Extended Data Fig. 8: tRNA abundance and changes in RNA modification stoichiometry can be quantified using Nano-tRNAseq. | Nature Biotechnology

Extended Data Fig. 8: tRNA abundance and changes in RNA modification stoichiometry can be quantified using Nano-tRNAseq.

From: Quantitative analysis of tRNA abundance and modifications by nanopore RNA sequencing

Extended Data Fig. 8: tRNA abundance and changes in RNA modification stoichiometry can be quantified using Nano-tRNAseq.The alternative text for this image may have been generated using AI.

(a) Scatterplots showing tRNA abundances of S. cerevisiae Pus4 knockout (KO) across biological replicates. See also Supplementary Table 21. Each point represents a tRNA alloacceptor and is colored based on alloacceptor type. The correlation strength is indicated by Spearman’s correlation coefficient (ρ Differential expression volcano plot of pus4KO versus WT (see also Supplementary Table 13). Differentially expressed tRNAs were defined as having an adjusted -log10 P-value of <0.01 and an absolute log2 fold change greater than 0.6. (b) Change in Ψ55 mismatch frequency upon knockout of Pus4, relative to WT, for each isoacceptor, as calculated by NanoRMS. Data are presented as mean ± SEM for n = 2 biological replicates.

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