Zinc-finger nucleases (ZFNs) allow targeted gene inactivation in a wide range of model organisms. However, construction of target-specific ZFNs is technically challenging. Here, we evaluate a straightforward modular assembly-based approach for ZFN construction and gene inactivation in zebrafish. From an archive of 27 different zinc-finger modules, we assembled more than 70 different zinc-finger cassettes and evaluated their specificity using a bacterial one-hybrid assay. In parallel, we constructed ZFNs from these cassettes and tested their ability to induce lesions in zebrafish embryos. We found that the majority of zinc-finger proteins assembled from these modules have favorable specificities and nearly one-third of modular ZFNs generated lesions at their targets in the zebrafish genome. To facilitate the application of ZFNs within the zebrafish community we constructed a public database of sites in the zebrafish genome that can be targeted using this archive. Importantly, we generated new germline mutations in eight different genes, confirming that this is a viable platform for heritable gene inactivation in vertebrates. Characterization of one of these mutants, gata2a, revealed an unexpected role for this transcription factor in vascular development. This work provides a resource to allow targeted germline gene inactivation in zebrafish and highlights the benefit of a definitive reverse genetic strategy to reveal gene function.

Zinc finger nucleases (ZFNs) facilitate tailor-made genomic modifications in vivo through the creation of targeted double-stranded breaks. They have been employed to modify the genomes of plants and animals, and cell-based therapies utilizing ZFNs are undergoing clinical trials. However, many ZFNs display dose-dependent toxicity presumably due to the generation of undesired double-stranded breaks at off-target sites. To evaluate the parameters influencing the functional specificity of ZFNs, we compared the in vivo activity of ZFN variants targeting the zebrafish kdrl locus, which display both high on-target activity and dose-dependent toxicity. We evaluated their functional specificity by assessing lesion frequency at 141 potential off-target sites using Illumina sequencing. Only a minority of these off-target sites accumulated lesions, where the thermodynamics of zinc finger-DNA recognition appear to be a defining feature of active sites. Surprisingly, we observed that both the specificity of the incorporated zinc fingers and the choice of the engineered nuclease domain could independently influence the fidelity of these ZFNs. The results of this study have implications for the assessment of likely off-target sites within a genome and point to both zinc finger-dependent and -independent characteristics that can be tailored to create ZFNs with greater precision.

Direct genomic manipulation at a specific locus is still not feasible in most vertebrate model organisms. In vertebrate cell lines, genomic lesions at a specific site have been introduced using zinc-finger nucleases (ZFNs). Here we adapt this technology to create targeted mutations in the zebrafish germ line. ZFNs were engineered that recognize sequences in the zebrafish ortholog of the vascular endothelial growth factor-2 receptor, kdr (also known as kdra). Co-injection of mRNAs encoding these ZFNs into one-cell-stage zebrafish embryos led to mutagenic lesions at the target site that were transmitted through the germ line with high frequency. The use of engineered ZFNs to introduce heritable mutations into a genome obviates the need for embryonic stem cell lines and should be applicable to most animal species for which early-stage embryos are easily accessible.

Specificity data for groups of transcription factors (TFs) in a common regulatory network can be used to computationally identify the location of cis-regulatory modules in a genome. The primary limitation for this type of analysis is the paucity of specificity data that is available for the majority of TFs. We describe an omega-based bacterial one-hybrid system that provides a rapid method for characterizing DNA-binding specificities on a genome-wide scale. Using this system, 35 members of the Drosophila melanogaster segmentation network have been characterized, including representative members of all of the major classes of DNA-binding domains. A suite of web-based tools was created that uses this binding site dataset and phylogenetic comparisons to identify cis-regulatory modules throughout the fly genome. These tools allow specificities for any combination of factors to be used to perform rapid local or genome-wide searches for cis-regulatory modules. The utility of these factor specificities and tools is demonstrated on the well-characterized segmentation network. By incorporating specificity data on an additional 66 factors that we have characterized, our tools utilize approximately 14% of the predicted factors within the fly genome and provide an important new community resource for the identification of cis-regulatory modules.

The C2H2 zinc finger is the most commonly utilized framework for engineering DNA-binding domains with novel specificities. Many different selection strategies have been developed to identify individual fingers that possess a particular DNA-binding specificity from a randomized library. In these experiments, each finger is selected in the context of a constant finger framework that ensures the identification of clones with a desired specificity by properly positioning the randomized finger on the DNA template. Following a successful selection, multiple zinc-finger clones are typically recovered that share similarities in the sequences of their DNA-recognition helices. In principle, each of the clones isolated from a selection is a candidate for assembly into a larger multi-finger protein, but to date a high-throughput method for identifying the most specific candidates for incorporation into a final multi-finger protein has not been available. Here we describe the development of a specificity profiling system that facilitates rapid and inexpensive characterization of engineered zinc-finger modules. Moreover, we demonstrate that specificity data collected using this system can be employed to rationally design zinc fingers with improved DNA-binding specificities.

Bacterial-based interaction trap systems provide a powerful method to identify interacting macromolecules. When carried out in the context of a genetic selection, interacting pairs can be rapidly isolated from large combinatorial libraries. This technology has been adapted to allow the identification of DNA-binding sequences for a transcription factor (TF) from a large randomized library. This procedure uses a library of randomized binding sites upstream of a cocistronic HIS3-URA3 reporter cassette. The URA3 reporter allows self-activating sequences to be removed from the library through counter-selection. The HIS3 reporter allows sequences that are recognized by a TF to be isolated from the library, where transcriptional activation is mediated by fusion of the TF to the alpha-subunit of RNA polymerase. This technology can be used to characterize monomeric, homodimeric and heterodimeric DNA-binding domains and, once a suitable library is constructed, binding sites can be identified in approximately 10 d. The bacterial one-hybrid system allows larger libraries to be searched than the corresponding yeast one-hybrid system and, unlike SELEX, it does not require purification of the TF(s). The complexity of the binding site libraries that can be searched using the bacterial system is, however, more limited than SELEX, and some eukaryotic factors may not express or fold efficiently in the bacterial system.

Counter-selectable markers can be used in two-hybrid systems to search libraries for a protein or compound that interferes with a macromolecular interaction or to identify macromolecules from a population that cannot mediate a particular interaction. In this report, we describe the adaptation of the yeast URA3/5-FOA counter-selection system for use in bacterial interaction trap experiments. Two different URA3 reporter systems were developed that allow robust counter-selection: (i) a single copy F' episome reporter and (ii) a co-cistronic HIS3-URA3 reporter vector. The HIS3-URA3 reporter can be used for either positive or negative selections in appropriate bacterial strains. These reagents extend the utility of the bacterial two-hybrid system as an alternative to its yeast-based counterpart.

The DNA-binding specificities of transcription factors can be used to computationally predict cis-regulatory modules (CRMs) that regulate gene expression. However, the absence of specificity data for the majority of transcription factors limits the widespread implementation of this approach. We have developed a bacterial one-hybrid system that provides a simple and rapid method to determine the DNA-binding specificity of a transcription factor. Using this technology, we successfully determined the DNA-binding specificity of seven previously characterized transcription factors and one novel transcription factor, the Drosophila melanogaster factor Odd-skipped. Regulatory targets of Odd-skipped were successfully predicted using this information, demonstrating that the data produced by the bacterial one-hybrid system are relevant to in vivo function.