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accession-icon GSE20613
The Sp100 component of ND10/PML bodies is a potent tumor suppressor
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina human-6 v2.0 expression beadchip

Description

Identifying the functions of proteins, which define specific subnuclear structures and territories, is important for understanding eukaryotic nuclear dynamics. Sp100 is a prototypical protein of ND10/PML bodies and co-localizes with the proto-oncogenic protein PML and Daxx, proteins with critical roles in oncogenic transformation, interferon-mediated viral resistance and response to PML-directed cancer therapeutics. Sp100 isoforms contain PHD, Bromo and HMG domains and are highly sumoylated at ND10/PML bodies, all characteristics suggestive of a role in chromatin mediated gene regulation. However, no clear role for the Sp100 component of PML bodies in oncogenesis has been defined. Using isoform-specific knockdown techniques, we show that most human diploid fibroblasts, which lack Sp100, rapidly senesce and discuss gene expression changes associated with this rapid senescence.

Publication Title

Sp100 as a potent tumor suppressor: accelerated senescence and rapid malignant transformation of human fibroblasts through modulation of an embryonic stem cell program.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE62699
Integrating mRNA and miRNA Co-Expression Networks with eQTLs in the Nucleus Accumbens of Human Chronic Alcoholics
  • organism-icon Homo sapiens
  • sample-icon 72 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Alcohol consumption is known to lead to gene expression changes in the brain. After performing gene co-expression network analysis (WGCNA) of genome-wide mRNA and microRNA expressions in the Nucleus Accumbens (NAc) from subjects with alcohol dependence (AD) and matched controls six mRNA and three miRNA modules significantly correlated with AD after Bonferroni correction (adj. p 0.05) were identified. Cell-type-specific transcriptome analysis revealed two of the mRNA modules to be enriched for neuronal specific marker genes and downregulated in AD, whereas the remaining four were enriched for astrocyte and microglial specific marker genes and were upregulated in AD. Using gene set enrichment analysis, the neuronal specific modules were enriched for genes involved in oxidative phosphorylation, mitochondrial dysfunction and MAPK signaling, while the glial-specific modules were enriched mostly for genes involved in processes related to immune functions, i.e. reactome cytokine signaling in immune system (all adj. p 0.05). In the mRNA and miRNA modules, 461 and 25 candidate hub genes were identified, respectively. In contrast to the expected miRNAs biological functions, the correlation analyses between mRNA and miRNA hub genes revealed a significantly higher number of positive than negative correlations (chi-square p 0.0001). At FDR 0.1, integration of the mRNA and miRNA hubs genes expression with genome-wide genotypic data identified 591 cis-eQTLs and 62 cis-eQTLs for the mRNA and miRNA hubs, respectively. Adjusting for the number of tests, the mRNA cis-eQTLs were significantly enriched for AD GWAS signals in the Collaborative Study on Genetics of Alcohol (COGA) sample (adj. p=0.024), providing a novel biological role for these association signals. In conclusion, our study identified coordinated mRNA and miRNA co-expression changes in the NAc of AD subjects, and our genetic (cis-eQTL) analysis provides novel insights into the etiological mechanisms of AD.

Publication Title

Integrating mRNA and miRNA Weighted Gene Co-Expression Networks with eQTLs in the Nucleus Accumbens of Subjects with Alcohol Dependence.

Sample Metadata Fields

Specimen part, Disease

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accession-icon SRP096656
Crizotinib v. DMSO in SW480 cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

SW480 cells were treated with 2uM crizotinib for 72h (versus DMSO) Overall design: Examination of differential up- or down-regulated genes after crizotinib treatment

Publication Title

Global survey of the immunomodulatory potential of common drugs.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE32331
Early downstream targets of Notch signaling which contribute to multiciliate cell fate
  • organism-icon Xenopus laevis
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Xenopus laevis Genome 2.0 Array (xlaevis2)

Description

Analysis of epithelial explants injected with the intracellular domain of Notch (ICD) to block the formation of multi-ciliate and proton secreting cells or with dominant negative human Mastermind (HMM) or a DNA binding mutant of Mastermind (DBM) to induce the formation of ectopic multi-ciliate and proton secreting cells. Results show which genes are up or down-regulated when DBM/HMM are compared to ICD.

Publication Title

Multicilin promotes centriole assembly and ciliogenesis during multiciliate cell differentiation.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP058107
Homo sapiens Raw sequence reads
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

RNA sequencing of tumor transcriptomes

Publication Title

Robust gene expression and mutation analyses of RNA-sequencing of formalin-fixed diagnostic tumor samples.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP192378
Single cell RNA-seq shows cellular heterogeneity and lineage expansion in a mouse model of SHH-driven medulloblastoma support resistance to SHH inhibitor therapy
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

Cellular diversity within tumors and reduced lineage commitment can undermine targeted therapy by increasing the probability of treatment-resistant populations. Using single-cell RNA-seq, we analyzed cellular diversity and lineage in medulloblastomas in transgenic, medulloblastoma-prone mice, and responses to the SHH-pathway inhibitor vismodegib. Overall design: Drop-Seq single-cell transcriptome sequencing of 15 mice: 5 Wild Type cerebella, 5 Drug-treated cerebellar tumors and 5 vehicle-treated cerebellar tumros.

