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GRASPS: a simple-to-operate translatome technology reveals omics-hidden disease-associated pathways in TDP-43-related amyotrophic lateral sclerosis

Lin, Y.-H.; Dodd, J. E.; Cutillo, L.; Castelli, L. M.; Mihaylov, S. R.; Norris, K.; Higginbottom, A.; Walsh, M. J.; Cooper-Knock, J.; Highley, J. R.; Granata, I.; Evans, C. A.; Guarracino, M. R.; Campbell, S. G.; Dickman, M. J.; Shaw, P. J.; Milo, M.; Hautbergue, G. M.

2024-03-08 molecular biology
10.1101/2024.03.04.583294 bioRxiv
Show abstract

Transcriptomes and translatomes measure genome-wide levels of total and ribosome-associated RNAs. A few hundred translatomes were reported over >250,000 transcriptomes highlighting the challenges of identifying translating RNAs. Here, we used a human isogenic inducible model of TDP-43-linked amyotrophic lateral sclerosis, which exhibits altered expression of thousands of transcripts, as a paradigm for the direct comparison of whole-cell, cytoplasmic and translating RNAs, showing broad uncoupling and poor correlation between disease-altered transcripts. Moreover, based on precipitation of endogenous ribosomes, we developed GRASPS (Genome-wide RNA Analysis of Stalled Protein Synthesis), a simple-to-operate translatome technology. Remarkably, GRASPS identified three times more differentially-expressed transcripts with higher fold changes and statistical significance, providing unprecedented opportunities for data modeling at stringent filtering and discovery of previously omics-missed disease-relevant pathways, which functionally map on dense gene regulatory networks of protein-protein interactions. Based on its simplicity and robustness, GRASPS is widely applicable across disciplines in the biotechnologies and biomedical sciences.

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