Easy quantitative assessment of genome editing by sequence trace decomposition
Author(s) -
Eva K. Brinkman,
Tao Chen,
Mario Amendola,
Bas van Steensel
Publication year - 2014
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gku936
Subject(s) - biology , sequence (biology) , computational biology , trace (psycholinguistics) , genome , decomposition , genome editing , population , reference genome , dna sequencing , whole genome sequencing , alignment free sequence analysis , mutation , sequence analysis , genetics , computer science , sequence alignment , dna , gene , peptide sequence , ecology , philosophy , linguistics , demography , sociology
The efficacy and the mutation spectrum of genome editing methods can vary substantially depending on the targeted sequence. A simple, quick assay to accurately characterize and quantify the induced mutations is therefore needed. Here we present TIDE, a method for this purpose that requires only a pair of PCR reactions and two standard capillary sequencing runs. The sequence traces are then analyzed by a specially developed decomposition algorithm that identifies the major induced mutations in the projected editing site and accurately determines their frequency in a cell population. This method is cost-effective and quick, and it provides much more detailed information than current enzyme-based assays. An interactive web tool for automated decomposition of the sequence traces is available. TIDE greatly facilitates the testing and rational design of genome editing strategies.
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