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accession-icon GSE15029
Gene array for identifying molecules involved in IL-10 regulation during Th17 polarization
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

IL-10 production by Th17 cells is critical for limiting autoimmunity and inflammatory responses. Gene array analysis on Stat6 and T-bet double deficient Th17 cells identified the Th2 transcription factor c-Maf to be synergistically up-regulated by IL-6 plus TGFbeta, and associated with Th17 IL-10 production. Both c-Maf and IL-10 induction during Th17 polarization depended on Stat3, but not Stat6 or Stat1, and mechanistically differed from IL-10 regulation by Th2 or IL-27 signals. TGFbeta was also synergistic with IL-27 to induce c-Maf, and induced Stat1 independent IL-10 expression in contrast to IL-27 alone. Retroviral transduction of c-Maf was able to induce IL-10 expression in Stat6 deficient CD4 and CD8 T cells, and c-Maf directly transactivated IL-10 gene expression through binding to a MARE motif in the IL-10 promoter. Together, these data reveal a novel role for c-Maf in regulating T effector development, and suggest that TGFbeta may antagonize Th17 immunity by IL-10 production through c-Maf induction.

Publication Title

c-Maf regulates IL-10 expression during Th17 polarization.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE58792
Effects of soy supplementation on gene expression in breast cancer
  • organism-icon Homo sapiens
  • sample-icon 49 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background There are conflicting reports on the impact of soy on breast carcinogenesis. This study examines the effects of soy supplementation on breast cancer-related genes and pathways. Methods Women (n = 140) with early-stage breast cancer were randomized to soy protein supplementation (n = 70) or placebo (n = 70) for 7 to 30 days, from diagnosis until surgery. Adherence was determined by plasma isoflavones: genistein and daidzein. Gene expression changes were evaluated by NanoString inin pre- and post-treatment tumor tissue. Genome-wide expression analysis was performed on post-treatment tissue. Proliferation (Ki67) and apoptosis (Cas3) were assessed by immunohistochemistry. Results Plasma isoflavones rose in the soy group (two-sided Wilcoxon rank-sum test, P < .001) and did not change in the placebo group. In paired analysis of pre- and post-treatment samples, 21 genes (out of 202) showed altered expression (two-sided Students t-test, P < .05). Several genes including FANCC and UGT2A1 revealed different magnitude and direction of expression changes between the two groups (two-sided Students t-test, P < .05). A high-genistein signature consisting of 126 differentially expressed genes was identified from microarray analysis of tumors. This signature was characterized by overexpression (>2 fold) of cell cycle transcripts, including those which promote cell proliferation, such as FGFR2, E2F5, BUB1, CCNB2, MYBL2, CDK1, and CDC20 (P < .01). Soy intake did not result in statistically significant changes in Ki67 or Cas3. Conclusions Gene expression associated with soy intake and high plasma genistein define a signature characterized by overexpression of FGFR2 and genes that drive cell cycle and proliferation pathways. These findings raise the concerns that in a subset of women soy could adversely affect gene expression in breast cancer.

Publication Title

The effects of soy supplementation on gene expression in breast cancer: a randomized placebo-controlled study.

Sample Metadata Fields

Treatment

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accession-icon GSE38283
Expression data from normal brain/glioma associated macrophages
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Tumor associated macrophages are contributing to local invasion, angiogensis, and metastasis during the progression of many kinds of tumor including glioma

Publication Title

Oligodendrocyte progenitor cells promote neovascularization in glioma by disrupting the blood-brain barrier.

Sample Metadata Fields

Specimen part

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accession-icon GSE55061
Expression data from RCAS PDGFB/Nestin tv-A glioma cells within Ptprd+/+p16-/- (n=2), Ptprd+/-p16-/- (n=2), and Ptrpd-/-p16-/- (n=3) mice.
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

PTPRD is a tumor suppressor of glioma that is frequently co-deleted with CDKN2A/p16. We show that Ptprd and p16 cooperate to promote gliomagenesis in the RCAS PDGFB / Nestin tv-A glioma mouse model.

Publication Title

Loss of the tyrosine phosphatase PTPRD leads to aberrant STAT3 activation and promotes gliomagenesis.

Sample Metadata Fields

Specimen part

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accession-icon GSE48581
Potential impact of microarray diagnosis of T cell-mediated rejection in kidney transplants: the INTERCOM study
  • organism-icon Homo sapiens
  • sample-icon 304 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The authors report that in INTERCOM, a prospective international study of 300 kidney transplant biopsies, a microarray-based molecular score for T cell-mediated rejection changed the assessment of 26% of all biopsies, illustrating the potential of precision diagnostics to impact practice.

Publication Title

Potential impact of microarray diagnosis of T cell-mediated rejection in kidney transplants: The INTERCOM study.

