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accession-icon GSE26890
Gene expression profiles of human effector CD8+ T cell subsets
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Effector CD8+ T cells are believed to be terminally differentiated cells having cytotoxic activity and the ability to produce effector cytokines such as INF- and TNF-. We investigated the difference between CXCR1+ and CXCR1- subsets of human effector CD27-CD28-CD8+ T cells. Both subsets similarly expressed cytolytic molecules and exerted substantial cytolytic activity, whereas only the CXCR1- subset had IL-2 productivity and self-proliferative activity and was more resistant to cell death than the CXCR1+ subset. These differences were explained by the specific up-regulation of CAMK4, SPRY2, and IL-7R in the CXCR1- subset and that of pro-apoptotic DAPK1 in the CXCR1+ subset. The IL-2 producers were more frequently found in the IL-7R+ subset of the CXCR1- effector CD8+ T cells than in the IL-7R- subset. IL-7/IL-7R signaling promoted cell survival only in the CXCR1- subset. The present study has highlighted a novel subset of effector CD8+ T cells producing IL-2 and suggests the importance of this subset in the homeostasis of effector CD8+ T cells.

Publication Title

Functional heterogeneity of human effector CD8+ T cells.

Sample Metadata Fields

Sex, Specimen part

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accession-icon E-MEXP-922
Transcription profiling of yeast with a fumarase point mutation or knock-out to model hereditary leiomyomatosis and renal cell cancer
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome S98 Array (ygs98)

Description

Effect of fumarase point mutation or knock-out on transcriptional profile in yeast to model hereditary leiomyomatosis and renal cell cancer (HLRCC).

Publication Title

Modeling tumor predisposing FH mutations in yeast: effects on fumarase activity, growth phenotype and gene expression profile.

Sample Metadata Fields

Sex, Subject

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accession-icon GSE19954
Telmisartan Improves Insulin Resistance with Modulating Adipose Tissue Macrophage Polarization in High Fat-fed Mice
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Diet-induced obesity is reported to induce a phenotypic switch in adipose tissue macrophages from an antiinflammatory M2 state to a proinflammatory M1 state. Telmisartan, an angiotensin II type 1 receptor antagonist and a peroxisome proliferator-activated receptor-gamma (PPAR-gamma) agonist, reportedly has beneficial effects on insulin sensitivity. We studied the effects of telmisartan on the adipose tissue macrophage phenotype in high fat-fed mice. Telmisartan was administered for 5 weeks to high fat-fed C57BL/6 mice. Insulin sensitivity, macrophage infiltration, and the gene expressions of M1 and M2 markers in epididymal fat tissues were examined. Insulin- or a glucose-tolerance test showed that telmisartan treatment improved insulin resistance, decreasing the body weight gain, visceral fat weight and adipocyte size without affecting the amount of food intake. Telmisartan treatment reduced the number of CD11c-positive cells and crown-like structures. Telmisartan reduced the mRNA expressions of M1 macrophage markers, such as TNF-alpha and IL-6, and increased the expression of M2 markers, such as IL-10 and Mgl2. The reduction of M1 macrophage markers, as well as the increased gene expression of M2 markers especially IL-10, is a possible mechanism for the improvement of insulin sensitivity by telmisartan.

Publication Title

Telmisartan improves insulin resistance and modulates adipose tissue macrophage polarization in high-fat-fed mice.

Sample Metadata Fields

Sex, Specimen part, Treatment

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accession-icon GSE22105
Discrete Roles of STAT4 and STAT6 Transcription Factors in Tuning Epigenetic Modifications and Transcription during Helper T Cell Differentiation
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Discrete roles of STAT4 and STAT6 transcription factors in tuning epigenetic modifications and transcription during T helper cell differentiation.

