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accession-icon SRP093784
RNAseq analysis of AML cells upon lncRNA knockdown
  • organism-icon Mus musculus
  • sample-icon 84 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

It is well understood how proteins regulate cell fate, both in normal development and disease. However, a substantial fraction of the genome is transcribed in a cell type- specific manner, producing long non-coding RNAs (lncRNA) rather than protein- coding transcripts. Here we systematically characterize transcriptional dynamics (both mRNA and lncRNA) during hematopoiesis and in hematological malignancies. We present de novo assembled transcriptome models and expression values for hematopoietic lncRNAs. We found lncRNAs to be regulated during differentiation and misregulated in disease. We assessed lncRNA function via an in vivo RNAi screen in a model of acute myeloid leukemia. With this approach, we identified several lncRNAs essential for leukemia maintenance, and found that a number act by promoting leukemia stem cell signatures. Leukemia blasts show a myeloid differentiation phenotype when these lncRNAs were depleted, and our data indicates that this effect is mediated via effects on the c-MYC oncogene. Overall design: Transcriptome analysis was performed on cells expressing inducible shRNAs against the candidate lncRNAs. 9 different lncRNAs were knocked down with two different hairpins, in biological duplicates (clonar line A and B). Renilla lucifearase knockdown and Myc knocdown were also included as controls (3 biological replicates each).

Publication Title

lncRNA requirements for mouse acute myeloid leukemia and normal differentiation.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE8513
Eradication of Solid Human Tumors in Nude Mice with an Intravenously Injected Light-Emitting Oncolytic Vaccinia Virus
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Previously we reported that a recombinant vaccinia virus (VACV) carrying a light-emitting fusion gene enters, replicates in, and reveals the locations of tumors in mice. A new recombinant VACV, GLV-1h68, as a simultaneous diagnostic and therapeutic agent, was constructed by inserting three expression cassettes (encoding Renilla luciferase-green fluorescent protein (RUC-GFP) fusion, b-galactosidase, and b-glucuronidase) into the F14.5L, J2R (encoding thymidine kinase, TK), and A56R (encoding hemagglutinin, HA) loci of the viral genome, respectively. Intravenous (i.v.) injections of GLV-1h68 (1 107 pfu/mouse) into nude mice with established (500 mm3) subcutaneous (s.c.) GI-101A human breast tumors were used to evaluate its toxicity, tumor targeting specificity and oncolytic efficacy. GLV-1h68 demonstrated an enhanced tumor targeting specificity and much reduced toxicity compared to its parental LIVP strains. The tumors colonized by GLV-1h68 exhibited growth, inhibition, and regression phases followed by tumor eradication within 130 days in 95% of the mice tested. Tumor regression in live animals was monitored in real time based on decreasing light emission, hence demonstrating the concept of a combined oncolytic virus-mediated tumor diagnosis and therapy system. Transcriptional profiling of regressing tumors based on a mouse-specific platform revealed gene expression signatures consistent with immune defense activation, inclusive of interferon stimulated genes (STAT-1 and IRF-7), cytokines, chemokines and innate immune effector function. These findings suggest that immune activation may combine with viral oncolysis to induce tumor eradication in this model, providing a novel perspective for the design of oncolytic viral therapies for human cancers.

Publication Title

Eradication of solid human breast tumors in nude mice with an intravenously injected light-emitting oncolytic vaccinia virus.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE24869
Cooperative and redundant signaling of leukotriene B4 and leukotriene D4 in human monocytes
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

LTB4, 50 nmol/L for 30 minutes, induced expression of 27 genes in cultured human elutriated monocytes comparred to vehicle (ethanol) treated control cells.

Publication Title

Cooperative and redundant signaling of leukotriene B4 and leukotriene D4 in human monocytes.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE154916
Transcriptome Assessment of Erythema Migrans Skin Lesions
  • organism-icon Homo sapiens
  • sample-icon 45 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene arrays were used to characterize the global transcriptional alterations in skin biopsy samples of EM lesions in comparison to controls. The transcriptional pattern in EM biopsies consisted of 254 differentially regulated genes (180 induced and 74 repressed) characterized by the induction of chemokines, cytokines, Toll-like receptors, antimicrobial peptides, monocytoid cell activation markers, and numerous genes annotated as interferon (IFN)-inducible. The IFN-inducible genes included 3 transcripts involved in tryptophan catabolism (IDO1, KMO, KYNU) that play a pivotal role in immune evasion by certain other microbial pathogens by driving the differentiation of regulatory T cells.

Publication Title

Transcriptome Assessment of Erythema Migrans Skin Lesions in Patients With Early Lyme Disease Reveals Predominant Interferon Signaling.

