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accession-icon GSE103935
A bright side of Zika: potent and selective oncolytic properties against aggressive human CNS embryonal tumors
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Zika virus (ZIKV) is largely known for causing brain abnormalities due to its ability to infect neural progenitor stem cells (NPC) during early development. Here we show that ZIKV is also capable of infecting and destroying stem-like cancer cells from aggressive human embryonal tumors of the central nervous system (CNS). When evaluating the oncolytic properties of Brazilian Zika virus strain (ZIKVBR) against human breast, prostate, colorectal and embryonal CNS tumor cell lines, a selective infection of CNS tumor cells, followed by a massive necrotic tumor cell death, was verified. Notably, ZIKVBR was more efficient in destroying CNS tumorspheres than normal stem cell neurospheres. A single intracerebroventricular injection of ZIKVBR in BALB/c nude mice bearing orthotopic human embryonal CNS tumor xenografts resulted in a significantly longer survival, reduced tumor burden, fewer metastasis and complete remission in some animals. Tumor cells closely resembling neural stem cells at the molecular level were more susceptible to ZIKVBR oncolytic effects. Altogether, these preclinical findings indicate that ZIKV could be an efficient oncolytic agent to treat aggressive forms of embryonal CNS tumors. Considering the poor effectiveness and severe side effects of available treatments for these tumors and that most ZIKV infections are asymptomatic, our findings open new avenues for novel therapies.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE38749
Expression data of Human Gastric Adenocarcinoma
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Anatomical staging is a critical, although imperfect, instrument to assess gastric cancer prognosis and define indication for surgery and adjuvant therapy. Despite recent advances, treatment results, as a whole, remain less than satisfactory. Thus, biomarkers are sorely needed to improve risk categorization and define new molecular targets for therapy.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE72755
Toxicogenomics on mice liver of coumarins from Calophyllum brasiliense
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

A toxicogenomic analysis from liver of different pharmacological active coumarins (mammea A/BA+A/BB 3:1 and soulatrolide ) was performed on mice treated (20mg/kg/daily) for a whole week to evaluate if such compounds possess or could develop a hazardous profile on liver.

Publication Title

Toxicogenomic analysis of pharmacological active coumarins isolated from Calophyllum brasiliense.

Sample Metadata Fields

Sex, Specimen part, Treatment

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accession-icon GSE45044
Age-mediated transcriptomic changes in adult mouse brain ventral tegmental area
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Substantia nigra pars compacta (SNpc) is highly sensitive to normal aging and selectively degenerates in Parkinson's disease. However, ventral tegmental area (VTA), a region adjacent to SNpc, is less affected in PD. Until now, molecular mechanisms behind VTA aging have not been fully investigated using high throughput techniques.

Publication Title

Age-mediated transcriptomic changes in adult mouse substantia nigra.

Sample Metadata Fields

Specimen part

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accession-icon GSE45043
Age-mediated transcriptomic changes in adult mouse substantia nigra
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Substantia nigra pars compacta (SNpc) is highly sensitive to normal aging and selectively degenerates in Parkinson's disease. Until now, molecular mechanisms behind SNpc aging have not been fully investigated using high throughput techniques.

Publication Title

Age-mediated transcriptomic changes in adult mouse substantia nigra.

Sample Metadata Fields

Specimen part

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accession-icon GSE45045
Age-mediated transcriptomic changes in adult mouse substantia nigra and ventral tegmental area
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Age-mediated transcriptomic changes in adult mouse substantia nigra.

Sample Metadata Fields

Specimen part

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accession-icon GSE35471
Expression data from L3 Drosophila antennal-eyediscs
  • organism-icon Drosophila melanogaster
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

Growth of the drosophila eye imaginal discs is controlled by the activation of Notch in the dorsal-ventral boundary. Overexpression in the eye disc of the Notch ligand Delta together with lola and pipsqueak from the GS(2)88A8 line induces tumoral growth. We used microarray to analyze the expression profile of tumoral discs.

Publication Title

Imaginal discs secrete insulin-like peptide 8 to mediate plasticity of growth and maturation.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE22255
Blood genomic expression profile for ischemic stroke (IS)
  • organism-icon Homo sapiens
  • sample-icon 39 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Stroke is a brain attack cutting off vital blood, and consequently the nutrients and oxygen vital to the brain cells that control everything we do. Stroke is a complex disease with unclear pathogenesis resulting from environmental and genetic factors.

Publication Title

TTC7B emerges as a novel risk factor for ischemic stroke through the convergence of several genome-wide approaches.

Sample Metadata Fields

Sex

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accession-icon GSE58837
Expression data from breast cancer tumors treated with a single window of the antiangiogenic agent Sunitinib
  • organism-icon Homo sapiens
  • sample-icon 31 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We have witnessed the rise and fall of antiangiogenic therapy in breast cancer (BC). Nevertheless, clinical remissions were observed in patients and we were interested in studying the activity of antiangiogenic drugs in BC. Inefficacy of sunitinib was observed in mouse models of metastatic BC, where evidence of enhanced metastasis was reported, and lack of efficacy of sunitinib-docetaxel combination was recently reported in a phase III clinical trial. Our aim was to understand the mechanisms and predictors of response to sunitinib in BC in a cohort of patients with untreated locally advanced or operable BC treated with an upfront window of single agent sunitinib, followed by the combination of sunitinib and docetaxel.

Publication Title

No associated publication

Sample Metadata Fields

Age, Disease, Disease stage, Treatment, Subject, Time

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accession-icon GSE17114
Blood genomic expression profile for Behets disease.
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Behets disease (BD) is a multisystemic immuno-inflammatory disorder characterized by a generalized vasculitis, particularly at the orogenital mucosa and eye. It is a complex disease with unclear pathogenesis.

Publication Title

No associated publication

Sample Metadata Fields

Sex

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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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