refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 29 results
Sort by

Filters

Technology

Platform

accession-icon GSE136276
The impact of p53 on aristolochic acid I-induced gene expression in vivo
  • organism-icon Mus musculus
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Clariom S Array (clariomsmouse)

Description

Exposure to aristolochic acid (AA) is linked to kidney disease and urothelial cancer in humans. The major carcinogenic component of the AA plant extract is aristolochic acid I (AAI). The transcription factor p53 acts as a tumour suppressor and is frequently mutated in AA-induced tumours. Using a mouse model, we previously showed that Trp53 genotype impacts on AAI-induced nephrotoxicity in vivo (i.e. p53 protects from AAI-induced renal proximal tubular injury), but the underlying mechanism(s) involved remain to be further explored. In the present study, we investigated the impact of p53 on AAI-induced gene expression in vivo by treating Trp53(+/+), Trp53(+/-) and Trp53(-/-) mice with 3.5 mg/kg body weight (bw) AAI daily for 6 days. The Clariom™ S Assay microarray was used to elucidate gene expression profiles in mouse kidneys after AAI treatment in order to identify potential mechanisms by which AAI drives renal injury in Trp53(-/-) kidneys. Principle component analysis and hierarchical clustering in Qlucore Omics Explorer showed that gene expression in AAI-exposed Trp53(+/+), Trp53(+/-) and Trp53(-/-) kidneys is treatment-dependent. However, gene expression profiles did not segregate in a clear-cut manner according to Trp53 genotype, hence further investigations were performed by pathway analysis with MetaCore™. Several pathways, such as those related to epithelial-to-mesenchymal transition, transcription of hypoxia-inducible factor 1 targets, renal injury and secretion of xenobiotics were significantly altered to varying degrees for AAI-exposed kidneys. The top ten up-regulated genes included cyclin-dependent kinase inhibitor 1a (Cdkn1a), a mediator of cell cycle arrest; and neutrophil gelatinase-associated lipocalin (Ngal), which has been shown to play a role in nephritis by promoting inflammation and apoptosis. Members of the solute carrier (Slc) family (i.e. Slc22a2, Slc22a6, Slc22a7, Slc22a8) were amongst the top ten down-regulated genes. Pathway analysis also identified genes that are uniquely affected by AAI treatment in Trp53(+/+), Trp53(+/-) and Trp53(-/-) kidneys. Apoptotic pathways were modulated in Trp53(+/+) kidneys; whereas oncogenic and pro-survival pathways were significantly altered for Trp53(+/-) and Trp53(-/-) kidneys, respectively. Microarray gene expression analysis identified significant toxicogenomic responses to AAI that give novel insights into its mechanism of nephrotoxicity. Alterations of biological processes by AAI in Trp53(+/+), Trp53(+/-) and Trp53(-/-) kidneys could explain the mechanisms by which p53 protects from or p53 loss drives AAI-induced renal injury in vivo.

Publication Title

The impact of p53 on aristolochic acid I-induced nephrotoxicity and DNA damage in vivo and in vitro.

Sample Metadata Fields

Sex, Specimen part, Treatment

View Samples
accession-icon GSE69346
An immediate transcriptional signature predicts response to the histone deacetylase inhibitor Givinostat in T acute lymphoblastic leukemia xenografts
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression analysis of three sets of patient-derived T-ALL xenografted murine lines treated or not treated with Givinostat, to investigate the immediate anti-leukemic effects after 6 hours of in vivo treatment with this histone deacetylase inhibitor.

Publication Title

An immediate transcriptional signature associated with response to the histone deacetylase inhibitor Givinostat in T acute lymphoblastic leukemia xenografts.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE3920
EC_interferon
  • organism-icon Homo sapiens
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

IFNs are highly pleiotropic cytokines also endowed with marked anti-angiogenic activity. In this study, the mRNA expression profiles of endothelial cells (EC) exposed in vitro to IFN-alpha, IFN-beta, or

Publication Title

Identification of genes selectively regulated by IFNs in endothelial cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE9481
Transcriptional signature of IFN-alfa in the side population of ovarian cancer cells
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The side population (SP), recently identified in several normal tissues and in a variety of tumors, may comprise cells endowed with stem cell features. In this study, we investigated the presence of SP in epithelial ovarian cancer (EOC) and found it in 4 out of 6 primary cultures from xenotransplants, as well as in 9 out of 25 clinical samples analyzed. SP cells from one xenograft bearing a large SP fraction were characterized in detail and they were capable of recreate the full repertoire of cancer cell populations observed in the parent tumor. Moreover, SP cells had higher proliferation rates, were much less apoptotic compared to non-SP cells, and generated tumors more rapidly than non-SP cells.

