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SUMOylation and ubiquitination reciprocally regulate SMCHD1 antiviral activity against herpes simplex virus 1

GSE311667 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 2 samples Submitted 2026/06/15 Platform GPL24676
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 2 samples

What it is
ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
Organism
Homo sapiens (human)
Samples
2 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)
Host restriction factors serve as intrinsic barriers against viral infection, and are frequently counteracted by viral antagonists. Previous studies, including our own, have identified SMCHD1 as a restriction factor that suppresses the replication of multiple viruses. Here, we reveal that the antiviral activity of SMCHD1 is dynamically regulated by two different post-translational modifications.
Read the full summary ↓
SUMOylation of the SMCHD1 hinge domain is critical for its association with viral genome and enhances its antiviral activity. In contrast, during herpes simplex virus 1 (HSV-1) infection, the viral E3 ligase ICP0 induces SMCHD1 ubiquitination and proteasomal degradation, thereby relieving viral restriction. Loss of ICP0 stabilizes SMCHD1 and leads to marked accumulation of SUMOylated SMCHD1, rendering ICP0-deficient HSV-1 more sensitive to SMCHD1-mediated inhibition. Together, our findings uncover a reciprocal SUMO-ubiquitin regulatory mechanism that governs SMCHD1 antiviral activity and highlight a refined virus-host arms race centered on biphasic modification of a single restriction factor.
This dataset
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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.

Series matrix ↓
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 GSE311667_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

What the files usually look like: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA1370101 and SRA study SRP649284. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Samples in this study

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