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accession-icon SRP067175
Transposon mutagenesis reveals fludarabine-resistance mechanisms in chronic lymphocytic leukemia
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIon Torrent Proton

Description

Purpose:To identify resistance mechanisms for the chemotherapeutic drug fludarabine in chronic lymphocytic leukemia (CLL), as innate and acquired resistance to fludarabine-based chemotherapy represents a major challenge for long-term disease control. Methods: We employed piggyBac transposon-mediated mutagenesis, combined with next-generation sequencing, to identify genes that confer resistance to fludarabine in a human CLL cell line. Results: RNA-seq profiling of fludarabine-resistant cells suggested deregulated MAPK signaling as involved in mediating drug resistance in CLL. Overall design: To address if the fludarabine-resistant HG3 cells were transcriptionally different at a global level compared to their parental cells, we performed RNA-sequencing of three pairs of HG3 pools

Publication Title

Transposon Mutagenesis Reveals Fludarabine Resistance Mechanisms in Chronic Lymphocytic Leukemia.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE9202
Expression data from mouse microvascular transcriptomes
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Little is known about the pan-microvascular transcriptome, particularly considering gene transcripts and their encoded proteins that can be considered as vascular-selective in their expression.

Publication Title

Identification of a core set of 58 gene transcripts with broad and specific expression in the microvasculature.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE19429
Expression data from bone marrow CD34+ cells of MDS patients and healthy controls
  • organism-icon Homo sapiens
  • sample-icon 200 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In order to gain insight into the molecular pathogenesis of the myelodysplastic syndromes (MDS), we performed global gene expression profiling and pathway analysis on the hematopoietic stem cells (HSC) of 183 MDS patients as compared with the HSC of 17 healthy controls. The most significantly deregulated pathways in MDS include interferon signaling, thrombopoietin signaling and the Wnt pathway. Among the most significantly deregulated gene pathways in early MDS are immunodeficiency, apoptosis and chemokine signaling, whereas advanced MDS is characterized by deregulation of DNA damage response and checkpoint pathways. We have identified distinct gene expression profiles and deregulated gene pathways in patients with del(5q), trisomy 8 or 7/del(7q). Patients with trisomy 8 are characterized by deregulation of pathways involved in the immune response, patients with 7/del(7q) by pathways involved in cell survival, whilst patients with del(5q) show deregulation of integrin signaling and cell cycle regulation pathways. This is the first study to determine deregulated gene pathways and ontology groups in the HSC of a large group of MDS patients. The deregulated pathways identified are likely to be critical to the MDS HSC phenotype and give new insights into the molecular pathogenesis of this disorder thereby providing new targets for therapeutic intervention.

Publication Title

Deregulated gene expression pathways in myelodysplastic syndrome hematopoietic stem cells.

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE58831
Gene expression data from bone marrow CD34+ cells of patients with myelodysplastic syndromes (MDS) and healthy controls
  • organism-icon Homo sapiens
  • sample-icon 168 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We aimed to determine the impact of the common mutations on the transcriptome in myelodysplastic syndromes (MDS). We linked genomic data with gene expression microarray data and we deconvoluted the expression of genes into contributions stemming from each genetic and cytogenetic alteration, providing insights into how driver mutations interfere with the transcriptomic state. We modelled the influence of mutations and expression changes on diagnostic clinical variables as well as survival.

Publication Title

Combining gene mutation with gene expression data improves outcome prediction in myelodysplastic syndromes.

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE69149
Histone gene regulation in normal and tumor cells
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.1 ST Array (hugene11st), Illumina Genome Analyzer IIx

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Genome-wide screen of cell-cycle regulators in normal and tumor cells identifies a differential response to nucleosome depletion.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE69148
Differential response of normal and tumor cells to nucleosome depletion
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx, Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

Gene-expression in siRNA treated U2OS and hTERT-RPE1 cells showed that CASP8AP2, NPAT and HINFP do not regulate expression of each other, and do not have any common target genes, except histones. Most histone genes are downregulated in U2OS cells following loss of CASP8AP2, NPAT or HINFP. In normal cells, highly-expressed histone genes were downregulated, albeit less than in tumor cells following loss of CASP8AP2. The p53 target genes were upregulated relatively late, clearly after the changes in expression of histone genes were observed.

