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accession-icon GSE8166
Transcriptome Profile of the Vascular Endothelial Cell Response to Candida albicans
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

We perform microarray analysis of HUVECs upon stimulation with virulent wildtype C. albicans strain SC5314 or its efg1/efg1 cph1/cph1 hyphal-deficient derivative strain CAN34 to compare the gene expression profiles elicited from HUVECs in response to these strains. In addition, these responses are compared to that of TNF-alpha induced responses to determine which responses are Candida-specific.

Publication Title

Transcriptome profile of the vascular endothelial cell response to Candida albicans.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE33070
Adipose tissue gene expression associated with weight gain in kidney transplant recipients
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The aim of this study was to investigate the association of gene expression profiles in subcutaneous adipose tissue with percent of total body weight change in 26 kidney transplant recipients.

Publication Title

Expression levels of obesity-related genes are associated with weight change in kidney transplant recipients.

Sample Metadata Fields

Sex, Race

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accession-icon GSE62816
Transcriptional analysis of human cranial compartments with different embryonic origins
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Previous investigations suggest that the different embryonic origins of the calvarial tissues (neural crest or mesoderm) may account for the different molecular mechanisms underlying sutural development. The aim of this study was to evaluate the differences in the gene expression of human cranial tissues and assess the presence of an expression signature reflecting their embryonic origins. Using microarray technology, we investigated global gene expression of cells from the frontal and parietal bones and the metopic and sagittal intrasutural mesenchyme (ISM) of four human fetal calvaria.

Publication Title

Transcriptional analysis of human cranial compartments with different embryonic origins.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE148250
Expression data of TS cells with inactive MAP3K4 (TSKI4 cells) and TSKI4 cells re-expressing REL (TSKI4R cells)
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Trophoblast stem cells lack MAP3K4 activity (TSKI4 cells) switch from epithelial phenotype to intermediate phenotype. Loss of epithelial phenotype is due to the loss of CBP histone acetyltransferase activity and the gain of histone deacetylase HDAC6 expression and activity. In our work, we identify a small network of 183 genes whose expression is co-regulated by MAP3K4, CBP, and HDAC6. Further, we define the key role of one of these co-regulated genes, Rel, in inducing epithelial phenotype in intermediate TSKI4 cells.

Publication Title

Coordinated regulation of Rel expression by MAP3K4, CBP, and HDAC6 controls phenotypic switching.

Sample Metadata Fields

Specimen part

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accession-icon SRP073253
Transcriptomics of Kidney Cancer Samples
  • organism-icon Homo sapiens
  • sample-icon 37 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Transcriptomics of Kidney Cancer Samples.

Publication Title

Targeting renal cell carcinoma with a HIF-2 antagonist.

Sample Metadata Fields

Sex, Age, Specimen part, Disease

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accession-icon GSE63259
Comparison of gene expression in aorta and CD115+ isolated circulating cells from apoE-/- versus apoE-/-LTbR-/- mice
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Affymetrix Microarrays were used to analyse gene expression in aortas and circulating CD115+ cells of ApoE- and ApoE/Lymphotoxin beta receptor (LTbR)-double-deficent mice fed a Western diet from 8 to 12 weeks of age in order to identify regulated genes and pathways leading to reduced atherosclerosis in ApoE-/-/LTbR-/- mice compared to ApoE-/- littermate controls.

Publication Title

Deficiency in lymphotoxin β receptor protects from atherosclerosis in apoE-deficient mice.

Sample Metadata Fields

Sex, Age

View Samples
accession-icon GSE12972
Heterogeneous in vitro effects of doxorubicin on gene expression in primary human liposarcoma cultures
  • organism-icon Homo sapiens
  • sample-icon 38 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Doxorubicin is considered one of the most potent established chemotherapeutics in the treatment of liposarcoma; however, the response rates usually below 30%, are still disappointing. This study was performed to identify gene expression changes in liposarcoma after doxorubicin treatment. Cells of 19 primary human liposarcoma were harvested intraoperatively and brought into cell culture. Cells were incubated with doxorubicin for 24 h, RNA was isolated and differential gene expression was analysed by the microarray technique.

