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accession-icon GSE51365
Latent gammaherpesvirus 68 infection induces distinct transcriptional changes in different organs
  • organism-icon Mus musculus
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Previous studies identified a role for latent herpesvirus infection in cross-protection to infection and exacerbation of chronic inflammatory diseases. Here, we compared the gene expression signature from livers, spleens and brains of mice infected with wild-type gammaherpesvirus 68 (MHV68), a mutant virus defective in the establishment of latency (ORF73.stop) or mockulum. We identified over 600 genes differentially expressed in organs of mice latently infected with MHV68 and found distinct sets of genes linked to different pathways were altered in spleen compared to liver. Several of the most differentially expressed latency-specific genes (e.g. IFN, Cxcl9, Ccl5) are associated with known latency-specific phenotypes.

Publication Title

Latent gammaherpesvirus 68 infection induces distinct transcriptional changes in different organs.

Sample Metadata Fields

Specimen part

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accession-icon GSE13335
Gene expression analysis of cells sensitive to necrosis (L929) and cells sensitive to apoptosis (NIH3T3).
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

To explore gene expression profiles of cells sensitive to necrosis (such as L929 cells) and those sensitive to apoptosis (such as NIH3T3 cells), we conducted expression microarray analysis of L929 cells and NIH3T3 cells.

Publication Title

Identification of a molecular signaling network that regulates a cellular necrotic cell death pathway.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP066440
Simultaneous pathway activity inference and global gene expression analysis using RNA-sequencing [myd88]
  • organism-icon Mus musculus
  • sample-icon 383 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Two 96-well plates per genotype wild type and Myd88 knockout, 4 hour time series in 0.5 hr increments Overall design: Myd88 BMDM transcriptional profiling to complement TF-seq data

Publication Title

Simultaneous Pathway Activity Inference and Gene Expression Analysis Using RNA Sequencing.

Sample Metadata Fields

Sex, Age, Specimen part, Cell line, Treatment, Subject, Time

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accession-icon SRP066443
Simultaneous pathway activity inference and global gene expression analysis using RNA-sequencing [halofuginone]
  • organism-icon Mus musculus
  • sample-icon 120 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Bone marrow derived macrophages treated with small molecules and stimulated with LPS Overall design: Wild-type BMDMs pretreated with small molecules for 30 minutes prior to stimulation with LPS

Publication Title

Simultaneous Pathway Activity Inference and Gene Expression Analysis Using RNA Sequencing.

Sample Metadata Fields

Sex, Age, Specimen part, Cell line, Treatment, Subject, Time

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accession-icon SRP066437
Simultaneous pathway activity inference and global gene expression analysis using RNA-sequencing [SM screen]
  • organism-icon Mus musculus
  • sample-icon 96 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Bone marrow derived macrophages treated with small molecules and stimulated with LPS Overall design: Wild-type BMDMs pretreated with small molecules for 30 minutes prior to stimulation with LPS

Publication Title

Simultaneous Pathway Activity Inference and Gene Expression Analysis Using RNA Sequencing.

Sample Metadata Fields

Sex, Age, Specimen part, Cell line, Treatment, Subject

View Samples
accession-icon GSE51541
Autophagy is essential for cardiac morphogenesis during vertebrate development
  • organism-icon Danio rerio
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Zebrafish Genome Array (zebrafish)

Description

This study examined the effects of genetic knockdown of autophagy genes on vertebrate cardiac development

Publication Title

Autophagy is essential for cardiac morphogenesis during vertebrate development.

Sample Metadata Fields

Age, Specimen part

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accession-icon SRP137147
Use single cell RNA sequencing to study the molecular siganature of primary human Megakaryocytic-erythroid progenitor
  • organism-icon Homo sapiens
  • sample-icon 149 Downloadable Samples
  • Technology Badge Icon

