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AMPK activation in response to hepatitis E virus infection inhibited viral replication by attenuating autophagosome and promoting innate immunity

GSE262469 Homo sapiens (human) RNA-seq (gene expression) 15 samples Submitted 2024/03/31 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 15 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Samples
15 samples
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Summary (written by the submitters)
Background & Aims: Other than hepatitis B or C virus infection, Hepatitis E virus (HEV) infection is generally asymptomatic or leads to acute and self-limiting hepatitis. However, the mechanism of host cell defense against HEV is unclear. Viruses are known to perturb host cellular metabolism to enable their replication and spread. AMP-activated protein kinase (AMPK) activation is crucial for the regulation of cell homeostasis.
Read the full summary ↓
We thus investigated the role of AMPK in HEV infection. Methods: Huh7, THP1 and HepG2 cells inoculated with infectious HEV viral particle or Huh7 and organoids transfected with in vitro generated subgenomic or full-length GT3 (Kernow-C1 p6 strain) HEV RNA, namely, p6Luc or p6 were used to model HEV infection. Viral replication and genes expression were quantified. Activation of AMPK, innate immune response and autophagy process were assessed. Results: We found HEV infection can trigger AMPK activation by phosphorylation of AMPK at threonine 172 by transfecting HEV viral RNA into host cells or inoculating host cells with infectious HEV viral particle. The activation of AMPK is associated with HEV induced mitochondrial damage and ATP deficiency. Pharmacological activation of AMPK using 5-aminoimidazole-4-carboxamide ribonucleotide (AICAR) attenuated HEV replication, which was reversed by an AMPK inhibitor (compound C). Lentivirus-mediated knockdown of AMPK provided further evidence that AMPK has an antiviral effect on HEV replication. These results suggested that AMPK activation is a potent strategy of host cells for HEV clearance. Consistent with its antiviral effect, AMPK activation potentiated the expression of genes with antiviral properties (e.g., IFNs, ISG15, and IRF9) and inhibited inflammatory response (e.g., NF-KB NLRP3 and IL-1β). Meanwhile, HEV and activated AMPK also decreased autophagosome accumulation by decreasing induction of autophagy and autophagic degradation. Consistently, we found inhibition of AMPK efficiently augmented HEV induced autophagosome accumulation, evidenced by a marked increase in LC3II. Our previous study showed that rapamycin, an activator of autophagic induction by inhibiting mTOR, and Bafilomycin A1, an inhibitor of autophagic degradation, has a potent pro-HEV effect under AICAR treatment. Moreover, Wortmannin inhibiting autophagic induction recover AMPK inhibitor induced HEV replication. Together, these results suggested that HEV induced AMPK activation can serve to protect HEV infected cells from HEV infection by attenuating autophagosome and promoting innate immunity. Conclusions: Here we show that HEV infection can activate AMPK phosphorylation, which attenuates autophagosome accumulation and increases innate immune signaling. Thus, the AMPK activation in response to HEV infection is critical in host cells for rapid viral clearance by coordinating autophagic process and establishing persistent antiviral immunity.
This dataset
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE262469_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1091941 and SRA study SRP497878. Searching any of these in the dataset finder brings you back here.

Samples in this study

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