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accession-icon GSE7181
CD133+ and CD133- CSC lines in primary human GBM
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We cultured tumor cells from 22 GBM under medium conditions favoring the growth of neural stem cells. 11 out of 15 primary GBM contained a significant CD133+ subpopulation that comprised cells showing all hallmarks of neural stem cells. Cell lines derived from these CD133+ GBM showed a neurosphere-like, non-adherent growth pattern. In contrast, 4 out of 15 cell lines derived from primary GBM grew adherent in vitro and were driven by CD133- tumor cells that fulfilled stem cell criteria. In vivo, these GBM were characterized by a significantly lower proliferation index but similar GFAP staining as compared to CD133+ GBM. Gene arrays from 2x3 representative cells lines are given.

Publication Title

CD133(+) and CD133(-) glioblastoma-derived cancer stem cells show differential growth characteristics and molecular profiles.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE51305
Gene expression profiles of Sunitinib-treated but not untreated short-term serum-free cultures predict treatment response of human high-grade gliomas in vitro
  • organism-icon Homo sapiens
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

High-grade gliomas are amongst the most deadly human tumors. Treatment results are overall disappointing. Nevertheless, in several trials around 20% of patients respond to therapy. Diagnostic strategies to identify those patients that will ultimately profit from a specific targeted therapy are urgently needed. Gene expression profiling of untreated tumors is a well established approach for identifying biomarkers or diagnostic signatures. However, reliable signatures predicting treatment response in gliomas do not exist. Here we suggest a novel strategy for developing diagnostic signatures. We postulate that predictive gene expression patterns emerge only after tumor cells have been treated with the agent in vitro. Moreover, we postulate that enriching specimens for tumor initiating cells sharpens predictive expression patterns. Here, we report on the prediction of treatment response of cancer cells in vitro. As a proof of principle we analyzed gene expression in 18 short-term serum-free cultures of high-grade gliomas enhanced for brain tumor initiating cells (BTIC) before and after in vitro treatment with the tyrosine kinase inhibitor Sunitinib. Profiles from treated but not from untreated glioma cells allowed to predict therapy-induced impairment of proliferation of glioma cells in vitro. Prediction can be achieved with as little as 6 genes allowing for a straightforward translation into the clinic once the predictive power of the signature is shown also in vivo. Our strategy of using expression profiles from in vitro treated BTIC-enriched cultures opens new ways for trial design for patients with malignant gliomas.

Publication Title

Response-predictive gene expression profiling of glioma progenitor cells in vitro.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE42331
Gene expression data from whole blood of Klinefelter Syndrome patients compared to male and female controls
  • organism-icon Homo sapiens
  • sample-icon 64 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Patients with Klinefelter Syndrome have the karyotype 47,XXY. These men are suffering from hypergonadotropic hypogonadism and are infertile. It is debated whether the different hormonal constitution observed in these patients or different gene expression

Publication Title

Gene expression patterns in relation to the clinical phenotype in Klinefelter syndrome.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE9294
EOM and TA Sp cell comparison
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Using Affymetrix GeneChips, we analyzed expression profiles of SP cells from EOM and TA. 348 differentially expressed transcripts defined the EOM-SP transcriptome: 229 upregulated in EOM-SP and 119 in TA-SP.

Publication Title

Transcriptional and functional differences in stem cell populations isolated from extraocular and limb muscles.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE471
Expression profiling of extraocular muscles
  • organism-icon Rattus norvegicus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome U34 Array (rgu34a)

Description

The extraocular muscles (EOM) are anatomically and physiologically distinct from other skeletal muscles. EOM are preferentially affected in mitochondrial myopathies, but spared in Duchenne's muscular dystrophy. The anatomical and pathophysiological properties of EOM have been attributed to their unique molecular makeup: an allotype. We used expression profiling to define molecular features of the EOM allotype. We found 346 differentially expressed genes in rat EOM compared with tibialis anterior, based on a twofold difference cutoff. Genes required for efficient, fatigue-resistant, oxidative metabolism were increased in EOM, whereas genes for glycogen metabolism were decreased. EOM also showed increased expression of genes related to structural components of EOM such as vessels, nerves, mitochondria, and neuromuscular junctions. Additionally, genes related to specialized functional roles of EOM such as the embryonic and EOM-specific myosin heavy chains and genes for muscle growth, development, and/or regeneration were increased. The EOM expression profile was validated using biochemical, structural, and molecular methods. Characterization of the EOM expression profile begins to define gene transcription patterns associated with the unique anatomical, metabolic, and pathophysiological properties of EOM.

