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accession-icon GSE111184
Transcriptional effects of Deoxynivalenol on intestinal porcine epithelial cells (IPEC-J2)
  • organism-icon Sus scrofa
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

in vitro microarray study of transcriptional changes of jejunal cells

Publication Title

Deoxynivalenol Affects Cell Metabolism and Increases Protein Biosynthesis in Intestinal Porcine Epithelial Cells (IPEC-J2): DON Increases Protein Biosynthesis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE111185
Transcriptional effects of Deoxynivalenol on intestinal porcine epithelial cells (IPEC-J2) under low glucose condition
  • organism-icon Sus scrofa
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

in vitro microarray study of transcriptional changes of jejunal cells

Publication Title

Deoxynivalenol Affects Cell Metabolism and Increases Protein Biosynthesis in Intestinal Porcine Epithelial Cells (IPEC-J2): DON Increases Protein Biosynthesis.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE33246
Gene Regulation of Intestinal Porcine Epithelial Cells IPECJ2 is Dependent on the Site of Deoxynivalenol Toxicological Action
  • organism-icon Sus scrofa
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

Here we analysed different mechanisms of apical and basolateral deoxynivalenol (DON) toxicity reflected in the gene expression.

Publication Title

Gene regulation of intestinal porcine epithelial cells IPEC-J2 is dependent on the site of deoxynivalenol toxicological action.

Sample Metadata Fields

Treatment

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accession-icon GSE67407
Comparing two intestinal porcine epithelial cell lines (IPECs): global expression patterns to characterise a in vitro model of intestinal physiology
  • organism-icon Sus scrofa
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

The intestinal epithelial cell lines 1 and J2 (IPEC-1, IPEC-J2) - spontaneously immortalised cell lines from the porcine intestine - are important tools for studying intestinal function. Microarrays (GeneChip Porcine Genome Array) were used to compare the expression pattern at basal in vitro conditions. Expression analyses complemented by morphological, functional and biochemical analyses revealed that IPEC-J2 is a morphologically and functionally more differentiated cell line in comparison to IPEC-1. In addition, IPEC-2 cells are a preferential tool for in vitro studies with the focus on metabolism.

Publication Title

Comparing Two Intestinal Porcine Epithelial Cell Lines (IPECs): Morphological Differentiation, Function and Metabolism.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE93720
Transcriptional responses of human synovial fibroblasts to TNF and TNF+IL-17
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Identify transcriptional factors responsible for cytokine and chemokine production by fibroblasts

Publication Title

Autocrine Loop Involving IL-6 Family Member LIF, LIF Receptor, and STAT4 Drives Sustained Fibroblast Production of Inflammatory Mediators.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE21419
Laser Capture Microdissection of Hyperlipidemic Mouse Aorta Atherosclerosis
  • organism-icon Mus musculus
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302), Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Atherosclerosis is a transmural chronic inflammatory condition of small and large arteries that is associated with adaptive immune responses at all disease stages. However, impacts of adaptive immune reactions on clinically apparent atherosclerosis such as intima lesion (plaque) rupture, thrombosis, myocardial infarction, and aneurysm largely remain to be identified. It is increasingly recognized that leukocyte infiltrates in plaque, media, and adventitia are distinct but their specific roles have not been defined. To map these infiltrates, we employed laser capture microdissection (LCM) to isolate the three arterial wall laminae using apoE-/- mouse aorta as a model. RNA from LCM-separated tissues was extracted and large scale whole genome expression microarrays were prepared. We observed that the quality of the resulting gene expression maps was compromised by tissue RNA carried over from adjacent laminae during LCM. To account for these flaws, we established quality controls and algorithms to improve the predictive power of LCM-derived microarray data. Our approach creates robust transcriptome atlases of normal and atherosclerotic aorta. Assessing LCM transcriptomes for immunity-related mRNAs indicated markedly distinctive gene expression patterns in the three laminae of the atherosclerotic aorta. These mouse mRNA expression data banks can now be mined to address a wide range of questions in cardiovascular biology.

Publication Title

The lamina adventitia is the major site of immune cell accumulation in standard chow-fed apolipoprotein E-deficient mice.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE79599
Overexpression of trophoblast stem cell-enriched microRNAs promote trophoblast fate in embryonic stem cells.
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The role of microRNAs (miRNA) in first cell fate choice of the preimplantation mouse embryo remains unresolved, as gene expression and knockout data are conflicting. This cell fate choice generates the extraembryonic lineage of the trophoblast and the embryonic lineage of the epiblast (inner cell mass). The trophoblast differentiates into polar and mural cells, where polar cells contribute to placental development and mural cells to the implantation process and Reicherts membrane. The inner cell mass further differentiates into the epiblast and primitive endoderm. We used stem cell lines that can be derived from the trophoblast and epiblast lineages to address the role of miRNAs in early lineage cell fate specification and determination. Using embryonic stem cells (ESC) and trophoblast stem cells (TSC) as starting and ending states of cell development we identified a network of TSC expressed miRNAs that are enriched in ESC targets mRNA. We used constitutive and inducible expression of TSC enriched miRNAs in ESC and show that they can drive cell morphology and gene expression profiles similar to trophoblast. Additionally we show that this process required HDAC2 inhibition and is miRNA specific, as cardiac specific miR-1 could not induce trophoblast under these conditions. In contrast to embryo derived and Cdx2 induced trophoblast cells, miRNAs promote a mural TE like cell phenotype. Transplantation into preimplantation mouse embryos showed that miRNA-induced trophoblast preferentially contributes to the mural trophoblast in both the blastocyst and the Reicherts membrane. Our data support a role for miRNAs and HDACs in the specification of the trophoblast and potentially the polar and mural cell types.

Publication Title

Overexpression of Trophoblast Stem Cell-Enriched MicroRNAs Promotes Trophoblast Fate in Embryonic Stem Cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE109450
Functionally distinct disease-associated fibroblast subsets in rheumatoid arthritis
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Functionally distinct disease-associated fibroblast subsets in rheumatoid arthritis.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage, Subject

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accession-icon GSE107105
Microarray analysis of freshly isolated synovial fibroblast subsets in patients with rheumatoid arthritis or osteoarthritis
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Transcriptomics of distinct subpopulations of synovial fibroblasts from osteoarthritis and rheumatoid arthritis arthroplasty tissues.

Publication Title

Functionally distinct disease-associated fibroblast subsets in rheumatoid arthritis.

Sample Metadata Fields

Sex, Age, Disease

View Samples
accession-icon GSE58866
Expression data of rat insulinoma cells induced with ER stress +/- IRE1 inhibitor treatment
  • organism-icon Rattus norvegicus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

The Akita mutation (C96Y) in the insulin gene results in early onset diabetes in both humans and mice. Expression of the mutant proinsulin (C96Y) causes endoplasmic reticulum (ER) stress in pancreatic -cells and consequently the cell activates the unfolded protein response (UPR). Since the proinsulin is terminally misfolded however, the ER stress is irremediable and chronic activation of the UPR eventually activates apoptosis in the cell population.

Publication Title

IRE1 inhibition perturbs the unfolded protein response in a pancreatic β-cell line expressing mutant proinsulin, but does not sensitize the cells to apoptosis.

Sample Metadata Fields

Specimen part, Cell line

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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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