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accession-icon GSE73578
Anti-leukemic effects of glucocorticoids in childhood acute lymphoblastic leukemia: conserved transcriptional pathway to cell cycle arrest but not to cell death
  • organism-icon Homo sapiens
  • sample-icon 131 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Glucocorticoids (GCs) cause cell cycle arrest and cell death in malignant lymphoblasts and constitute a principal component in the treatment of childhood acute lymphoblastic leukemia (chALL). To address the molecular mechanism of the anti-leukemic GC effects, we performed microarray-based whole-genome expression profiling of lymphoblasts from 46 patients undergoing systemic GC mono-therapy and combined these data with clinical information (e.g., molecular genotype, reduction in peripheral blood lymphoblasts, GC bioactivity in the patient's blood) using differential gene expression with GO analyses, regression modeling correlating transcriptional with clinical response, and an iterative elastic net approach to address combinatorial effects of gene expression and regulation. Our analysis revealed that, although there are a number of common response genes, the transcriptional response to GC in vivo varies considerably in the different molecular subtypes of this disease. Regarding the anti-leukemic response, repression of mRNA for key regulators of G2/M transition was commonly observed in all subtypes whereas we failed to observe a common transcriptional control of apoptosis genes. Although sets of genes were identified which in combination appear to contribute to the apoptotic response, the data as a whole suggest that GC-induced cell death does not result from conserved transcriptional regulation of the apoptotic machinery itself but might rather result from a wide spread deregulation of gene expression.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Treatment

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accession-icon GSE2842
Additional systems to Prednisolone treated childhood ALL samples
  • organism-icon Homo sapiens
  • sample-icon 45 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Glucocorticoids (GC) are in most chemotherapy protocols for lymphoid malignancies, particularly childhood acute lymphoblastic leukaemia (ALL) for their ability to induce apoptosis in malignant blast. The underlying mechanism, however, has so far only been investigated in model systems. This study comprises Affymetrix hgu133 plus 2.0 analyses of

Publication Title

Identification of glucocorticoid-response genes in children with acute lymphoblastic leukemia.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE2677
Prednisolone treated childhood ALL samples
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Glucocorticoids (GC) are in most chemotherapy protocols for lymphoid malignancies, particularly childhood acute lymphoblastic leukaemia (ALL) for their ability to induce apoptosis in malignant blast. The underlying mechanism, however, has so far only been investigated in model systems. This study comprises Affymetrix hgu133 plus 2.0 analyses of

Publication Title

Identification of glucocorticoid-response genes in children with acute lymphoblastic leukemia.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE48680
Glucocorticoid effect on mRNA translation in childhood acute lymphoblastic leukemia
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [CDF: huex10stv2_67_020 (huex10st)

Description

Glucocorticoids (GCs) are a central component in treating childhood acute lymphoblastic leukemia (chALL). They mainly act via regulating gene transcription. However, control of mRNA translation by GC has never been assessed systematically. In our research, T- and precursor B-ALL cells were cultured with and without GC for 6 hours and subjected to translational profiling, a technique combining sucrose gradient fractionation and microarray analysis of mRNA in different fractions. Analysis of GC regulation in different pools revealed no significant differences in regulation of mRNA translation by GC, suggesting no evidence for translational regulation by GC.

Publication Title

Translational profiling in childhood acute lymphoblastic leukemia: no evidence for glucocorticoid regulation of mRNA translation.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE50936
SOCS2 expression correlates with tumor malignancy, exerts growth promoting effects and is enhanced by androgens in prostate cancer
  • organism-icon Homo sapiens
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Deregulation of cytokine- and growth factor signaling due to altered expression of endogenous regulators is well recognized in prostate and other cancers. Suppressor of cytokine signaling 2 (SOCS2) is a key regulator of growth hormone, IGF and prolactin signaling, that have been implicated in carcinogenesis. In this study we elucidate expression pattern and functional significance of SOCS2 in prostate cancer (PCa). Protein expression analysis employing tissue microarrays from two independent patient cohorts revealed significantly enhanced expression in tumor compared to benign tissue as well as association with Gleason score and disease progression. In vitro and in vivo assays uncovered the involvement of SOCS2 in the regulation of cell growth and apoptosis. Functionally, SOCS2 knockdown inhibited prostate cancer cell proliferation and xenograft growth in a CAM assay. Decreased cell growth after SOCS2 downregulation was associated with cell-cycle arrest and apoptosis. In addition, we prove for the first time that SOCS2 expression is significantly elevated upon androgenic stimulation in androgen receptor-positive cell lines, providing a possible mechanistic explanation for high SOCS2 levels in PCa tissue. Consequently, SOCS2 expression correlated with androgen receptor expression in malignant tissue of patients. Taken together, our study linked increased SOCS2 expression in PCa with a pro-proliferative role in vitro and in vivo.

