Identifying the anti-infection NK and T cell subgroups in preterm newborns with sepsis using single-cell RNA-seq analysis.

ABSTRACT:

Background

Preterm infants have the highest incidence of late-onset sepsis, which could result in life-long morbidity, neurodevelopmental disability, and even death. We aimed to explore the anti-infection role of immune cells in treating preterm sepsis.

Methods

The single-cell RNA-seq (scRNA-seq) data of preterm newborns with late-onset sepsis were collected from the Gene Expression Omnibus database. The Seurat and harmony R package were used to perform the scRNA-seq analysis. Gene set enrichment analysis (GSEA) was conducted using the GSVA R package. FindAllMarkers and DAVID databases were used for differentially expressed genes (DEGs) analysis and function annotation of the genes, respectively. Transcriptional regulons analysis was performed applying the SCENIC tool.

Re

SUBMITTER: Wang S 

PROVIDER: S-EPMC12570460 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature