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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 GSE68731
Expression analysis of RPA12 in Saccharomyces cerevisiae (BY4741)
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

RPA12 is a subunit of RNA polymerase I.

Publication Title

Microarray data analyses of yeast RNA Pol I subunit RPA12 deletion strain.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE43695
Comparative analysis of gene expression in Fra-1+/+ and Fra-1-/- mice lung
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

We hypothesized that gene expression in lungs of Fra-1+/+ and Fra-1-/- mice are divergent thus contributing fibrosis. More specifically, Fra-1-/- mice are increased susceptible to fibrosis. In order to test these hypotheses at the gene expression level, we utilized microarray analysis to examine transcriptional differences between Fra-1+/+ and Fra-1-/- mice at early time point.

Publication Title

Expression profiling of genes regulated by Fra-1/AP-1 transcription factor during bleomycin-induced pulmonary fibrosis.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE25692
Expression in prospectively purified human prostate orthotopic xenograft tumor cells with varying S/TFE
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge IconIllumina HumanWG-6_V2_0_R2

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Tumour-initiating stem-like cells in human prostate cancer exhibit increased NF-κB signalling.

Sample Metadata Fields

Cell line

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accession-icon GSE25690
Global analysis of mRNA expression in prospectively purified human prostate orthotopic xenograft tumor cells with varying S/TFE
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge IconIllumina HumanWG-6_V2_0_R2

Description

Human prostate CWR22 OT-tumor cells were prospectively purified for expression of various stem cell markers (TRA-1-60/CD151/CD166/EpCAM/CD44/2-Integrin). Unsorted total tumor cells or the additional marker positive cells that do not manifest stem-like characteristics were used as control. All these cells were subjected to molecular profiling of total RNA expression and the fold change data are tabulated according to S/TFE of the purified cells in relation to their control.

Publication Title

Tumour-initiating stem-like cells in human prostate cancer exhibit increased NF-κB signalling.

Sample Metadata Fields

Cell line

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accession-icon GSE56843
Steroid Receptor Coactivator 1 is an Integrator of Glucose and NAD(+)/NADH Homeostasis
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

SRC-1 affects the expression of complex I of the mitochondrial electron transport chain, a set of enzymes responsible for the conversion of NADH to NAD(+). NAD(+) and NADH were subsequently identified as metabolites that underlie SRC-1's response to glucose deprivation. Knockdown of SRC-1 in glycolytic cancer cells abrogated their ability to grow in the absence of glucose consistent with SRC-1's role in promoting cellular adaptation to reduced glucose availability

Publication Title

Steroid receptor coactivator 1 is an integrator of glucose and NAD+/NADH homeostasis.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE65010
Gene expression profiling of effector and regulatory T-cells from peripheral blood of rheumatoid arthritis (RA) patients and healthy volunteers.
  • organism-icon Homo sapiens
  • sample-icon 42 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Objective: Conflicting evidence exists regarding the suppressive capacity of Tregs from the peripheral blood (PB) of patients with rheumatoid arthritis (RA). Our aim was to determine whether Tregs are intrinsically defective in RA using a wide range of read-out assays. Methods: CD3+CD4+CD25+CD127low Tregs from CD45RO+ and CD45RA+ compartments of PB from patients with RA and healthy controls (HC) were analysed for phenotype, cytokine expression profile (ex vivo and after in vitro stimulation), suppression of effector T-cell proliferation and cytokine production, suppression of monocyte-derived cytokine/chemokine production, and gene expression profiling. Results: No differences were observed between patients with RA and HC regarding Treg frequency, ex vivo phenotype (CD4, CD25, CD127, CD39, CD161) or pro-inflammatory cytokine profile (IL-17, IFN-gamma, TNF-alpha). FOXP3 expression was increased in Tregs from RA blood. The ability of Tregs to suppress T-cell proliferation or cytokine (IFN-gamma, TNF-alpha) production upon co-culture with autologous CD45RO+ effector T-cells and monocytes was not significantly different between patients with RA and HC. CD45RO+ Tregs from RA blood showed a slightly impaired ability to suppress production of some cytokines/chemokines by autologous LPS-activated monocytes (IL-1-beta, IL-1Ra, IL-7, CCL3, CCL4), but this was not true for all patients and other cytokines/chemokines (TNF-alpha, IL-6, IL-8, IL-12, IL-15, CCL5) were suppressed in the majority of patients similarly to HC. Finally, gene expression profiling of CD45RA+ or CD45RO+ Tregs from PB revealed no statistically significant differences between patients with RA and HC. Conclusions: Our findings suggest that Tregs isolated from PB of patients with RA are not intrinsically defective.

Publication Title

Phenotypic, Functional, and Gene Expression Profiling of Peripheral CD45RA+ and CD45RO+ CD4+CD25+CD127(low) Treg Cells in Patients With Chronic Rheumatoid Arthritis.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject

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accession-icon GSE55994
Global murine pulmonary response to highly and less virulent influenza A (H3N2) virus infections at 12, 48 and 96 h post-infection
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina mouseRef-8 v1.1 expression beadchip

Description

Array analysis of total lung RNAs from female BALB/c mice collected at 12, 48 and 96 h post-infection with highly and less virulent influenza A (H3N2) viruses. Viruses (designated as LVI and HVI) were derived from influenza strain virus A/Aichi/2/68 (Aichi68). LVI is Aichi68 propagated in eggs, and HVI is mouse adapted Aichi68.

Publication Title

Differential pulmonary transcriptomic profiles in murine lungs infected with low and highly virulent influenza H3N2 viruses reveal dysregulation of TREM1 signaling, cytokines, and chemokines.

Sample Metadata Fields

Sex, Specimen part, Treatment

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accession-icon GSE71370
Profiling of CD14+ monocytes from paired rheumatoid arthritis (RA)-patient peripheral blood and synovial fluid samples
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

CD14+ monocytes sorted from the synovial fluid or peripheral blood of rheumatoid arthritis patients were analyzed by full transcriptome microarray analysis. Monocytes from healthy control samples (peripheral blood) were also profiled.

Publication Title

MicroRNA-155 contributes to enhanced resistance to apoptosis in monocytes from patients with rheumatoid arthritis.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject

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accession-icon GSE67225
Deciphering Cell-Specific Responses to Oncogenic Stress in the Liver
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Each cell type responds uniquely to stress and fractionally contributes to global and tissue-specific stress responses. Hepatocytes, liver macrophages (M), and sinusoidal endothelial cells (SEC) play functionally important and interdependent roles in adaptive processes such as wound healing, obesity, and tumor growth. Although these cell types demonstrate significant phenotypic and functional heterogeneity, their distinctions enabling disease-specific responses remain understudied. To address this, we developed a strategy for simultaneous isolation and quantification of these liver cell types based on antigenic cell surface marker expression in response to DEN and found that while there was only a marginal increase in hepatocyte number, M and SEC populations were quantitatively increased. Global gene expression profiling of hepatocytes, M and SEC identified characteristic gene fingerprints that define each cell type and their distinct physiological or oncogenic stress signatures. Integration of these cell-specific gene fingerprints with available hepatocellular carcinoma (HCC) patient microarray data demonstrates that the hepatocyte-specific response strongly correlates with the human HCC gene expression profile. Liver-specific M and SEC gene signatures demonstrate significant alterations in inflammatory and angiogenic gene regulatory pathways, which may impact the hepatocyte response to oncogenic stress. Further validation confirms alterations in components of two key pathways, AP-1 and p53, that have been previously associated with HCC onset and progression. Our data reveal unique gene expression patterns that serve as molecular fingerprints for the cell-centric responses to pathologic stimuli in the distinct microenvironment of the liver. The technical advance highlighted in this study provides an essential resource for assessing hepatic cell-specific contributions to oncogenic stress, information that could unveil previously unappreciated molecular mechanisms for the cellular crosstalk that underlies the development of hepatic cancer.

Publication Title

Deciphering hepatocellular responses to metabolic and oncogenic stress.

Sample Metadata Fields

Sex, 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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