Publication Title

Genome-wide screen of cell-cycle regulators in normal and tumor cells identifies a differential response to nucleosome depletion.

Sample Metadata Fields

Cell line

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accession-icon GSE34811
Gene expression profiling of myelin-phagocytosing macrophages
  • organism-icon Rattus norvegicus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Multiple sclerosis is a chronic, inflammatory, demyelinating disease of the central nervous system in which macrophages and microglia play a central role. During active multiple sclerosis foamy macrophages and microglia, containing degenerated myelin, are abundantly found in demyelinated areas. Recent studies have described an altered macrophage phenotype after myelin internalization. However, by which mechanisms myelin affects the phenotype of macrophages and how this phenotype can influence lesion progression is unclear.

Publication Title

Myelin-derived lipids modulate macrophage activity by liver X receptor activation.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon SRP098104
RNA sequencing of erythroid and granulomonocytic colonies differentiated from transduced bone marrow CD34+ cells expressing U2AF1 S34F mutation, U2AF1 wild-type or empty vector control
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Mutations of the splicing factor U2AF1 are frequent in the myeloid malignancy myelodysplastic syndromes (MDS) and in other cancers. Patients with MDS suffer from peripheral blood cytopenias, including anemia, and increasing bone marrow blasts. We investigated the impact of the common U2AF1 S34F mutation on cellular function and mRNA splicing in the main cell lineages affected in MDS. We demonstrated that U2AF1 S34F expression in human hematopoietic progenitors impairs erythroid differentiation, and skews granulomonocytic differentiation towards granulocytes. RNA-sequencing of erythroid and granulomonocytic colonies revealed that U2AF1 S34F induced a higher number of cassette exon splicing events in granulomonocytic than erythroid cells, and altered mRNA splicing of many transcripts (expressed in both cell types) in a lineage-specific manner. The introduction of isoform changes identified in the target genes H2AFY and STRAP into hematopoietic progenitors recapitulated phenotypes associated with U2AF1 S34F expression in erythroid and/or granulomonocytic cells, suggesting a causal link. Importantly, we provided evidence showing that isoform modulation of the U2AF1 S34F target genes H2AFY and STRAP rescues the erythroid differentiation defect in U2AF1 S34F MDS cells, raising the possibility of using splicing modulators therapeutically. These data have critical implications for understanding MDS phenotypic heterogeneity, and for the development of new targeted therapies. Overall design: RNA sequencing was performed to identify the aberrant splicing events associated with U2AF1 S34F mutation (n=3) compared to U2AF1 wild-type (n=3) and empty vector control (n=3) in BFU-E and CFU-G/M colonies respectively.

Publication Title

The U2AF1S34F mutation induces lineage-specific splicing alterations in myelodysplastic syndromes.

Sample Metadata Fields

Subject

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accession-icon GSE24451
Knockout of the Acyl CoA binding protein (ACBP) in mice - expression profile from the liver of 21 days old ACBP-/- and +/+ mice.
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The ACBP knockout were created by targeted disruption of the gene in mice. The expression profiling was performed on liver tissue from ACBP-/- (KO) and +/+ (WT) mice at the age of 21 days, which in our study is the time immediately before weaning. The mice used for this experiment were taken directly away from their mother. Thus, having free access to chow and breast milk until sacrificed at 8-11am

Publication Title

Disruption of the acyl-CoA-binding protein gene delays hepatic adaptation to metabolic changes at weaning.

Sample Metadata Fields

Specimen part

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accession-icon GSE92638
Effect of STAT3 Knockdown on Gene Level Expression Profiling of hepatic stellate LX-2 Cells in response to TGF-b treatment
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Transcriptome analysis of RNAs extracted from 2 hour-TGF-b-treated or untreated LX-2 cells with or without STAT3 knockdown

Publication Title

Transforming Growth Factor-β (TGF-β) Directly Activates the JAK1-STAT3 Axis to Induce Hepatic Fibrosis in Coordination with the SMAD Pathway.

Sample Metadata Fields

Treatment, Time

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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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