Sample Metadata Fields

Specimen part

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accession-icon GSE56898
RECK Controls Breast Cancer Metastasis by Modulating a Convergent, STAT3-dependent Neoangiogenic Switch
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Metastasis leads to the majority of deaths in breast cancer patients. Here we investigated the molecular and biochemical signaling pathways altered by RECK, a major metastasis suppressor gene in breast cancer. We overexpressed RECK in 2 highly invasive cell lines and knocked-down RECK expression in 2 poorly invasive cell lines. IPA analysis of differentially expressed genes revealed IL-6, and IL8 signaling alteration with RECK pertubation. This lead us to discover that RECK suppresses metastasis and neoangiogenesis at secondary sites by inhibiting STAT3 dependent VEGF & uPA regulating. This finding is significant because it reveals the biology behind a major metastasis suppressor gene in cancer.

Publication Title

RECK controls breast cancer metastasis by modulating a convergent, STAT3-dependent neoangiogenic switch.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE9237
Endothelial Cell Line Expression Patterns
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Sphingosine 1-phosphate (S1P) influences T cell migration into and out of secondary lymphoid organs; however, its mechanism of action remains uncertain. Our previous research shows that agonism of the S1P receptor S1P1 inhibits the egress of T lymphocytes from the peripheral tissues into afferent lymphatics. To better define the mechanism of inhibition, we developed an in vitro model to characterize T cell transendothelial migration across lymphatics. Two commercially available endothelial cell lines (MS-1 and SVEC4-10) were characterized by flow cytometry, real time RT-PCR, and Affymetrix Gene Array. These cell lines were grown to confluent monolayers in transwell systems, on either the upper or lower surface of the transwell insert. T cells were isolated from the spleens of (C57BL/6 x C3H/HeJ)F1, S1P1 KO, or S1P1 KO littermate controls, and either treated with the S1P receptor modulator FTY720 or left untreated. Cells were migrated to chemokines (CCL19 or CCL21) for 4 hours, and migration quantified. Flow cytometry, RT-PCR, and array results identified MS-1 as a blood vascular endothelial cell line, expressing high levels of CD31, CD34, and ICAM-1 as well as other endothelial cell markers; while SVEC4-10 closely resemble a lymphatic phenotype, expressing LYVE-1, VEGFR-3, and podoplanin. T cells efficiently migrate across MS-1, whether grown on the upper or lower surface; whereas migration across SVEC4-10 only occurs when cells are grown on the lower surface of the transwell (iSVEC), recapitulating basal (abluminal) to apical (luminal) migration that occurs in vivo. FTY720 inhibits T cell migration across iSVEC, but not across MS-1. Inhibition is due to drug effects only on T cells but not endothelial cells. S1P1 KO T cells treated with FTY720 are not inhibited in their migration across the iSVEC line, showing that S1P1 stimulation is required for migration inhibition. The in vitro model developed here is the first to use endothelial cell lines to analyze the regulation of T cell migration across lymphatic endothelium. The results show there is directional control of T cell migration across lymphatic cells, such that T cells only migrate from a basal to apical direction. Agonism of S1P1 specifically inhibits migration, while absence of the receptor does not. These findings have important implications for the use of S1P1 agonists in transplantation, as inhibition of cell entry into afferent lymphatics and lymph nodes could impede the development of graft rejection.

Publication Title

The sphingosine 1-phosphate receptor 1 causes tissue retention by inhibiting the entry of peripheral tissue T lymphocytes into afferent lymphatics.

Sample Metadata Fields

Specimen part

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accession-icon GSE69280
Therapy-induced self-renewal of CD133hi cells regulates escape from tumor dormancy and endocrine-resistant metastatic luminal breast cancer
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

HT induces an OXPHOS metabolic editing of ER+ breast cancers, paradoxically establishing HT-driven self-renewal of dormant CD133hi/ERlo cells mediating metastatic progression, which is sensitive to dual targeted therapy

Publication Title

Self-renewal of CD133(hi) cells by IL6/Notch3 signalling regulates endocrine resistance in metastatic breast cancer.

Sample Metadata Fields

Specimen part

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accession-icon GSE26476
Smooth muscle IL-4 receptor activation induces airway hyper-responsiveness
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Selective stimulation of IL-4 receptor on smooth muscle induces airway hyper-responsiveness in mice.

Publication Title

Selective stimulation of IL-4 receptor on smooth muscle induces airway hyperresponsiveness in mice.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE14249
Genes induced by IL-9 in the colon of transgenic mice
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

The aim of this work was to identify genes induced by IL-9 in the colon of IL-9-tarnsgenic mice (Tg5). Therefore, we performed a comprehensive study of the genes expressed in the colon of IL-9 transgenic and wild type FVB mice, taking advantage of the affymetrix microarray technology.

Publication Title

IL-9 promotes IL-13-dependent paneth cell hyperplasia and up-regulation of innate immunity mediators in intestinal mucosa.

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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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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