Frontiers in Immunology · 2024 · 16 citations · 44 references
Life SciencesCancer BiologyOncologyInflammationTranscriptomicsTumor HeterogeneityCancer TranscriptomicsMetabolic HeterogeneitySingle-cell Rna Sequencing AnalysisSingle-cell TranscriptomicsSpatial Single-cell AnalysisTranscriptomic HeterogeneityCellular Oxidative Stress ResponseOxidative Stress In CancerOxidative Stress Response PathwaysOxidative Stress TranscriptomicsSingle-cell Cis-regulatory Network InferenceSingle-cell Regulatory Network InferenceSingle-cell Rna SequencingTumor Cell Survival Pathways
Background: Glioma is a highly heterogeneous malignancy of the central nervous system. This heterogeneity is driven by various molecular processes, including neoplastic transformation, cell cycle dysregulation, and angiogenesis. Among these biomolecular events, inflammation and stress pathways in the development and driving factors of glioma heterogeneity have been reported. However, the mechanisms of glioma heterogeneity under stress response remain unclear, especially from a spatial aspect. Methods: This study employed single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) to explore the impact of oxidative stress response genes in oligodendrocyte precursor cells (OPCs). Our analysis identified distinct pathways activated by oxidative stress in two different types of gliomas: high- and low- grade (HG and LG) gliomas. Results: In HG gliomas, oxidative stress induced a metabolic shift from oxidative phosphorylation to glycolysis, promoting cell survival by preventing apoptosis. This metabolic reprogramming was accompanied by epithelial-to-mesenchymal transition (EMT) and an upregulation of stress response genes. Furthermore, SCENIC (Single-Cell rEgulatory Network Inference and Clustering) analysis revealed that oxidative stress activated the AP1 transcription factor in HG gliomas, thereby enhancing tumor cell survival and proliferation. Conclusion: Our findings provide a novel perspective on the mechanisms of oxidative stress responses across various grades of gliomas. This insight enhances our comprehension of the evolutionary processes and heterogeneity within gliomas, potentially guiding future research and therapeutic strategies.
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STAR: ultrafast universal RNA-seq aligner
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