From single-cell to spatial transcriptomics: decoding the glioma stem cell niche and its clinical implications.

ABSTRACT:

Background

Gliomas are aggressive brain tumors associated with a poor prognosis. Cancer stem cells (CSCs) play a significant role in tumor recurrence and resistance to therapy. This study aimed to identify and characterize glioma stem cells (GSCs), analyze their interactions with various cell types, and develop a prognostic signature.

Methods

Single-cell RNA sequencing data from 44 primary glioma samples were analyzed to identify GSC populations. Spatial transcriptomics and gene regulatory network analyses were performed to investigate GSC localization and transcription factor activity. CellChat analysis was conducted to infer cell-cell communication patterns. A GSC signature (GSCS) was developed using machine learning algorithms applied to bulk RNA sequencing data from mult

SUBMITTER: Cao L 

PROVIDER: S-EPMC11443156 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature