Extended Data Fig. 5: Cell-type specificity and co-expression patterns of non-coding RNAs in PBMCs.
From: Scalable single-cell total RNA sequencing unifies coding and noncoding transcriptomics
a. Fraction of non-coding genes in each WGCNA module. Several modules (for example, 1, 2, 6, 7) include substantial non-coding content, suggesting that cell identity and function are encoded in mixed coding/non-coding programs. Total gene counts per module are indicated above each bar. b. Eigengene expression of co-expression modules across PBMC cell types, as identified by WGCNA. Blue modules are enriched in protein-coding content, whereas red modules include higher fractions of non-coding RNAs. Module 24 is enriched in CD14+ monocytes and T cells, while Module 7 is platelet-specific. c. Sankey diagram summarizing the filtering steps used to identify expressed miRNAs, their expressed target genes, and all predicted or validated miRNA-mRNA interactions in PBMCs. Interactions are further classified by correlation sign (anti-correlated, positively correlated, or uncorrelated) based on Person correlation across cells (| r | > 0.2, p < 0.05). d. For a subset of miRNAs, miRNA expression and the expression of their top anti-correlated predicted or validated target genes are plotted across cells after binning the dataset into groups of 20 cells. Each panel reports the number of predicted and validated targets.
