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accession-icon SRP184487
Steroids originating from bacterial bile acid degradation affect Caenorhabditis elegans and indicate potential risks for the fauna of manured soils
  • organism-icon Caenorhabditis elegans
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Bile acids are steroid compounds from the digestive tracts of vertebrates that enter agricultural environments in unusual high amounts with manure. Bacteria degrading bile acids can readily be isolated from soils and waters including agricultural areas. Under laboratory conditions, these bacteria transiently release steroid compounds as degradation intermediates into the environment. These compounds include androstadienediones (ADDs), which are C19-steroids with potential hormonal effects. Experiments with Caenorhabditis elegans showed that ADDs derived from bacterial bile acid degradation had effects on its tactile response, reproduction rate, and developmental speed. Additional experiments with a deletion mutant as well as transcriptomic analyses revealed that these effects might be conveyed by the putative testosterone receptor NHR-69. Soil microcosms showed that the natural microflora of agricultural soil is readily induced for bile acid degradation accompanied by the transient release of steroid intermediates. Establishment of a model system with a Pseudomonas strain and C. elegans in sand microcosms indicated transient release of ADDs during the course of bile acid degradation and negative effects on the reproduction rate of the nematode. This proof-of-principle study points at bacterial degradation of manure-derived bile acids as a potential and so-far overlooked risk for invertebrates in agricultural soils. Overall design: Two strains (N2 Bristol variety; nhr-69 deletion mutant, nhr-69(ok1926) I); two experimental conditions (control/test conditions: without/with 5 µM of the ADD 7a-HADD); 2-3 biological replicates per experimental condition; four contrasts between test and control conditions or strains functionally analyzed. Please note that differential gene expression data calculated between samples, as indicated in the processed data file names, is provided as Series supplementary file.

Publication Title

Steroids originating from bacterial bile acid degradation affect Caenorhabditis elegans and indicate potential risks for the fauna of manured soils.

Sample Metadata Fields

Specimen part, Treatment, Subject

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accession-icon SRP044611
Identification of gene regulation patterns underlying both E2- and tamoxifen-stimulated cell growth through global gene expression profiling in breast cancer cells [MCF-7]
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerII

Description

A c-Src inhibitor blocks estrogen (E2)-induced stress and converts E2 responses from inducing apoptosis to growth stimulation in E2-deprived breast cancer cells. A reprogrammed cell line, MCF-7:PF, results with features of functional estrogen receptor (ER) and over-expression of insulin-like growth factor-1 receptor beta (IGF-1Rß). We addressed the question of whether the selective ER modulator 4-hydroxytamoxifen (4-OHT) could target ER to prevent E2-stimulated growth in MCF-7:PF cells. Selected expression of mRNA was measured through real-time RT-PCR. Global gene expression was analyzed by microarray and RNA-seq analysis. Unexpectedly, both 4-OHT and E2 stimulated cell growth in a concentration-dependent manner. Global gene expression analysis showed a remarkable overlap in genes regulated in the same direction by E2 and 4-OHT. Pathway enrichment analysis of the 280 genes commonly deregulated by 4-OHT and E2 revealed functions mainly related to membrane, cytoplasm, and metabolic processes. Further analysis of 98 up-regulated genes by both 4-OHT and E2 uncovered a significant enrichment in genes associated with membrane remodeling, cytoskeleton reorganization, cytoplasmic adapter proteins, cytoplasm organelles proteins, and related processes. 4-OHT was more potent than E2 to up-regulate some membrane remodeling molecules, such as EHD2, FHL2, HOMER3 and RHOF. In contrast, 4-OHT acted as an antagonist to inhibit expression of the majority of enriched membrane-associated genes in wild-type MCF-7 cells. Long-term selection pressure has changed the cell population responses to 4-OHT. Membrane-associated signaling is critical for 4-OHT-stimulated cell growth in MCF-7:PF cells. This study provides a rationale for the further investigation of targeted therapy for tamoxifen resistant patients. Overall design: Wild-type MCF-7 cells were treated with vehicle control (0.1% ethanol), E2 (10-9 mol/L) and 4-OHT (10-6 mol/L) respectively for 24 hours.

Publication Title

Identification of gene regulation patterns underlying both oestrogen- and tamoxifen-stimulated cell growth through global gene expression profiling in breast cancer cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE71319
Expression data of sorted GFP+ and tdTomato+ prostate tumor cells from Pten/Smad4/mTmG mice
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Single cells from Ptenpc-/-Smad4pc-/-mTmG+ prostate tumors were isolated into single cells which were FACS-sorted for GFP+ and Tomato+ cells and RNA was purified with TRIzol (Life Technologies).

