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accession-icon GSE89565
Expression data from 12 BPDCN samples, 35 T-ALL samples, and 65 AML samples
  • organism-icon Homo sapiens
  • sample-icon 108 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Blastic plasmacytoid dendritic cell neoplasm (BPDCN) is an aggressive hematological. We used transcriptomic analysis to investigate LXR pathway, and cholesterol metabolism in leukemic cells. Malignancy with a poor prognosis that derives from plasmacytoid dendritic cells (PDC). No consensus for optimal treatment modalities is available today and the full characterization of this leukemia is still emerging. We identified here a BPDCN-specific transcriptomic profile when compared to those of acute myeloid leukemia (AML) and T-acute lymphoblastic leukemia (T-ALL), as well as the transcriptomic signature of primary PDC. This BPDCN gene signature identified a dysregulation of genes involved in cholesterol homeostasis, some of them being liver X receptor (LXR) target genes. LXR agonist treatment of primary BPDCN cells and BPDCN cell lines restored LXR target gene expression and increased cholesterol efflux via the upregulation of ATP Binding Cassette (ABC) transporters, ABCA1 and ABCG1. LXR agonist treatment was responsible for limiting BPDCN cell proliferation and inducing intrinsic apoptotic cell death. LXR activation in BPDCN cells was shown to interfere with three signaling pathways associated with leukemic cell survival, namely: NF-B activation, as well as Akt and STAT5 phosphorylation in response to the BPDCN growth/survival factor IL-3. These effects were increased by the stimulation of cholesterol efflux through a lipid acceptor, the apolipoprotein A1. In vivo experiments using a mouse model of BPDCN cell xenograft revealed a decrease of leukemic cell infiltration and BPDCN-induced cytopenia associated with an increased survival after LXR agonist treatment. This demonstrates that cholesterol homeostasis is modified in BPDCN and can be normalized by treatment with LXR agonists which can be proposed as a new therapeutic approach.

Publication Title

LXR agonist treatment of blastic plasmacytoid dendritic cell neoplasm restores cholesterol efflux and triggers apoptosis.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon SRP078441
RNA-seq of primary patient AML samples
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

The goals of this study are to compare transcriptome profiling (RNA-seq) of patients BM with or without ASXL2 mutations. Overall design: Patient bone marrow mRNA profiles with or without ASXL1/2 mutations were generated by deep sequencing

Publication Title

ASXL2 is essential for haematopoiesis and acts as a haploinsufficient tumour suppressor in leukemia.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE34885
Defective NK cells in AML patients at diagnosis are associated with blast transcriptional signatures of immune evasion
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Acute myeloid leukemia (AML) is a heterogeneous group of malignancies which may be sensitive to the natural killer (NK) cell anti-tumor response. However, NK cells are frequently defective in AML. Here, we found in an exploratory cohort (n = 46) that NK-cell status at diagnosis of AML separated patients in two groups with a different clinical outcome. Patients with a deficient NK-cell profile, including reduced expression of some activating NK receptors (e.g. DNAM-1, NKp46 and NKG2D) and decreased IFN-g production, had a significantly higher risk of relapse (P = 0.03) independently of cytogenetic classification in multivariate analysis. Patients with defective NK cells showed a profound gene expression decrease in AML blasts for cytokine and chemokine signaling (e.g. IL15, IFNGR1, IFNGR2, CXCR4), antigen processing (e.g. HLA-DRA, HLA-DRB1, CD74) and adhesion molecule pathways (e.g. PVR, ICAM1). A set of 388 leukemic classifier genes defined in the exploratory cohort was independently validated in a multicentric cohort of 194 AML patients. In total, these data evidenced the interplay between NK-cells and AML blasts at diagnosis allowing an immune-based stratification of AML patients independently of clinical classifications.

Publication Title

Defective NK Cells in Acute Myeloid Leukemia Patients at Diagnosis Are Associated with Blast Transcriptional Signatures of Immune Evasion.

Sample Metadata Fields

Disease, Subject

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accession-icon GSE50928
Defective NK cells in AML patients at diagnosis are associated with blast transcriptional signatures of immune evasion
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Acute myeloid leukemia (AML) is a heterogeneous group of malignancies which may be sensitive to the natural killer (NK) cell anti-tumor response. However, NK cells are frequently defective in AML. Here, we found in an exploratory cohort (n = 46) that NK-cell status at diagnosis of AML separated patients in two groups with a different clinical outcome. Patients with a deficient NK-cell profile, including reduced expression of some activating NK receptors (e.g. DNAM-1, NKp46 and NKG2D) and decreased IFN-g production, had a significantly higher risk of relapse (P = 0.03) independently of cytogenetic classification in multivariate analysis. Patients with defective NK cells showed a profound gene expression decrease in AML blasts for cytokine and chemokine signaling (e.g. IL15, IFNGR1, IFNGR2, CXCR4), antigen processing (e.g. HLA-DRA, HLA-DRB1, CD74) and adhesion molecule pathways (e.g. PVR, ICAM1). A set of 388 leukemic classifier genes defined in the exploratory cohort was independently validated in a multicentric cohort of 194 AML patients. In total, these data evidenced the interplay between NK-cells and AML blasts at diagnosis allowing an immune-based stratification of AML patients independently of clinical classifications.

Publication Title

Defective NK Cells in Acute Myeloid Leukemia Patients at Diagnosis Are Associated with Blast Transcriptional Signatures of Immune Evasion.

Sample Metadata Fields

Age, Disease, Disease stage

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accession-icon SRP078443
RNA-seq of Asxl2 KO LSK cells
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

The goals of this study are to compare transcriptome profiling (RNA-seq) of Asxl2 KO LSK cells to that of Asxl2 wild-type cells. We found substantial number of genes are differentially expressed in Asxl2 KO cells. Overall design: LSK mRNA profiles of Asxl2-/- mice and Asxl2wt/wt (WT) were generated by deep sequencing, in triplicate, using Illumina GAIIx.

Publication Title

ASXL2 is essential for haematopoiesis and acts as a haploinsufficient tumour suppressor in leukemia.

Sample Metadata Fields

Specimen part, Cell line, Subject, Compound

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accession-icon GSE25067
Gene expression in response to genetic and chemical perturbations of chromatin structure
  • organism-icon Arabidopsis thaliana
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Microarray expression profiling was used to identify genes expressed misexpressed in wild-type Arabidopsis seedlings treated with 5-aza-2 deoxyctidine (5AC) or trichostatin A (TSA), and in decrease in dna methylation1 (ddm1) mutant seedlings.

Publication Title

Changes in global gene expression in response to chemical and genetic perturbation of chromatin structure.

Sample Metadata Fields

Specimen part

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accession-icon SRP101737
Genome Scale Analysis of miRNA and mRNA regulation during preterm labor [whole blood]
  • organism-icon Homo sapiens
  • sample-icon 33 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

The goal of this study was to define relationships between peripheral blood miRNAs and mRNAs of women undergoing idiopathic preterm labor (PTL) and compare network level changes to control women that deliver at term.Using RNA Sequencing we have performed global miRNA and mRNA profiling in both monocytes and whole blood leukocytes of women who underwent PTL (N=15) matched to non-pathological controls (N=30) as a part of the Ontario Birth Study cohort. We have identified differentially expressed miRNAs, mRNAs and pathways associated with PTL. Intriguingly, we found perturbations in many cellular signaling pathways, particularly in interleukin signaling. We also predicted mRNA targets for specific miRNAs and used these predictions to build putative miRNA-mRNA networks. We identified 6 miRNAs significantly associated with PTL whose expression is negatively correlated with expression of 14 predicted mRNA targets that are also significantly associated with PTL. Overall design: miRNA and mRNA were quantified from whole blood and monocytes of women undergoing spontaneous preterm labor compared to nonlabor controls matched on gestational age

Publication Title

Comparative analysis of gene expression in maternal peripheral blood and monocytes during spontaneous preterm labor.

Sample Metadata Fields

Subject

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accession-icon GSE33588
Human-specific patterns of gene expression in the brain
  • organism-icon Macaca mulatta, Pan troglodytes, Homo sapiens
  • sample-icon 29 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

Divergent whole-genome methylation maps of human and chimpanzee brains reveal epigenetic basis of human regulatory evolution.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE33010
Human-specific patterns of gene expression in the brain (Arrays)
  • organism-icon Macaca mulatta, Pan troglodytes, Homo sapiens
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We identified human-specific gene expression patterns in the brain by comparing expression with chimpanzee and rhesus macaque

Publication Title

Divergent whole-genome methylation maps of human and chimpanzee brains reveal epigenetic basis of human regulatory evolution.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE97910
Epistatic interaction between the lipase-encoding genes Pnpla2 (ATGL) and Lipe (HSL) causes liposarcoma in mice
  • organism-icon Mus musculus
  • sample-icon 72 Downloadable Samples
  • Technology Badge IconIllumina MouseRef-8 v2.0 expression beadchip

Description

Liposarcoma is a poorly understood malignancy of fat cells. Lipolysis, a central pathway of adipose tissue metabolism, has been implicated in cancer. Here, we generated tissue-specific single- and combined knockout mice for the two major lipases ATGL and HSL. Notably, double knockout (DAKO) mice developed late onset liposarcoma with complete penetrance, while single knockout mice appeared normal. DAKO whole transcriptome profiles differed from those of single knockout mice, revealing an early-onset tissue-specific response that persisted until the late-onset development of liposarcoma. Cancer-associated markers Gpnmb and G0s2 were among the most highly dysregulated genes in DAKO mice and also in human liposarcomas, suggesting a potential role for these proteins as liposarcoma-specific biomarkers. Taken together, our results demonstrate a novel epistatic interaction linking lipolysis with cancer. DAKO mice provide a promising model for studying early premalignant changes that lead to late-onset disease.

Publication Title

Epistatic interaction between the lipase-encoding genes Pnpla2 and Lipe causes liposarcoma in mice.

Sample Metadata Fields

Age, Specimen part

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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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