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Predicting AID off-targets: A step forward.
- Source :
-
The Journal of experimental medicine [J Exp Med] 2018 Mar 05; Vol. 215 (3), pp. 721-722. Date of Electronic Publication: 2018 Feb 15. - Publication Year :
- 2018
-
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.<br /> (© 2018 Reynaud and Weill.)
- Subjects :
- Animals
Mice
Germinal Center
Subjects
Details
- Language :
- English
- ISSN :
- 1540-9538
- Volume :
- 215
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- The Journal of experimental medicine
- Publication Type :
- Academic Journal
- Accession number :
- 29449308
- Full Text :
- https://doi.org/10.1084/jem.20180231