← BioTransfer GEO Dataset Finder
GEO series

The human liver circadian transcriptome and its carcinogenic perturbation by hepatitis C virus infection (RNA-Seq I)

GSE200809 Homo sapiens Expression profiling by high throughput sequencing 6 samples Submitted 2024/08/02 Platform GPL20301
Summary
Chronic liver disease and cancer are global health challenges. The role of the circadian clock (CC) as a regulator of physiology and disease is well established in animal models. However, in human liver the identity of circadian genes and their epigenetic regulation is unknown. Here, we unraveled the circadian transcriptome and epigenome of human hepatocytes using a human liver chimeric mouse model. We identified genes coding for transcription factors, chromatin modifiers, and critical enzymes which are expressed rhythmically in human hepatocytes, and which differ from the mouse liver circadian transcriptome. Moreover, we show that hepatitis C virus (HCV) infection, a major cause of liver disease and cancer world-wide, perturbs the human hepatocellular clock leading to an activation of pathways mediating steatosis, fibrosis and cancer. The HCV-disrupted rhythmic hepatic pathways remained deregulated in patients cured of HCV suggesting a major role in liver cancer development, and in the identification of therapeutic targets.
Published in
An atlas of the human liver diurnal transcriptome and its perturbation by hepatitis C virus infection
Mukherji A, Jühling F, Simanjuntak Y et al. · Nature communications 2024 · PMID 39209804 · doi:10.1038/s41467-024-51698-8
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE200809_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 6 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA826858 and SRA study SRP370261. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 6 more — browse all 6 samples with per-sample file links →

Similar datasets

Search all human RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.