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accession-icon GSE47162
Skin gene expression correlates of severity of interstitial lung disease in systemic sclerosis
  • organism-icon Homo sapiens
  • sample-icon 59 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

We identified eighty two skin transcripts significantly correlated with the severity of interstitial lung disease (ILD) in systemic sclerosis.

Publication Title

Skin gene expression correlates of severity of interstitial lung disease in systemic sclerosis.

Sample Metadata Fields

Age, Specimen part, Race, Subject

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accession-icon GSE70048
caArray_green-00030: 2-methoxyestradiol (2ME2) induces mammary gland differentiation through amphiregulin-EGFR mediated signaling
  • organism-icon Mus musculus
  • sample-icon 55 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

2-methoxyestradiol (2ME2) induces mammary gland differentiation through amphiregulin-EGFR mediated signaling: molecular distinctions from the mammary gland of pregnant mice.High levels of 2ME2 are observed in the late stages of pregnancy. We investigated the role of 2ME2 on normal mammary gland development. Large scale gene expression assays were performed using Affymetrix GeneChips in pursuit of detailed molecular basis. (1) Mammary glands of wild type FVB mice administered 75 or 150 mg/kg of 2ME2 (2) Mammary glands of normal FVB/Nj mice (i) at day 16 of pregnancy, (ii) day 2 of lactation (iii) day 30 of post-lactation, and (3) mammary epithelial SCp2 cells after 6, 24 and 48 hours of 10 micromol 2ME2 treatment were examined. In vivo studies revealed that 2ME2 treatment up regulates the expression of amphiregulin. The clue to the role of 2ME2 in differentiation comes from studies in vitro which detected down regulation of inhibitor of differentiation (Id-1) gene and consequent up regulation of amphiregulin. The differentiation of E2 negative SCp2 cells by 2ME2 indicate estradiol independent mechanism. For details, please see our paper in Endocrinology 2006.

Publication Title

2-methoxyestradiol induces mammary gland differentiation through amphiregulin-epithelial growth factor receptor-mediated signaling: molecular distinctions from the mammary gland of pregnant mice.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE4724
Transcriptome analysis of the arginine regulon in E.coli
  • organism-icon Escherichia coli
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix E. coli Genome 2.0 Array (ecoli2)

Description

Analysis of the response to arginine of the Escherichia coli K-12 transcriptome by microarray hybridization and real-time quantitative PCR provides a first coherent quantitative picture of the ArgR-mediated repression of arginine biosynthesis and uptake genes. Transcriptional repression was shown to be the major control mechanism of the biosynthetic genes, leaving only limited room for additional transcriptional or post-transcriptional regulations. The art genes coding for the specific arginine uptake system are subject to ArgR-mediated repression,

Publication Title

The arginine regulon of Escherichia coli: whole-system transcriptome analysis discovers new genes and provides an integrated view of arginine regulation.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE7459
IL-6 induced changes in gene expression in activated mouse CD4+ T cells
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

IL-6, a proinflammtory cytokine produced by antigen presenting cells and non-hematopoietic cells in response to external stimuli, acts as an important bridge between the innate and adaptive immune responses. IL-6 together with IL-4 can promote Th2 polarization, while in combination with TGFbeta mediates Th17 differentiation. We examined early changes in gene expression in mouse CD4+ T cells induced by IL-6.

