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accession-icon GSE21819
Caenorhabditis elegans infected with Staphylococcus aureus
  • organism-icon Caenorhabditis elegans
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix C. elegans Genome Array (celegans)

Description

Young adult fer-15;fem-1 Caenorhabditis elegans were infected with Staphylococcus aureus for 8 h to determine the transcriptional host response to Staphylococcus aureus. Analysis of differential gene expression in C. elegans young adults exposed to two different bacteria: E. coli strain OP50 (control), wild-type Staphylococcus aureus RN6390. Samples were analyzed at 8 hours after exposure to the different bacteria. These studies identified C. elegans genes induced by pathogen infection.

Publication Title

Distinct pathogenesis and host responses during infection of C. elegans by P. aeruginosa and S. aureus.

Sample Metadata Fields

Disease, Disease stage

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accession-icon GSE37266
Stimulation of Host Immune Defenses by a Small Molecule Protects C. elegans from Bacterial Infection
  • organism-icon Caenorhabditis elegans
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix C. elegans Genome Array (celegans)

Description

The nematode Caenorhabditis elegans offers currently untapped potential for carrying out high-throughput, live-animal screens of low molecular weight compound libraries to identify molecules that target a variety of cellular processes. We previously used a bacterial infection assay in C. elegans to identify 119 compounds that affect host-microbe interactions among 37,214 tested. We subsequently found that one of these small molecules, RPW-24, protects C. elegans from bacterial infection by stimulating the host immune response of the nematode. Using transcriptome profiling, epistasis pathway analyses with C. elegans mutants, and an RNAi screen, we showed that RPW-24 promotes resistance to Pseudomonas aeruginosa infection by inducing the transcription of a remarkably small number of C. elegans genes (~1.3% of all genes) in a manner that partially depends on the evolutionarily-conserved p38 MAP kinase pathway and the transcription factor ATF-7. These data demonstrated that the immunostimulatory activity of RPW-24 is required for its efficacy and define a novel C. elegans-based strategy to identify compounds with activity against antibiotic-resistant bacterial pathogens. Here we present the microarray data that were used to define the genes that are differentially regulated in wild-type nematodes following exposure to RPW-24.

Publication Title

Stimulation of host immune defenses by a small molecule protects C. elegans from bacterial infection.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE87052
NIPI-3 regulates the expression of C. elegans immune genes
  • organism-icon Caenorhabditis elegans
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix C. elegans Genome Array (celegans)

Description

Many pathogens secrete toxins that target key host processes resulting in the activation of immune pathways. The secreted Pseudomonas aeruginosa toxin Exotoxin A (ToxA) disrupts intestinal protein synthesis which triggers the induction of a subset of P. aeruginosa-response genes in the nematode Caenorhabditis elegans. We found that losing one ToxA-induced C. elegans gene, the Tribbles pseudokinase ortholog nipi-3, results in hypersusceptibility to both P. aeruginosa and ToxA. We determined that NIPI-3 mediates the post-developmental expression of intestinal immune genes and proteins and primarily functions in parallel to known immune pathways, including p38 PMK-1 MAPK signaling. Here we present the microarray data that was used to determine that (1) nipi-3 regulates immune gene expression and that (2) nipi-3 and pmk-1 regulate non-overlapping gene sets consistent with them functioning in parallel.

Publication Title

Tribbles ortholog NIPI-3 and bZIP transcription factor CEBP-1 regulate a Caenorhabditis elegans intestinal immune surveillance pathway.

