Predicting AID off-targets: A step forward

被引:2
作者
Reynaud, Claude-Agnes
Weill, Jean-Claude
机构
关键词
SOMATIC HYPERMUTATION; B-CELLS;
D O I
10.1084/jem.20180231
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
In this issue of JEM, Alvarez-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.
引用
收藏
页码:721 / 722
页数:2
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