↓ Skip to main content

Analysis of gene repair tracts from Cas9/gRNA double-stranded breaks in the human CFTR gene

Overview of attention for article published in Scientific Reports, August 2016
Altmetric Badge

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
72 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Analysis of gene repair tracts from Cas9/gRNA double-stranded breaks in the human CFTR gene
Published in
Scientific Reports, August 2016
DOI 10.1038/srep32230
Pubmed ID
Authors

Jennifer A. Hollywood, Ciaran M. Lee, Martina F. Scallan, Patrick T. Harrison

Abstract

To maximise the efficiency of template-dependent gene editing, most studies describe programmable and/or RNA-guided endonucleases that make a double-stranded break at, or close to, the target sequence to be modified. The rationale for this design strategy is that most gene repair tracts will be very short. Here, we describe a CRISPR Cas9/gRNA selection-free strategy which uses deep sequencing to characterise repair tracts from a donor plasmid containing seven nucleotide differences across a 216 bp target region in the human CFTR gene. We found that 90% of the template-dependent repair tracts were >100 bp in length with equal numbers of uni-directional and bi-directional repair tracts. The occurrence of long repair tracts suggests that a single gRNA could be used with variants of the same template to create or correct specific mutations within a 200 bp range, the size of ~80% of human exons. The selection-free strategy used here also allowed detection of non-homologous end joining events in many of the homology-directed repair tracts. This indicates a need to modify the donor, possibly by silent changes in the PAM sequence, to prevent creation of a second double-stranded break in an allele that has already been correctly edited by homology-directed repair.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 71 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 18%
Student > Master 11 15%
Student > Bachelor 10 14%
Student > Ph. D. Student 10 14%
Other 4 6%
Other 6 8%
Unknown 18 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 23 32%
Agricultural and Biological Sciences 20 28%
Medicine and Dentistry 4 6%
Arts and Humanities 1 1%
Nursing and Health Professions 1 1%
Other 4 6%
Unknown 19 26%