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accession-icon SRP174051
TNF induces Glucocorticoid Resistance by reshaping the GR Nuclear Cofactor Profile: Investigation of TNF mediated effects on the GR mediated gene expression
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer

Description

Glucocorticoid resistance (GCR) is defined as an unresponsiveness to the anti-inflammatory properties of glucocorticoids (GCs) and their receptor, the glucocorticoid receptor (GR). It is a serious problem in the management of inflammatory diseases and occurs frequently. The strong pro-inflammatory cytokine TNF induces an acute form of GCR, not only in mice, but also in several cell lines, e.g. in the hepatoma cell line BWTG3, as evidenced by impaired Dexamethasone (Dex)-induced GR-dependent gene expression. We report that TNF has a significant and broad impact on the transcriptional performance of GR, but no impact on nuclear translocation, dimerization or DNA binding capacity of GR. Proteome-wide proximity-mapping (BioID), however, revealed that the GR interactome is strongly modulated by TNF. One GR cofactor that interacts significantly less with the receptor under GCR conditions is p300. NF?B activation and p300 knockdown both reduce transcriptional output of GR, whereas p300 overexpression and NF?B inhibition revert TNF-induced GCR, which is in support of a cofactor reshuffle model. This hypothesis is supported by FRET studies. This mechanism of GCR opens new avenues for therapeutic interventions in GCR diseases Overall design: Examination of GR induced gene expression in 4 conditions (1 control: NI and 3 treated: DEX, TNF, TNFDEX) starting from 3 biological replicates

Publication Title

TNF-α inhibits glucocorticoid receptor-induced gene expression by reshaping the GR nuclear cofactor profile.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

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accession-icon GSE35640
Identification of a predictive gene signature to recMAGE A3 antigen-specific cancer immunotherapy in metastatic melanoma and non-small-cell lung cancer
  • organism-icon Homo sapiens
  • sample-icon 64 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Purpose: To evaluate the presence of a gene expression signature present before treatment as predictive of response to treatment with MAGEA3

Publication Title

Predictive gene signature in MAGE-A3 antigen-specific cancer immunotherapy.

Sample Metadata Fields

Specimen part

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accession-icon GSE79625
Overexpression of LMO2 causes aberrant human T-cell development in vivo by three potentially distinct cellular mechanisms
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

LMO2 overexpressing transgenic mouse models suggest an accumulation of immature T-cell progenitors in the thymus as main pre-leukemic event. The effects of LMO2 overexpression on human T-cell development in vivo, however, are unknown. Here we report studies of a humanized mouse model transplanted with LMO2 transduced human hematopoietic stem and progenitor cells. The effects of LMO2 overexpression were confined to the T-cell lineage although initially multipotent cells were transduced. Three effects of LMO2 on human T-cell development were observed: 1) a block at the DN/ISP stage, 2) an accumulation of CD4+CD8+ double positive CD3- cells and 3) an altered CD8/CD4 ratio with enhanced peripheral T lymphocytes

Publication Title

Overexpression of LMO2 causes aberrant human T-Cell development in vivo by three potentially distinct cellular mechanisms.

Sample Metadata Fields

Specimen part

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accession-icon SRP089875
Zebrafish microglia transcriptome
  • organism-icon Danio rerio
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

Purpose: Identify zebrafish microglia transcriptome in the healthy and neurodegenerative brain. Methods: RNA sequencing was performed on FACS-sorted microglia (3x), other brain cells (3x) and activated microglia (4x). Microglia activation was induced using nitroreductase-mediated cell ablation. 10-20 million reads per sample were obtained. Reads were mapped to zebrafish genome GRC10. Results: We identified the zebrafish microglia transcriptome, which shows overlap with previously identified mouse microglia transcriptomes. Transcriptomes obtained 24h and 48h after treatment appeared highly similar. Therefore, these datasets were pooled. Additionally, we identified an acute proliferative response of microglia to induced neuronal cell death. Overall design: Zebrafish microglia transcriptomes of homeostatic microglia (triplicate), other brain cells (triplicate), activated microglia 24h (duplo), activated microglia 48h (duplo). In data analysis all activated microglia samples were pooled.

