The availability of genome sequences of numerous organisms and the revolution brought about by genome editing tools (e.g., ZFNs, TALENs, and CRISPR/Cas9 or RGENs) has provided a breakthrough in introducing targeted genetic changes both to explore emergent phenotypes and to introduce new functionalities. However, the wider application of these tools in biology, agriculture, medicine, and biotechnology is limited by off-target mutation effects. In this review, we compare available methods for detecting, measuring, and analyzing off-target mutations. Furthermore, we particularly focus on CRISPR/Cas9 regarding various methods, tweaks, and software tools available to nullify off-target effects

Nagamangala Kanchiswamy, C.; Maffei, M.E.; Malnoy, M.A.; Velasco, R.; Kim, J.S. (2016). Fine-tuning next-generation genome editing tools. TRENDS IN BIOTECHNOLOGY, 34 (7): 562-574. doi: 10.1016/j.tibtech.2016.03.007 handle: http://hdl.handle.net/10449/33143

Fine-tuning next-generation genome editing tools

Nagamangala Kanchiswamy, Chidananda;Malnoy, Mickael Arnaud;Velasco, Riccardo;
2016-01-01

Abstract

The availability of genome sequences of numerous organisms and the revolution brought about by genome editing tools (e.g., ZFNs, TALENs, and CRISPR/Cas9 or RGENs) has provided a breakthrough in introducing targeted genetic changes both to explore emergent phenotypes and to introduce new functionalities. However, the wider application of these tools in biology, agriculture, medicine, and biotechnology is limited by off-target mutation effects. In this review, we compare available methods for detecting, measuring, and analyzing off-target mutations. Furthermore, we particularly focus on CRISPR/Cas9 regarding various methods, tweaks, and software tools available to nullify off-target effects
ZFNs
TALENs
CRISPR/Cas9
Genome editing
On-target
Off-target
Target specificity
Settore AGR/07 - GENETICA AGRARIA
2016
Nagamangala Kanchiswamy, C.; Maffei, M.E.; Malnoy, M.A.; Velasco, R.; Kim, J.S. (2016). Fine-tuning next-generation genome editing tools. TRENDS IN BIOTECHNOLOGY, 34 (7): 562-574. doi: 10.1016/j.tibtech.2016.03.007 handle: http://hdl.handle.net/10449/33143
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