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accession-icon GSE16547
KSHV Manipulates Notch Signaling by Upregulating Dll4 and JAG1 to Alter Cell Cycle Gene Expression in LECs
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Kaposi sarcoma is the most common cancer in AIDS patients and is typified by red skin lesions. The disease is caused by the KSHV virus (HHV8) and is recognizable by its distinctive red skin lesions. The lesions are KSHV infected spindle cells, most commonly the lymphatic endothelial and blood vessel endothelial cells (LEC and BEC), plus surrounding stroma. Here we examine KSHVs modulation of Notch signaling using wild-type LEC cells co-cultured with DLL4 and JAG1 expressing LEC cells.

Publication Title

KSHV manipulates Notch signaling by DLL4 and JAG1 to alter cell cycle genes in lymphatic endothelia.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP179997
RNAseq profiling of miR-132/212-deficient CD4+ T cells activated in vitro and in vivo.
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 3000

Description

Transcriptomic profiling of miR-132/212-deficient and WT CD4 T cells isolated from spleens of L donovani infected mice (d28) to determine the effects of miR-132/212 on CD4 T cell activation in vivo. This was combined by transcriptomic analysis of early stage in vitro activated WT and miR-132/212-deficient CD4 T cells to identify direct miR-132/212 targets in CD4 T cells. Overall design: Examination of expression profiles of splenic CD4+ T cells from L. donovani-infected WT (samples 1-4) and miR-132/212-/- mice (samples 5-9) using RNASeq. This was followed by similar RNASeq in naïve CD4+ T-cells in WT and miR-132/212 -/- mice prior to and following 18h of in vitro TCR stimulation under Th1 conditions (samples 10-25).

Publication Title

<i>Malat1</i> Suppresses Immunity to Infection through Promoting Expression of Maf and IL-10 in Th Cells.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon GSE26697
Transcriptomic response of murine liver to severe injury and hemorrhagic shock
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Transcriptomic response of murine liver to severe injury and hemorrhagic shock: a dual-platform microarray analysis.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE26695
Transcriptomic response of murine liver to severe injury and hemorrhagic shock: Affymetrix portion of dual platform
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

A dual platform microarray analysis was used to characterize the temporal transcriptomic response in the mouse liver following trauma and hemmorhagic shock

Publication Title

Transcriptomic response of murine liver to severe injury and hemorrhagic shock: a dual-platform microarray analysis.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE16357
Effects of HHV8 infection in lymphatic endothelial cells
  • organism-icon Homo sapiens
  • sample-icon 36 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

KSHV-encoded miRNAs target MAF to induce endothelial cell reprogramming.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE16354
Infection of Lymphatic and Blood Vessel Endothelial Cells (LEC and BEC) with KSHV
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Kaposi sarcoma is the most common cancer in AIDS patients and is typified by red skin lesions. The disease is caused by the KSHV virus (HHV8) and is recognisable by its distinctive red skin lesions. The lesions are KSHV-infected spindle cells, most commonly the lymphatic endothelial and blood vessel endothelial cells (LEC and BEC), plus surrounding stroma. The effects of KSHV infection of both LEC and BEC were assayed using Affymetrix hgu133plus2 chips at 72 hours post infection.

Publication Title

KSHV-encoded miRNAs target MAF to induce endothelial cell reprogramming.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE16355
Lymphatic endothelial cells (LEC) transfected with the KSHV microRNA cluster
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Kaposi sarcoma is the most common cancer in AIDS patients and is typified by red skin lesions. The disease is caused by the KSHV virus (HHV8) and is recognisable by its distinctive red skin lesions. The lesions are KSHV-infected spindle cells, most commonly the lymphatic endothelial and blood vessel endothelial cells (LEC and BEC), plus surrounding stroma. The KSHV virus expresses multiple microRNA in a single cluster. Here we test the effects of this KSHV microRNA cluster in LEC cells using Affymetrix hgu133plus2 chips.

