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accession-icon GSE44234
Pdm1/nub repression of innate immunity
  • organism-icon Drosophila melanogaster
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

Innate immune responses rely on expression of potent effector molecules, such as antimicrobial peptides, which have the capability to kill invading microorganisms. The presence and recognition of microbial components triggers several signaling pathways, such as the Toll and IMD pathways, which in turn activate NF-kB/Rel transcription factors to induce transcription of a large number of immune system genes. Not much is known how these genes are kept silent in healthy flies in the presence of commensal microorganisms, and how the expression of immune defense genes is turned off. We found that several immune defense genes are constitutively active in nub[1] mutants, indicating that the POU domain transcription factor Pdm1/Nubbin may act as a repressor of immune gene expression.

Publication Title

The Oct1 homolog Nubbin is a repressor of NF-κB-dependent immune gene expression that increases the tolerance to gut microbiota.

Sample Metadata Fields

Specimen part

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accession-icon GSE32959
An integrative computational systems biology approach identifies differentially regulated dynamic transcriptome signatures which drive the initiation of human T helper cell differentiation
  • organism-icon Homo sapiens
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The aim of this dataset was to study in detail the transcription kinetics initiated by cytokines IL-12 and IL-4 in early differentiation of Th1 and Th2 cells, respectively.

Publication Title

An integrative computational systems biology approach identifies differentially regulated dynamic transcriptome signatures which drive the initiation of human T helper cell differentiation.

Sample Metadata Fields

Specimen part

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accession-icon GSE104819
Pseudomonas aeruginosa response to potable (tap) water and freshwater from a pond
  • organism-icon Pseudomonas aeruginosa
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Pseudomonas aeruginosa Array (paeg1a)

Description

Pseudomonas aeruginosa is a common bacterium in the terminal plumbing system of buildings and it is from this niche that a substantial fraction of infections are acquired. To better understand P. aeruginosa biology in this environment, we examined the transcriptomes in tap water and pond water.

Publication Title

Transcriptional Responses of Pseudomonas aeruginosa to Potable Water and Freshwater.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE10262
Expression data from Helicobacter pylori-infected mouse gastric epithelial progenitor and non-progenitor cells.
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Helicobacter pylori clinical isolates can establish themselves in gastric epithelial stem cells and this interaction may have implications for gastric tumorigenesis. Mouse gastric epithelial progenitor cells (mGEPs) and non-progenitor gastric epithelial cells (npGECs) were infected for 24hrs with Helicobacter pylori clinical isolates Kx1 and Kx2. Kx1 was isolated from a patient with chronic atrophic gastritis (ChAG) and Kx2 from the same patient 4 years later, when he progressed to gastric adenocarcinoma.

Publication Title

Helicobacter pylori evolution during progression from chronic atrophic gastritis to gastric cancer and its impact on gastric stem cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE89875
Expression data from budding yeast exposed to simulated asbestos mine drainage
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

Investigation of global gene expression changes in Saccharomyces cerevisiae strain NRRL Y-12632 (ATCC 18824) grown in media made with asbestos mine tailings-laden water compared to the control grown in media made with double distilled water

Publication Title

Microarray data and gene expression statistics for <i>Saccharomyces cerevisiae</i> exposed to simulated asbestos mine drainage.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE16440
Response of gastric epithelial progenitors to H. pylori isolates from Swedish patients with chronic atrophic gastritis
  • organism-icon Mus musculus, Helicobacter pylori
  • sample-icon 60 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

Response of gastric epithelial progenitors to Helicobacter pylori Isolates obtained from Swedish patients with chronic atrophic gastritis.

