Alternative splicing is a major contributor of transcriptomic complexity,but the extent to which transcript isoforms are translated into stable,functional protein isoforms is unclear. Furthermore,detection of relatively scarce isoform-specific peptides is challenging,with many protein isoforms remaining uncharted due to technical limitations. Recently,a family of advanced targeted MS strategies,termed internal standard parallel reaction monitoring (IS-PRM),have demonstrated multiplexed,sensitive detection of pre-defined peptides of interest. Such approaches have not yet been used to confirm existence of novel peptides. Here,we present a targeted proteogenomic approach that leverages sample-matched long-read RNA sequencing (LR RNAseq) data to predict potential protein isoforms with prior transcript evidence. Predicted tryptic isoform-specific peptides,which are specific to individual gene product isoforms,serve as “triggers” and “targets” in the IS-PRM method,Tomahto. Using the model human stem cell line WTC11,LR RNAseq data were generated and used to inform the generation of synthetic standards for 192 isoform-specific peptides (114 isoforms from 55 genes). These synthetic “trigger” peptides were labeled with super heavy tandem mass tags (TMT) and spiked into TMT-labeled WTC11 tryptic digest,predicted to contain corresponding endogenous “target” peptides. Compared to DDA mode,Tomahto increased detectability of isoforms by 3.6-fold,resulting in the identification of five previously unannotated isoforms. Our method detected protein isoform expression for 43 out of 55 genes corresponding to 54 resolved isoforms. This LR RNA seq-informed Tomahto targeted approach,called LRP-IS-PRM,is a new modality for generating protein-level evidence of alternative isoforms – a critical first step in designing functional studies and eventually clinical assays.
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