Publication Title

Expression profiling reveals metabolic and structural components of extraocular muscles.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE55389
Expression data from whole retina of 8-week old db/db diabetic mice and lean littermates
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Diabetic retinopathy is one of the leading causes of blindness in diabetic patients. Emerging evidence suggests that retinal neurodegeneration is an early event in the pathogenesis of diabetic retinopathy, but the underlying causes of neuronal loss are unknown.

Publication Title

The db/db mouse: a useful model for the study of diabetic retinal neurodegeneration.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE13344
Exon Array expression data from 13 areas of the late second trimester human brain
  • organism-icon Homo sapiens
  • sample-icon 186 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Tissue was microdissected from 13 regions, including 9 distinct neocortical areas, from both left and right sides of four late second trimester human brain specimens. Gene- and exon-level differential expression analyses were performed by mixed model, nested analysis of variance using the XRAY software from Biotique Systems. Further details available in Johnson, Kawasawa, et al., "Functional and Evolutionary Insights into Human Brain Development through Global Transcriptome Analysis" Neuron, Volume 62, Issue 4, 2009

Publication Title

Functional and evolutionary insights into human brain development through global transcriptome analysis.

Sample Metadata Fields

Age

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accession-icon GSE20214
Gene expression profiling of pancreatic islets in BioBreeding rats
  • organism-icon Rattus norvegicus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Like humans, the NOD mouse and other diabetes susceptible rat strains, T1D in BB rats is dependent on the major histocompatibility complex (MHC, insulin dependent diabetes mellitus locus 1, Iddm1) located on chromosome 20. In rats this is the HLA-DQB1 homologue RT1-B, specifically the RT1u haplotype. Our studies employ congenic derivatives of the BB rat, the DRlyp/lyp and DR+/+ strains, which differ only by the 2 Mb lyp (lymphopenia, Iddm2) region on chromosome 4. TID in the lymphopenic DRlyp/lyp rat is spontaneous and onset occurs in 100% of animals during adolescence (65.3+/-6.3 days) due to a recessive mutation within GIMAP5 (GTPase, IMAP family member 5). Gimap5 is a mitochondrial GTP-binding protein necessary for post-thymic T cell survival. The spontaneously diabetic phenotype observed in DRlyp/lyp rats is thought to be elicited through deficiency in CD4+CD25+ TREG cells as T1D in lymphopenic BB rats can be rescued through adoptive transfer of this population. Genetic variation in GIMAP5 has been associated with the development of protein-tyrosine phosphatase-2 (IA-2) autoantibodies in human T1D [28] and is significantly associated with systemic lupus erythematosus (SLE). The non-lymphopenic DR+/+ strain possesses wild-type GIMAP5 alleles and does not develop spontaneous T1D, however, T1D is inducible through administration of lymphotoxic anti-RT6 monoclonal antibody and immune activating polyinosinic polycytidylic acid (poly I:C; a ligand of toll-like receptor 3), or through viral depletion of CD4+CD25+ regulatory T (TREG) cells. Such treatments do not induce T1D in the related Wistar-Furth (WF) rats and suggest the presence of an underlying diabetic predisposition in BB rats that is phenotypically manifested upon loss of immune regulation.

Publication Title

Biobreeding rat islets exhibit reduced antioxidative defense and N-acetyl cysteine treatment delays type 1 diabetes.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE45169
Expression data of human coronary artery perivascular adipocytes and subcutaneous adipocytes
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Inflammatory crosstalk between perivascular adipose tissue and and blood vessel wall may contribute to atherosclerosis pathogenesis, and exhibits more pro-inflammatory than adipogenic phenotype than subcutaneous adipocytes.

Publication Title

Human coronary artery perivascular adipocytes overexpress genes responsible for regulating vascular morphology, inflammation, and hemostasis.

Sample Metadata Fields

Specimen part

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accession-icon GSE24995
Dendritic cell response to hypoxia and poly I:C
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Investigation whether hypoxic stabilization of HIF-1alpha quantitatively or qualitatively modifies the gene expression pattern induced by poly I:C, a TLR ligand that does not induce normoxic HIF-1alpha stabilization on its own (non-HIF-1alpha-stabilizing TLR ligand).

Publication Title

Toll-like receptor activation and hypoxia use distinct signaling pathways to stabilize hypoxia-inducible factor 1α (HIF1A) and result in differential HIF1A-dependent gene expression.

Sample Metadata Fields

No sample metadata fields

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)

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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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