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accession-icon GSE42569
Gene expression analysis of human CD4+ T cells differentiated into Th17 cells in the presence of high-salt
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Th17 cells are believed to be a critical cell population for driving autoimmune diseases. However, environmental factors that are directly related to the development of Th17 cells are largely unknown.

Publication Title

Sodium chloride drives autoimmune disease by the induction of pathogenic TH17 cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE65468
Analysis of Klf4 factor stoichiometry effects during iPS cell derivation from mouse embryonic fibroblasts
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Oct3/4, Sox2, Klf4, and c-Myc re-wire somatic cells to achieve induced pluripotency (iPS cells). However, subtle differences in reprogramming methodology may confound comparative studies of reprogramming-induced gene expression changes. We specifically focused on the design of polycistronic reprogramming constructs, which encode all four factors linked with 2A peptides. Notably, publically available cassettes were found to employ one of two Klf4 variants (Klf4S and Klf4L; GenBank Accession Nos: AAC52939.1 and AAC04892.1), differing only by nine N-terminal amino acids. In a polycistronic context, these two variants generated dissimilar protein stoichiometry, where Klf4L vectors produced more Klf4 protein than those encoding Klf4S.

Publication Title

KLF4 N-terminal variance modulates induced reprogramming to pluripotency.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE87397
The role of dihydropyridines on murine microglial cells
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Effects of treatment with Nimodipine on N9 cells

Publication Title

Nimodipine fosters remyelination in a mouse model of multiple sclerosis and induces microglia-specific apoptosis.

Sample Metadata Fields

Treatment

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accession-icon GSE37067
Pluripotent Stem Cells Escape From Senescence-Associated DNA Methylation Changes
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Induced pluripotent mesenchymal stromal cell clones retain donor-derived differences in DNA methylation profiles.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE87287
mRNA exrpession patterns in response to RelA siRNA
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The experiment aims to identify mRNAs regulated in response to RelA

Publication Title

Role of CCL20 mediated immune cell recruitment in NF-κB mediated TRAIL resistance of pancreatic cancer.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE38806
Gene expression profiles of induced pluripotent mesenchymal stromal cells [Affymetrix]
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Reprogramming of somatic cells into induced pluripotent stem cells (iPSC) is an epigenetic phenomenon. We have reprogrammed mesenchymal stromal cells (MSC) from human bone marrow by retrovirus-mediated overexpression of OCT-3/4, SOX2, c-MYC, and KLF4. This series summarizes gene expression profiles of eight iP-MSC clones derived from three different donors. These datasets were subsequently used for PluriTest analysis (Muller FJ, Schuldt B et al., Nat. Methods 2011; 8: 315-317) demonstrating that all iP-MSC clones were clearly associated with pluripotent cells.

Publication Title

Induced pluripotent mesenchymal stromal cell clones retain donor-derived differences in DNA methylation profiles.

Sample Metadata Fields

Specimen part

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accession-icon GSE20335
Expression analysis data from large T antigen-immortalized murine embryonic fibroblasts (MEFs)
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Microarrays were used to examine the genome-wide expression in FIH null, VHL null and VHL/FIH double null MEFs.

Publication Title

The asparaginyl hydroxylase factor inhibiting HIF-1alpha is an essential regulator of metabolism.

Sample Metadata Fields

Specimen part

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accession-icon GSE81399
Expression data from Dmp1-Cre targeted and non-targeted Cxcl12-abundant reticular (CAR) cells in mouse bone marrow
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

In mouse bone marrow, mesenchymal stem cells (MSC) has the potential to form osteocytes, adipocytes and cartilage. In the process of osteogenesis, MSCs differenetiate into stromal cells, such as CAR cells. Osteoblast is responsible for the formation of osteocytes and osteoblasts may be differentiated from a subset of CAR cells. Dmp1-Cre targeted CAR cells are thought to enrich for a osteoblast progenitor population.

Publication Title

Targeting of Mesenchymal Stromal Cells by Cre-Recombinase Transgenes Commonly Used to Target Osteoblast Lineage Cells.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE84513
Expression data comparing murine AE9a high and AE9a low expressing hematopoietic cells
  • organism-icon Mus musculus
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Microarray analysis was performed to examine potential differences in target gene expression of AE9a expressing low cells compared to AE9a expressing high cells. Potential contributing factors to AE9a induced leukemia were investigated.

Publication Title

Supraphysiologic levels of the AML1-ETO isoform AE9a are essential for transformation.

Sample Metadata Fields

Specimen part

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accession-icon SRP068706
RNA-sequencing of single whole cells and nuclei from mouse dentate granule cells
  • organism-icon Mus musculus
  • sample-icon 201 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Single-cell sequencing methods have emerged as powerful tools for identification of heterogeneous cell types within defined brain regions. Application of single-cell techniques to study the transcriptome of activated neurons can offer insight into molecular dynamics associated with differential neuronal responses to a given experience. Through evaluation of common whole-cell and single-nuclei RNA-sequencing (snRNA-seq) methods, here we show that snRNA-seq faithfully re-capitulates transcriptional patterns associated with experience-driven induction of activity, including immediate early genes (IEGs) such as Fos, Arc, and Egr1. SnRNA-seq of mouse dentate granule cells reveals large-scale changes in the activated neuronal transcriptome after brief novel environment exposure, including induction of MAPK pathway genes . In addition, we observe a continuum of activation states, revealing a pseudo-temporal pattern of activation from gene expression alone. In summary, snRNA-seq of activated neurons enables the examination of gene expression beyond IEGs,allowing for novel insights into neuronal activation patterns in vivo. Overall design: Examination of 1) 82 whole-cell (WC) dentate granule cells from a PTZ- or saline-treated mouse, and 2) 23 single-nuclei (SN) from dentate granule cells of a homecage (HC) mouse or 96 nuclei from a mouse exposed to a novel environment (NE)

Publication Title

Nuclear RNA-seq of single neurons reveals molecular signatures of activation.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

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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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