Single-cell pseudotime and intercellular communication analysis reveals heterogeneity and immune microenvironment in oral cancer DOI Creative Commons
Hanjun Liu, Lianwu Xie, Xuemin Xing

et al.

Discover Oncology, Journal Year: 2025, Volume and Issue: 16(1)

Published: Feb. 10, 2025

Oral cancer is one of the most prevalent malignant neoplasms globally, with its microenvironment being extremely complicated and heterogeneous regard to distribution different types cells, which creates a barrier against treatment. We integrated single-cell RNA sequencing, pseudotime analysis, intercellular communication identify subtypes, state transitions, interactions in development oral their roles tumor progression immune response. Principal component analysis (PCA) followed by dimensionality reduction techniques (UMAP t-SNE) revealed multiple populations data from cancer. Analysis gene expression patterns associated individual genes distinct principal components that described features cell subtypes or states microenvironment. also conducted set enrichment (GSEA) cell-cell network investigate important signaling pathways as well potential communications. Gene linked this study included membrane, signal transduction response biological processes. Pseudotime showed differentiation trajectories essential were altered. Cell-cell myeloid cells interacted heavily they had strong endothelial cells. MIF pathway participation various signaling, suggesting significance The complexity TME reported here first-ever single providing new perspective regarding heterogeneity

Language: Английский

Single-cell pseudotime and intercellular communication analysis reveals heterogeneity and immune microenvironment in oral cancer DOI Creative Commons
Hanjun Liu, Lianwu Xie, Xuemin Xing

et al.

Discover Oncology, Journal Year: 2025, Volume and Issue: 16(1)

Published: Feb. 10, 2025

Oral cancer is one of the most prevalent malignant neoplasms globally, with its microenvironment being extremely complicated and heterogeneous regard to distribution different types cells, which creates a barrier against treatment. We integrated single-cell RNA sequencing, pseudotime analysis, intercellular communication identify subtypes, state transitions, interactions in development oral their roles tumor progression immune response. Principal component analysis (PCA) followed by dimensionality reduction techniques (UMAP t-SNE) revealed multiple populations data from cancer. Analysis gene expression patterns associated individual genes distinct principal components that described features cell subtypes or states microenvironment. also conducted set enrichment (GSEA) cell-cell network investigate important signaling pathways as well potential communications. Gene linked this study included membrane, signal transduction response biological processes. Pseudotime showed differentiation trajectories essential were altered. Cell-cell myeloid cells interacted heavily they had strong endothelial cells. MIF pathway participation various signaling, suggesting significance The complexity TME reported here first-ever single providing new perspective regarding heterogeneity

Language: Английский

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