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accession-icon SRP157995
Transcriptome of nascent teratoma cell-derived pluripotent stem cells, Dnd1-KD ESCs and control ESCs.
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We report transcriptome of nascent teratoma cell-derived pluripotent stem cells, Dnd1-KD ESCs and control ESC by RNA-seq. Overall design: RNA-seq of two independent pluripotent stem cell lines derived form nascent teratoma cell in new-born testis of Dnd1-deficient mice, control E14tg2a ESCs and Dnd1-KD ESCs in dupulicate by using Illumina HiSeq2500.

Publication Title

Derivation of pluripotent stem cells from nascent undifferentiated teratoma.

Sample Metadata Fields

Disease, Cell line, Subject

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accession-icon GSE49980
The transcriptomic response of rat hepatic stellate cells to endotoxin: implications for hepatic inflammation and immune regulation
  • organism-icon Rattus norvegicus
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Located in the perisinusoidal space of Disse, hepatic stellate cells (HSCs) communicate with all other liver cell types by physical association and / or by producing cytokines and chemokines. In liver disease and folllowing liver transplantation, elevated levels of endotoxin (bacterial lipopolysaccharide: LPS) stimulate HSCs to produce increased amounts of cytokines and chemokines. Transcriptomic analysis of cultured HSCs stimulated with LPS yields a survey of expression changes which potentially modulate the hepatic inflammatory and immune responses.

Publication Title

The transcriptomic response of rat hepatic stellate cells to endotoxin: implications for hepatic inflammation and immune regulation.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE61927
CMV-Specific CD8+ Memory T Cells Re-Emerge After Viral Challenge And Recapitulate CMV Immunity Under Various Adoptive Transfer Conditions
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Reconstitution of cytomegalovirus (CMV)-specific immunity following transplant remains a primary clinical objective to prevent CMV disease, and adoptive immunotherapy of CMV-specific T cells can be an effective therapeutic approach. Due to the persistence of CMV, most CMV-specific CD8+ T cells become terminally differentiated effector cells (TEFF). However, a minor subset retains a memory phenotype (TM). Interestingly, recent studies suggest that CMV-specific CD8+ T cells with different phenotypes may have different abilities to reconstitute sustained immunity following transfer. The immunology of human CMV (HCMV) infections is reflected in the mouse model of MCMV infection. We found that HCMV- and MCMV-specific T cells displayed shared genetic programs, validating the MCMV model for studies of CMV-specific T cells in vivo. After transfer, the proliferative capacity of MCMV-specific TM cells was vastly superior to TEFF cells. Strikingly, TM cells expanded and established sustained and diverse T cell populations even after multiple challenges. Although both TEFF and TM cells could protect Rag-/- mice, only TM cells could consistently survive after transfer into immune replete, latently infected recipients and respond if recipient immunity was lost. These data show that CMV-specific TM cells retain memory function during persistent infection and can re-establish CMV immunity when necessary.

Publication Title

Memory T cells specific for murine cytomegalovirus re-emerge after multiple challenges and recapitulate immunity in various adoptive transfer scenarios.

Sample Metadata Fields

Specimen part

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accession-icon GSE55594
Gene expression profiling of breast fibroadenomas
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Fibroadenomas are the most common benign breast tumors in women under 30. Unlike their malignant counterparts, relatively molecular profiling has been done on fibroadenomas. Here we performed gene expression profiling on ten fibroadenomas in order to better characterize these tumors. Through targeted amplicon sequencing, we have found that six of these tumors have MED12 mutations. We show that the MED12 mutations, among others, are associated with activated estrogen signaling, as well as increased invasiveness through upregulation of ECM remodelling genes.

Publication Title

Exome sequencing identifies highly recurrent MED12 somatic mutations in breast fibroadenoma.

