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An atlas of the human liver diurnal transcriptome and its perturbation by hepatitis C virus infection

  • Atish Mukherji
  • , Frank Jühling
  • , Yogy Simanjuntak
  • , Emilie Crouchet
  • , Fabio Del Zompo
  • , Yuji Teraoka
  • , Alexandre Haller
  • , Philippe Baltzinger
  • , Soumith Paritala
  • , Fahmida Rasha
  • , Naoto Fujiwara
  • , Cloé Gadenne
  • , Nevena Slovic
  • , Marine A. Oudot
  • , Sarah C. Durand
  • , Clara Ponsolles
  • , Catherine Schuster
  • , Xiaodong Zhuang
  • , Jacinta Holmes
  • , Ming Lun Yeh
  • Hiromi Abe-Chayama, Mathias Heikenwälder, Angelo Sangiovanni, Massimo Iavarone, Massimo Colombo, Steven K.H. Foung, Jane A. McKeating, Irwin Davidson, Ming Lung Yu, Raymond T. Chung, Yujin Hoshida, Kazuaki Chayama, Joachim Lupberger, Thomas F. Baumert

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

Chronic liver disease and cancer are global health challenges. The role of the circadian clock as a regulator of liver physiology and disease is well established in rodents, however, the identity and epigenetic regulation of rhythmically expressed genes in human disease is less well studied. Here we unravel the rhythmic transcriptome and epigenome of human hepatocytes using male human liver chimeric mice. We identify a large number of rhythmically expressed protein coding genes in human hepatocytes of male chimeric mice, which includes key transcription factors, chromatin modifiers, and critical enzymes. We show that hepatitis C virus (HCV) infection, a major cause of liver disease and cancer, perturbs the transcriptome by altering the rhythmicity of the expression of more than 1000 genes, and affects the epigenome, leading to an activation of critical pathways mediating metabolic alterations, fibrosis, and cancer. HCV-perturbed rhythmic pathways remain dysregulated in patients with advanced liver disease. Collectively, these data support a role for virus-induced perturbation of the hepatic rhythmic transcriptome and pathways in cancer development and may provide opportunities for cancer prevention and biomarkers to predict HCC risk.

Original languageEnglish
Article number7486
JournalNature Communications
Volume15
Issue number1
DOIs
StatePublished - Dec 2024
Externally publishedYes

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