Integrative analysis of single-cell transcriptomic and multilayer signaling networks in glioma reveal tumor progression stage.

ABSTRACT:

Introduction

Tumor microenvironments (TMEs) encompass complex ecosystems of cancer cells, infiltrating immune cells, and diverse cell types. Intercellular and intracellular signals within the TME significantly influence cancer progression and therapeutic outcomes. Although computational tools are available to study TME interactions, explicitly modeling tumor progression across different cancer types remains a challenge.

Methods

This study introduces a comprehensive framework utilizing single-cell RNA sequencing (scRNA-seq) data within a multilayer network model, designed to investigate molecular changes across glioma progression stages. The heterogeneous, multilayered network model replicates the hierarchical structure of biological systems, from genetic building blocks to c

SUBMITTER: Atanaki FF 

PROVIDER: S-EPMC11599185 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature