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accession-icon E-MEXP-2089
Transcription profiling by array of liver from KLF10 knock out mice
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Experiment comparing the liver transcriptome from wild type and KLF10 deficient mice

Publication Title

Kruppel-like factor KLF10 is a link between the circadian clock and metabolism in liver.

Sample Metadata Fields

Sex, Age, Specimen part, Subject

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accession-icon SRP099191
Mouse mammary fibroblast gene expression comparison between nulliparous and involution day 6.
  • organism-icon Mus musculus
  • sample-icon 57 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We tested the gene expression difference between PDGFRa+ fibroblasts FACS sorted from nulliparous balb/c mouse mammary glands and 6 days post-weaning mammary glands Overall design: 2 biological replicates of fibroblasts from nulliparous mammary glands and 3 biological replicates of fibroblasts from 6 days post-weaning mammary glands were used for comparison.

Publication Title

Physiologically activated mammary fibroblasts promote postpartum mammary cancer.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP130950
Cell of origin dictates aggression and stem cell activity in acute lymphoblastic leukemia
  • organism-icon Danio rerio
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Subclassification of lymphoid neoplasms is often based on the presumed cell of origin based on T and B progenitor gene expression and the effect of cell lineage on influencing functional characteristics such as aggression and self-renewal capacity is largely unknown, accounted for in part, by lack of experimental models to address these questions. Here, we have used transgenic zebrafish to create the first models of Myc-induced B-ALL and mixed phenotypic B/T-ALL, opening new avenues for studying the these leukemias in the zebrafish. Our work has utilized syngeneic strain zebrafish, limiting dilution cell transplantation, and the widely reported rag2-Myc transgenic model to provide new understanding of how strain differences can underlie leukemia onset in the zebrafish model. Even more importantly, our work now for the first time, has allowed assessment of cell lineage on dictating aggression and leukemia stem cell frequency independent of the underlying oncogenic driver. In total, our work uncoveres that T-ALLs are more aggressive and have higher numbers of leukemia stem cells when compared with B-ALL and mixed phenotypic ALL. Furthermore, analysis of our biphenotypic B/T-ALL suggests that B cell pathways lock cells in less aggressive and lower stem cell fates and are dominant in regulating these processes when T cell pathways are co-regulated within ALL cells. Overall design: The goal of our study is to determine the transcriptional profiles of high and low self-renewing capacity tumors. 20 samples total: 11 unique samples (9 samples with biological replicates), 6 high self-renewing tumors (>1% cells could initiate leukemia) and 5 low self-renewing tumors (<1% of cells could initiate leukemia).

Publication Title

Cell of origin dictates aggression and stem cell number in acute lymphoblastic leukemia.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE79831
Comparison of wild type mouse lung cancer cell lines to transfected cell lines with Spp1 sh RNA
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

We compared different mouse cancer cell lines to identify their unique cell signatures.

Publication Title

Tumor-derived osteopontin isoforms cooperate with TRP53 and CCL2 to promote lung metastasis.

Sample Metadata Fields

Cell line

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accession-icon GSE23522
Position-dependent alternative splicing activity revealed by global profiling of alternative splicing events regulated by PTB
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Position-dependent alternative splicing activity revealed by global profiling of alternative splicing events regulated by PTB.

Sample Metadata Fields

Cell line

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accession-icon GSE23514
Position-dependent alternative splicing activity revealed by global profiling of alternative splicing events regulated by PTB (Exon array)
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

To gain global insights into the role of the well-known repressive splicing regulator PTB we analyzed the consequences of PTB knockdown in HeLa cells using high-density oliogonucleotide splice-sensitive microarrays. The major class of identified PTB-regulated splicing event was PTB-repressed cassette exons, but there was also a substantial number of PTB-activated splicing events. PTB repressed and activated exons showed a distinct arrangement of motifs with pyrimidine-rich motif enrichment within and upstream of repressed exons, but downstream of activated exons. The N-terminal half of PTB was sufficient to activate splicing when recruited downstream of a PTB-activated exon. Moreover, insertion of an upstream pyrimidine tract was sufficient to convert a PTBactivated to a PTB-repressed exon. Our results demonstrate that PTB, an archetypal splicing repressor, has variable splicing activity that predictably depends upon its binding location with respect to target exons.

Publication Title

Position-dependent alternative splicing activity revealed by global profiling of alternative splicing events regulated by PTB.

Sample Metadata Fields

Cell line

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accession-icon GSE14806
Comparative analyses of gene copy number and mRNA expression in GBM tumors and GBM xenografts
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Mapping 50K Xba240 SNP Array (mapping50kxba240), Affymetrix HT Human Genome U133A Array (hthgu133a)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Comparative analyses of gene copy number and mRNA expression in glioblastoma multiforme tumors and xenografts.

