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accession-icon GSE101855
IL-12 and type I IFN response of neonatal myeloid DC to human CMV infection
  • organism-icon Homo sapiens
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Transcriptional profiles of HCMV or Mock infected neonatal and adult were anayzed

Publication Title

IL-12 and type I IFN response of neonatal myeloid DC to human CMV infection.

Sample Metadata Fields

Specimen part, Time

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accession-icon GSE56960
Caloric-dose responsive genes in blood cells differentiate the metabolic status of obese men
  • organism-icon Homo sapiens
  • sample-icon 168 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

One current focus of nutrition research is the identification of biomarkers that reflect the impact of food on metabolic processes. As this approach mostly targets the prevention rather than the curing of diseases, novel biomarkers need to be identified. Those should be influenced by the diet already in healthy individuals and be nonetheless indicative, or even predictive, of the potential impact of specific food on the development of metabolic diseases such as obesity.

Publication Title

Caloric dose-responsive genes in blood cells differentiate the metabolic status of obese men.

Sample Metadata Fields

Specimen part

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accession-icon GSE114621
Exon level expression analysis from rhabdomyosarcoma patient tumors.
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Rhabdomyosarcoma is a childhood tumor with features of aberrant muscle differentiation. We studied samples from 101 rhabdomyosarcoma patients to determine core gene expression signatures relevant in the disease.

Publication Title

Integrative Bayesian Analysis Identifies Rhabdomyosarcoma Disease Genes.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE93376
Astrocytic calcium waves signal brain injury to neural stem and progenitor cells
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Gene expression patterns in the SVZ, 48 h after an ischemic lesion caused by permanent middle cerebral artery occlusion (MCAO)

Publication Title

Astrocytic Calcium Waves Signal Brain Injury to Neural Stem and Progenitor Cells.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE144248
Cholesterol homeostasis modulates platinum sensitivity in human ovarian cancer
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Here we show that platinum-resistant ovarian cancer cells also show reduced cholesterol biosynthesis, and mostly rely on uptake of exogenous cholesterol for their needs. Expression of FDPS and OSC, enzymes involved in cholesterol synthesis, are decreased both in drug-resistant cells and upon TRAP1 silencing, whereas the expression of LDL receptor, the main mediator of extracellular cholesterol uptake, is increased. Strikingly, treatment with different statins to inhibit cholesterol synthesis reduces cisplatin-induced apoptosis, whereas silencing of LIPG, an enzyme involved in lipid metabolism, increases sensitivity to the drug.

Publication Title

Cholesterol Homeostasis Modulates Platinum Sensitivity in Human Ovarian Cancer.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE78947
HCT116 gene expression analysis upon CAF stimulation
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.1 ST Array (hugene21st)

Description

HCT116 colon carcinoma cells invade more the basement membrane when carcinoma-associated fibroblasts (CAFs) are present. In order to identify if CAFs induce an invasive phenotype to HCT116 cells, and therefore regulate genes expression related to invasion, we compared gene expression of HCT116 cells cultured alone or in the presence of CAFs.

Publication Title

Cancer-associated fibroblasts induce metalloprotease-independent cancer cell invasion of the basement membrane.

Sample Metadata Fields

Disease, Cell line

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accession-icon GSE58697
Expression data from 128 Desmoids
  • organism-icon Homo sapiens
  • sample-icon 123 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

One of the main problems in managing desmoids tumors is their locoregional aggressiveness and their high ability to recur after initial treatment. In our work, with the goal to identify molecular markers that can predict Progression-Free Survival, gene-expression screening was conducted on 128 available independent untreated primary desmoid tumors using cDNA microarray. By analyzing expression profiles, we have identified, for the first time, a gene expression signature that is able to predict Progression-Free Survival. This molecular signature identified two groups with clearly distinct Progression-Free Survival in the two sets of subjects. Patients in good prognostic group had achieved a progression-free 2-year survival rate of 86% while patients in poor prognostic group had a progression-free 2-year survival rate of 44%.

Publication Title

Gene Expression Profiling of Desmoid Tumors by cDNA Microarrays and Correlation with Progression-Free Survival.

Sample Metadata Fields

Sex, Age, 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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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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