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accession-icon GSE6482
mECK36: a cell and animal model of virally induced Kaposi's sarcoma
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Transfection of a Kaposi's sarcoma (KS) herpesvirus (KSHV) Bacterial Artificial Chromosome (KSHVBac36) into mouse bone marrow endothelial lineage cells generated a cell (mECK36) that induced KS-like tumors in mice. mECK36 formed KSHV-harboring vascularized spindle-cell sarcomas that were LANA+ and displayed a KSHV and host transcriptomes reminiscent of KS tumors.

Publication Title

In vivo-restricted and reversible malignancy induced by human herpesvirus-8 KSHV: a cell and animal model of virally induced Kaposi's sarcoma.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP173226
RNA Seq of P. aeruginosa clinical isolate collection
  • organism-icon Pseudomonas aeruginosa
  • sample-icon 414 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Purpose : The goal of this study was to use RNA Seq to explore the correlation of gene expression of a collection of clinical P. aeruginosa isolates to various phenotypes, such as antimicrobial resistance, biofilm formation or virulence Methods : mRNA profiles were generated for Pseudomonas aerugionsa clinical samples derived from various geographical locations by deep sequencing. The removal of ribosomal RNA was performed using the Ribo-Zero Bacteria Kit (Illumina) and cDNA libraries were generated with the ScriptSeq v2 Kit (Illumina) . The samples were sequenced in single end mode on an Illumina HiSeq 2500 device and mRNA reads were trimmed and mapped to the NC_008463.1 (PA14) reference genome from NCBI using Stampy pipeline with defaut settings. Overall design: mRNA profiles from Pseudomonas aeruginosa derived from liquid LB cultures grown to an OD600 = 2 and deep sequenced using Illumina HiSeq 2500.

Publication Title

Predicting antimicrobial resistance in Pseudomonas aeruginosa with machine learning-enabled molecular diagnostics.

Sample Metadata Fields

Disease, Subject

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accession-icon GSE3170
Barley single feature polymorphisms and drought stress gene expression
  • organism-icon Hordeum vulgare
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Barley Genome Array (barley1)

Description

Detection of single feature polymorphisms comparing five barley genotypes. Gene expression under unstressed and drought stressed conditions.

Publication Title

Detecting single-feature polymorphisms using oligonucleotide arrays and robustified projection pursuit.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE30585
Gene expression changes induced by dimerization of intracellular c-Mpl in cord blood CD34+ progenitors
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Homodimerization of Mpl can also be accomplished in the absence of Tpo, by binding of a synthetic ligand (Chemical inducer of dimerization, CID) to a constitutively expressed fusion protein F36VMpl consisting of a ligand binding domain (F36V) and the intracellular signaling domain of Mpl. In contrast to Tpo stimulation, F36VMpl dimerization in human CD34+ progenitor cells generates robust erythropoiesis.

Publication Title

Novel pathways to erythropoiesis induced by dimerization of intracellular C-Mpl in human hematopoietic progenitors.

Sample Metadata Fields

Specimen part

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accession-icon GSE14627
Gene expression analysis of SH-SY5Y neuroblastoma cells overexpressing ZNF423
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HumanWG-6 v3.0 expression beadchip

Description

We have identified ZNF423 (also known as Ebfaz, OAZ or Zfp423) as a component critically required for retinoic acid (RA)-induced differentiation. ZNF423 associates with the RAR/RXR nuclear receptor complex and is essential for transactivation in response to retinoids. Down-regulation of ZNF423 expression by RNA interference in neuroblastoma cells results in a growth advantage and resistance to RA-induced differentiation, whereas overexpression of ZNF423 leads to growth inhibition and enhanced differentiation. Futhermore, we show that low ZNF423 expression is associated with poor disease outcome of neuroblastoma patients. To identify the other key pathways regulated by ZNF423 in human neuroblastoma, we expressed elevated levels of ZNF423 in SH-SY5Y cells and performed full genome gene expression analysis in these cells.

Publication Title

ZNF423 is critically required for retinoic acid-induced differentiation and is a marker of neuroblastoma outcome.

