Genome engineering experiments used to be lengthy, inefficient and often expensive, preventing a widespread adoption of such experiments for the full assessment of endogenous protein functions. With the revolutionary CRISPR/Cas9 technology, genome engineering became accessible to the broad life sciences community and is now implemented in several research areas. One particular field that can benefit significantly from this evolution is proteomics where a substantial impact on experimental design and general proteome biology can be expected. In this review we describe the main applications of genome engineering in proteomics, including the use of engineered disease models and endogenous epitope tagging. In addition, we provide an overview on current literature and highlight important considerations when launching genome engineering technologies in proteomics workflows.
Giel Vandemoortele, Kris Gevaert and Sven Eyckerman
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