Sample Metadata Fields

Age, Specimen part, Treatment

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accession-icon GSE16390
Response of gastric epithelial progenitors to H. pylori isolates from Swedish patients with chronic atrophic gastritis 1
  • organism-icon Mus musculus
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Helicobacter pylori infection is associated with development of gastric adenocarcinoma in a subset of infected humans, especially those that develop an antecedent condition, chronic atrophic gastritis (ChAG) characterized by loss of acid-producing parietal cells. Studies in a gnotobiotic transgenic mouse model of ChAG, with an engineered ablation of parietal cells and an associated expansion of gastric epithelial progenitors (GEPs), have shown that a subset of GEPs is able to harbor intracellular collections of H. pylori. To better understand H. pyloris adaptation to ChAG, we sequenced the genomes of 24 isolates, obtained from 6 individuals, each sampled over a 4-year interval, as they maintained normal gastric histology, or progressed from normal histology to ChAG, or experienced worsening ChAG, or proceeded from ChAG to cancer. Analyses of gene content and single nucleotide polymorphisms (SNPs) demonstrated that H. pylori populations within study participants were largely clonal, and remarkably stable over the 4-year interval, regardless of disease state. Because they exhibited such broad inter-host variation (38.64.7 SNPs/1000bp of genome), and did not cluster according to host pathology, we sought to identify common functional properties by performing GeneChip studies of the responses of a cultured mouse gastric stem cell-like line (mGEPs) to infection with sequenced strains. The results yielded a shared 695-member set of genes differentially expressed after infection with ChAG-associated, but not normal or heat killed strains: 434 of these genes were also represented in dataset of responses to the cancer-associated strain. Ingenuity Pathway Analysis revealed that ChAG- and ChAG/cancer- associated responses were significantly enriched in genes associated with tumorigenesis in general, and gastric carcinogenesis in specific cases. Whole genome transcriptional profiling of a sequenced ChAG strain during mGEP infection disclosed a set of responses that included upregulation of hopZ, an adhesin belonging to a family of outer membrane proteins. Expression profiles of wild-type and hopZ strains revealed a number of pH-regulated genes affected by loss of HopZ, including HopP which binds sialylated glycans produced by GEPs in vivo. Genetic inactivation of hopZ produces a fitness defect in gnotobiotic transgenic mice but not their wild-type littermates. This study illustrates an approach for identifying GEP responses specific to ChAG, and bacterial genes important for survival in a gastric ecosystem that lacks parietal cells.

Publication Title

Response of gastric epithelial progenitors to Helicobacter pylori Isolates obtained from Swedish patients with chronic atrophic gastritis.

Sample Metadata Fields

Age, Specimen part, Treatment

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accession-icon SRP126945
RNA sequencing on LNCaP cells
  • organism-icon Homo sapiens
  • sample-icon 28 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

RNA sequencing on LNCaP cells was carried out to study how tunicamycin-induced gene expression is affected by knockdown of EIF2AK3 and ATF4. Overall design: Samples from the below setup (treatments protocol) were harvested from four independent experiments. RNA integrity of total RNA samples was assessed by Bioanalyzer. All samples had RIN = 9.7.

Publication Title

The kinase PERK and the transcription factor ATF4 play distinct and essential roles in autophagy resulting from tunicamycin-induced ER stress.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

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accession-icon GSE3860
Comparison of HutchinsonGilford Progeria Syndrome fibroblast cell lines to control fibroblast cell lines
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

HutchinsonGilford progeria syndrome (HGPS) is a rare genetic disease with widespread phenotypic features resembling premature aging. HGPS was recently shown to be caused by dominant mutations in the LMNA gene, resulting in the in-frame deletion of 50 amino acids near the carboxyl terminus of the encoded lamin A protein. Children with this disease typically succumb to myocardial infarction or stroke caused by severe atherosclerosis at an average age of 13 years. To elucidate further the molecular

Publication Title

Genome-scale expression profiling of Hutchinson-Gilford progeria syndrome reveals widespread transcriptional misregulation leading to mesodermal/mesenchymal defects and accelerated atherosclerosis.

Sample Metadata Fields

Cell line

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accession-icon SRP064004
Transplantation of gastric organoid-derived spasmolytic polypeptide/TFF2-expressing metaplasia (SPEM) cell lineage promotes ulcer repair in the aged stomach
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 1000

Description

Background & Aims: Spasmolytic polypeptide/TFF2-expressing metaplasia (SPEM) is known to emerge following parietal cell loss and during Helicobacter pylori infection, however its role in gastric ulcer repair is unknown. Therefore, we sought to investigate if SPEM plays a role in epithelial regeneration. Methods: Acetic acid ulcers were induced in young (2-3 months) C57BL/6 mice to determine the quality of ulcer repair. Gastric tissue was collected and analyzed to determine the expression of SPEM within the regenerating epithelium. As a comparison to native tissue the expression of SPEM was also identified within cultured gastric mouse-derived organoids. Results: Wound healing in the mice coincided with the emergence of SPEM expressing CD44v within the ulcerated region. The emergence of SPEM was also observed in cultured gastric organoids. Conclusions: These data demonstrate the SPEM may play a role in epithelial regeneration. Conclusions: These data demonstrate the SPEM may play a role in epithelial regeneration. Overall design: 4 samples were used for ulcerated and uninjured tissue. 1 sample was used for intact tissue and organoid-derived RNA. The 'Ulcerated' samples represent C57BL/6 mice with ulcers and the 'Uninjured' samples represent the healthy controls (for "ulcerated" samples). The "Intact stomach tissue" and "Gastric organoids" samples are other types of samples that compared separately. "Gastric organoids" in this comparison are derived from "Intact stomach tissue".

Publication Title

The Development of Spasmolytic Polypeptide/TFF2-Expressing Metaplasia (SPEM) During Gastric Repair Is Absent in the Aged Stomach.

Sample Metadata Fields

Specimen part, Cell line, 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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