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accession-icon GSE12885
Genome-wide changes in DNA methylation and copy number play a role in deregulation of gene expression in osteosarcoma
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconAgilent-014693 Human Genome CGH Microarray 244A (Feature number version), Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Identification of interactive networks of gene expression associated with osteosarcoma oncogenesis by integrated molecular profiling.

Sample Metadata Fields

Specimen part

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accession-icon GSE11416
Comparison of osteosarcoma cell lines and normal human osteoblasts
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconAgilent-014693 Human Genome CGH Microarray 244A (Feature number version), Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

In vitro analysis of integrated global high-resolution DNA methylation profiling with genomic imbalance and gene expression in osteosarcoma.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE12865
Gene expression of human paediatric osteosarcoma tumour samples relative to normal human osteoblasts
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Gain or loss of genes and deregulation of gene expression can result in cumulative and progressive disruptions of normal cellular functions.

Publication Title

Identification of interactive networks of gene expression associated with osteosarcoma oncogenesis by integrated molecular profiling.

Sample Metadata Fields

Specimen part

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accession-icon GSE11414
Gene expression of osteosarcoma cell (U2OS, MG63) lines relative to normal human osteoblasts (HOB)
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Gain or loss of genes and deregulation of gene expression can result in cumulative and progressive disruptions of normal cellular functions.

Publication Title

In vitro analysis of integrated global high-resolution DNA methylation profiling with genomic imbalance and gene expression in osteosarcoma.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE81818
Profiling -irradiated invasive Plasmodium falciparum merozoites using a systems biology approach
  • organism-icon Plasmodium falciparum
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Plasmodium/Anopheles Genome Array (plasmodiumanopheles)

Description

Plasmodium falciparum malaria severely impacts human health. In order to broaden our understanding of merozoite invasion of erythrocytes which is responsible for clinical disease, a P. falciparum -irradiated "long-lived merozoite" (LLM) line was investigated. Cell-sieve purified LLM invaded human erythrocytes with an improved efficiency of 10- to 300-fold greater than wild-type (WT) parasites. A comparison of their genomes identified limited changes in the open reading frame of LLM; while only marginal differences were observed in the transcriptomes. Analysis of their proteomes by quantitative mass-spectrometry identified 446 out of 981 proteins of known or unknown function with a significant change in protein abundance (ANOVA p < 0.05). Furthermore, the relative molar concentration of nearly 1100 merozoite proteins was established. Unfortunately, a specific change being responsible for the LLM phenotype was not identified. However, immunoblot analyses of LLM lysates showed proteolytic processing of some proteins of the MSP1 complex and AMA1 were delayed, suggesting that this delayed proteolysis positively impacted merozoite viability and subsequent invasion.

Publication Title

Profiling invasive Plasmodium falciparum merozoites using an integrated omics approach.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE7454
Modulation of gene expression by decitabine in U-2OS cells in vitro and in vivo
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Background: Epigenetic modifications such as methylation silencing of genes with CpG-island-associated promoters is frequently observed in cancer. Studies regarding the implications of epigenetic modifications in osteosarcoma (OS) have been limited. The epigenetic drug decitabine is a potential re-activator of silenced genes through de-methylation, and is currently undergoing clinical trials for cancer treatment. No study to date has utilized decitabine to modify gene expression in OS-derived cells to identify gene-specific methylation targets that may have therapeutic importance. The objective of this study was to measure the response of the OS cell line, U-2OS, to decitabine treatment both in vitro and in vivo.

Publication Title

Modulation by decitabine of gene expression and growth of osteosarcoma U2OS cells in vitro and in xenografts: identification of apoptotic genes as targets for demethylation.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE51373
Gene expression data from high grade serous ovarian cancer
  • organism-icon Homo sapiens
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background: Resistance to platinum-based chemotherapy remains a major impediment in the treatment of serous epithelial ovarian cancer. The objective of this study was to use gene expression profiling to delineate major deregulated pathways and biomarkers associated with the development of intrinsic chemotherapy resistance upon exposure to standard first-line therapy for ovarian cancer. Methods: The study cohort comprised 28 patients divided into two groups based on their varying sensitivity to first-line chemotherapy using progression free survival (PFS) as a surrogate of response. All 28 patients had advanced stage, high-grade serous ovarian cancer, and were treated with the same standard platinum-based chemotherapy. Twelve patient tumors demonstrating relative resistance to platinum chemotherapy corresponding to shorter PFS (< eight months) were compared to sixteen tumors from platinum-sensitive patients (PFS > eighteen months). Whole transcriptome profiling was performed using a Affymetrix high-resolution microarray platform to permit global comparisons of gene expression profiles between tumors from the resistant group and the sensitive group. Results: Microarray data analysis revealed a set of 204 discriminating genes possessing expression levels, which could influence differential chemotherapy response between the two groups. Robust statistical testing was then performed which eliminated a dependence on the normalization algorithm employed, producing a restricted list of differentially regulated genes, and which found IGF1 to be the most strongly differentially expressed gene. Pathway analysis, based on the list of 204 genes, revealed enrichment in genes primarily involved in the IGF1/PI3K/NFB/ERK gene signalling networks. Conclusions: This study has identified pathway specific prognostic biomarkers possibly underlying a differential chemotherapy response in patients undergoing standard platinum-based treatment of serous epithelial ovarian cancer. Future studies to validate these markers are necessary to apply this knowledge to biomarker-based clinical trials.

