Large dataset enables prediction of repair after CRISPR-Cas9 editing in primary T cells.

Our 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, CRISPR Repair OUTcome (SPROUT). SPROUT...

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Vydáno v:Nat Biotechnol
Hlavní autoři: Leenay, Ryan T., Aghazadeh, Amirali, Hiatt, Joseph, Tse, David, Roth, Theodore L., Apathy, Ryan, Shifrut, Eric, Hultquist, Judd F., Krogan, Nevan, Wu, Zhenqin, Cirolia, Giana, Canaj, Hera, Leonetti, Manuel D., Marson, Alexander, May, Andrew P., Zou, James
Médium: Artigo
Jazyk:Inglês
Vydáno: 2019
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Article
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7388783/
https://ncbi.nlm.nih.gov/pubmed/31359007
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41587-019-0203-2
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