Publication Title

Targeting YAP-Dependent MDSC Infiltration Impairs Tumor Progression.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP027383
Whole transcriptome sequencing in 274 glioma patients reveals gene fusion profiling and novel candidate fusion genes
  • organism-icon Homo sapiens
  • sample-icon 270 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We detected fusion genes in 274 fresh surgical samples of gliomas using whole transcriptome sequencing. Using this approach we screened a panel of glioma samples and identified a number of activating novel fusion transcripts. Overall design: Fusion detection in 274 glioma patients

Publication Title

RNA-seq of 272 gliomas revealed a novel, recurrent PTPRZ1-MET fusion transcript in secondary glioblastomas.

Sample Metadata Fields

Subject

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accession-icon GSE66708
NALP3 inflammasome up-regulation and CASP1 cleavage of the glucocorticoid receptor causes glucocorticoid resistance in leukemia cells
  • organism-icon Homo sapiens
  • sample-icon 744 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene Expression Array (primeview), Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2), Affymetrix Human Genome U133A Array (hgu133a)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

NALP3 inflammasome upregulation and CASP1 cleavage of the glucocorticoid receptor cause glucocorticoid resistance in leukemia cells.

Sample Metadata Fields

Disease, Cell line, Treatment

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accession-icon GSE66702
NALP3 inflammasome up-regulation and CASP1 cleavage of the glucocorticoid receptor causes glucocorticoid resistance in leukemia cells [HG-U133A]
  • organism-icon Homo sapiens
  • sample-icon 253 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Glucocorticoids are universally used in the treatment of acute lymphoblastic leukemia (ALL), and glucocorticoid resistance in leukemia cells confers a poor prognosis. To elucidate mechanisms of glucocorticoid resistance, we determined the prednisolone sensitivity of primary leukemia cells from 444 newly diagnosed ALL patients and found significantly higher expression of caspase 1 (CASP1) and its activator NLRP3 in glucocorticoid resistant leukemia cells, due to significantly lower somatic methylation of CASP1 and NLRP3 promoters. Over-expression of CASP1 resulted in cleavage of the glucocorticoid receptor, diminished glucocorticoid-induced transcriptional response and increased glucocorticoid resistance. Knockdown or inhibition of CASP1 significantly increased glucocorticoid receptor levels and mitigated glucocorticoid resistance in CASP1 overexpressing ALL. Our findings establish a new mechanism by which the NLRP3/CASP1 inflammasome modulates cellular levels of the glucocorticoid receptor and diminishes cell sensitivity to glucocorticoids. The broad impact on glucocorticoid transcriptional response suggests this mechanism could also modify glucocorticoid effects in other diseases.

Publication Title

NALP3 inflammasome upregulation and CASP1 cleavage of the glucocorticoid receptor cause glucocorticoid resistance in leukemia cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE66705
NALP3 inflammasome up-regulation and CASP1 cleavage of the glucocorticoid receptor causes glucocorticoid resistance in leukemia cells [HG-U133_Plus_2]
  • organism-icon Homo sapiens
  • sample-icon 166 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2), Affymetrix Human Genome U133A Array (hgu133a)

Description

Glucocorticoids are universally used in the treatment of acute lymphoblastic leukemia (ALL), and glucocorticoid resistance in leukemia cells confers a poor prognosis. To elucidate mechanisms of glucocorticoid resistance, we determined the prednisolone sensitivity of primary leukemia cells from 444 newly diagnosed ALL patients and found significantly higher expression of caspase 1 (CASP1) and its activator NLRP3 in glucocorticoid resistant leukemia cells, due to significantly lower somatic methylation of CASP1 and NLRP3 promoters. Over-expression of CASP1 resulted in cleavage of the glucocorticoid receptor, diminished glucocorticoid-induced transcriptional response and increased glucocorticoid resistance. Knockdown or inhibition of CASP1 significantly increased glucocorticoid receptor levels and mitigated glucocorticoid resistance in CASP1 overexpressing ALL. Our findings establish a new mechanism by which the NLRP3/CASP1 inflammasome modulates cellular levels of the glucocorticoid receptor and diminishes cell sensitivity to glucocorticoids. The broad impact on glucocorticoid transcriptional response suggests this mechanism could also modify glucocorticoid effects in other diseases.

