Large dataset enables prediction of repair after CRISPR-Cas9 editing in primary T cells.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 31359007.
- Also identified by DOI 10.1038/s41587-019-0203-2 and PMC identifier 7388783.
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Abstract
Understanding of repair outcomes after Cas9-induced DNA cleavage is still limited, especially in primary human cells. We sequence repair outcomes at 1,656 on-target genomic sites in primary human T cells and use these data to train a machine learning model, which we have called CRISPR Repair Outcome (SPROUT). SPROUT accurately predicts the length, probability and sequence of nucleotide insertions and deletions, and will facilitate design of SpCas9 guide RNAs in therapeutically important primary human cells.
Medical subject headings
- CRISPR-Cas Systems
- Gene Editing
- RNA, Guide, CRISPR-Cas Systems
- T-Lymphocytes