Sample Metadata Fields

Specimen part

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accession-icon GSE63270
Expression profiles of normal hematopoietic stem and progenitor cells and acute myeloid leukemia sub-populations
  • organism-icon Homo sapiens
  • sample-icon 98 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Acute Myeloid Leukemia AML is a cancer in which the process of normal cell hematopoietic differentiation is disrupted. Evidence exists that AML comprises a hierarchy with leukemic stem cells giving rise to more differentiated, but immature and functionally incompetent populations. The similarity of these AML subpopulations to normal stages of hematopoietic differentiation has not been dissected comprehensively at the transcriptional level. Here we introduce Normal Memory Analysis (NorMA), a data analysis method that extracts from omic data the remnants of the healthy normal-like phenotype. Applying NorMA to gene expression data from AML uncovered a wealth of information in the normal-like component of data: the normal hematopoietic memory of AML tumor cells. We found significant variation within the patient population, and we found strong association of this normal hematopoietic memory with survival. We found that undifferentiated NorMA phenotype has significantly worse survival than differentiated NorMA phenotype, showing that the NorMA classification of tumors captures a biologically meaningful stratification of patients, with highly significant survival association. Patients with NorMA phenotype in the undifferentiated Hematopoietic Stem Cell HSC stage had the worst survival, with median survival time under 6 months. We further found significant survival differences between tumor groups with differentiated NorMA phenotype, depending on their hematopoietic path: AML patients with NorMA phenotype in megakaryocyte-erythroid progenitor MEP stage had significantly better survival than those with NorMA phenotype in granulocyte-macrophage progenitor GMP stage. Thus NorMA produced a stratification of AML cohorts by differentiation stage, with significant outcome differences. It also provided clean molecular signatures for these stages. NorMA can be used in many other contexts, to explore for example the tumor cell of origin, or disease predisposition.

Publication Title

An LSC epigenetic signature is largely mutation independent and implicates the HOXA cluster in AML pathogenesis.

Sample Metadata Fields

Specimen part

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accession-icon GSE138324
Expression array of mouse bone marrow-derived macrophages and osteoclasts
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.1 ST Array (mogene21st)

Description

In response to the cytokines, macrophage colony-stimulating factor and receptor activator of NF-kB ligand, monocyte precursors differentiate into bone marrow-derived macrophages (BMDMs) that ultimately fuse to form multi-nucleated osteoclasts, following a tightly controlled genetic program where specific sets of genes are differentially expressed.

Publication Title

Osteoclast-mediated bone resorption is controlled by a compensatory network of secreted and membrane-tethered metalloproteinases.

Sample Metadata Fields

Age, Specimen part, Time

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accession-icon GSE49629
Large-scale hypomethylated blocks associated with Epstein-Barr virus-induced B-cell immortalization
  • organism-icon Homo sapiens
  • sample-icon 9 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

Large-scale hypomethylated blocks associated with Epstein-Barr virus-induced B-cell immortalization.

Sample Metadata Fields

Specimen part, Time

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accession-icon GSE49628
Large-scale hypomethylated blocks associated with Epstein-Barr virus-induced B-cell immortalization [Expression Array]
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To determine what DNA methylation and gene expression changes occur following EBV transformation. B-cells were isolated from 3 donors. Resting, CD40 activated and EBV transfromed cells from each donor was analyzed. Each sample was assayed using Affymetrix expression arrays and whole genome bisulfite sequenicng. Additional time points during transformation and activation were sequenced as well, but not assayed for expression.

Publication Title

Large-scale hypomethylated blocks associated with Epstein-Barr virus-induced B-cell immortalization.

Sample Metadata Fields

Specimen part

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accession-icon GSE52980
Epigenome analysis of human epidermal and dermal samples with aging and sun exposure.
  • organism-icon Homo sapiens
  • sample-icon 16 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

Age and sun exposure-related widespread genomic blocks of hypomethylation in nonmalignant skin.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE67098
Expression data from epidermal samples
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression profiling of epidermal samples obtained from sun-exposed and sun-protected body sites from younger (<35 years old) and older (>60 years old) individuals. The Affymetrix U133A plus 2.0 array was used to obtain gene expression data. Samples included 4 younger sun exposed epidermal samples, 4 older sun exposed epidermal samples, 3 younger sun protected epidermal samples, 5 older sun protected epidermal samples.

Publication Title

Age and sun exposure-related widespread genomic blocks of hypomethylation in nonmalignant skin.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE27224
Donor cell type influences the epigenome and differentiation potential of human induced pluripotent stem cells
  • organism-icon Homo sapiens
  • sample-icon 8 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

Donor cell type can influence the epigenome and differentiation potential of human induced pluripotent stem 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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