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accession-icon GSE84587
Expression data from primary human hepatocyte oxygenated co-cultures infected by HCV and human liver biopsies from HCV patients.
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Viruses lack the basic machinery needed to replicate and therefore must hijack host metabolism to propagate. Virus-induced metabolic alterations have yet to be systematically studied in the context of the host transcriptional regulation, offering insight into host-pathogen metabolic interplay. In this work we identified Hepatitis C Virus (HCV)-responsive regulators by coupling system-wide metabolic flux analysis with targeted perturbation of nuclear receptors in primary human hepatocytes. We find HCV-induced up-regulation of glycolysis, ketogenesis and drug metabolism, controlled by activation of HNF4, PPAR, FXR and PXR, respectively. Pharmaceutical inhibition of HNF4 reversed HCV-induced glycolysis, blocking viral replication while increasing apoptosis in infected cells showing a viral-induced dependence on glycolysis. In contrast, pharmaceutical inhibition of PPAR or FXR reversed HCV-induced ketogenesis, but increased viral replication demonstrating a unique host anti-viral response. Our results show that viral-induced changes to host metabolism can be detrimental to its lifecycle demonstrating a distinct biological complexity.

Publication Title

Nuclear receptors control pro-viral and antiviral metabolic responses to hepatitis C virus infection.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE57729
Differential expression of mouse Grem1+ Vs. Grem1- bone-marrow cells
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The gene expression of bone marrow cells of mice enriched for

Publication Title

Gremlin 1 identifies a skeletal stem cell with bone, cartilage, and reticular stromal potential.

Sample Metadata Fields

Sex, Specimen part

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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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