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UDiTaS™, a genome editing detection method for indels and genome rearrangements

Authors :
Georgia Giannoukos
Dawn M. Ciulla
Eugenio Marco
Hayat S. Abdulkerim
Luis A. Barrera
Anne Bothmer
Vidya Dhanapal
Sebastian W. Gloskowski
Hariharan Jayaram
Morgan L. Maeder
Maxwell N. Skor
Tongyao Wang
Vic E. Myer
Christopher J. Wilson
Source :
BMC Genomics, Vol 19, Iss 1, Pp 1-10 (2018)
Publication Year :
2018
Publisher :
BMC, 2018.

Abstract

Abstract Background Understanding the diversity of repair outcomes after introducing a genomic cut is essential for realizing the therapeutic potential of genomic editing technologies. Targeted PCR amplification combined with Next Generation Sequencing (NGS) or enzymatic digestion, while broadly used in the genome editing field, has critical limitations for detecting and quantifying structural variants such as large deletions (greater than approximately 100 base pairs), inversions, and translocations. Results To overcome these limitations, we have developed a Uni-Directional Targeted Sequencing methodology, UDiTaS, that is quantitative, removes biases associated with variable-length PCR amplification, and can measure structural changes in addition to small insertion and deletion events (indels), all in a single reaction. We have applied UDiTaS to a variety of samples, including those treated with a clinically relevant pair of S. aureus Cas9 single guide RNAs (sgRNAs) targeting CEP290, and a pair of S. pyogenes Cas9 sgRNAs at T-cell relevant loci. In both cases, we have simultaneously measured small and large edits, including inversions and translocations, exemplifying UDiTaS as a valuable tool for the analysis of genome editing outcomes. Conclusions UDiTaS is a robust and streamlined sequencing method useful for measuring small indels as well as structural rearrangements, like translocations, in a single reaction. UDiTaS is especially useful for pre-clinical and clinical application of gene editing to measure on- and off-target editing, large and small.

Details

Language :
English
ISSN :
14712164
Volume :
19
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Genomics
Publication Type :
Academic Journal
Accession number :
edsdoj.85150464620e4b6d8346790e56c87003
Document Type :
article
Full Text :
https://doi.org/10.1186/s12864-018-4561-9