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accession-icon GSE18773
CAL-51 breast cancer side population cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Human solid tumors contain rare cancer side population (SP) cells, which expel the fluorescencent dye H33342 and display cancer stem cell characteristics. Transcriptional profiling of cancer SP cells isolated by H33342 fluorescence analysis is a newly emerging approach to discover cancer stem cell markers and aberrant differentiation pathways. Using Affymetrix expression microarrays this study investigated differential gene expression between SP and non-SP (NSP) cells isolated from the CAL-51 human mammary carcinoma cell line.

Publication Title

Down-regulation of the fetal stem cell factor SOX17 by H33342: a mechanism responsible for differential gene expression in breast cancer side population cells.

Sample Metadata Fields

Specimen part

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accession-icon SRP067407
Expression Profiling of Macrophages Reveals Multiple Populations with Distinct Biological Roles in an Immunocompetent Orthotopic Model of Lung Cancer
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Macrophages represent an important component of the tumor microenvironment and play a complex role in cancer progression. These cells are characterized by a high degree of plasticity, and alter their phenotype in response to local environmental cues. While the M1/M2 classification of macrophages has been widely used, the complexity of macrophage phenotypes specifically in lung cancer has not been well studied. In this study we employed an orthotopic immunocompetent model of lung adenocarcinoma in which murine lung cancer cells are directly implanted into the left lobe of syngeneic mice. Using multi-marker flow cytometry we defined and recovered several distinct populations of monocytes/macrophages from tumors at different stages of progression. We used RNA-seq transcriptional profiling to define distinct features of each population and determine how they change during tumor progression. We defined an alveolar resident macrophage population that does not change in number and express multiple genes related to lipid metabolism and lipid signaling. We also defined a population of tumor-associated macrophages that increase dramatically with tumor, and selectively express a panel of chemokines genes. A third population, which resembles tumor-associated monocytes, expresses a large number of genes involved in matrix remodeling. By correlating transcriptional profiles with clinically prognostic genes, we show that specific monocyte/macrophage populations are enriched in genes that predict good or poor outcome in lung adenocarcinoma, implicating these subpopulations as critical determinants of patient survival. Our data underscore the complexity of monocytes/macrophages in the tumor microenvironment, and suggest that distinct populations play specific roles in tumor progression. Overall design: mRNA profiles of macrophage/monocyte cells isolated from murine control or tumor-bearing lung. From naive mice: MacA cells (MacA-N), MacB1 cells (MacB1-N), MacB2 cells (MacB2-N); from 2 week tumor bearing mice: MacA cells (MacA-2wk), MacB2 cells (MacB2-2wk), MacB3 cells (MacB3-3wk); from 3-week tumor bearing mice: MacB2 (MacB2-3wk), MacB3 cells (MacB3-3wk). Each population was analyzed in triplicate (cells were isolated in 3 independent experiments).

Publication Title

Expression Profiling of Macrophages Reveals Multiple Populations with Distinct Biological Roles in an Immunocompetent Orthotopic Model of Lung Cancer.

Sample Metadata Fields

Cell line, Subject

View Samples
accession-icon GSE14366
Analysis of the retinal gene expression after hypoxic preconditioning identifies candidate genes for neuroprotection
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Neuroprotective therapies for retinal degeneration may be used to rescue retinal cells and preserve vision. Hypoxic preconditioning stabilizes the transcription factor HIF-1 in the retina and strongly protects photoreceptors in an animal model of light-induced retinal degeneration.

Publication Title

Analysis of the retinal gene expression profile after hypoxic preconditioning identifies candidate genes for neuroprotection.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE32432
Expression data from in utero exposure to genistein, vinclozolin and the mixture of genistein and vinclozolin on the mammary gland
  • organism-icon Rattus norvegicus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 1.0 ST Array (ragene10st)

Description

Morphogenesis of the mammary gland relies on the precise developmental control of morphological elements including TEBs, ducts and lobules. In the peripubertal mammary gland, rising levels of ovarian hormones control this development through a tightly controlled genetic program where specific sets of genes are up-regulated.