Publication Title

SOCS2 correlates with malignancy and exerts growth-promoting effects in prostate cancer.

Sample Metadata Fields

Treatment, Time

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accession-icon GSE22152
Gene expression data of glucocorticoid resistant and sensitive acute lymphoblastic leukemia cell lines
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression data of glucocorticoid resistant and sensitive acute lymphoblastic leukemia cell lines for the article: Expression, regulation and function of phosphofructo-kinase/fructose-biphosphatases (PFKFBs) in glucocorticoid-induced apoptosis of acute lymphoblastic leukemia cells

Publication Title

Expression, regulation and function of phosphofructo-kinase/fructose-biphosphatases (PFKFBs) in glucocorticoid-induced apoptosis of acute lymphoblastic leukemia cells.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE55878
The synthetic glucocorticoids prednisolone and dexamethasone regulate the same genes in acute lymphoblastic leukemia cells
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

The synthetic glucocorticoids prednisolone and dexamethasone regulate the same genes in acute lymphoblastic leukemia cells.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE63693
Prostate Cancer Risk SNPs enriched in Androgen Receptor Binding Sites
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Genome-wide association studies (GWAS) have identified dozens of genomic loci, whose single nucleotide polymorphisms (SNPs) predispose to prostate cancer (PCa). However, the biological functions of these common genetic variants and the mechanisms to increase disease risk are largely unknown. We integrated chromatin-IP coupled sequencing (ChIP-seq) and microarray expression profiling in the TMPRSS2-ERG gene rearrangement positive DuCaP cell model with the NHGRI GWAS PCa risk SNPs catalog, in an attempt to identify disease susceptibility SNPs localized within functional androgen receptor binding sites (ARBSs). Among the 48 GWAS index SNPs and 2,702 linked SNPs defined by the 1000G project 104 were found to be localized in the AR ChIP-seq peaks. Of these risk SNPs, rs11891426 T/G in the 7th intron of its host gene melanophilin (MLPH) was found located within a putative auxiliary ARE motif, which we found enriched in the neighborhood of canonical ARE motifs. Exchange of T to G attenuated the transcriptional activity of the MLPH-ARBS in a reporter gene assay. The expression of MLPH protein in tissue samples from prostate cancer patients was significantly lower in those with the G compared to the T allele. Moreover, a significant positive correlation of AR and MLPH protein expression levels was also confirmed in tissue samples. These results unravel a hidden link between AR and a functional PCa risk SNP rs11891426, whose allele alteration affects androgen regulation of its host gene MLPH. This study shows the power of integrative studies to pin down functional risk SNPs and justifies further investigations.

Publication Title

Putative Prostate Cancer Risk SNP in an Androgen Receptor-Binding Site of the Melanophilin Gene Illustrates Enrichment of Risk SNPs in Androgen Receptor Target Sites.

Sample Metadata Fields

Cell line, Treatment, Time

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accession-icon GSE22779
Gene expression data of non-leukemic individuals before and during in-vivo glucocorticoid treatment
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Article title: Expression, regulation and function of phosphofructo-kinase/fructose-biphosphatases (PFKFBs) in glucocorticoid-induced apoptosis of acute lymphoblastic leukemia cells.

Publication Title

Expression, regulation and function of phosphofructo-kinase/fructose-biphosphatases (PFKFBs) in glucocorticoid-induced apoptosis of acute lymphoblastic leukemia cells.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Treatment, Subject

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accession-icon GSE78210
3D cultivation of NSCLC cell lines alters gene expression of key cancer-associated signalling pathways
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Background: The main focus of the work was the evaluation of gene expression differences between our established NSCLC 3D cell culture model and the 2D cell culture in regard to the use of our model for drug screening applications.

Publication Title

3D-cultivation of NSCLC cell lines induce gene expression alterations of key cancer-associated pathways and mimic <i>in-vivo</i> conditions.

Sample Metadata Fields

Cell line

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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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