Description

Megakaryocytic-Erythroid Progenitors (MEP) produce circulating red blood cells and platelets. Although much is known regarding megakaryocytic (Mk) and erythroid (E) maturation, detailed molecular mechanisms underlying the MEP fate decision have not been determined. Single cell RNA sequencing of highly enriched populations of primary human common myeloid progenitors (CMP), MEP, megakaryocyte progenitors (MKP) and erythroid progenitors (ERP), revealed that MEP have a distinct molecular signature with co-expression of genes otherwise expressed exclusively in CMP, MKP or ERP. Cell cycle genes are significantly differentially expressed between MEP, MKP, and ERP. We therefore tested the effects on MEP fate of genetic and pharmacologic modulation of cell cycle progression, and found that cell cycle activity mechanistically controls MEP fate decisions; cell cycle activation promotes E whereas cell cycle inhibition promotes Mk specification. The data obtained from healthy cells can now be applied to the mechanisms underlying benign and malignant disease states of Mk and E production. Overall design: To address the heterogeneity of the MEP enriched population, we performed single-cell mRNA sequencing (scRNA-seq) of FACS-enriched MEP, MKP and ERP, and CMP. Specifically, we tested whether MEP have an expression signature that is distinct from CMP, MKP and ERP. Single cells were captured and lysed using the Fluidigm C1 platform and sequenced to more accurately identify and profile the transcriptome of multi-lineage cells. On average, there were 504,984 aligned reads per cell, with an average of 5,028 genes expressed (FPKM>0.1) per cell. We first performed an analysis of the scRNA-seq data from sorted CMP, MEP, MKP and ERP populations from a single PBSC donor (donor-1, n=246 cells). Unsupervised analysis with the recently described ICGS software identified separate major gene expression clusters for each of the sorted populations along with subdivisions of the CMP, MEP, MKP and ERP. To confirm the major gene expression clusters associated with the four sorted populations, we performed scRNA-Seq analysis of cells from a different donor (donor-2, n=294 cells) sorted using a complementary gating strategy, but running 1 plate of MEPs and 1 plate of a mix of 55% MKP and 45% ERP.

Publication Title

The Molecular Signature of Megakaryocyte-Erythroid Progenitors Reveals a Role for the Cell Cycle in Fate Specification.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE65270
Associations between host gene expression, the mucosal microbiome, and clinical outcome in the pelvic pouch of patients with inflammatory bowel disease.
  • organism-icon Homo sapiens
  • sample-icon 271 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Pouchitis is a common complication for ulcerative colitis (UC) patients with ileal pouch-anal anastomosis (IPAA) surgery. Similarly to IBD, both innate host factors such as genetics, and environmental stimuli including the tissue-associated microbiome have been implicated in the pathogenesis. In this study, we make use of the IPAA model of inflammatory bowel disease (IBD) to carry out a study associating mucosal host gene expression with the microbiome and corresponding clinical outcomes.

Publication Title

Associations between host gene expression, the mucosal microbiome, and clinical outcome in the pelvic pouch of patients with inflammatory bowel disease.

Sample Metadata Fields

Sex, Disease, Subject

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accession-icon SRP053053
Single cell time course of macrophages exposed to Salmonella enterica subsp. typhimurium
  • organism-icon Mus musculus
  • sample-icon 154 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We present a detailed single cell time course of the macrophage response to Salmonella infection. By combining phenotypic fluorescent labels with single cell expression analysis we are able to identify gene modules associated with bacterial exposure and bacterial infection. We also identify other genetic clusters that are expressed heterogenously, ananlyzing both their regulation and their impact on infection Overall design: Analysis of 192 single cells across 4 time points after Salmonella exposure (MOI 1:1) with one of three different fluorescent labels indicating whether a given cell contained no intracellular bacteria (non-fluorescent), contained dead intracellular bacteria (only pHrodo positive), or contained live intracellular bacteria (pHrodo and GFP positive)

Publication Title

Pathogen Cell-to-Cell Variability Drives Heterogeneity in Host Immune Responses.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP053054
Single cell analysis of macrophages exposed to beads coated with LPS from Salmonella enterica subsp. typhimurium
  • organism-icon Mus musculus
  • sample-icon 96 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We present a detailed single cell analysis of the macrophage response to LPS from Salmonella enterica. By combining single cell transcriptional analysis, fluorescently labeled, LPS-coated beads, and cytometry we are able to distinguish the responses of macrophages that have internalized LPS-coated beads and those that have not. Overall design: Analysis of 96 single macrophages that were either: left untreated, were exposed to but did not internalize uncoated beads, were exposed to and internalized uncoated beads, were exposed to but did not internalize LPS-coated beads, or were exposed to and did internalize LPS-coated beads.

Publication Title

Pathogen Cell-to-Cell Variability Drives Heterogeneity in Host Immune Responses.

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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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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