Publication Title

In utero and lactational exposure to vinclozolin and genistein induces genomic changes in the rat mammary gland.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE3037
Stimulation by LPS and HMGB1 in peripheral blood neutrophils from patients with sepsis-induced acute lung injury
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Peripheral blood neutrophils were isolated from septic patients and treated in vitro with LPS or HMGB1

Publication Title

HMGB1 and LPS induce distinct patterns of gene expression and activation in neutrophils from patients with sepsis-induced acute lung injury.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE23884
An Integrated Approach to Uncover Drivers of Cancer
  • organism-icon Homo sapiens
  • sample-icon 31 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We developed a computational framework that integrates chromosomal copy number and gene expression data for detecting aberrations that promote cancer progression. We demonstrate the utility of this framework using a melanoma dataset. Our analysis correctly identified known drivers of melanoma and predicted multiple novel tumor dependencies. Two dependencies, TBC1D16 and RAB27A, confirmed empirically, suggest that abnormal regulation of protein trafficking contributes to proliferation in melanoma. Together, these results demonstrate the ability of integrative Bayesian approaches to identify novel candidate drivers with biological, and possibly therapeutic, importance in cancer.

Publication Title

An integrated approach to uncover drivers of cancer.

Sample Metadata Fields

Cell line

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accession-icon GSE37911
VEGF189 overexpression in breast cancer cells delays metastasis
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Vascular endothelial growth factor is a multifunctional cytokine playing important roles in angiogenesis, tumor progression and metastasis. Alternative splicing results in the production of several different isoforms of VEGF. We have previously generated human breast cancer cells overexpressing VEGF165 or VEGF189 isoforms (referred to as the V165 and V189 clones, respectively) and showed that VEGF189-transfected cells were less tumorigenic. In this study, we used bioluminescence imaging to analyze the metastasis capacity of breast cancer cell lines (MDA-MB-321) overexpressing VEGF isoforms in nude mice. V165, V189 and control cV clones were transfected with a luciferase plasmid to generate bioluminescent clones (the V165-B, V189-B and cV clones, respectively). These clones were then injected into the left heart ventricle of nude mice.

Publication Title

MDA-MB-231 breast cancer cells overexpressing single VEGF isoforms display distinct colonisation characteristics.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE39411
Expression data from healthy and malignant (chronic lymphocytic leukemia, CLL) human B-lymphocytes after B-cell receptor stimulation
  • organism-icon Homo sapiens
  • sample-icon 151 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Three different cell populations (6 healthy B-lymphocytes, 6 leukemic CLL B-lymphocyte of indolent form and 5 leukemic CLL B-lymphocyte of aggressive form) were stimulated in vitro with an anti-IgM antibody, activating the B-cell receptor (BCR). We analyzed the gene expression at 4 time points (60, 90, 210 and 390 minutes). Each gene expression measurement is performed both in stimulated cells and in control unstimulated cells.

Publication Title

Reverse-engineering the genetic circuitry of a cancer cell with predicted intervention in chronic lymphocytic leukemia.

Sample Metadata Fields

Specimen part

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accession-icon GSE53454
Human islets exposed to cytokines IL-1 and IFN-
  • organism-icon Homo sapiens
  • sample-icon 86 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In the context of T1 Diabetes, pro-inflammatory cytokines IL-1 and IFN- are known to contribute to -cell apoptosis;

Publication Title

Temporal profiling of cytokine-induced genes in pancreatic β-cells by meta-analysis and network inference.

Sample Metadata Fields

Specimen part, Treatment, Time

View Samples
accession-icon GSE53453
Rat insulin-producing INS-1E exposed to cytokines IL-1 and IFN-
  • organism-icon Rattus norvegicus
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 1.0 ST Array (ragene10st)

Description

In the context of T1 Diabetes, pro-inflammatory cytokines IL-1 and IFN- are known to contribute to -cell apoptosis;

Publication Title

Temporal profiling of cytokine-induced genes in pancreatic β-cells by meta-analysis and network inference.

Sample Metadata Fields

Cell line, Treatment, Time

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)

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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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