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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

View Samples
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 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 E-MEXP-1269
Transcription profiling by array of three human multiple myeloma cell lines treated with 5-aza-2-deoxycytidine and/or trichostatin A
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

To identify epigenetically silenced genes in multiple myeloma (MM) cell lines and to determine the effects of 5-aza-2-deoxycytidine and trichostatin A on gene expression. We treated 3 multiple myeloma cell lines (MM1, NCI-H929, U266) with 5-aza-2-deoxycytidine and/or trichostatin A.

Publication Title

Genome-wide transcriptional response to 5-aza-2'-deoxycytidine and trichostatin a in multiple myeloma cells.

Sample Metadata Fields

Specimen part, Disease, Cell line

View Samples
accession-icon GSE41410
Co-expression of genes with ERG in prostate cancers and cell lines
  • organism-icon Homo sapiens
  • sample-icon 65 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Identification of TDRD1 as a direct target gene of ERG in primary prostate cancer.

Sample Metadata Fields

Cell line

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accession-icon GSE41408
Co-expression of genes with ERG in prostate cancers
  • organism-icon Homo sapiens
  • sample-icon 48 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

ERG overexpression is the most frequent molecular alteration in prostate cancer. We analyzed different stages of prostate cancer to identify genes that were coexpressed with ERG overexpression. In primary prostate tumors, it was shown that TDRD1 expression was the strongest correlated gene with ERG overexpression and we suggest TDRD1 as a direct ERG target gene.

Publication Title

Identification of TDRD1 as a direct target gene of ERG in primary prostate cancer.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE41407
Co-expression of genes with ERG in prostate cancer cell lines
  • organism-icon Homo sapiens
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

ERG overexpression is the most frequent molecular alteration in prostate cancer. We analyzed different stages of prostate cancer to identify genes that were coexpressed with ERG overexpression. In primary prostate tumors, it was shown that TDRD1 expression was the strongest correlated gene with ERG overexpression and we suggest TDRD1 as a direct ERG target gene.

Publication Title

Identification of TDRD1 as a direct target gene of ERG in primary prostate cancer.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE27505
Prospective Identification, Isolation, and Profiling of a Telomerase-Expressing Subpopulation of Human Neural Stem Cells, using sox2 Enhancer-Directed Fluorescence-Activated Cell Sorting
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Sox2 is expressed by neural stem and progenitor cells, and a sox2 enhancer identifies these cells in the forebrains of both fetal and adult transgenic mouse reporters. We found that an adenovirus encoding EGFP placed under the regulatory control of a 0.4 kb sox2 core enhancer selectively identified multipotential and self-renewing neural progenitor cells in dissociates of human fetal forebrain. Gene expression analysis of E/sox2:EGFP-sorted neural progenitor cells, normalized to the unsorted forebrain dissociates from which they derived, revealed marked overexpression of genes within the notch and wnt pathways, and identified multiple elements of each pathway that appear selective to human neural progenitors.

Publication Title

Prospective identification, isolation, and profiling of a telomerase-expressing subpopulation of human neural stem cells, using sox2 enhancer-directed fluorescence-activated cell sorting.

Sample Metadata Fields

Specimen part

View Samples
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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)

fund-icon Fund the CCDL

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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