Sample Metadata Fields

Specimen part

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accession-icon GSE7218
Effect of IgG cytoplasmic tail on BCR-respose genes
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

IgG cytoplasmic tail interferes with the induction of antigen-response genes

Publication Title

Enhancement and suppression of signaling by the conserved tail of IgG memory-type B cell antigen receptors.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE65350
Expression data from mouse embryo
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

To understand the molecular mechanism by which regulate skeletal development, we attempted to identify transcription factors that were highly expressed in developing cartilage during the embryonic stage.

Publication Title

The transcription factor Foxc1 is necessary for Ihh-Gli2-regulated endochondral ossification.

Sample Metadata Fields

Specimen part

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accession-icon SRP119207
Next Generation Sequencing Facilitates Quantitative Analysis of Transcriptomes of human U2OS cells under mild replication stress by low dose aphidicolin (APH)
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

To detect transcripts before and after APH treatment, we subjected total RNA isolated from U2OS cells expressing human FANCD2-3xFLAG to next generation sequencing. Overall design: U2OS cells expressing human FANCD2-3xFLAG were treated with 0.4 micro M APH, or left antreated for 24 hrs.

Publication Title

Replication stress induces accumulation of FANCD2 at central region of large fragile genes.

Sample Metadata Fields

Treatment, Subject

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accession-icon GSE37431
Endothelial cell-enriched genes expression in mouse embryo
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The early blood vessels of the embryo and yolk sac in mammals develop by aggregation of de novo forming angioblasts into a primitive vascular plexus, which then undergoes a complex remodeling process. Angiogenesis is also important for disease progression in the adult. However, the precise molecular mechanism of vascular development remains unclear.

Publication Title

Genome-wide identification of endothelial cell-enriched genes in the mouse embryo.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP048990
Comparative transcriptomic analysis of self-organized, in vitro generated optic tissues
  • organism-icon Mus musculus
  • sample-icon 30 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 1500

Description

Embryonic stem (ES) cells have a remarkable capacity to self-organize complex, multi-layered optic cups in vitro via a culture technique called SFEBq. During both SFEBq and in vivo optic cup development, Rax (Rx) expressing neural retina epithelial (NRE) tissues utilize Fgf and Wnt/ß-catenin signalling pathways to differentiate into neural retina (NR) and retinal-pigmented epithelial (RPE) tissues, respectively. How these signaling pathways affect gene expression during optic tissue formation has remained largely unknown, especially at the transcriptome scale. Overall design: We generated Day 10 Rx+ optic tissue using SFEBq, exposed these tissues to either Fgf or Wnt/ß-catenin stimulation, and assayed their gene expression at Days 12 and 15 using RNA-Seq. We measured gene expression in these 5 sample groups in biological triplicate using RNA-seq (Illumina HiSeq) .

Publication Title

Comparative, transcriptome analysis of self-organizing optic tissues.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE72520
Self-patterning of rostral-caudal neuroectoderm requires dual role of Fgf signaling for localized Wnt antagonism
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The neuroectoderm is patterned along a rostral-caudal axis in response to localized factors in the embryo, but exactly how these factors act as positional information for this patterning is not yet fully understood. Here, using the self-organizing properties of mouse embryonic stem cell (ESC), we report that ESC-derived neuroectoderm self-generates a Six3+ rostral and a Irx3+ caudal bipolarized patterning. In this instance, localized Fgf signaling performs dual roles, as it regulates Six3+ rostral polarization at an earlier stage and promotes Wnt signaling at a later stage. The Wnt signaling components are differentially expressed in the polarized tissues, leading to genome-wide Irx3+ caudal-polarization signals. Surprisingly, differentially expressed Wnt agonists and antagonists have essential roles in orchestrating the formation of a balanced rostral-caudal neuroectoderm pattern. Together, our findings provide key processes for dynamic self-patterning and evidence that a temporally and locally regulated interaction between Fgf and Wnt signaling controls self-patterning in ESC-derived neuroectoderm.

Publication Title

Self-patterning of rostral-caudal neuroectoderm requires dual role of Fgf signaling for localized Wnt antagonism.

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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