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accession-icon GSE15119
Mammary tumors in transgenic mice expressing constitutively active and C-terminally truncated variants of STAT5
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Stat5 is a latent transcription factor that regulates essential growth and survival functions in normal cells. Constitutive activity of Stat5 and the involvement of its C-terminally truncated variant have been implicated in blood cell malignancies and mammary or breast cancer.

Publication Title

Forced activation of Stat5 subjects mammary epithelial cells to DNA damage and preferential induction of the cellular response mechanism during proliferation.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon SRP179098
Unravelling the mechanisms of PFOS toxicity by combining morphological and transcriptomic analyses in zebrafish embryos
  • organism-icon Danio rerio
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Purpose: the goal of this project is to study the effects of the PFOS (perfluorooctanesulfonate) in the transcriptome profiling (RNA-seq) of exposed zebrafish larvae. Methods: Total RNA was isolated from the samples using AllPrep DNA/RNA Mini Kit (Qiagen, CA, USA) as described by the manufacturer. Three high quality sample per condition were chosen to the mRNA enrichment using KAPA Stranded mRNA-Seq Kit Illumina® Platforms (Kapa Biosystems). Transcriptomic profiles were generated by deep sequencing using Illumina TruSeq SBS Kit v3-HS (pair-ended; 2x76bp) on a HiSeq2000 sequencing system. Image analysis, base calling and quality scoring of the run were processed using the manufacturer's software Real Time Analysis (RTA 1.13.48) and followed by generation of FASTQ sequence files by CASAVA. Statistical analysis: RNA-seq reads were aligned to the D. rerio reference genome (GRCz10) using STAR version 2.5.1b . Genes annotated in GRCz10.84 were quantified using RSEM version 1.2.28 with default parameters. Differential expression analysis between all PFOS conditions was performed with the DESeq2 (v.1.10.1) R package with the Likelihood ratio test option. ANOVA-PLS was performed on the normalized data using the lmdme package in R (v. 1.0.136, R Core Team). Results: We generated on average 39 million paired-end reads for each sample and identified aproximatelly 24500 transcripts. 1434 differentially expressed genes (DEGs) were detected which could be divided in 2 clusters including 767 and 667 genes, respectively. Affected metabolic pathways were analyzed from the DEGs: lipid transport and metabolism, protein ubiquination, antigen processing, immune system, apoptosis, trans-membrane, cell matrix, Zn-ion binding, cytokines and JAK-STAT signaling pathways', among others, were down or upregulated. Conclusions: Our results suggest a complex, multiple endocrine disruption-like toxic effects at a concentrations well bellow the 1 mg/L, considered as the LOAEC/NOAEC for many of the macroscopic effects traditionally linked to PFOS toxicity in zebrafish embryos. While our results confirm the known effect of PFOS in lipid metabolism, we found a clear decrease on expression of many genes related to natural immunity and defense against infections. We propose that this transcriptional pattern may be a marker for the immunotoxic effects of PFOS and other related substances in fish and other vertebrates, including humans. We concluded that our analysis allowed us the identification of underlying molecular mechanisms occurring simultaneously at the exposed animals. While this approach is very useful to analyze the effects of compounds, like PFOS, able to interact with different cellular targets, we believe that it can be also applied to the characterization of the different toxic components present in complex natural mixtures. Overall design: Whole embryo (5 dpf; wild type zebrafish) mRNA profiles of 4 groups (control, 0.03, 0.3 and 1 ppm of PFOS) were generated by deep sequencing, in triplicate, using Illumina TruSeq SBS Kit v3-HS (pair-ended) on a HiSeq2000 sequencing system.

Publication Title

Unravelling the mechanisms of PFOS toxicity by combining morphological and transcriptomic analyses in zebrafish embryos.

Sample Metadata Fields

Age, Subject

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accession-icon GSE103339
Gene expression profiling of skin melanophages and macrophages positive or negative for MHC class II expression
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The lack of mouse models permitting the specific ablation of tissue-resident macrophages and monocyte-derived cells complicates understanding of their contribution to tissue integrity and to immune responses. Here we use a new model permitting diphtheria-toxin (DT)-mediated depletion of those cells and in which dendritic cells are spared. We showed that the myeloid cells of the mouse ear skin dermis are dominated by a population of melanin-laden macrophages, called melanophages, that has been missed in most previous studies. By using gene expression profiling, DT-mediated ablation and parabiosis, we determined their identity including their similarity to other skin macrophages, their origin and their dynamics. Limited information exist on the identity of the skin cells responsible for long-term tattoo persistence. Benefiting of our knowledge on melanophages, we showed that they are responsible for retaining tattoo pigment particles through a dynamic process which characterization has direct implications for improving strategies aiming at removing tattoos.

Publication Title

Unveiling skin macrophage dynamics explains both tattoo persistence and strenuous removal.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE51001
PI3K inhibition synergizes with glucocorticoids but antagonizes with methotrexate in T-cell acute lymphoblastic leukemia.
  • organism-icon Homo sapiens
  • sample-icon 83 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

PI3K inhibition synergizes with glucocorticoids but antagonizes with methotrexate in T-cell acute lymphoblastic leukemia.