Publication Title

Identification of the IGF1/PI3K/NF κB/ERK gene signalling networks associated with chemotherapy resistance and treatment response in high-grade serous epithelial ovarian cancer.

Sample Metadata Fields

Specimen part

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accession-icon GSE15209
Expression data from human foetal neural stem (NS) cell lines and human glioma neural stem (GNS) cell lines
  • organism-icon Homo sapiens
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gliomas have been proposed to be driven by a population of neural stem-like cells. We isolated a panel of novel human glioma cell lines using adherent neural stem cell conditions.

Publication Title

Glioma stem cell lines expanded in adherent culture have tumor-specific phenotypes and are suitable for chemical and genetic screens.

Sample Metadata Fields

Specimen part

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accession-icon GSE12882
Replacing skeletal muscle alpha-actin with cardiac actin in mouse skeletal muscle
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina mouse-6 v1.1 expression beadchip

Description

Skeletal muscle actin mice (Crawford et al., (2002) Mol Cell Biol 22, 5587) were crossed with cardiac actin transgenic mice (termed "ACTC^Coco" or "Coco" for short), to produce mice that had cardiac actin instead of skeletal muscle actin in their skeletal muscles (termed "ACTC^Co/KO" or for short "Coco/KO"). Microarray analysis using the Illumina mouse-6 v1.1 expression beadchip was performed on RNA extraced from the soleus muscle of Coco/KO mice and wildtype mice, to confirm the swith in actin isoform expression, and to determine what other differences might exist between wildtype mice and the Coco/KO mice.

Publication Title

Rescue of skeletal muscle alpha-actin-null mice by cardiac (fetal) alpha-actin.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP067829
DICER controls macrophage polarization and tumor response to immunotherapy
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Tumor-associated macrophages (TAMs) have immunosuppressive capacity in mouse models of cancer. Here we show that the genetic deletion of the microRNA (miRNA)-processing enzyme DICER in TAMs broadly programs them to a CD11c+MRC1-/low M1-like immunostimulatory phenotype characterized by activated interferon-? (IFN-?)/STAT1/IRF signaling. M1-like TAM programming fostered the recruitment of cytotoxic T-cells (CTLs), including tumor-antigen-specific CTLs, inhibited tumor growth, and enhanced the efficacy of PD1 checkpoint blockade. Bioinformatics analysis of TAM transcriptomes identified a limited set of miRNAs putatively involved in TAM programming. Re-expression of Let-7 in Dicer-deficient TAMs was sufficient to partly rescue the M2-like (protumoral) TAM phenotype and abate tumor CTL infiltration. Targeted suppression of DICER activity in TAMs may, therefore, stimulate antitumor immunity and enhance the efficacy of cancer immunotherapy. Overall design: To explore the role of DICER in the development, activation and immunological functions of TAMs, we crossed homozygous LysM-Cre (Clausen et al., 1999) with Dicerlox/lox (Harfe et al., 2005) mice to obtain mice with myeloid-cell-specific Dicer1 gene deletion (LysM-Cre;Dicer–/–, referred to as D–/–). These mice were then backcrossed to LysM-Cre to obtain the control LysM-Cre; Dicer+/+ mice (referred to as D+/+). Both LysM-Cre and Dicerlox/lox mutations were always homozygous in our experiment. We then inoculated Lewis lung carcinoma (LLC) cells subcutaneously (s.c.) in D–/– and control D+/+ mice. Once the tumors were established, we isolated by fluorescence-activated cell sorting (FACS) tumor-associated macrophages (F4/80+ cells).

Publication Title

Suppression of microRNA activity amplifies IFN-γ-induced macrophage activation and promotes anti-tumour immunity.

Sample Metadata Fields

Specimen part, 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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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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