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accession-icon GSE37975
Comparison of matched primary and metastasis 4T1.2 syngeneic mammary tumor model of spontaneous bone metastasis
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
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Description

Breast cancer metastasis to bone is a critical determinant of long-term survival after treatment of primary tumors. We used a mouse model of spontaneous bone metastasis to determine new molecular mechanisms. Differential transcriptome comparisons of primary and metastatic tumor cells revealed that a substantial set of genes suppressed in bone metastases were highly enriched for promoter elements for the type I interferon (IFN) regulatory factor, Irf7, itself suppressed in mouse and human metastases. The critical function of the Irf7 pathway was demonstrated by restoration of exogenous Irf7 or systemic interferon administration, which significantly reduced bone metastases and prolonged metastasis-free survival. Using mice deficient in the type I receptor (Ifnar1-/-) or mature B, T and NK cell responses (NOD Scid IL-2r-/- mice), we demonstrated that Irf7-driven suppression of metastasis was reliant on IFN signaling to host immune cells. Metastasis suppression correlated with decreased accumulation of myeloid-derived suppressor cells and increased CD4++, CD8 T cells and NK cells in the peripheral blood and was reversed by depletion of CD8+ cells and NK cells. Clinical importance of our findings was demonstrated as increased primary tumor Irf7 expression predicted prolonged bone and lung metastasis-free survival. Thus we report for the first time, a novel innate immune pathway, intrinsic to breast cancer cells, whose suppression in turn restricts systemic immunosurveillance to enable metastasis. This pathway may constitute a novel therapeutic target for restricting breast cancer metastases.

Publication Title

Silencing of Irf7 pathways in breast cancer cells promotes bone metastasis through immune escape.

Sample Metadata Fields

Specimen part

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accession-icon GSE27402
Expression data from WT, HEB-KO and E2A-KO LY6D- CLP cells
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
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Description

The E-protein transcription factors E2A and HEB play important roles at several stages of hematopoiesis. However, the exact mechanism for theire action and the main targets in the LY6D negative common lymphoid progentior (CLP) compartment remains unknown. By adressing this question, we will gain important infromation regarding the early events leading to B-cell specification.

Publication Title

The transcription factors E2A and HEB act in concert to induce the expression of FOXO1 in the common lymphoid progenitor.

Sample Metadata Fields

Specimen part

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accession-icon GSE19142
Single cell analysis of the Common Lymphoid Progenitor compartment reveals functional and molecular heterogeneity
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
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Description

In order to investigate molecular events involved in the regulation of lymphoid lineage commitment, we crossed lamda5 reporter transgenic mice to mice where the GFP gene is inserted into the Rag1 locus. This allowed us to sub-fractionate common lymphoid progenitors (CLPs) and pre-pro-B cells into lamda5-Rag1low, lamda5-Rag1high and lamda5+Rag1high cells. Clonal in vitro differentiation analysis demonstrated that Rag1low cells gave rise to B/T and NK cells. Rag1high cells displayed reduced NK-cell potential with preserved capacity to generate B- and T-lineage cells while the lamda5+ cells were B-lineage restricted. Ebf1 and Pax5 expression was largely confined to the Rag1high populations. These cells also expressed a higher level of the surface protein LY6D providing an additional tool for the analysis of early lymphoid development. These data suggest that the classical CLP compartment composes a mixture of cells with more or less restricted lineage potentials opening new possibilities to investigate early hematopoiesis.

Publication Title

Single-cell analysis of the common lymphoid progenitor compartment reveals functional and molecular heterogeneity.

Sample Metadata Fields

Specimen part

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accession-icon GSE13730
BALB/c mice genetically susceptible to proteoglycan-induced arthritis and spondylitis
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
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Description

BALB/c mice are susceptible to proteoglycan (PG) aggrecan-induced arthritis (PGIA), a murine model of rheumatoid arthritis (Glant,T.T. and Mikecz,K., Proteoglycan aggrecan-induced arthritis. A murine autoimmune model of rheumatoid arthritis. Methods Mol.Med. 2004. 102: 313-338.). However, there are marked differences among BALB/c colonies (maintained by different vendors at different locations) in PGIA onset and severity, which could be the result of subtle variations in their genetic background.

Publication Title

BALB/c mice genetically susceptible to proteoglycan-induced arthritis and spondylitis show colony-dependent differences in disease penetrance.

Sample Metadata Fields

Sex

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accession-icon GSE27605
The intestinal stem cell signature identifies colorectal cancer stem cells and predicts disease relapse
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
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Description

Using EphB2 or the ISC marker Lgr5, we have FACS-purified and profiled intestinal stem cells (ISCs), crypt proliferative progenitors and late transient amplifying cells to define a gene expression program specific for normal ISCs.

Publication Title

The intestinal stem cell signature identifies colorectal cancer stem cells and predicts disease relapse.

