Omics · study · 2026
Genome-wide H3K4me3 profiling of circulating immune cells reveals dynamic epigenetic reprogramming during acute critical COVID-19
Listed in NCBI GEO
Severe COVID-19 is associated with innate immune dysregulation resembling sepsis-induced immunoparalysis.
Description
Epigenetic mechanisms, particularly changes in H3K4me3 enrichment at gene promoters, have been observed in immune tolerance and monocyte dysfunction in sepsis. Whether comparable H3K4me3 alterations occur during acute critical COVID-19 illness has not been investigated.
Among 706 differentially bound consensus peaks with promoter association between ICU and non-ICU groups, 704 showed increased H3K4me3 occupancy in ICU patients, predominantly at neutrophil effector gene loci, supported by pathway enrichment of neutrophil degranulation and innate immune activation. Monocyte HLA-DR expression and ex vivo TLR-stimulated IL-6 secretion were persistently reduced throughout the first week of ICU treatment.
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Longitudinal profiling in the ICU group revealed a shift from an interferon-driven chromatin signature at admission toward sustained innate immune activation and ECM remodelling at day seven. This study provides the first genome-wide H3K4me3 characterization of circulating immune cells during acute critical COVID-19, demonstrating that epigenetic reprogramming is an active and dynamic process that mirrors the functional immune dysregulation observed in these patients.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE339nnn/GSE339365 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE339365 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1498531 ncbi.nlm.nih.gov/bioproject/PRJNA1498531 ↗
project · from NCBI GEO
- PubMed 42694164 pubmed.ncbi.nlm.nih.gov/42694164 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Genome binding/occupancy profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- Genetics 68% · Longitudinal study 65%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE339365 | 15 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[field].anzsrc:group:3105 | enrichment · NCBI GEO | taxonomy-embedding@1.1.0 | title+keywords+description (68%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:genome-binding-occupancy-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[method].local:method:longitudinal-study | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[organism].NCBITaxon:9606 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |