Predicting AID off-targets: A step forward
- PMID: 29449308
- PMCID: PMC5839771
- DOI: 10.1084/jem.20180231
Predicting AID off-targets: A step forward
Abstract
In this issue of JEM, Álvarez-Prado et al. (https://doi.org/10.1084/jem.20171738) designed a DNA capture library allowing them to identify 275 genes targeted by AID in mouse germinal center B cells. Using the molecular features of these genes to feed a machine-learning algorithm, they determined that high-density RNA PolII and Spt5 binding-found in 2.3% of the genes-are the best predictors of AID specificity.
© 2018 Reynaud and Weill.
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Comment on
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A broad atlas of somatic hypermutation allows prediction of activation-induced deaminase targets.J Exp Med. 2018 Mar 5;215(3):761-771. doi: 10.1084/jem.20171738. Epub 2018 Jan 26. J Exp Med. 2018. PMID: 29374026 Free PMC article.
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