Sample Metadata Fields

Specimen part

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accession-icon GSE14906
The Gene Expression Analysis in E12.5 Mouse Hearts with GATA4-FOG2 Interaction Loss
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
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Description

In order to identify the targets of GATA4-FOG2 action in mammalian heart development we performed Affymetrix microarray comparisons of gene expression in normal and mutant at embryonic (E) day E12.5 hearts. We compared RNA samples from both Fog2-null and Gata4ki/ki mutant E12.5 hearts to the wild-type control E12.5 hearts. We reasoned that as the phenotypes of the Fog2 knockout and Gata4ki/ki mutation (a V217G mutation that specifically cripples the interaction between GATA4 and FOG proteins) are similar, we should expect to identify a similar set of differentially expressed genes in both experiments. As an additional control, we expected to find the Fog2 gene expression absent in the mutant (null) Fog2 cardiac sample, but not Gata4ki/ki sample.

Publication Title

Cardiac expression of Tnnt1 requires the GATA4-FOG2 transcription complex.

Sample Metadata Fields

Specimen part

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accession-icon GSE69688
Gene expression data from murine myeloid leukemia genomes induced by Sleeping Beauty transposon mutagenesis
  • organism-icon Mus musculus
  • sample-icon 42 Downloadable Samples
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Description

Transcriptome analysis of mRNA samples from a cohort of mice with histopathologically diagnosed Undifferentiated Myeloid Leukemia.

Publication Title

Analyzing tumor heterogeneity and driver genes in single myeloid leukemia cells with SBCapSeq.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

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accession-icon GSE15770
WT and Get1 +/- Bladder Time Course
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon

Description

Skin and bladder epithelia form effective permeability barriers through the activation of distinct differentiation gene programs. Employing a genome-wide gene expression study, we identified transcription regulators whose expression correlates highly with that of differentiation markers both in bladder and skin, including the Grainyhead factor Get1/Grhl3, already known to be important for epidermal barrier formation. In the bladder, Get1 is most highly expressed in the differentiated umbrella cells and its mutation in mice leads to a defective bladder epithelial barrier formation due to failure of apical membrane specialization. Genes encoding components of the specialized urothelial membrane, the uroplakins, were downregulated in Get1-/- mice. At least one of these genes, Uroplakin II, is a direct target of Get1. The urothelial-specific activation of the Uroplakin II gene is due to selective binding of Get1 to the Uroplakin II promoter in urothelial cells, most likely regulated by histone modifications. These results demonstrate a key role for Get1 in urothelial differentiation and barrier formation.

Publication Title

The epidermal differentiation-associated Grainyhead gene Get1/Grhl3 also regulates urothelial differentiation.

Sample Metadata Fields

Specimen part

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accession-icon GSE15768
Expression profiling of Get1 -/- bladder
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon

Description

Skin and bladder epithelia form effective permeability barriers through the activation of distinct differentiation gene programs. Employing a genome-wide gene expression study, we identified transcription regulators whose expression correlates highly with that of differentiation markers both in bladder and skin, including the Grainyhead factor Get1/Grhl3, already known to be important for epidermal barrier formation. In the bladder, Get1 is most highly expressed in the differentiated umbrella cells and its mutation in mice leads to a defective bladder epithelial barrier formation due to failure of apical membrane specialization. Genes encoding components of the specialized urothelial membrane, the uroplakins, were downregulated in Get1-/- mice. At least one of these genes, Uroplakin II, is a direct target of Get1. The urothelial-specific activation of the Uroplakin II gene is due to selective binding of Get1 to the Uroplakin II promoter in urothelial cells, most likely regulated by histone modifications. These results demonstrate a key role for Get1 in urothelial differentiation and barrier formation.

Publication Title

The epidermal differentiation-associated Grainyhead gene Get1/Grhl3 also regulates urothelial differentiation.

Sample Metadata Fields

Specimen part

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accession-icon GSE106581
Cancer-associated rs6983267 SNP and its accompanying long non-coding RNA CCAT2 induce myeloid malignancies via unique SNP-specific RNA mutations
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon

Description

The cancer-risk associated rs6983267 single nucleotide polymorphism (SNP) and the accompanying long non-coding RNA CCAT2 in the highly amplified 8q24.21 region has been implicated in cancer predisposition, though causality has not been established. Here, using allele-specific CCAT2 transgenic mice, we demonstrate that CCAT2 overexpression leads to spontaneous myeloid malignancies. CCAT2 is overexpressed in bone marrow and peripheral blood of myelodysplastic/myeloproliferative neoplasms (MDS/MPN) patients. CCAT2 induces global deregulation of gene expression by downregulating EZH2 in vitro and in vivo in an allele-specific manner. We also identified a novel disease-specific RNA mutation (named DNA-to-RNA allelic imbalance, DRAI) at the SNP locus in MDS/MPN patients and CCAT2-transgenic mice. The RNA transcribed from the SNP locus in malignant hematopoietic cells have different allelic composition from the corresponding genomic DNA, a phenomenon rarely observed in normal cells. Our findings provide fundamental insights into the functional role of rs6983267 SNP and CCAT2 in myeloid malignancies.

Publication Title

Cancer-associated rs6983267 SNP and its accompanying long noncoding RNA <i>CCAT2</i> induce myeloid malignancies via unique SNP-specific RNA mutations.

Sample Metadata Fields

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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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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