Publication Title

The side population of ovarian cancer cells is a primary target of IFN-alpha antitumor effects.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE25012
WNT pathway activation promotes phenotypic reprogramming of glioblastoma derived cells in zebrafish nervous system microenvironment
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

phenotypic reprogramming ability of teh zebtafish brain microenviroment on GBM derived cells controlled by the activation of endogenous Wnt pathway

Publication Title

Wnt activation promotes neuronal differentiation of glioblastoma.

Sample Metadata Fields

Specimen part, Time

View Samples
accession-icon GSE79110
Zinc finger protein 521 overexpression is a feature of MLL-rearranged acute myeloid leukemia and contributes to the maintenance of myeloid differentiation block
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

ZNF521 is a multiple zinc finger transcription factor previously identified because abundantly and selectively expressed in normal CD34+ hematopoietic stem and progenitor cells. From microarray datasets, aberrant expression of ZNF521 has been reported in both pediatric and adult acute myeloid leukemia (AML) patients with MLL gene rearrangements. However, a proper validation of microarray data is lacking, likewise ZNF521 contribution in MLL-rearranged AML is still uncertain. In this study, we show that ZNF521 is significantly upregulated in MLL translocated AML patients from a large pediatric cohort, regardless of the type of MLL translocations such as MLL-AF9, MLL-ENL, MLL-AF10 and MLL-AF6 fusion genes. Our in vitro functional studies demonstrate that ZNF521 play a critical role in the maintenance of the undifferentiated state of MLL-rearranged cells. Furthermore, analysis of the ZNF521 gene promoter region shows that ZNF521 is a direct downstream target of both MLL-AF9 and MLL-ENL fusion proteins. Gene expression profiling of MLL-AF9-rearranged THP-1 cells after depletion of ZNF521 reveals correlation with several expression signatures including stem cell-like and MLL fusion dependent programs. These data suggest that MLL fusion proteins activate ZNF521 expression to maintain the undifferentiated state and contribute to leukemogenesis.

Publication Title

ZNF521 sustains the differentiation block in MLL-rearranged acute myeloid leukemia.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE26158
Modulation of mRNA in human T-cell development
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Modulation of microRNA expression in human T-cell development: targeting of NOTCH3 by miR-150.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE26156
Modulation of mRNA in human T-cell development (expression)
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression of Double Positive, and Single Positive CD4+ human thymocytes

Publication Title

Modulation of microRNA expression in human T-cell development: targeting of NOTCH3 by miR-150.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE32215
Reversal of glucocorticoid resistance by AKT inhibition in T-ALL
  • organism-icon Homo sapiens
  • sample-icon 225 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Glucocorticoid resistance is a major driver of therapeutic failure in T-cell acute lymphoblastic leukemia (T-ALL). Here we used a systems biology approach, based on the reverse engineering of signaling regulatory networks, which identified the AKT1 kinase as a signaling factor driving glucocorticoid resistance in T-ALL. Indeed, activation of AKT1 in T-ALL lymphoblasts impairs glucocorticoid-induced apoptosis. Mechanistically, AKT1 directly phosphorylates the glucocorticoid receptor NR3C1 protein at position S134 and blocks glucocorticoid-induced NR3C1 translocation to the nucleus. Consistently, inhibition of AKT1 with MK-2206 increases the response of T-ALL cells to glucocorticoid therapy both in T-ALL cell lines and in primary patient samples thus effectively reversing glucocorticoid resistance in vitro and in vivo. These results warrant the clinical testing of ATK1 inhibitors and glucocorticoids, in combination, for the treatment of T-ALL.

Publication Title

Direct reversal of glucocorticoid resistance by AKT inhibition in acute lymphoblastic leukemia.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE41062
Expression of DND41 cell lines treated with 1M Dexamethasone for 24h after shPTEN infection
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Glucocorticoid resistance is a major driver of therapeutic failure in T-cell acute lymphoblastic leukemia (T-ALL). Here we identify the AKT1 kinase as a signaling factor driving glucocorticoid resistance in T-ALL. Mechanistically, AKT1 directly phosphorylates the glucocorticoid receptor NR3C1 protein and blocks glucocorticoid-induced NR3C1 transcription by inhibiting glucocorticoid-induced NT3C1 translocation to the nucleus. Consistently, pharmacologic inhibition of AKT1 increases the response of T-ALL cells to glucocorticoid therapy and effectively reverses glucocorticoid resistance in vitro and in vivo. These results warrant the clinical testing of AKT1 inhibitors and glucocorticoids in combination for the treatment of T-ALL.

Publication Title

Direct reversal of glucocorticoid resistance by AKT inhibition in acute lymphoblastic leukemia.

Sample Metadata Fields

Cell line

View Samples

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

Powered by Alex's Lemonade Stand Foundation

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.

BSD 3-Clause LicensePrivacyTerms of UseContact