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accession-icon GSE22025
Progesterone-regulated genes in immune cells: Regulation of T cell genes by progesterone
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We examined the global gene expression pattern of T cells regulated by progesterone to gain further insights into the regulatory mechanisms of progesterone. We found 325-347 cord blood T cell genes up or down-regulated by P4 in the presence or absence of exogenous TGFb1. Peripheral blood T cells were relatively unresponsive with only 30-70 genes regulated by P4. IL-6 receptor (IL-6R) expression was greatly down-regulated by progesterone in cord blood, but not PB, T cells. Overall, these differences in gene expression are consistent with the differential responses of cord blood and peripheral blood T cells to progesterone. To gain insights into the differences of progesterone and control dendritic cells, we performed a microarray study and found ~180 genes regulated by progesterone in dendritic cells. The gene expression information suggests that progesterone has the potential to alter dendritic cell responses to cytokines, chemokine production, and migration which in combination would control T cell differentiation.

Publication Title

Progesterone promotes differentiation of human cord blood fetal T cells into T regulatory cells but suppresses their differentiation into Th17 cells.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE20500
T cell genes regulated by retinoic acid
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This is to determine the T cell genes regulated by retinoic acid.

Publication Title

Complementary roles of retinoic acid and TGF-β1 in coordinated expression of mucosal integrins by T cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE34324
Gene expression by Retinoic Acid in mouse Dendritic Cells
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The purpose of this study was to determine and clarify the retinoic effect on the gene expression profile for mouse dendritic cells.

Publication Title

Retinoic acid promotes the development of Arg1-expressing dendritic cells for the regulation of T-cell differentiation.

Sample Metadata Fields

Specimen part

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accession-icon GSE3837
Methylglyoxal treatment of MH-S cell line induces apoptosis and immune response
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Mycobacteria-induced apoptosis of macrophages plays an important role in modulation of the host immune response involving TNF-alpha as major cytokine. The underlying mechanisms are still ill-defined. Here, we show for the first time that methylglyoxal (MG) and AGEs levels were elevated during mycobacterial infection of macrophages and that their increased levels mediated mycobacteria-induced apoptotic and immune response of macrophages. Moreover, we show that high levels of AGEs were formed at the sites of pulmonary tuberculosis. This observation represents the first evidence of the potential involvement of AGEs in tuberculosis and in infectious diseases in general. Global gene expression profiling of MG-treated macrophages reveals diversified potential roles of MG in cellular processes, including apoptosis, immune response, and growth regulation. The results of this study provide new insights into intervention strategies to develop therapeutic tools against infectious diseases in which MG and AGE production plays critical roles.

Publication Title

Critical role of methylglyoxal and AGE in mycobacteria-induced macrophage apoptosis and activation.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE42637
LEF1 in Burkitt lymphoma
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Recently global gene expression profiling of patients samples lead to a molecular definition of Burkitt Lymphoma (BL) with lymphocyte enhancer-binding factor 1 (LEF1) as a signature gene. Here we report the discovery of nucleic LEF1 in a very high proportion of BL cases (15/18) and LEF1 target genes. Germinal center B cells were devoid of detectable nuclear LEF1 expression as mantle cell lymphoma (0/5), marginal zone lymphoma (0/6), follicular lymphoma (0/12) or diffuse large B cell lymphoma (DLBCL) (1/31). Using whole genome gene expression profiling after transient knockdown of LEF1 in BL cell lines, new LEF1 target genes were identified. The joint expression of these genes in primary BL samples shows that LEF1 is not only expressed aberrantly in BL but also transcriptionally active. Our study identified aberrantly expressed LEF1 and its target genes suggesting an important functional role in BLs.

Publication Title

Aberrant lymphocyte enhancer-binding factor 1 expression is characteristic for sporadic Burkitt's lymphoma.

Sample Metadata Fields

Cell line

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accession-icon GSE65067
Expression data from WT and TREM2 deficient microglia in a mouse model of Alzheimer's disease
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

We examined the role of TREM2 on microglia responses to amyloid-beta deposition in a mouse model of Alzheimer's disease

Publication Title

TREM2 lipid sensing sustains the microglial response in an Alzheimer's disease model.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE21578
Transcriptome-wide identification of RNA-binding protein and microRNA target sites by PAR-CLIP
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Transcriptome-wide identification of RNA-binding protein and microRNA target sites by PAR-CLIP.

Sample Metadata Fields

Cell line

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accession-icon GSE42660
BL2 cells stimulated with B cell specific paracrine stimuli
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Expression data of BL2 Burkitt Lymphoma cell line (controls and samples treated with different B cell specific stimuli)

Publication Title

Global gene expression changes of in vitro stimulated human transformed germinal centre B cells as surrogate for oncogenic pathway activation in individual aggressive B cell lymphomas.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon SRP131850
RNAseq of cortex of 6-month old APPPS1 and APPPS1;Apoe-/- mice
  • organism-icon Mus musculus
  • sample-icon 13 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

One of the hallmarks of Alzheimer's disease is the presence of extracellular diffuse and fibrillar plaques predominantly consisting of the amyloid-ß (Aß) peptide. ApoE influences the deposition of amyloid pathology through affecting the clearance and aggregation of monomeric Aß in the brain. In addition to influencing Aß metabolism, increasing evidence suggests that apoE influences microglial function in neurodegenerative diseases. Here, we characterize the impact that apoE has on amyloid pathology and the innate immune response in APPPS1?E9 and APPPS1-21 transgenic mice. We report that Apoe deficiency reduced fibrillar plaque deposition consistent with previous studies. However, fibrillar plaques in Apoe-deficient mice exhibited a striking reduction in plaque compaction. Hyperspectral fluorescent imaging using luminescent conjugated oligothiophenes identified distinct Aß morphotypes in Apoe-deficient mice. We also observed a significant reduction in fibrillar plaque-associated microgliosis and activated microglial gene expression in Apoe-deficient mice, along with significant increases in dystrophic neurites around fibrillar plaques. Our results suggest that apoE is critical in stimulating the innate immune response to amyloid pathology. Overall design: Assessed the cortical gene expression of 6-month old APPPS1-21;ApoE-/- (n=7) and APPPS1-21 mice (n=6).

Publication Title

ApoE facilitates the microglial response to amyloid plaque pathology.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE21574
Transcriptome-wide identification of RNA-binding protein and microRNA target sites by PAR-CLIP: QKI data
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To assess whether the transcripts identified by PAR-CLIP are regulated by the RNA-binding protein (RBP) Quaking (QKI), we analyzed the mRNA levels of mock-transfected and QKI-specific siRNA-transfected cells with microarrays. Transcripts crosslinked to QKI were significantly upregulated upon siRNA transfection, indicating that QKI negatively regulates bound mRNAs (Figure 3H of PMID 20371350), consistent with previous reports of QKI being a repressor.

Publication Title

Transcriptome-wide identification of RNA-binding protein and microRNA target sites by PAR-CLIP.

Sample Metadata Fields

Cell line

View Samples

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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