Research Paper Volume 15, Issue 19 pp 10305—10329

The integrated single-cell analysis developed an immunogenic cell death signature to predict lung adenocarcinoma prognosis and immunotherapy


Figure 2. The single-cell analysis process was executed as follows: (A) The distribution of gene expression levels, sequencing depth, the percentage of red blood cell genes, the percentage of mitochondrial genes, and the percentage of ribosome genes was assessed across the 12 samples. (B) Correlations between sequencing depth and gene expression levels, as well as the percentages of mitochondrial genes, red blood cell genes, and ribosome genes, were examined. (C) The distribution of observation samples slated for clustering based on cycle-related marker scores was analyzed. (D) The expression of marker genes within diverse subpopulations of classical cell types was depicted. (E) The distribution of distinct cell populations across the 12 LUAD samples was illustrated. (F) An UMAP plot displayed the comprehensive composition of cell types. (G) Differential expression markers between various enriched cell types, aligned with pathway profiles, were identified. (H) Divergent ICD activity within distinct cell groups was ascertained.