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accession-icon SRP107943
Dual inhibition of HDMX and HDM2 as a Therapeutic Strategy in Leukemia
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

The p53 protein is the most frequently inactivated tumor suppressor in human cancer. While p53 mutations are found in 50% of all cancers, the p53 pathway can also be suppressed by its interaction with endogenous inhibitors HDMX and HDM2, which are frequently overexpressed in patients with acute myeloid leukemia and other cancers. Thus, pharmacological disruption of both these interactions is an attractive strategy to restore p53-dependent tumor suppressor activity in AML with wild type P53. Strategies targeting HDM2 have recently generated promising results; however, cancer cells are still left vulnerable to p53 inhibition by HDMX, particularly in cancers such as leukemia that overexpress HDMX. In this study, we demonstrate that dual HDMX/HDM2 inhibition using a stapled alpha-helical peptide (ALRN-6924), which has recently entered clinical testing, leads to striking anti-leukemic effects. ALRN-6924 robustly activates p53-dependent transcription at the single cell and single molecule level, and exhibits biochemical and molecular biological on-target activity in leukemia cells in vitro and in a patient who received ALRN-6924 treatment. Dual HDMX/HDM2 inhibition by ALRN-6924 inhibits cellular proliferation by inducing cell cycle arrest and apoptosis in cell lines and primary AML patients' cells, including in leukemic stem cell-enriched populations, and disrupts functional clonogenic and serial replating capacity. Furthermore, ALRN-6924 leads to significantly improved survival in an AML xenograft model in vivo. At the molecular level, dual HDMX/HDM2 inhibition leads to global transcriptional activation of p53-dependent pathways in leukemia cells. Our study provides insight into the effects of dual HDMX/HDM2 inhibition and proof-of-concept for ALRN-6924 as a novel therapeutic approach in AML and other cancers with high HDMX levels. Overall design: Total mRNA expression profiles of vehicle (1:10 DMSO) or 1 uM ALRN-6924 treated AML cells (6 hours) were generated by deep sequencing, in triplicates, using the Illumnia HiSeq 2500 instrument.

Publication Title

Dual inhibition of MDMX and MDM2 as a therapeutic strategy in leukemia.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP131037
Using Next-Generation Sequencing Transcriptomics to Determine Markers of Post-traumatic Symptoms - preliminary findings from a post-deployment cohort
  • organism-icon Homo sapiens
  • sample-icon 78 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Post-traumatic stress disorder is a concerning psycho behavioral disorder thought to emerge from the complex interaction between genetic and environmental factors. For soldiers exposed to combat, the risk of developing this disorder is two-fold and diagnosis is often late, when much sequela has set in. To be able to identify and diagnose in advance those at “risk” of developing PTSD, would greatly taper the gap between late sequelae and treatment. Therefore, this study sought to test the hypothesis that the transcriptome can be used to track the development of PTSD in this unique and susceptible cohort of individuals. Gene expression levels in peripheral blood samples from 85 Canadian infantry soldiers (n = 58 subjects negative for PTSD symptoms and n = 27 subjects with PTSD symptoms) were determined by RNA sequencing technology following their return from deployment to Afghanistan. Count-based gene expression quantification, normalization and differential analysis (with thorough correction for confounders) revealed significant differences in two genes, LRP8 and GOLM1 . These preliminary results provide a proof-of-principle for the diagnostic utility of blood-based gene expression profiles for tracking symptoms of post-traumatic stress disorder in soldiers returning from tour. It is also the first to report transcriptome-wide expression profiles alongside a post-traumatic symptom checklist. Overall design: Peripheral blood samples from 85 Canadian infantry soldiers (n = 58 subjects negative for PTSD symptoms and n = 27 subjects with PTSD symptoms)

Publication Title

Using Next-Generation Sequencing Transcriptomics To Determine Markers of Post-traumatic Symptoms: Preliminary Findings from a Post-deployment Cohort of Soldiers.

Sample Metadata Fields

Sex, Subject

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accession-icon SRP065612
Predicting microRNA targeting efficacy in Drosophila
  • organism-icon Drosophila melanogaster
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

A series of transfections was performed in Drosophila S2 cells to explore: 1) the types of target sites that Drosophila microRNAs recognize, 2) the relative functional efficacy of these sites in mediating repression, and 3) the determinants that allow some sites to have greater potency than others. 3p-seq was also performed to help reannotate and quantify the landscape of 3'' UTRs in Drosophila S2 cells. Overall design: Nine mRNA profiles were generated, with Drosophila S2 cells transfected with one of 6 microRNAs (miR-1, miR-4, miR-92a, miR-124, miR-263a, and miR-997). These samples were compared to 3 biological replicates of a mock transfection condition. 3p-seq data for S2 cells was also generated to help reannotate and quantify 3'' UTR isoforms.

Publication Title

Predicting microRNA targeting efficacy in Drosophila.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE46216
Role of glucocorticoids and an RNA binding protein (RBP) in early erythroid progenitors
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

ZFP36L2 is required for self-renewal of early burst-forming unit erythroid progenitors.

