| Literature DB >> 26510734 |
Giel Vandemoortele1,2, Kris Gevaert1,2, Sven Eyckerman1,2.
Abstract
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 clustered regularly interspaced short palindromic repeats/CRISPR-associated protein 9 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.Entities:
Keywords: Disease models; Epitope tagging; Genome engineering; Knock-out studies; Structure-function studies; Technology
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Year: 2015 PMID: 26510734 DOI: 10.1002/pmic.201500262
Source DB: PubMed Journal: Proteomics ISSN: 1615-9853 Impact factor: 3.984