Integrated single-cell sequencing for the development of a GJA4-based precision immuno-prognostic model in melanoma.

ABSTRACT:

Methods

We conducted an analysis of RNA-seq and microarray data obtained from the TCGA and GEO databases, alongside single-cell RNA sequencing (scRNA-seq) data from glioma patients within the GEO repository. This comprehensive investigation, augmented by experimental studies, concentrated on exploring the interactions between tumor-associated endothelial cells (TECs) and tumors, as well as elucidating the molecular mechanisms involved.

Results

Single-cell sequencing analysis identified differentially expressed genes within tumor-associated endothelial cells. Further investigation highlighted GJA4 as a pivotal marker gene for a terminal subpopulation, with its expression linked to poor prognosis. Subsequent experiments were conducted to explore its underlying functional mecha

SUBMITTER: Ding Y 

PROVIDER: S-EPMC12275486 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature