Fig. 5: ICP-related lncRNAs are specific to immune cell subsets according to the scRNA-seq data.

a Quantitative characterization of ICP-associated lncRNAs and ICP-LncCRCTs in single-cell datasets. b Upset plots for all single-cell datasets and the lung cancer single-cell dataset. The intersection of ICP-associated lncRNA and ICP-LncCRCTs between the different datasets is shown. The bar graph on the left side shows the total number contained in each dataset. The lower dot plot shows the intersection relationship between each dataset, where each dot represents a dataset and connected dots indicate datasets with intersection. The upper bar graph shows the number of each intersection case. c Pie charts and bar graphs show the percentage of the four patterns in the single-cell dataset for different cancers. d Pie charts representing ICP-LncCRCTs share of the four modalities in different cancer single-cell datasets. e Comparison of ssGSEA scores between different cell types in the GSE117570 and GSE72056 datasets. P values were calculated using Kruskal–Wallis. The horizontal lines of the box plot represent the maximum, upper quartile, median, lower quartile, and minimum values. The width of the kernel density plot represents the density of the data. f Violins indicate the differential expression of MIR155HG in different types of immune cells in the GSE125449 and GSE72056 datasets. White dots indicate the median. Black vertical lines indicate 95% confidence intervals. The width of the violin plot indicates the density of the data. g Pseudotime diagram of ICP-related lncRNAs. “*” indicates lncRNAs that are common ICP-related lncRNAs in genes clustered with MIR155HG.