i
Superseded
This Document Has Been Replaced By:
i
Retired
This Document Has Been Retired
i
Up-to-date Information
This is the latest update:
Context Influences on TALE-DNA Binding Revealed by Quantitative Profiling
-
Published Date:
June 11 2015
-
Source:Nat Commun. 6:7440
-
Language:English
-
Details:
-
Alternative Title:Nat Commun
-
Personal Author:
-
Description:Transcription activator-like effector (TALE) proteins recognize DNA using a seemingly simple DNA-binding code, which makes them attractive for use in genome engineering technologies that require precise targeting. Although this code is used successfully to design TALEs to target specific sequences, off-target binding has been observed and is difficult to predict. Here we explore TALE-DNA interactions comprehensively by quantitatively assaying the DNA-binding specificities of 21 representative TALEs to ∼5,000-20,000 unique DNA sequences per protein using custom-designed protein-binding microarrays (PBMs). We find that protein context features exert significant influences on binding. Thus, the canonical recognition code does not fully capture the complexity of TALE-DNA binding. We used the PBM data to develop a computational model, Specificity Inference For TAL-Effector Design (SIFTED), to predict the DNA-binding specificity of any TALE. We provide SIFTED as a publicly available web tool that predicts potential genomic off-target sites for improved TALE design.
-
Subject:
-
Pubmed ID:26067805
-
Pubmed Central ID:PMC4467457
-
Document Type:
-
Funding:
-
Collection(s):
-
Main Document Checksum:
- File Type:
-
Supporting Files:
image/gif image/jpeg text/xml application/pdf image/gif image/jpeg image/gif image/jpeg image/gif image/jpeg image/gif image/jpeg
No Related Documents.