Sample Metadata Fields

Age

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accession-icon GSE81986
An FFPE-based prognostic signature to predict metastasis in stage I/II microsatellite stable colorectal cancer
  • organism-icon Homo sapiens
  • sample-icon 294 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

A formalin-fixed paraffin-embedded (FFPE)-based prognostic signature to predict metastasis in clinically low risk stage I/II microsatellite stable colorectal cancer.

Sample Metadata Fields

Sex, Age

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accession-icon GSE81980
Expression data from early stage CRC patients' tumors [Affymetrix]
  • organism-icon Homo sapiens
  • sample-icon 150 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This study was conducted in order to identify biomarkers for a prognostic gene expression signature for metastases in early stage CRC.

Publication Title

A formalin-fixed paraffin-embedded (FFPE)-based prognostic signature to predict metastasis in clinically low risk stage I/II microsatellite stable colorectal cancer.

Sample Metadata Fields

Sex, Age

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accession-icon SRP063469
Effect of Asr1 RING mutation on the transcriptome of S. cerevisisae.
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

This analysis identified 27 genes that are induced, and 29 that are repressed, by a factor of two or more in Asr1RING mutant cells. Genes in each category did not cluster according to gene ontology or chromosome, but we did notice that 33% of genes in the induced set lie within 50 kb of a telomere. In contrast, for repressed genes, only 7% were similarly telomere-proximal. The induction of subtelomeric gene expression in Asr1RING mutant cells suggests that the Ub-ligase activity of Asr1 may be required for authentic patterns of subtelomeric gene silencing. Overall design: Transcriptome of WT and Asr1 RING mutant cells grown at log phase in enriched media.

Publication Title

Antagonistic roles for the ubiquitin ligase Asr1 and the ubiquitin-specific protease Ubp3 in subtelomeric gene silencing.

Sample Metadata Fields

Subject

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accession-icon GSE100935
Gene expression data of human gastric tumors
  • organism-icon Homo sapiens
  • sample-icon 61 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Tumors of advanced gastric cancer patients were biopsied and subjected to gene expression profiling using the Affymetrix Human Genome U133 Plus 2.0 Arrays. Patients were then segregated into G1, G2 or G3 groups based on their tumor genomic profiles. Patients in the G1 and G3 cohorts were assigned SOX (oxaliplatin plus S-1) chemotherapy whereas those in the G2 cohort were given SP (cisplatin plus S-1) regimen.

Publication Title

Real-Time Tumor Gene Expression Profiling to Direct Gastric Cancer Chemotherapy: Proof-of-Concept "3G" Trial.

Sample Metadata Fields

Specimen part

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accession-icon GSE51413
ST3GAL1-Associated Transcriptomic Program in Glioblastoma Tumor Growth, Invasion, and Prognosis
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

ST3GAL1-Associated Transcriptomic Program in Glioblastoma Tumor Growth, Invasion, and Prognosis.

Sample Metadata Fields

Disease stage

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accession-icon GSE51395
ST3GAL1-Associated Transcriptomic Program in Glioblastoma Tumor Growth, Invasion, and Prognosis
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Cell surface sialylation confers many roles in cancer biology including cell proliferation, invasiveness, metastasis and angiogenesis. We show here that ST3Gal1 sialyltransferase marks a self-renewing cellular fraction. Depletion of ST3GAL1 abrogates glioma cell growth and tumorigenicity. In contrast, TGFb induces ST3GAL1 expression and correlates with the pattern of ST3Gal1 activation in patient tumors of the mesenchymal molecular subtype. To delineate the downstream events of ST3Gal1 signaling, we utilized a bioinformatical approach that leveraged on the greater statistical power of large patient databases, and subsequently verified our predictions in patient-derived glioma cells. We identify FoxM1, a major stem cell regulatory gene, as a downstream effector, and show that ST3Gal1 mediates the glioma phenotype through control of FoxM1 protein degradation

Publication Title

ST3GAL1-Associated Transcriptomic Program in Glioblastoma Tumor Growth, Invasion, and Prognosis.

Sample Metadata Fields

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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Developed by the Childhood Cancer Data Lab

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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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