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accession-icon GSE44541
Expression data from antimycin A-treated BE(2)-C cells
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Analysis of transcription response of undifferentiated human BE(2)-C neuronal cells to stimulation with purified antimycin A1a or unfractionated commercially available antimycin A (Sigma A8674).

Publication Title

Discovery of potent broad spectrum antivirals derived from marine actinobacteria.

Sample Metadata Fields

Specimen part

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accession-icon GSE51909
Expression data from 205432- or 206381-treated BE(2)-C cells
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Analysis of transcription response of undifferentiated human BE(2)-C neuronal cells to stimulation with novel indole-2-carboxamide antivirals 205432 or 206381.

Publication Title

Novel indole-2-carboxamide compounds are potent broad-spectrum antivirals active against western equine encephalitis virus in vivo.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE27888
Comparative transcriptome analysis of APPs-DM and APLP2-KO brains
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Despite its key role in Alzheimer pathogenesis, the physiological function(s) of the amyloid precursor protein (APP) and of its proteolytic fragments are still poorly understood. The secreted APPs ectodomain has been shown to be involved in neuroprotection and synaptic plasticity. The -secretase generated APP intracellular domain, AICD, functions as a transcriptional regulator in heterologous reporter assays although its role for endogenous gene regulation has remained controversial. Previously, we have generated APPs knockin (KI) mice expressing solely the secreted ectodomain APPs. Here, we generated double mutants (APPs-DM) by crossing APPs-KI mice onto an APLP2-deficient background and show that APPs rescues the postnatal lethality of the majority of APP/APLP2 double knockout mice. Despite normal CNS morphology and unaltered basal synaptic transmission, young APPs-DM mice already showed pronounced hippocampal dysfunction, impaired spatial learning and a deficit in LTP. To gain further mechanistic insight into which domains/proteolytic fragments are crucial for hippocampal APP/APLP2 mediated functions, we performed a DNA microarray transcriptome profiling of prefrontal cortex and hippocampus of adult APLP2-KO (APLP2-/-) and APPs-DM mice (APP/APLP2-/- mice).Interestingly, this analysis failed to reveal major genotype-related transcriptional differences. Expression differences between cortex and hippocampus were, however, readily detectable.

Publication Title

APP and APLP2 are essential at PNS and CNS synapses for transmission, spatial learning and LTP.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE7007
Ewing samples and EWS-FLI-1 inhibited Ewing cell lines
  • organism-icon Homo sapiens
  • sample-icon 39 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The cellular origin of Ewing tumor (ET), a tumor of bone or soft tissues characterized by specific fusions between EWS and ETS genes, is highly debated. Through gene expression analysis comparing ETs with a variety of normal tissues, we show that the profiles of different EWS-FLI1-silenced Ewing cell lines converge toward that of mesenchymal stem cells (MSC). Moreover, upon EWS-FLI1 silencing, two different Ewing cell lines can differentiate along the adipogenic lineage when incubated in appropriate differentiation cocktails. In addition, Ewing cells can also differentiate along the osteogenic lineage upon long-term inhibition of EWS-FLI1. These in silico and experimental data strongly suggest that the inhibition of EWS-FLI1 may allow Ewing cells to recover the phenotype of their MSC progenitor.

Publication Title

Mesenchymal stem cell features of Ewing tumors.

Sample Metadata Fields

Specimen part

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accession-icon GSE137985
Mouse limb and respiratory muscle show distinct cachexia profiles in response to human pancreatic tumors
  • organism-icon Mus musculus
  • sample-icon 50 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Distinct cachexia profiles in response to human pancreatic tumours in mouse limb and respiratory muscle.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE137979
Mouse limb and respiratory muscle show distinct cachexia profiles in response to human pancreatic tumors II
  • organism-icon Mus musculus
  • sample-icon 50 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Background: Cancer cachexia is a life-threatening metabolic syndrome that causes significant loss of skeletal muscle mass and significantly increases mortality in cancer patients. Currently, there is an urgent need for better understanding of the molecular pathophysiology of this disease, so that effective therapies can be developed. Almost all pre-clinical studies evaluating skeletal muscle’s response to cancer have focused on one or two pre-clinical models, and almost all have focused specifically on limb muscles. In the current study, we reveal key differences in the histology and transcriptomic signatures of a limb muscle and a respiratory muscle in orthotopic pancreatic cancer patient-derived xenograft (PDX) mice. Methods: To create the four cohorts of PDX mice evaluated in this study, tumors resected from four pancreatic ductal adenocarcinoma (PDAC) patients were portioned and attached to the pancreas of immunodeficient NSG mice. Results: Body weight, muscle mass, and fat mass were significantly decreased in each PDX line. Histological assessment of cryosections taken from the tibialis anterior (TA) and diaphragm (DIA) revealed differential effects of tumor-burden on their morphology. Subsequent genome-wide microarray analysis on TA and DIA revealed key differences between their transcriptomes in response to cancer as well. Indeed, upregulated genes in the diaphragm were enriched for extracellular matrix (ECM) protein-encoding genes and genes related to the inflammatory response, and downregulated genes were enriched for mitochondria related protein-encoding genes. Conversely, the TA showed upregulation of canonical atrophy-associated pathways such as ubiquitin-mediated protein degradation and apoptosis and enrichment of downregulated genes encoding ECM proteins. Conclusions: These data suggest that distinct biological processes account for wasting in different skeletal muscles in response to the same tumor burden. Further investigation into these differences will be critical for the future development of effective clinical strategies to counter cancer cachexia.

Publication Title

Distinct cachexia profiles in response to human pancreatic tumours in mouse limb and respiratory muscle.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE37416
Gene expression data from F. tularensis-exposed neutrophils
  • organism-icon Homo sapiens
  • sample-icon 46 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We demonstrated recently that both constitutive and FAS-triggered apoptosis of human neutrophils are profoundly impaired by Francisella tularensis, but how this is achieved is largely unknown. To test the hypothesis that changes in neutrophil gene expression contribute to this phenotype, we used human oligonucleotide microarrays to identify differentially regulated genes in cells infected with F. tularensis strain LVS compared with uninfected controls.

Publication Title

Francisella tularensis alters human neutrophil gene expression: insights into the molecular basis of delayed neutrophil apoptosis.

Sample Metadata Fields

Specimen part, Time

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accession-icon GSE157801
Expression of germinal center T follicular helper (GC-Tfh) cells and pre-Tfh cells from tonsils (Tons) and follicular lymphoma lymph nodes (FL).
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

GEP on Affymetrix Genechip HTA 2.0 microarrays was performed on ex vivo cell-sorted GC-Tfh and pre-Tfh from TONS and FL

Publication Title

Human Lymphoid Stromal Cells Contribute to Polarization of Follicular T Cells Into IL-4 Secreting Cells.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE54653
Expression data from quiescent and activated neural stem cells from the adult mouse V-SVZ niche
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

RNA was purified from GFAP::GFP+CD133+ and GFAP::GFP+CD133+EGFR+ cells isolated from the adult mouse V-SVZ niche (GFAP::GFP mice, Jackson Mice Stock number 003257)

Publication Title

Prospective identification and purification of quiescent adult neural stem cells from their in vivo niche.

Sample Metadata Fields

Specimen part

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accession-icon GSE157784
Expression data of human stromal cells isolated from tonsils
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

GEP on Affymetrix U133+2.0 microarrays was performed on in vitro expanded stromal cells

Publication Title

Human Lymphoid Stromal Cells Contribute to Polarization of Follicular T Cells Into IL-4 Secreting Cells.

Sample Metadata Fields

Specimen part

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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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