Publication Title

KSHV-encoded miRNAs target MAF to induce endothelial cell reprogramming.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE16356
Lymphatic endothelial cells (LEC) treated with a MAF-targeted siRNA
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Kaposi sarcoma is the most common cancer in AIDS patients and is typified by red skin lesions. The disease is caused by the KSHV virus (HHV8) and is recognisable by its distinctive red skin lesions. The lesions are KSHV-infected spindle cells, most commonly the lymphatic endothelial and blood vessel endothelial cells (LEC and BEC), plus surrounding stroma. The KSHV virus expresses multiple MAF-downregulating microRNA. Here we test the effects of MAF silencing by siRNA in LEC cells using Affymetrix hgu133plus2 chips.

Publication Title

KSHV-encoded miRNAs target MAF to induce endothelial cell reprogramming.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP166967
Single cell sequencing of mouse syngeneic tumor models
  • organism-icon Mus musculus
  • sample-icon 48 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Tumor ecosystems are composed of multiple cell types that communicate by ligand-receptor interactions. Targeting ligand-receptor interactions, for instance with immune check-point inhibitors, can provide significant benefit for patients. However, our knowledge of which interactions occur in a tumor and how these interactions affect outcome is still limited. We present an approach to characterize communication by ligand-receptor interactions across all cell types in a microenvironment using single-cell RNA sequencing. We apply this approach to identify and compare ligand-receptor interactions present in six syngeneic mouse tumor models. To identify interactions potentially associated with outcome, we regress interactions against phenotypic measurements of tumor growth rate. In addition, we quantify ligand-receptor interactions between T-cell subsets and their relation to immune infiltration using a publicly available human melanoma data-set. Overall, this approach provides a tool for studying cell-cell interactions, their variability across tumors, and their relationship to outcome. Overall design: We used three different types of immuno-competent inbred mouse strains: BALB/c, and A/J z. All animals enrolled in our study were 6-8 weeks old female mice that were housed in vivarium under specific pathogen free conditions in cages of up to 5 animals and receiving special rodent diet (Teklad). We implanted two mice for each syngeneic model resulting in a total of 12 samples. Each mouse tumor was harvested when the tumor size reached 100 – 200 mm3. Each sample was minced and digested with reagents from Mouse Tumor Dissociation Kit (Miltenyi) according to the manufacturer's instructions. Cells were resuspended at 2x105 cells/mL in PBS-0.04% BSA. Each sample was processed individually and run in technical duplicates. For each sample (except CT26 and MC-38) one replicate was enriched for CD45 positive cells. Live CD45 positive cells were sorted with BD Aria after staining with FITC-CD45 (Biolegend) and 7-AAD. Single cell suspensions of all samples were resuspended in PBS-0.04% BSA at 5x105 cells/mL and barcoded with a 10x Chromium Controller (10x Genomics). In total, this procedure resulted in 24 samples.

Publication Title

Analysis of Single-Cell RNA-Seq Identifies Cell-Cell Communication Associated with Tumor Characteristics.

Sample Metadata Fields

Cell line, Subject

View Samples
accession-icon GSE7897
Expression data from Mouse Lymphoma
  • organism-icon Mus musculus
  • sample-icon 57 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

We have made use of the E-myc transgenic mouse, a model for the study of B-cell lymphoma development that is initiated through a defined genetic alteration, to explore the contributions of additional somatic alterations that contribute to the heterogeneity of the resulting tumors. As one example of such heterogeneity, we have focused on the observation that lymphomas develop in E-myc mice with a variable time of onset. Twenty-five early-onset, 25 late-onset lymphomas and 10 normal samples were each assayed on an Affymetrix Mouse Genome 430 2.0 array.

Publication Title

Utilization of pathway signatures to reveal distinct types of B lymphoma in the Emicro-myc model and human diffuse large B-cell lymphoma.

Sample Metadata Fields

No sample metadata fields

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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