Transcription activator-like effectors (TALEs) have revolutionized the field of genome engineering. We present here a systematic assessment of TALE DNA recognition, using quantitative electrophoretic mobility shift assays and reporter gene activation assays. Within TALE proteins, tandem 34-amino acid repeats recognize one base pair each and direct sequence-specific DNA binding through repeat variable di-residues (RVDs). We found that RVD choice can affect affinity by four orders of magnitude, with the relative RVD contribution in the order NG > HD ∼ NN ≫ NI > NK. The NN repeat preferred the base G over A, whereas the NK repeat bound G with 103-fold lower affinity. We compared AvrBs3, a naturally occurring TALE that recognizes its target using some atypical RVD-base combinations, with a designed TALE that precisely matches ‘standard’ RVDs with the target bases. This comparison revealed unexpected differences in sensitivity to substitutions of the invariant 5′-T. Another surprising observation was that base mismatches at the 5′ end of the target site had more disruptive effects on affinity than those at the 3′ end, particularly in designed TALEs. These results provide evidence that TALE–DNA recognition exhibits a hitherto un-described polarity effect, in which the N-terminal repeats contribute more to affinity than C-terminal ones.

Clustered regularly interspaced short palindromic repeat (CRISPR) RNA-guided nucleases have gathered considerable excitement as a tool for genome engineering. However, questions remain about the specificity of target site recognition. Cleavage specificity is typically evaluated by low throughput assays (T7 endonuclease I assay, target amplification followed by high-throughput sequencing), which are limited to a subset of potential off-target sites. Here, we used ChIP-seq to examine genome-wide CRISPR binding specificity at gRNA-specific and gRNA-independent sites for two guide RNAs. RNA-guided Cas9 binding was highly specific to the target site while off-target binding occurred at much lower intensities. Cas9-bound regions were highly enriched in NGG sites, a sequence required for target site recognition by Streptococcus pyogenes Cas9. To determine the relationship between Cas9 binding and endonuclease activity, we applied targeted sequence capture, which allowed us to survey 1200 genomic loci simultaneously including potential off-target sites identified by ChIP-seq and by computational prediction. A high frequency of indels was observed at both target sites and one off-target site, while no cleavage activity could be detected at other ChIP-bound regions. Our results confirm the high-specificity of CRISPR endonucleases and demonstrate that sequence capture can be used as a high-throughput genome-wide approach to identify off-target activity.

Genome engineering--the ability to precisely alter the DNA information in living cells--is beginning to transform human genetics and genomics. Advances in tools and methods have enabled genetic modifications ranging from the "scarless" correction of a single base pair to the deletion of entire chromosomes. Targetable nucleases are leading the advances in this field, providing the tools to modify any gene in seemingly any organism with high efficiency. Targeted gene alterations have now been reported in more than 30 diverse species, ending the reign of mice as the exclusive model of mammalian genetics, and targetable nucleases have been used to modify more than 150 human genes and loci. A nuclease has also already entered clinical trials, signaling the beginning of genome engineering as therapy. The recent dramatic increase in the number of investigators using these techniques signifies a transition away from methods development toward a new age of exciting applications.

Zinc-finger nucleases (ZFNs) are important tools for genome engineering. Despite intense interest by many academic groups, the lack of robust noncommercial methods has hindered their widespread use. The modular assembly (MA) of ZFNs from publicly available one-finger archives provides a rapid method to create proteins that can recognize a very broad spectrum of DNA sequences. However, three-and four-finger arrays often fail to produce active nucleases. Efforts to improve the specificity of the one-finger archives have not increased the success rate above 25%, suggesting that the MA method might be inherently inefficient due to its insensitivity to context-dependent effects. Here we present the first systematic study on the effect of array length on ZFN activity. ZFNs composed of six-finger MA arrays produced mutations at 15 of 21 (71%) targeted loci in human and mouse cells. A novel drop-out linker scheme was used to rapidly assess three-to six-finger combinations, demonstrating that shorter arrays could improve activity in some cases. Analysis of 268 array variants revealed that half of MA ZFNs of any array composition that exceed an ab initio B-score cutoff of 15 were active. These results suggest that, when used appropriately, MA ZFNs are able to target more DNA sequences with higher success rates than other current methods.

Zinc finger nucleases (ZFN) have been used to direct precise modifications to the genetic information in living cells at high efficiency. An important consideration in the design of ZFNs is the number of zinc fingers that are required for efficient and specific cleavage. We examined dimeric ZFNs composed of 1+1, 2+2, 3+3, 4+4, 5+5 and 6+6 zinc fingers, targeting 6, 12, 18, 24, 30 and 36 bp, respectively. We found that 1+1 and 2+2 fingers supported neither in vitro cleavage nor single-strand annealing in a cell-based recombination assay. An optimum of ZFN activity was observed for 3+3 and 4+4 fingers. Surprisingly, 5+5 and 6+6 showed significantly reduced activity. While the extra fingers were not found to dramatically increase toxicity, directly inhibit recombination, or perturb the ZFN target site, we demonstrate the ability of subsets of three fingers in six-finger arrays to bind independently to regions of the target site, possibly explaining the decrease in activity. These results have important implications for the design of new ZFNs, as they show that in some cases an excess of fingers may actually decrease the performance of engineered multi-finger proteins. Maximum ZFN activity will require an optimization of both DNA binding affinity and specificity.