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accession-icon GSE66989
The effect of short-chain fatty acids (SCFAs) on human monocyte-derived dendritic cells (DCs)
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

We investigated the influence of SCFAs on human, monocyte derived DCs that represent a reliable in vitro model to study circulating DCs, one of the key regulators of our immune system. We studied the individual effect exerted by SCFA, the main metabolic end-products of fermentation by anaerobic bacteria in the gut, on the gene expression of immature and mature DC, exploring the potential of circulating bacterial metabolites to directly influence immune system cells. We found that SCFAs have little effect on the transcriptome of immature DC, whereas the transcriptome of mature DC was highly perturbed especially by butyrate and propionate. Our findings show an overall down-regulation of LPS-induced inflammatory responses and provide new insights into host-microbiome interactions.

Publication Title

The effect of short-chain fatty acids on human monocyte-derived dendritic cells.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE50803
Expression of SUDHL-1 cell line treated by ALK inhibitors
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In this study we compared the effects of ALK inhibitor on the gene expression, activation of cell signaling pathways, and functional properties of cells derived from a patient with Anaplastic Large Cell Lymphoma. we used microarrays to map the genome-wide gene expression patterns in ALK+TCL cells in response to ALK inhibition.

Publication Title

Malignant transformation of CD4+ T lymphocytes mediated by oncogenic kinase NPM/ALK recapitulates IL-2-induced cell signaling and gene expression reprogramming.

Sample Metadata Fields

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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