six1 homeoprotein promotes peri- and intra-tumoral lymphangiogenesis, lymphatic invasion, and distant metastasis of breast cancer cells. We identify the pro-lymphangiogenic factor, VEGF-C, as required for this process, and demonstrate transcriptional induction as the mechanism of regulation of VEGF-C expression by Six1. Using a different, but complementary animal model, we show that while required, VEGF-C is not sufficient for the pro-metastatic effects of Six1. Verifying the clinical significance of this pro-metastatic Six1-VEGF-C axis, we demonstrate co-expression of Six1 and VEGF-C in human breast cancer.

Publication Title

SIX1 induces lymphangiogenesis and metastasis via upregulation of VEGF-C in mouse models of breast cancer.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE60350
Expression Profiles of Responders versus Non-Responders with AML or MDS to the Novel Mitochondrial Inhibitor CPI-613
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

To determine if there are differences in the gene expression profile of peripheral blood mononuclear cells in patients with Acute Myeloid Leukemia (AML) or Myelodysplastic Syndrome (MDS) who responded to CPI-613 when compared to those patients who did not respond we generated gene expression profiles from four responding patients and compared them to four non-responders. None of the gene expression profiles have been previously published. Here we describe the origins and provide associated clinical annotations with the hope that other investigators will be able to utilize this data in their own research.

Publication Title

A phase I study of the first-in-class antimitochondrial metabolism agent, CPI-613, in patients with advanced hematologic malignancies.

Sample Metadata Fields

Sex, Age, Specimen part, Disease

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accession-icon GSE23655
Expression data from Control and Six1 expressing MCF7 cells
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix HT Human Genome U133A Array (hthgu133a)

Description

Inappropriate activation of developmental pathways is a well-recognized tumor-promoting mechanism. Here we show that overexpression of the homeoprotein Six1, normally a developmentally restricted transcriptional regulator, increases Transforming Growth Factor-beta (TGF-beta) signaling in mammary carcinoma cells and induces an epithelial to mesenchymal transition (EMT) that is in part dependent on its ability to increase TGF-beta signaling. TGF-beta signaling and EMT have been implicated in metastatic dissemination of carcinoma. Using spontaneous and experimental metastasis mouse models, we demonstrate that Six1 overexpression promotes breast cancer metastasis. In addition, we show that, like its induction of EMT, Six1-induced experimental metastasis is dependent on its ability to activate TGF-beta signaling. Importantly, in human breast cancers Six1 significantly correlates with nuclear Smad3, and thus increased TGF-beta signaling. Further, breast cancer patients whose tumors overexpress Six1 have a shortened time to relapse and metastasis, and an overall decrease in survival. Finally, we show that the effects of Six1 on tumor progression likely extend beyond breast cancer, since its overexpression correlates with adverse outcomes in numerous other cancers, including brain, cervical, prostate, colon, kidney, and liver, amongst others. Our findings argue that Six1, acting through TGF-beta signaling and EMT, is a powerful and global promoter of cancer metastasis.

Publication Title

The Six1 homeoprotein induces human mammary carcinoma cells to undergo epithelial-mesenchymal transition and metastasis in mice through increasing TGF-beta signaling.

Sample Metadata Fields

Cell line

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accession-icon SRP049696
RNAseq of Individual 4T1 Clonal Populations
  • organism-icon Mus musculus
  • sample-icon 54 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The transcriptional profile 23 cell lines derived from single clones of the 4T1 cell lines were assessed with RNAseq. The two clones with a strong propensity to intravasate were found to have 12 genes in common that were overexperessed relative to the other 21 clones. Overall design: Clone RNAseq 1) 23 clonal lines were established using single cell FACs sorting from the 4T1 mammary cancer cell line. 2) After establishing the lines the clones were assesed (in a pooled setting) for their capacity to intravasate the vascular system. 3) Transcriptional profiling was carried out using RNAseq. 4) Two clones were found to be strong intravasators and these were compared to the other clones to identify genes that were overexpressed (as compared to at least half of the other clones in both lines).

Publication Title

A model of breast cancer heterogeneity reveals vascular mimicry as a driver of metastasis.

Sample Metadata Fields

No sample metadata fields

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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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