bioRxivMolecular BiologyPreprint
GRASPS: a simple-to-operate translatome technology reveals omics-hidden disease-associated pathways in TDP-43-related amyotrophic lateral sclerosis
Ya-Hui LiniD, Jennifer E. Dodd, Luisa CutilloiD, Lydia M. CastelliiD, Simeon R. MihayloviD, Karl NorrisiD, Adrian Higginbottom, Matthew J. Walsh, Johnathan Cooper‐KnockiD, J. Robin HighleyiD, Ilaria GranataiD, Caroline A. EvansiD, Mario Rosario GuarracinoiD, Susan G. CampbelliD, Mark J. DickmaniD, Pamela J. ShawiD, Marta MiloiD, Guillaume M. HautbergueiD
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.
- organism: human
- assay: Ribo-seq
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: protein structure prediction
- research focus: protein design
- approach: experimental assay
- Citations
- 2
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