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Journal: Frontiers in Genetics
Article Title: Single-cell transcriptomic profiling uncovers key molecular signatures in glioma pathogenesis
doi: 10.3389/fgene.2026.1818742
Figure Lengend Snippet: Differential expression analysis, gene co-expression network, pathway enrichment, and experimental validation. (A) Volcano plot showing differential expression analysis results, with significantly up- and downregulated genes highlighted. (B) Gene co-expression network revealing functional modules centered on hub genes including CLEC12A, ATP13A4, CLU, AQP4, S100A16, and MT3. (C) Three-dimensional PCA visualization showing spatial distribution of 22 cell clusters. (D) Pathway enrichment dot plot identifying significantly enriched glioma-related pathways including cell cycle, Notch signaling, MAPK, and neurogenesis. (E) Cell type expression correlation heatmap showing relationships between astrocytes, pericytes, differentiated cells, progenitor cells, T cells, neural stem cells, and oligodendrocytes. (F) qRT-PCR validation of candidate biomarkers in C8-D1A normal glial cells, GL261 glioma cells, and NP disc cells, showing significant downregulation of Plp1 (0.38-fold) and upregulation of F th1 (2.15-fold) and Gm42418 (5.67-fold) in glioma cells. ***P < 0.001.
Article Snippet:
Techniques: Quantitative Proteomics, Expressing, Biomarker Discovery, Functional Assay, Quantitative RT-PCR