Sample Metadata Fields

Specimen part

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accession-icon GSE105402
Cdk4-inhibitor induces tumor regression of Bladder cancer in vivo
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Cdk4/6 inhibitors have shown to increase overall survival in hormone-positive breast tumors, but whether other solid tumors could respond to these inhibitors has not yet defined. Here we show that Palbociclib (a Cdk4/6 specific inhibitor in clinic use) treatment exerts antiproliferative effects in vivo using a bladder cancer cell lines.

Publication Title

CDK4/6 Inhibitor as a Novel Therapeutic Approach for Advanced Bladder Cancer Independently of <i>RB1</i> Status.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE21029
The lymph node microenvironment promotes B-cell receptor signaling, NF-B activation, and tumor proliferation in chronic lymphocytic leukemia (CLL)
  • organism-icon Homo sapiens
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To elucidate effects of tumor host interactions in vivo in CLL, purified tumor cells were obtained concurrently from blood, bone marrow and/or lymph node and analyzed by gene expression profiling.

Publication Title

The lymph node microenvironment promotes B-cell receptor signaling, NF-kappaB activation, and tumor proliferation in chronic lymphocytic leukemia.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE66618
Expression data from multiple myeloma cells
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Melphalan-induced modulation of miR-221/222 levels in MM cells. Melphalan-resistant U266/LR7 cells showed the highest induction of miR-221/222 after drug exposure. To study the transcriptome perturbation induced in MM cells following the combination of miR-221/222 inhibitors plus melphalan we used the whole gene expression data

Publication Title

A 13 mer LNA-i-miR-221 Inhibitor Restores Drug Sensitivity in Melphalan-Refractory Multiple Myeloma Cells.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE37469
Minor clone provides a reservoir for relapse in multiple myeloma
  • organism-icon Homo sapiens
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st), Affymetrix Mapping 250K Nsp SNP Array (mapping250knsp)

Description

In this study we addressed subclonal evolutionary process after treatment and subsequent relapse in multiple myeloma (MM) in a cohort of 24 MM patients treated either with conventional chemotherapy or with the proteasome inhibitor, bortezomib. Because MM is a highly heterogeneous disease coupled with a large number of DNA copy number alterations (CNAs) and loss of heterozygosity (LOH), we focused our study on the secondary genetic events: 1q21 gain, NF-kB activating mutations, RB1 and TP53 deletions, that seem to reflect progression. By using genome-wide high resolution SNP arrays we identified subclones with nonlinear complex evolutionary histories in a third of patients with myeloma, the relapse clone apparently derived from a minor subclone at diagnosis. Such reordering of the spectrum of genetic lesions during therapy is likely to reflect selection of genetically distinct subclones not initially competitive against the dominant population that survived chemotherapy, thrived and acquired new anomalies. In addition we found that emergence of minor subclones at relapse was significantly associated with bortezomib treatment. Altogether, these data support the idea of new strategy of future clinical trials in MM that would combine targeted therapy and subpopulations control to eradicate all myeloma subclones in order to obtain long-term remission.

Publication Title

Minor clone provides a reservoir for relapse in multiple myeloma.

Sample Metadata Fields

Specimen part, Disease, Cell line, Subject

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accession-icon GSE37414
Expression of genetic adaptability of cancer cells under treatment selection pressure in multiple myeloma patients
  • organism-icon Homo sapiens
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Series GSE25262 patients on expression side.

Publication Title

Minor clone provides a reservoir for relapse in multiple myeloma.

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE93745
Functional role and therapeutic targeting of p21-associated kinase 4 (PAK4) in Multiple Myeloma
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Dysregulated oncogenic serine/threonine kinases play a pathological role in diverse forms of malignancies, including multiple myeloma (MM), and thus represent potential therapeutic targets. Here, we evaluated the biological and functional role of p21-activated kinase 4 (PAK4), and its potential as a new target in MM for clinical applications. PAK4 promoted MM cell growth and survival via activation of MM survival signaling pathways, including the MEK-ERK pathway. Furthermore, treatment with orally bioavailable PAK4 allosteric modulator (KPT-9274) significantly impacted MM cell growth and survival in a large panel of MM cell lines and primary MM cells alone and in the presence of bone marrow microenvironment. Intriguingly, we have identified FGFR3 as a novel binding partner of PAK4 and observed significant activity of KPT-9274 against t(4;14)-positive MM cells. These data support PAK4 as an oncogene in myeloma, and provide the rationale for the clinical evaluation of PAK4 modulator in myeloma.

Publication Title

Functional role and therapeutic targeting of p21-activated kinase 4 in multiple myeloma.

Sample Metadata Fields

Specimen part, Cell line

View Samples
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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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