Sample Metadata Fields

Specimen part

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accession-icon GSE147708
Evidence of Y Chromosome LncRNAs involved in Radiation Response of Male Non-Small Cell Lung Cancer Cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Numerous studies have implicated changes in the Y chromosome in male cancers, however few have investigated the biological importance of Y chromosome non-coding RNAs. Here, we demonstrate a group of Y chromosome-expressed long non-coding RNAs (lncRNAs) involved in male non-small cell lung cancer (NSCLC) radiation sensitivity. Radiosensitive male NSCLC cell lines demonstrated a dose-dependent induction of linc-SPRY3-2/3/4 following irradiation, not observed in radioresistant male NSCLC cell lines. Cytogenetics revealed the loss of chromosome Y (LOY) in the radioresistant male NSCLC cell lines. Gain- and loss-of-function experiments indicated that linc-SPRY3-2/3/4 transcripts affect cell viability and apoptosis. UV Cross-linking and Immunoprecipitation (CLIP) and RNA stability assays identify IGF2BP3 as a binding partner for the linc-SPRY3-2/3/4 RNAs which alters the half-life of the anti-apoptotic HMGA2 mRNA as well as the oncogenic c-MYC mRNA. To assess the clinical relevance of these findings, we examined the presence of the Y chromosome in NSCLC tissue microarrays and the expression of linc-SPRY3-2/3/4 in NSCLC RNAseq and microarray data. We observed a negative correlation between the loss of the Y chromosome or linc-SPRY3-2/3/4 and overall survival. Thus, linc-SPRY3-2/3/4 expression and LOY could represent an important marker of radiation therapy in NSCLC.

Publication Title

Y Chromosome LncRNA Are Involved in Radiation Response of Male Non-Small Cell Lung Cancer Cells.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE85047
Gene expression data from primary neuroblastoma tumors
  • organism-icon Homo sapiens
  • sample-icon 283 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

This dataset contains gene expression data from the NRC series (Neuroblastoma Research Consortium) for a total of 283 primary neuroblastoma tumors. All tumor samples are fully annotated including patient age at diagnosis, overall and progresison free survival and MYCN amplification status, enabling subgroup analysis, survival analysis and gene expression network analysis.

Publication Title

Cross-Cohort Analysis Identifies a TEAD4-MYCN Positive Feedback Loop as the Core Regulatory Element of High-Risk Neuroblastoma.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP078495
Network-based, cross-cohort discovery of transcriptional mechanisms presiding over maintenance of high-risk neuroblastoma subtype state
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon

Description

Network-based analysis of neuroblastoma samples from two large cohorts identified master regulator proteins controlling the transcriptional state of three high-risk molecular subtypes. In particular, a TEAD4-MYCN positive feedback loop emerged as the core regulatory motif of a small protein module presiding over implementation and stability of the subtype associated with MYCN amplification. Specifically, MYCN transcriptionally activates TEAD4, which in turn activates MYCN both transcriptionally and post-translationally. The resulting MYCN-TEAD4 positive feedback loop plays a critical role in maintaining aberrant activity of a 10-protein regulatory module that causally regulates the transcriptional state of this subtype. Consistently, loss of TEAD4 activity induces core module activity collapse and abrogates neuroblastoma cell viability in vitro and in vivo, thus suggesting novel therapeutic strategies for this important childhood cancer. Overall design: Study of the transcriptional control by TEAD4 and MYCN positive feedback loop using RNA-seq profiles of TEAD4, WWTR1 and MYCN shRNA knockdowns in neuroblastoma BE2 cells. ChIP-Seq analysis using TEAD4 antibody in BE2 cells.

Publication Title

Cross-Cohort Analysis Identifies a TEAD4-MYCN Positive Feedback Loop as the Core Regulatory Element of High-Risk Neuroblastoma.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE48780
Expression data from Rheumatoid Arthritis synovial tissue samples
  • organism-icon Homo sapiens
  • sample-icon 78 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Rheumatoid arthritis (RA) is a complex and clinically heterogeneous autoimmune disease.

Publication Title

PILRα negatively regulates mouse inflammatory arthritis.

Sample Metadata Fields

Sex, Specimen part, Subject

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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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