Publication Title

The induction of antibody production by IL-6 is indirectly mediated by IL-21 produced by CD4+ T cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP101878
The metabolic regulator mTORC1 controls terminal myeloid differentiation
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Monocytes are derived from hematopoietic stem cells through a series of intermediate progenitor stages, but the factors that regulate this process are incompletely defined. Using a Ccr2/Cx3cr1 dual-reporter system to model murine monocyte ontogeny, we conducted a small molecule screen that identified an essential role of mechanistic target of rapamycin complex 1 (mTORC1) in the development of monocytes and other myeloid cells. Overall design: Examination of gene expression in 1) Granulocyte-Monocyte Progenitors from Raptor KO mice, Tsc2 KO mice and controls; and 2) DR-ER-Hoxb8 cells differentiated in the presence of DMSO, rapamycin or SL0101-01

Publication Title

The metabolic regulator mTORC1 controls terminal myeloid differentiation.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon SRP072120
Whole transcriptome analysis of UUO mouse model of renal fibrosis reveals new molecular players in kidney diseases
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The study demontrates differences in the transcriptome ( both of protein coding transcripts and long non-coding RNAs) in the unilateral ureteric obstruction model of renal fibrosis. Overall design: Renal tissue was studied from animals undergoing sham operation (as controls) or right ureteric ligation. Animals were sacrificed 2 and 8 days following ligation and the right kidney tissue was examined.

Publication Title

Whole-transcriptome analysis of UUO mouse model of renal fibrosis reveals new molecular players in kidney diseases.

Sample Metadata Fields

Sex, Age, Specimen part, Cell line, Subject

View Samples
accession-icon GSE23720
High-resolution comparative genomic hybridization of inflammatory breast cancer and identification of candidate genes
  • organism-icon Homo sapiens
  • sample-icon 197 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Inflammatory breast cancer (IBC) is an aggressive form of BC poorly defined at the molecular level. We compared the molecular portraits of 63 IBC and 134 non-IBC (nIBC) clinical samples. Genomic imbalances of 49 IBCs and 124 nIBCs were determined using high-resolution array-comparative genomic hybridization, and mRNA expression profiles of 197 samples using whole-genome microarrays. Genomic profiles of IBCs were as heterogeneous as those of nIBCs, and globally relatively close. However, IBCs showed more frequent complex patterns and a higher percentage of genes with CNAs per sample. The number of altered regions was similar in both types, although some regions were altered more frequently and/or with higher amplitude in IBCs. Many genes were similarly altered in both types; however, more genes displayed recurrent amplifications in IBCs.

Publication Title

High-resolution comparative genomic hybridization of inflammatory breast cancer and identification of candidate genes.

Sample Metadata Fields

Age

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accession-icon SRP002958
microRNA expression in human tonsillar B cell populations
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerII

Description

small RNA profiles of 6 human tonsillar B cell populatios (naive B cells, pre-germinal center B cells, centrocytes, centroblasts, memory B cells, and plasma cells) were determined by deep sequencing. These samples were compared to mouse developing lymphocytes, various hematopoietic cell lineages, and tissues. Overall design: small RNA expression profiles of 6 well defined B cell populations isolated from human tonsils.

Publication Title

Regulation of microRNA expression and abundance during lymphopoiesis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE13763
Gene expression profiling after RNA interference of CXCR4 in human ovarian cancer cell line IGROV-1.
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In the past three years the role of inflammatory cytokines and chemokines in tumour promotion and progression has been intensively studied. The chemokine receptor CXCR4 and its ligand CXCL12 are commonly expressed in malignant cells from primary tumours, metastases and also in malignant cell lines. To investigate the biological significance of this receptor/ligand pair, we knocked-down CXCR4 expression in ovarian cancer cell line IGROV-1 using shRNA, and established stable cell lines.

Publication Title

A dynamic inflammatory cytokine network in the human ovarian cancer microenvironment.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE18681
Gene expression profile of ascites cell samples from patients with advanced ovarian cancer
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We present evidence for an autocrine cytokine network in human ovarian cancer that has paracrine actions on the tumour microenvironment. In experiments using bioinformatics analysis of large gene expression array datasets and ovarian cancer biopsies, we found that the inflammatory cytokines TNF- and IL-6, the chemokine receptor CXCR4 and its ligand CXCL12, are co-regulated in malignant cells. We named this co-regulation the TNF network.

Publication Title

A dynamic inflammatory cytokine network in the human ovarian cancer microenvironment.

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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