Sample Metadata Fields

Specimen part

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accession-icon GSE46108
Identification of transcripts bound by an RNA binding protein (RBP) in early erythroid progenitor using RNA-binding protein immunoprecipitation-microarray (RIP-Chip) experiment
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Early erythroid progenitors were isolated from mouse E14.5 fetal liver. After cell lysing, control IgG or RBP specific antibody were incubated with cell lysis. Immunoprecipitation followed by microarray experiments were carried out to identify transcripts that are immunoprecipitated by either control IgG or RBP specific antibody.

Publication Title

ZFP36L2 is required for self-renewal of early burst-forming unit erythroid progenitors.

Sample Metadata Fields

Specimen part

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accession-icon GSE43088
Genome-wide expression of transcriptomes under waterlogging stress condition in subtropical maize
  • organism-icon Zea mays
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Maize Genome Array (maize)

Description

Genome-wide transcriptome analysis was performed to understand the expression pattern of transcriptomes in tolerant and susceptible subtropical maize genotypes under waterlogging stress condition.

Publication Title

Genome-wide expression of transcriptomes and their co-expression pattern in subtropical maize (Zea mays L.) under waterlogging stress.

Sample Metadata Fields

Specimen part, Treatment, Time

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accession-icon GSE22787
Affymetrix HG-U133A 2.0 Expression data
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Expression .CEL files from Affymetrix HG-U133A 2.0 arrays using DNA from 14 human cell lines derived from metastasized melanoma

Publication Title

Differences in global gene expression in melanoma cell lines with and without homozygous deletion of the CDKN2A locus genes.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon SRP066012
RNA-Seq comparisons of gene expression profiles of epithelial and mesenchymal cells - HMLE, N8, N8-CTx
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

We find that treating mesenchymal NAMEC8 cells with cholera toxin (CTx) to elevate intracellular cAMP levels and activate PKA induces a mesenchymal-to-epithelial transition whereby the cells assume an epithelial state (N8-CTx). NAMEC8 cells undergo epigenetic reprogramming triggered by active PHF2, a histone demethylase, which demethylates H3K9me2 and H3K9me3 regions of epithelial genes silencing in the mesenchymal state Overall design: Performing RNASeq with HMLE (immortalized human mammary epithelial cells), their mesenchymal CD44hi counterparts, NAMEC8 and the CTx-reverted versions of NAMEC8 a.k.a N8-CTx

Publication Title

Activation of PKA leads to mesenchymal-to-epithelial transition and loss of tumor-initiating ability.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE25678
Expression Profiling of Erythroid Progenitors After MYB shRNA Knockdown
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

MYB plays a critical role as a regulator of erythropoieisis. We have shown that MYB silences epsilon and gamma-globin expression in erythroid progenitors. We here examine erythroid cells at the basophilic erythroblast stage of differentiation with MYB shRNA or control lentiviral transduction prior to differentiation.

Publication Title

MicroRNA-15a and -16-1 act via MYB to elevate fetal hemoglobin expression in human trisomy 13.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE27255
Targeting the MTOR-AKT pathway in DLBCL
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The mTOR (mammalian Target of Rapamycin) pathway is constitutively activated in Diffuse Large B-Cell Lymphoma (DLBCL). mTOR inhibition has been shown to have clinical activity in patients with DLBCL, although overall response rates remain low. We therefore evaluated differences in the transcriptome between DLBCL cell lines with differential sensitivity to the mTOR inhibitor Rapamycin, to (A) identify gene-expression patterns(GEP) capable of identifying sensitivity to Rapamycin, (B) understand the underlying mechanisms of resistance to Rapamycin in DLBCL and (C) identify bioactive molecules likely to synergize with mTOR inhibitors. Using Affymetrix HuGene ST 1.0 microarrays, we were able to identify a gene expression signature capable of accurately predicting sensitivity and resistance to Rapamycin in DLBCL cell lines. Pathway analysis identified the serine/threonine kinase Akt as central to the differentially-expressed gene network. Connectivity mapping of our datasets identified compounds targeting the AKT pathway with a high likelihood of reversing the GEP associated with resistance to Rapamycin. Specifically, we evaluated the HIV protease inhibitor (PI) Nelfinavir, which is known to have anti-cancer and Akt-inhibitory properties, as well as the small molecule Akt inhibitor MK-2206, for their potential to synergize with to Rapamycin in DLBCL. Nelfinavir and MK-2206 caused profound inhibition of cell viability in combination with Rapamycin in DLBCL cell lines. Low nanomolar concentrations of Rapamycin inhibited phosphorylation of Akt and also downstream targets of activated mTOR when used in combination with these Akt inhibitors. These findings have the potential to significantly improve patient selection for mTOR inhibitor therapy, and to improve rates and depths of response. More broadly, they support the use of global RNA expression and connectivity mapping to improve patient selection and identify synergistic drug combinations for cancer therapy.

Publication Title

Akt inhibitors MK-2206 and nelfinavir overcome mTOR inhibitor resistance in diffuse large B-cell lymphoma.

Sample Metadata Fields

Cell line

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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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