Single-cell characterization revealed hypoxia-induced metabolic reprogramming of gastric cancer.

ABSTRACT:

Introduction

Gastric cancer (GC) is one of the most common malignant tumors worldwide. Single-cell sequencing technology can achieve an accurate and unbiased assessment of cell heterogeneity. Therefore, it is necessary to explore the molecular characteristics of GC-related malignant cells at a single-cell resolution.

Methods

Single-cell RNA sequencing GC profiles were collected from the Gene Expression Omnibus database. Moreover, feature gene sets of metabolic pathways and hypoxia signals were collected from the Molecular Signatures Database. The marker genes of specific cell types were collected from the published literature and CellMarker database. The R package InferCNV was used to calculate the copy-number variations of cells and to identify real cancer cells. The weight

SUBMITTER: Kou W 

PROVIDER: S-EPMC9713346 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature