Single cell atlas reveals multilayered metabolic heterogeneity across tumour types.

ABSTRACT:

Background

Metabolic reprogramming plays a pivotal role in cancer progression, contributing to substantial intratumour heterogeneity and influencing tumour behaviour. However, a systematic characterization of metabolic heterogeneity across multiple cancer types at the single-cell level remains limited.

Methods

We integrated 296 tumour and normal samples spanning six common cancer types to construct a single-cell compendium of metabolic gene expression profiles and identify cell type-specific metabolic properties and reprogramming patterns. A computational approach based on non-negative matrix factorization (NMF) was utilised to identify metabolic meta-programs (MMPs) showing intratumour heterogeneity. In-vitro cell experiments were conducted to confirm the associations betwe

SUBMITTER: Zhou Z 

PROVIDER: S-EPMC11663789 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature