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accession-icon GSE26366
Notch/HES1-mediated PARP1 activation: A cell-type specific mechanism for tumor suppression
  • organism-icon Homo sapiens
  • sample-icon 199 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Notch signaling plays both oncogenic and tumor suppressor roles, depending on cell type. In contrast to T cell acute lymphoblastic leukemia (T-ALL), where Notch activation promotes leukemogenesis, induction of Notch signaling in B-ALL leads to growth arrest and apoptosis. The Notch target Hairy/Enhancer of Split1 (HES1) is sufficient to reproduce this tumor suppressor phenotype in B-ALL, however the mechanism is not yet known. Here we report that HES1 regulates pro-apoptotic signals via the novel interacting protein Poly ADP-Ribose Polymerase1 (PARP1) in a cell type-specific manner. The interaction of HES1 with PARP1 inhibits HES1 function, induces PARP1 activation and results in PARP1 cleavage in B-ALL. HES1-induced PARP1 activation leads to self-ADP ribosylation of PARP1, consumption of NAD+, diminished ATP levels, and translocation of the Apoptosis Inducing Factor (AIF) from mitochondria to the nucleus, resulting in apoptosis in B-ALL, but not T-ALL. Importantly, induction of Notch signaling via the Notch agonist peptide DSL can reproduce these events and leads to BALL apoptosis. The novel interaction of HES1 and PARP1 in B-ALL modulates the function of the HES1 transcriptional complex and signals through PARP1 to induce apoptosis. This mechanism reveals a cell type-specific pro-apoptotic pathway which may lead to Notch agonist-based cancer therapeutics.

Publication Title

Notch/HES1-mediated PARP1 activation: a cell type-specific mechanism for tumor suppression.

Sample Metadata Fields

Specimen part

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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

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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

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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

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accession-icon GSE830
Rat germ cells
  • organism-icon Rattus norvegicus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Expression 230A Array (rae230a)

Description

Rat germ cells

Publication Title

Defining the spermatogonial stem cell.

Sample Metadata Fields

No sample metadata fields

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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

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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
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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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