Publication Title

Identification of a conserved and acute neurodegeneration-specific microglial transcriptome in the zebrafish.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP073608
Aging, microglia and cytoskeletal regulation are key factors in the pathological evolution of the APP23 mouse model for Alzheimer’s disease
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Aging is a key factor in Alzheimer''s disease, but it''s correlation with the pathology and pathological factors like amyloid-beta remains unclear In our study we aimed to provide an extensive characterisation of age-related changes in the gene expression profile of APP23 mice and controls and correlate these changes to pathological and symptomatic features of the model We found a clear biphasic expression profile with a developmental and aging phase. The second phase, particularly, displays aging features and similarties with the progression of Alzheimer pathology in human patients Processes involved in microglial activation, lysosomal processing, neuronal differantion and cytoskeletal regulation appear key factors in this stage. Interestingly, the changes in the gene expression profile of APP23 mice also seem to occur in control animals, but at a later age. The changes appear accelerated and/or exacerbated in APP23 mice. Overall design: mRNA profiles of APP23 mice and wild-type control littermates aged 1.5, 6, 18 or 24 months. For all the age groups, samples of 3 mice of each genotype were analyzed

Publication Title

Aging, microglia and cytoskeletal regulation are key factors in the pathological evolution of the APP23 mouse model for Alzheimer's disease.

Sample Metadata Fields

Age, Specimen part, Subject

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accession-icon E-MEXP-669
Transcription profiling of human normal neuroblasts vs. malignant neuroblastomas (low- and high-stage)
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Comparison of normal neuroblasts with malignant neuroblastomas (low- and high-stage)

Publication Title

Human fetal neuroblast and neuroblastoma transcriptome analysis confirms neuroblast origin and highlights neuroblastoma candidate genes.

Sample Metadata Fields

Sex, Specimen part, Disease, Disease stage, Subject

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accession-icon GSE18662
Expression data of human perirenal adipose tissue-derived mesenchymal stem cells cultured under various conditions
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Human mesenchymal stem cells (MSC) derived from perirenal adipose tissue (PV) of living kidney donors were cultured under various conditions, namely (1) control (medium+foetal bovine serum(FBS)) or (2) control (medium+heat-inactivated FBS); (3) with mixed-lympohocyte reactions (MLR) in transwell culture systems for 4 days; (4) with mixed-lympohocyte reactions (MLR) in transwell culture systems for 7 days; or (5)with pro-inflammatory cytokines(IFNgamma, TNFalpha and interleukin 6).

Publication Title

Inflammatory conditions affect gene expression and function of human adipose tissue-derived mesenchymal stem cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE27159
Expression profiling of the murine neural crest precursor cell line, JoMa1
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

JoMa1 cells are pluripotent precursor cells, derived from the neural crest of mice transgenic for tamoxifen-inducible c-Myc. Following transfection with a cDNA encoding for MYCN, cells become immortlized even in the absence of tamoxifen.

Publication Title

MYCN and ALKF1174L are sufficient to drive neuroblastoma development from neural crest progenitor cells.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE32386
Expression profiling of murine neuroblastoma in transgenic mice
  • organism-icon Mus musculus
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Neuroblastoma is an embryonal tumor arising from the neural crest. It can be mimicked in mice by neural crest-specific overepxression of oncogenes such as MYCN or mutated ALK.

Publication Title

Targeted expression of mutated ALK induces neuroblastoma in transgenic mice.

Sample Metadata Fields

Specimen part

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accession-icon SRP187599
mRNA sequencing of single-cell and 20-cell pools of CD103+CD8+ and CD103-CD8+ T lymphocytes sorted from human ovarian cancer
  • organism-icon Homo sapiens
  • sample-icon 118 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Cytotoxic T cells confer a prognostic benefit in many tumors, including ovarian cancer. We and others have previously identified a subset of CD8+ T cells, namely CD103+CD8+ T cells, that seems to have a better prognostic effect. The aim of this study is to identify how these CD103+ T cells differ from CD103-CD8+ T cells on mRNA level in human samples of ovarian cancer. Overall design: mRNA profiles of 10 pools of 20 cells CD103+CD8+, 10 pools of 20 cells CD103-CD8+, 20 single-cells CD103+CD8+, 20 single-cells CD103-CD8+ were generated from TILs of 3 ovarian cancers (high-grade serous ovarian cancer) by SMARTseq2

Publication Title

A Transcriptionally Distinct CXCL13<sup>+</sup>CD103<sup>+</sup>CD8<sup>+</sup> T-cell Population Is Associated with B-cell Recruitment and Neoantigen Load in Human Cancer.

Sample Metadata Fields

Subject

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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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