Publication Title

NALP3 inflammasome upregulation and CASP1 cleavage of the glucocorticoid receptor cause glucocorticoid resistance in leukemia cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE67045
NALP3 inflammasome up-regulation and CASP1 cleavage of the glucocorticoid receptor causes glucocorticoid resistance in leukemia cells [HG-U133A]
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Glucocorticoids are universally used in the treatment of acute lymphoblastic leukemia (ALL), and glucocorticoid resistance in leukemia cells confers a poor prognosis. To elucidate mechanisms of glucocorticoid resistance, we determined the prednisolone sensitivity of primary leukemia cells from 444 newly diagnosed ALL patients and found significantly higher expression of caspase 1 (CASP1) and its activator NLRP3 in glucocorticoid resistant leukemia cells, due to significantly lower somatic methylation of CASP1 and NLRP3 promoters. Over-expression of CASP1 resulted in cleavage of the glucocorticoid receptor, diminished glucocorticoid-induced transcriptional response and increased glucocorticoid resistance. Knockdown or inhibition of CASP1 significantly increased glucocorticoid receptor levels and mitigated glucocorticoid resistance in CASP1 overexpressing ALL. Our findings establish a new mechanism by which the NLRP3/CASP1 inflammasome modulates cellular levels of the glucocorticoid receptor and diminishes cell sensitivity to glucocorticoids. The broad impact on glucocorticoid transcriptional response suggests this mechanism could also modify glucocorticoid effects in other diseases.

Publication Title

NALP3 inflammasome upregulation and CASP1 cleavage of the glucocorticoid receptor cause glucocorticoid resistance in leukemia cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE53482
Integrative Analysis of Gene and miRNA expression profiles in Primary Myelofibrosis CD34+ cells
  • organism-icon Homo sapiens
  • sample-icon 146 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

Ph-negative myeloproliferative neoplasms (MPNs) are characterized by many somatic mutations which have already been shown useful in the prognostic assessment of MPN patients. Moreover, aberrant microRNA (miRNA) expression seems to add to the molecular complexity of MPNs, as specific miRNA signatures capable of discriminating MPN cells from those of normal donors were previously reported. In order to have a comprehensive picture of miRNA deregulation and its relationship with differential gene expression in primary myelofibrosis (PMF) cells, we obtained gene- (GEP) and miRNA expression profiles (miEP) of CD34+ cells from 31 healthy donors and 42 PMF patients using Affymetrix technology (HG-U219 and miRNA 2.0 arrays). Differentially expressed genes (DEG) and miRNAs (DEM) were sorted out by means of Partek Genomic Suite vs 6.6. Since each miRNA can target many mRNAs while a single mRNA can be targeted by multiple miRNAs, we performed Integrative Analysis (IA) by means of Ingenuity Pathway Analysis (IPA) to untangle this combinatorial complexity. In particular, IPA points out DEM-DEG pairs among experimentally validated interactions from TarBase, miRecords and Ingenuity Expert Findings as well as predicted microRNA-mRNA interactions from TargetScan. IPA microRNA Target Filter was then employed to select only the DEM-DEG pairs showing an anti-correlated expression pattern and to build regulatory networks. Finally, 3'UTR luciferase reporter assays were performed to validate IPA predicted miRNA-mRNA interactions.

Publication Title

miRNA-mRNA integrative analysis in primary myelofibrosis CD34+ cells: role of miR-155/JARID2 axis in abnormal megakaryopoiesis.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE52921
Gene expression profile (GEP) of siRNA-JARID2 CD34+ cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

JARID2 is a chromatin remodeler, member of the Jumonji family of transcription factor genes that belongs to the polycomb repressive complex 2 (PRC2) (Peng JC et al. Cell 2009) and is frequently deleted in leukemic transformation of chronic myeloid malignancies (Puda A et al. Am J Hematol. 2012). In this work, we compared gene expression profile (GEP) of CD34+ cells from Primary Myelofibrosis (PMF) patients with healthy donors and we found JARID2 among downregulated genes. In addition, integrative analysis of gene and miRNA profiles highlighted JARID2 as a shared target of several miRNAs aberrantly expressed in PMF CD34+ cells. Since the role of JARID2 in normal and malignant hematopoiesis has never been investigated, we performed JARID2 silencing experiments on normal Cord Blood (CB) CD34+ cells to evaluate its involvement in proliferation and commitment. Therefore, CD34+ cells were transfected with a mixture of 3 Silencer Select siRNAs targeting JARID2 mRNA and with a non-targeting siRNA as control (NegCTR). The expression level of JARID2 in control samples and JARID2-siRNA cells was assessed by QRT-PCR at 24h (RQ 0,2 SEM 0,036, p <.001) and 48h (RQ 0,32 SEM 0,026, p<.001) after the last nucleofection.

Publication Title

miRNA-mRNA integrative analysis in primary myelofibrosis CD34+ cells: role of miR-155/JARID2 axis in abnormal megakaryopoiesis.

Sample Metadata Fields

Specimen part, Treatment

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)

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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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