Publication Title

Heterogeneous in vitro effects of doxorubicin on gene expression in primary human liposarcoma cultures.

Sample Metadata Fields

Sex

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accession-icon SRP110609
RNA-sequencing analysis of response to P.falciparum infection in Fulani and Mossi ethnic groups, Burkina Faso
  • organism-icon Homo sapiens
  • sample-icon 57 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

The Fulani ethnic group is relatively protected from Plasmodium falciparum malaria, however a genetic basis for this is unknown. Therefore, we have performed a pilot study to examine global transcription and DNA methylation patterns in specific immune cell populations in the Fulani, compared to a sympatric ethnic group, the Mossi. When we compared uninfected and infected individuals in Fulani and Mossi, a strong transcriptional response was only detected in the monocyte fraction of Fulani, and this was not related to differences in DNA methylation. Overall design: RNA sequencing analysis of CD14+ (monocyte) and CD14- (predominantly lymphocyte), and DNA-methylation analysis of CD14+ (monocyte) fractions of PBMCs, from of Fulani and Mossi individuals, uninfected or infected with P.falciparum. This Series represents the RNA-Seq dataset.

Publication Title

Major transcriptional changes observed in the Fulani, an ethnic group less susceptible to malaria.

Sample Metadata Fields

Subject

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accession-icon GSE11184
Gamma-secretase inhibitors reverse glucocorticoid resistance in T-ALL
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Gamma-secretase inhibitors (GSIs), which block the activation of NOTCH receptors, are being tested in the treatment of T-cell acute lymphoblastic leukemia (T-ALL). Thus far, limited antileukemic cytotoxicity and severe gastrointestinal toxicity have restricted the clinical application of these targeted drugs. Here we show that combination therapy with GSIs plus glucocorticoids can improve the antileukemic effects of GSIs and reduce their gut toxicity in vivo. Inhibition of NOTCH1 signaling in glucocorticoid-resistant T-ALL restored glucocorticoid receptor auto-up-regulation and induced apoptotic cell death through induction of BIM expression. Additionally, cotreatment with glucocorticoids induced Ccnd2 upregulation in the gut which protected mice from the intestinal secretory metaplasia typically induced by loss of NOTCH signaling. These results support a role for glucocorticoids plus GSIs in the treatment of glucocorticoid-resistant T-ALL.

Publication Title

Gamma-secretase inhibitors reverse glucocorticoid resistance in T cell acute lymphoblastic leukemia.

Sample Metadata Fields

Specimen part

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accession-icon GSE7067
Synergistic interaction of gamma-secretase inhibitor therapy and glucocorticoids in T-ALL
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Glucocorticoids are an essential component of the treatment of lymphoid malignancies and resistance to glucocorticoid therapy constitutes a prominent clinical problem in relapsed and refractory lymphoblastic leukemias. Constitutively active NOTCH signaling is involved in the pathogenesis of over 50% of T-cell lymphoblastic leukemia (T-ALL) which harbor activating mutations in the NOTCH1 gene. Aberrant NOTCH1 signaling has been shown to protect normal thymocytes from glucocorticoid induced cell death. Here we analyzed the interaction of glucocorticoid therapy with inhibition of NOTCH signaling in the treatment of T-ALL. Gamma-secretase inhibitors (GSI), which block the activation of NOTCH receptors, amplified the transcriptional changes induced by glucocorticoid treatment, including glucocorticoid receptor autoinduction and restored sensitivity to dexamethasone in glucocorticoid-resistant T-ALL cells. Apoptosis induction upon inhibition of NOTCH signaling and activation of the glucocorticoid receptor was dependent on transcriptional upregulation of BIM and subsequent activation of the mitochondrial/intrinsic cell death pathway. Finally, we used a mouse xenograft model of T-ALL to demonstrate that combined treatment with dexamethasone and a GSI results in improved antileukemic effects in vivo. These studies provide insight in the mechanisms of glucocorticoid resistance and serve as rationale for the use of glucocorticoid and GSIs in combination in the treatment of T-ALL.

Publication Title

Gamma-secretase inhibitors reverse glucocorticoid resistance in T cell acute lymphoblastic leukemia.

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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