Sample Metadata Fields

Specimen part, Disease stage

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accession-icon GSE14805
Transcript expression data from glioblastoma subcutaneous xenografts and non-neoplastic control brain
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Mapping 50K Xba240 SNP Array (mapping50kxba240), Affymetrix HT Human Genome U133A Array (hthgu133a)

Description

Development of model systems that recapitulate the molecular heterogeneity observed amongst GBM tumors will expedite the testing of targeted molecular therapeutic strategies for GBM treatment. In this study, we profiled DNA copy number and mRNA expression in 21 independent GBM tumor lines maintained as subcutaneous xenografts (GBMX), and compared GBMX molecular signatures to those observed in GBM clinical specimens derived from The Cancer Genome Atlas (TCGA). The predominant copy number signature in both tumor groups was defined by chromosome-7-gain/chromosome-10-loss, a poor prognosis genetic signature. We also observed, at frequencies similar to that detected in TCGA GBMs genomic amplification and overexpression of known GBM oncogenes such as EGFR, MDM2, CDK6 and MYCN, and novel genes including NUP107, SLC35E3, MMP1, MMP13 and DDX1. The transcriptional signature of GBMX tumors, which was stable over multiple subcutaneous passages, was defined by overexpression of genes involved in M-phase, DNA Replication, and Chromosome organization (MRC) and was highly similar to the poor-prognosis mitosis-and-cell-cycle-module (MCM) in GBM. Assessment of gene expression in TCGA-derived GBMs revealed overexpression of MRC cancer genes AURKB, BIRC5, CCNB1, CCNB2, CDC2, CDK2, and FOXM1, which form a transcriptional network important for G2/M- progression and/or -checkpoint activation. In conclusion, our study supports propagation of GBM tumors as subcutaneous xenografts as a useful approach for sustaining key molecular characteristics of patient tumors, and highlights therapeutic opportunities conferred by this GBMX tumor panel for testing targeted therapeutic strategies for GBM treatment.

Publication Title

Comparative analyses of gene copy number and mRNA expression in glioblastoma multiforme tumors and xenografts.

Sample Metadata Fields

Specimen part, Disease stage

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accession-icon GSE51978
Gene expression profiling in neuroblastoma cells upon CHAF1A silencing
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We used an inducible ShRNA system and microarrays to detail the global programme of gene expression underlying neuroblastoma differentiation upon CHAF1A silencing .

Publication Title

Histone chaperone CHAF1A inhibits differentiation and promotes aggressive neuroblastoma.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE43053
The multikinase inhibitor Sorafenib targets mitochondria and synergizes with glycolysis blockade for cancer cell killing.
  • organism-icon Rattus norvegicus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 1.0 ST Array (ragene10st)

Description

Objective: identify novel and relevant aspects of Sorafenib action on liver cancer cells. We found that in rat hepatocholangiocarcinoma (LCSC-2) cells, exposure to the MEK/multikinase inhibitor sorafenib did not inhibit ERK phosphorylation nor induced appreciable cell death in the low micromolar range; instead, the drug elicited a raise of intracellular reactive oxygen species (ROS) accompanied by a severe decrease of oxygen consumption and intracellular ATP levels, all changes consistent with mitochondrial damage. Moreover, Sorafenib induced depolarization of isolated rat liver mitochondria, indicating a possible direct effect on the organelle. Microarray analysis of gene expression in sorafenib-trated cells revealed a metabolic reprogramming toward aerobic glycolysis, that likely accounts for resitance to drug toxicity in this cell line. Importantly, cytotoxicity was strongly potentiated by glucose withdrawal from the culture medium or by the glycolytic inhibitor 2-deoxy-glucose, a finding also confirmed in the highly malignant melanoma cell line B16F10. Mechanistic studies revealed that ROS are pivotal to cell killing by the Sorafenib + 2DG combination, and that a low content of intracellular oxidants is associated with resistance to the drug; instead, Thr172phosphorylation/activation of the AMP-activated protein kinase (AMPK), induced by Sorafenib, may exert protective effects, since cytotoxicity was enhanced by an AMPK specific inhibitor and prevented by the AMPK activator Metformin. Overall, this study identifies novel and relevant aspects of Sorafenib action on liver cancer cells, including mitochondrial damage, induction of ROS and a metabolic cell reprogramming towards glucose addiction, potentially exploitable in therapy.

Publication Title

The multikinase inhibitor Sorafenib enhances glycolysis and synergizes with glycolysis blockade for cancer cell killing.

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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