Additional file 1 of The MYC/TXNIP axis mediates NCL-Suppressed CD8+T cell immune response in lung adenocarcinoma

Supplementary Material 1: Figure S1. Quality Control, Variance Analysis, and PCA of scRNA-seq Data. Notes: (A) Violin plots showing the distribution of the number of genes per cell (nFeature_RNA), mRNA molecule counts (nCount_RNA), and the percentage of mitochondrial genes (percent.mt) in scRNA-seq data; (B) Correlation plots between nCount and percent.mt (left) and between nCount and nFeature (right) within cells; (C) Variance analysis identifying highly variable genes in cells, with red dots indicating highly variable genes and black dots representing invariant genes; (D) Cell cycle states of each cell, where S.Score represents the S phase and G2M.Score represents the G2M phase; (E) Heatmap of the expression of constituent genes in the first two principal components; (F) Scatter plot of gene composition in the first two principal components; (G) Comparison of p-values for each principal component using the JackStrawPlot function; (H) Determination of principal components for subsequent analysis using the ElbowPlot function, identifying the inflection point based on variance changes, where important components exhibit larger standard deviations.