Publication Title

scRNA-seq in medulloblastoma shows cellular heterogeneity and lineage expansion support resistance to SHH inhibitor therapy.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

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accession-icon SRP061522
Truncation of LOC100288798 (SLC38A4-AS) lncRNA in human haploid KBM7 cell line
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Many thousand long non-coding (lnc) RNAs are mapped in the human genome. Time consuming studies using reverse genetic approaches by post-transcriptional knock-down or genetic modification of the locus demonstrated diverse biological functions for a few of these transcripts. The Human Gene Trap Mutant Collection in haploid KBM7 cells is a ready-to-use tool for studying protein-coding gene function. As lncRNAs show remarkable differences in RNA biology compared to protein-coding genes, it is unclear if this gene trap collection is useful for functional analysis of lncRNAs. Here we use the uncharacterized LOC100288798 lncRNA as a model to answer this question. Using public RNA-seq data we show that LOC100288798 is ubiquitously expressed, but inefficiently spliced. The minor spliced LOC100288798 isoforms are exported to the cytoplasm, whereas the major unspliced isoform is nuclear localized. This shows that LOC100288798 RNA biology differs markedly from typical mRNAs. De novo assembly from RNA-seq data suggests that LOC100288798 extends 289kb beyond its annotated 3'' end and overlaps the downstream SLC38A4 gene. Three cell lines with independent gene trap insertions in LOC100288798 were available from the KBM7 gene trap collection. RT-qPCR and RNA-seq confirmed successful lncRNA truncation and its extended length. Expression analysis from RNA-seq data shows significant deregulation of 41 protein-coding genes upon LOC100288798 truncation. Our data shows that gene trap collections in human haploid cell lines are useful tools to study lncRNAs, and identifies the previously uncharacterized LOC100288798 as a potential gene regulator. Overall design: We cultured and processed 8 KBM7 cell lines in one batch. These cell lines were: two wild type KBM7 cells (WT2 and WT3), two monoclonal KBM7 cell lines with gene trap cassette insertions outside of the body of LOC100288798 (C1 and C2), two independently obtained KBM7 clones with gene trap cassette insertion 3kb downstream LOC100288798 transcriptional start site (TSS) (3kb1 and 3kb2), one independently obtained KBM7 clone with gene trap cassette insertion 100kb downstream LOC100288798 TSS replicated twice at the thawing step (100kb1 and 100kb2). We isolated total RNA from all th 8 cell lines, applied DNAseI treatment and ribosomal RNA depletion, and thhen prepared strand-specific RNA-seq libraries, which were pooled in equal molarities and sequenced using Illumina HiSeq 2000 (8 pooled samples were sequence on 2 lanes). We performed 50bp single-end RNA-seq. We used these 8 samples (4 untreated: WT2, WT3, C1, C2 and 4 treated:3kb1, 3kb2, 100kbk1, 100kb2) to analyze genome-wide gene deregulation associated with LOC100288798 lncRNA truncation

Publication Title

A human haploid gene trap collection to study lncRNAs with unusual RNA biology.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE108649
Transcriptomic Predictors of Paradoxical Cryptococcosis-Associated Immune Reconstitution Inflammatory Syndrome
  • organism-icon Homo sapiens
  • sample-icon 162 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Paradoxical cryptococcosis-associated immune reconstitution inflammatory syndrome

Publication Title

Transcriptomic Predictors of Paradoxical Cryptococcosis-Associated Immune Reconstitution Inflammatory Syndrome.

Sample Metadata Fields

Specimen part

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accession-icon GSE119061
Reovirus infection induces stabilization and up-regulation of cellular transcripts that encode regulators of TGF-beta signaling
  • organism-icon Mus musculus
  • sample-icon 46 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

We utilized oligonucleotide microarrays to measure cellular mRNA decay rates in mock- or reovirus-infected murine L929 cells to determine if changes in host mRNA expression are a consequence of reovirus-induced alterations in cellular mRNA stability.

Publication Title

Reovirus infection induces stabilization and up-regulation of cellular transcripts that encode regulators of TGF-β signaling.

Sample Metadata Fields

Cell line, Time

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accession-icon GSE63678
Expression data from Vulvar, Cervical, Endometrial Carcinoma tissue
  • organism-icon Homo sapiens
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

A growing number of studies on gynecological cancers (GCs) have revealed potential gene markers associated either with the pathogenesis and progression of the disease on representing putative targets for therapy and treatment of cervical (CC), endometrial (EC) and vulvar cancer (VC). However, quite a little overlap is found between these data. In this study we combined data from the three GCs integrating gene expression profile analysis.

Publication Title

Profiling of Discrete Gynecological Cancers Reveals Novel Transcriptional Modules and Common Features Shared by Other Cancer Types and Embryonic Stem Cells.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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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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