Sample Metadata Fields

Sex, Age, Specimen part, Cell line

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accession-icon GSE50999
Gene expression data of diagnostic childhood T-ALL samples
  • organism-icon Homo sapiens
  • sample-icon 43 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The PI3K pathway is frequently hyperactivated in primary T-cell acute lymphoblastic leukemia (T-ALL) cells. Activation of the PI3K pathway has been suggested as one mechanism of glucocorticoid resistance in T-ALL, and patients harboring mutations in the PI3K negative regulator PTEN may be at increased risk of induction failure and relapse. In this study, we identified Myc as an important downstream integrator of PI3K pathway activity in T-ALL and we provide data supportive of an association of higher PI3K activity with glucocorticoid resistance and worse clinical outcome. The PI3K inhibitor AS605240 showed anti-leukemic activity and strong synergism with glucocorticoids both in vitro and in a NOD/SCID xenograft model of T-ALL. In contrast, PI3K inhibition showed antagonism with methotrexate and daunorubicin, drugs that preferentially target dividing cells. This antagonistic interaction, however, could be circumvented by the use of correct drug scheduling schemes. Our data indicate the potential benefits and difficulties for the incorporation of PI3K inhibitors in T-ALL therapy.

Publication Title

PI3K inhibition synergizes with glucocorticoids but antagonizes with methotrexate in T-cell acute lymphoblastic leukemia.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE51000
Gene expression signature of primary T-ALL cells treated with the PI3K inhibitor AS605240
  • organism-icon Homo sapiens
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The PI3K pathway is frequently hyperactivated in primary T-cell acute lymphoblastic leukemia (T-ALL) cells. Activation of the PI3K pathway has been suggested as one mechanism of glucocorticoid resistance in T-ALL, and patients harboring mutations in the PI3K negative regulator PTEN may be at increased risk of induction failure and relapse. In this study, we identified Myc as an important downstream integrator of PI3K pathway activity in T-ALL and we provide data supportive of an association of higher PI3K activity with glucocorticoid resistance and worse clinical outcome. The PI3K inhibitor AS605240 showed anti-leukemic activity and strong synergism with glucocorticoids both in vitro and in a NOD/SCID xenograft model of T-ALL. In contrast, PI3K inhibition showed antagonism with methotrexate and daunorubicin, drugs that preferentially target dividing cells. This antagonistic interaction, however, could be circumvented by the use of correct drug scheduling schemes. Our data indicate the potential benefits and difficulties for the incorporation of PI3K inhibitors in T-ALL therapy.

Publication Title

PI3K inhibition synergizes with glucocorticoids but antagonizes with methotrexate in T-cell acute lymphoblastic leukemia.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE50998
Gene expression signature of T-ALL cell lines treated with the PI3K inhibitor AS605240
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The PI3K pathway is frequently hyperactivated in primary T-cell acute lymphoblastic leukemia (T-ALL) cells. Activation of the PI3K pathway has been suggested as one mechanism of glucocorticoid resistance in T-ALL, and patients harboring mutations in the PI3K negative regulator PTEN may be at increased risk of induction failure and relapse. In this study, we identified Myc as an important downstream integrator of PI3K pathway activity in T-ALL and we provide data supportive of an association of higher PI3K activity with glucocorticoid resistance and worse clinical outcome. The PI3K inhibitor AS605240 showed anti-leukemic activity and strong synergism with glucocorticoids both in vitro and in a NOD/SCID xenograft model of T-ALL. In contrast, PI3K inhibition showed antagonism with methotrexate and daunorubicin, drugs that preferentially target dividing cells. This antagonistic interaction, however, could be circumvented by the use of correct drug scheduling schemes. Our data indicate the potential benefits and difficulties for the incorporation of PI3K inhibitors in T-ALL therapy.

Publication Title

PI3K inhibition synergizes with glucocorticoids but antagonizes with methotrexate in T-cell acute lymphoblastic leukemia.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE478
Alveoli loss during caloric restriction time course
  • organism-icon Mus musculus
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

Pulmonary alveoli are complex architectural units thought to undergo endogenous or pharmacologically induced programs of regeneration and degeneration. To study the molecular mechanism of alveoli loss mice were calorie restricted at different timepoints. Lungs were harvested and processed for RNA extraction.

Publication Title

Calorie-related rapid onset of alveolar loss, regeneration, and changes in mouse lung gene expression.

Sample Metadata Fields

Time

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accession-icon SRP097631
Sub-populations in the mammary repopulating units
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Elucidating the top of the mammary epithelial cell hierarchy is highly important for understanding its regeneration capabilities and identifying target cells for transformation. Aiming for enriched mammary epithelial stem cell population, CD200highCD200R1high epithelial cells were identified. These cells represent ~50% of the mammary repopulating units (MRUs, CD49fhigh CD24med ) and termed MRUCD200/CD200R1. Gene expression of these cells was compared to all other MRU cells, termed MRUnot CD200/CD200R1, as well as individual CD200+ population (MRU-CD200R1-) and CD200R1+ population (MRU-CD200-). Overall design: Gene expression from mammary epithelial cells carrying sorted by CD200, CD200R1 markers and MRU markers. Four populations were sequenced: MRU-positive CD200 positive and CD200R1 positive; MRU-positive and not CD200 positive CD200R1 positive; not MRU CD200 positive CD200R1 negative; not MRU CD200 negative CD200R1 positive. There are 5 replicates from 5 individual mice.

Publication Title

High Expression of CD200 and CD200R1 Distinguishes Stem and Progenitor Cell Populations within Mammary Repopulating Units.

Sample Metadata Fields

Sex, Specimen part, Cell line, Subject

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accession-icon GSE37317
Gene expression profiling of 19 bladder cancers from the University of Virginia
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Given the heterogeneity of disease evident from study of the presentation, histomorphology, disease course, and molecular lesions of bladder cancer, a cohort of 8 non-muscle invasive and 11 muscle invasive bladder cancers were profiled for gene expression using the Affymetrix HG-U133A platform.

Publication Title

Transcriptional signatures of Ral GTPase are associated with aggressive clinicopathologic characteristics in human cancer.

Sample Metadata Fields

No sample metadata fields

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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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