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accession-icon GSE106260
Immunopathology of childhood celiac disease-Key role of intestinal epithelial cells
  • organism-icon Homo sapiens
  • sample-icon 52 Downloadable Samples
  • Technology Badge IconIllumina HumanRef-8 v3.0 expression beadchip, Illumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Immunopathology of childhood celiac disease-Key role of intestinal epithelial cells.

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE103374
Gene expression assessed by genome wide hybridization bead array in T84 polarized tight monolayers after challenge with celiac disease-associated bacteria and gluten [CTR glut bmix, bmix and gluten]
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Analysis of the influence of celiac disease-associated bacteria and gluten on intestinal epithelial cells

Publication Title

Immunopathology of childhood celiac disease-Key role of intestinal epithelial cells.

Sample Metadata Fields

Cell line, Treatment

View Samples
accession-icon GSE103100
Gene expression assessed by genome wide hybridization bead array in T84 polarized tight monolayers after challenge with celiac disease-associated bacteria and gluten [A grav, Bmix Bmix glut]
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Analysis of the influence of celiac disease-associated bacteria and gluten on intestinal epithelial cells

Publication Title

Immunopathology of childhood celiac disease-Key role of intestinal epithelial cells.

Sample Metadata Fields

Cell line, Treatment

View Samples
accession-icon GSE103107
Gene expression assessed by genome wide hybridization bead array in T84 polarized tight monolayers after challenge with celiac disease-associated bacteria [CTR 22 28 27]
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Analysis of the influence of celiac disease-associated bacteria on intestinal epithelial cells

Publication Title

Immunopathology of childhood celiac disease-Key role of intestinal epithelial cells.

Sample Metadata Fields

Cell line, Treatment

View Samples
accession-icon GSE102993
Gene expression assessed by genome wide hybridization bead array in intraepithelial lymphocytes (IELs) isolated from small intestinal biopsies of celiac disease patients with active disease and clinical controls
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HumanRef-8 v3.0 expression beadchip

Description

Analysis of role of small intestinal intraepithelial lymphocytes (IELs) in the immunopathology of celiac disease

Publication Title

Immunopathology of childhood celiac disease-Key role of intestinal epithelial cells.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE102991
Gene expression assessed by genome wide hybridization bead array in intestinal epithelial cells (IECs) isolated from small intestinal biopsies of celiac disease patients with active disease and clinical controls
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HumanRef-8 v3.0 expression beadchip

Description

Analysis of role of small intestinal epithelial cells (IECs) in the immunopathology of celiac disease

Publication Title

Immunopathology of childhood celiac disease-Key role of intestinal epithelial cells.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP123229
Characterization of DCL4 missense alleles provides novel insights into its ability to process distinct classes of dsRNA substrates
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

In the model plant Arabidopsis thaliana, four Dicer-like proteins (DCL1-4) mediate the production of various classes of small RNAs (sRNAs). Among these four proteins, DCL4 is by far the most versatile RNaseIII-like enzyme and previously identified dcl4 missense alleles were shown to uncouple the production of the various classes of DCL4-dependent sRNAs. Yet, little is known about the molecular mechanism pertaining this uncoupled production. Here, by studying the subcellular localization, interactome and binding to the sRNA precursors of three distinct dcl4 missense alleles, we simultaneously highlight the absolute requirement of its helicase domain for efficient production of all DCL4-dependent sRNAs, and identify an important determinant of DCL4 versatility within its PAZ domain that is mandatory for efficient processing of intramolecular foldback dsRNA precursors but dispensable for the production of siRNAs from RDR-dependent dsRNA susbtrates. This study not only provides novel insights into DCL4 mode of action in plants but also delineates interesting tools to further study the complexity of plant RNA silencing pathways. Overall design: RNA library of immunoprecipitated RNA from Col-0 (WT), pDCL4-DCL4-6:FHA/dcl4-2 and pDCL4-DCL4-8:FHA/dcl4-2 Arabidopsis flowers or seedlings were generated by deep sequencing, using Illumina HiSeq 2500 v4.

Publication Title

Characterization of DCL4 missense alleles provides insights into its ability to process distinct classes of dsRNA substrates.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE20967
Gene expression profiling of vasoregression in the retina
  • organism-icon Rattus norvegicus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Vasoregression is a hallmark of vascular eye diseases but the mechanisms involved are still largely unknown. We have recently characterized a rat ciliopathy model which develops primary photoreceptor degeneration and secondary vasoregression. To improve the understanding of secondary vasoregression in retinal neurodegeneration, we used microarray techniques to compare gene expression profiles in this new model before and after retinal vasoregression. Differential gene expression was validated by quantitative RT-PCR, Western blot and immunofluorescence. Of the 374 genes regulated more than twofold, the MHC class II invariant chain CD74 yielded the strongest upregulation, and was allocated to activated microglial cells close to the vessels undergoing vasoregression. Pathway clustering identified genes of the immune system, inflammatory signaling, and components of the complement cascade upregulated during vasoregression. Furthermore, macroglial cells were markedly activated. Together, our data suggest that glial cells involved in retinal immune response participate in the initiation of vasoregression in the retina.

Publication Title

Gene expression profiling of vasoregression in the retina--involvement of microglial cells.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP041752
An aging-like phenotype occurs in Tif1?-/- hematopoietic stem cells
  • organism-icon Mus musculus
  • sample-icon 49 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

To determine whether an accelerated aging-like phenotype occurs in hematopoiesis of young Tif1?-/- mice (4 months old), we purified 200,000 hematopoietic stem cells (LSK: Lineage negative, Sca1+, c-Kit+) from Tif1?-/- mice and performed high-throughput mRNA sequencing (RNA-seq). We compared this transcriptome to physiological aging by creating two other RNAseq libraries from young (4 months old) and old (20 months old) wild type mice. Overall design: RNAseq study on young Tif1?-/- mice (4 months old), young wild type mice (4 months old) and old wild type mice (20 months old).

Publication Title

Tif1γ regulates the TGF-β1 receptor and promotes physiological aging of hematopoietic stem cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE829
Laminin binding/non-binding germ cells
  • organism-icon Mus musculus
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2), Affymetrix Murine Genome U74A Array (mgu74a)

Description

Comparison of laminin binding and laminin non-binding germ cells

Publication Title

Defining the spermatogonial stem cell.

Sample Metadata Fields

No sample metadata fields

View Samples
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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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

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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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