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accession-icon SRP063872
Global gene expression profile of primary mouse brain and glioblastoma tissues
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Mouse glioblastomas were induced by lentiviral vector expressing HrasG12V and shRNA against p53. Tumor tissues were isolated from mice reached clinical endpoints. RNA was isolated using the RNeasy kit according to manufacturer’s protocol with the addition of DNase (Qiagen). cDNA libraries were prepared using the TruSeq RNA Sample Prep kit (Illumina). RNA sequencing was performed using a HiSeq 2500 Sequencing System (Illumina). Overall design: 3 normal mouse brain samples compared to 5 glioblastoma samples by standard RNAseq method.

Publication Title

Targeting NF-κB in glioblastoma: A therapeutic approach.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE35917
Expression data of transduced mouse glioblastomas
  • organism-icon Mus musculus
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Transgenic GFAP-, NES-, and SYN- CRE mice were injected with a lenti-viral construct containing a floxed RFP directly upstream of a cassette containing si-p53, GFP, and mutant HRAS. Tumors arising from the various CRE tissue specific promoters and differing injections sites were compared to normal hippocampus and cortex.

Publication Title

Dedifferentiation of neurons and astrocytes by oncogenes can induce gliomas in mice.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP126547
Pancreatic tumor microenvironment confers highly malignant properties on pancreatic cancer cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIon Torrent Proton

Description

Tumor microenvironment plays a pivotal role in cancer progression; however, little is known regarding how differences in the microenvironment affect characteristics of cancer cells. Here, we investigated the effects of tumor microenvironment on cancer cells by using mouse tumor models. After 3 cycles of inoculation and extraction of human pancreatic cancer cells, including SUIT-2 and Panc-1 cells, from tumors, distinct cancer cell lines were established; 3P cells from the pancreas obtained using the orthotopic tumor model, and 3sc cells from subcutaneous tissue obtained using the subcutaneous tumor model. On cell re-inoculation of these cells, the 3sc cells and, more prominently, the 3P cells, exhibited higher tumorigenic activity than the parental cells. The 3P cells specifically exhibited low E-cadherin expression and high invasiveness, suggesting that they were endowed with the highest malignant characteristics. RNA-sequence analysis demonstrated that distinct signaling pathways were activated in each cell line and that the 3P cells acquired a cancer stem cell-like phenotype. Among cancer stem cell-related genes, those specifically expressed in the 3P cells, including NES, may be potential new targets for cancer therapy. The mechanisms underlying the development of highly malignant cancer cell lines were investigated. Individual clones within the parental cells varied in tumor-forming ability, indicating the presence of cellular heterogeneity. Moreover, the gene expression profile of each clone changed after orthotopic inoculation. The present study thus suggests that both selection and education processes are involved in the development of highly malignant cancer cells. Overall design: Expression of mRNA in the highly malignant sublines of SUIT-2 and Panc-1 cells xenografted into mice.

Publication Title

Pancreatic tumor microenvironment confers highly malignant properties on pancreatic cancer cells.

Sample Metadata Fields

Subject

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accession-icon GSE8341
ChIP-on-chip experiments of normal and failed hearts of Dahl rat
  • organism-icon Rattus norvegicus
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Left ventricle myocytes from Dahl rats with a normal or failed heart was subjected to mRNA quantitation or ChIP-on-chip experiments with Affymetrix Rat Genome 230 2.0 microarrays.

Publication Title

Genome-wide histone methylation profile for heart failure.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE8331
mRNA quantitation of human heart left ventricles
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Left ventricle myocytes were prepared from patients with High or low ejection fraction, and subjected to mRNA profiling.

Publication Title

Genome-wide histone methylation profile for heart failure.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP133349
High definition analysis of host protein stability during human cytomegalovirus infection reveals antiviral factors and viral evasion mechanisms
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Human cytomegalovirus (HCMV) is an important pathogen with multiple immune evasion strategies, including virally facilitated degradation of host antiviral restriction factors. Here, we describe a multiplexed approach to discover proteins with innate immune function on the basis of active degradation by the proteasome or lysosome during early phase HCMV infection. Using three orthogonal proteomic/transcriptomic screens to quantify protein degradation, with high confidence we identified 35 proteins enriched in antiviral restriction factors. A final screen employed a comprehensive panel of viral mutants to predict viral genes that target >250 human proteins. This approach revealed Helicase-like Transcription Factor (HLTF), a DNA helicase important in DNA repair, potently inhibits early viral gene expression but is rapidly degraded during infection. The functionally unknown HCMV protein UL145 facilitates HLTF degradation by recruiting the Cullin4 E3 ligase complex. Our approach and data will enable further identifications of innate pathways targeted by HCMV and other viruses. Overall design: 9 samples comprising three sets of three replicates (0h, 24h, 72h)

Publication Title

High-Definition Analysis of Host Protein Stability during Human Cytomegalovirus Infection Reveals Antiviral Factors and Viral Evasion Mechanisms.

Sample Metadata Fields

Specimen part, Subject, Time

View Samples
accession-icon GSE119650
Transcriptomes of microglia in experimental cerebral malaria in mice in the presence and absence of Type I Interferon signaling
  • organism-icon Mus musculus
  • sample-icon 22 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Plasmodium berghei ANKA infection in mice is used as a model for human cerebral malaria, the most severe complication of Plasmodium falciparum infection. The response of brain cells such as microglia has been little investigated, and may play a role in the pathogenesis or regulation of cerebral malaria. We showed previously that microglia are activated in P. berghei infections, and that Type 1 Interferon signaling is important for activation. This dataset contains the transcriptome of brain microglia of infected mice in the presence and absence of Type I interferon signaling, with the aim of identifying the genes involved in this pathway in microglia during experimental cerebral malaria. Refererence: Capuccini et al 2016, Scientific Reports, 6:39258

Publication Title

Transcriptomic profiling of microglia reveals signatures of cell activation and immune response, during experimental cerebral malaria.

Sample Metadata Fields

Sex, Specimen part, Treatment

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accession-icon GSE29458
Expression data from PDGF driven mouse tumors
  • organism-icon Mus musculus
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Background

Publication Title

Glioblastoma models reveal the connection between adult glial progenitors and the proneural phenotype.

Sample Metadata Fields

Specimen part

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accession-icon GSE92358
Role of the endosomal TLR3, 7 and 9 receptors in anti-tumor immunity
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Analysis of gene expression on day four and day six after tumor inoculation.

Publication Title

Combined toll-like receptor 3/7/9 deficiency on host cells results in T-cell-dependent control of tumour growth.

Sample Metadata Fields

Specimen part

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accession-icon GSE1133
tissue-specific pattern of mRNA expression
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 158 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The tissue-specific pattern of mRNA expression can indicate important clues about gene function. High-density oligonucleotide arrays offer the opportunity to examine patterns of gene expression on a genome scale. Toward this end, we have designed custom arrays that interrogate the expression of the vast majority of protein-encoding human and mouse genes and have used them to profile a panel of 79 human and 61 mouse tissues. The resulting data set provides the expression patterns for thousands of predicted genes, as well as known and poorly characterized genes, from mice and humans. We have explored this data set for global trends in gene expression, evaluated commonly used lines of evidence in gene prediction methodologies, and investigated patterns indicative of chromosomal organization of transcription. We describe hundreds of regions of correlated transcription and show that some are subject to both tissue and parental allele-specific expression, suggesting a link between spatial expression and imprinting.

Publication Title

A gene atlas of the mouse and human protein-encoding transcriptomes.

Sample Metadata Fields

No sample metadata fields

View Samples

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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