Abstract
Transcription activator-like effector nucleases (TALENs) enable genome engineering in cell culture and many organisms. Recently, the GoldyTALEN scaffold was shown to readily introduce mutations in zebrafish (Danio rerio) and livestock through non-homologous end joining (NHEJ) and homology-directed repair (HDR). To deploy the GoldyTALEN system for high-throughput mutagenesis in model organisms, a simple design with high efficacy is desirable. We tested the in vivo efficacy of a simplified 15-RVD GoldyTALEN design (spacer between 13–20 bp and T nucleotide preceding each TALEN binding site) in zebrafish. All 14 tested TALEN pairs (100%) introduced small insertions and deletions at somatic efficacy ranging from 24 to 86%, and mutations were inheritable at high frequencies (18–100%). By co-injecting two GoldyTALEN pairs, inheritable deletions of a large genomic fragment up to 18 kb were successfully introduced at two different loci. In conclusion, these high efficiency 15-RVD GoldyTALENs are useful for high-throughput mutagenesis in diverse application including hypothesis testing from basic science to precision medicine.
Introduction
Custom restriction enzymes including zinc finger nucleases (ZFNs) and transcription activator-like effector nucleases (TALENs) are valuable tools in genome editing (for review, see Carlson, D.F. et al [1]). Both encode a FokI nuclease catalytic domain fused with a customizable DNA binding domain that determines their targeting specificity. The ability of ZFNs to introduce targeted double-stranded breaks in a genome can be used to introduce small insertion-deletions (indels) through non-homologous end joining (NHEJ) [2]–[12] in vivo or targeted sequence changes by homology directed repair (HDR) in vitro [13], [14]. Compared with ZFNs, TALENs have generated considerable interest because of their simple and straightforward cipher code that guides DNA binding domain design, which is based on a 33–35 amino acid repetitive sequence [15], [16]. Each repeat encodes a single nucleotide binding specificity determined by the Repeat Variable Di-residues (RVDs) [15], [16]. TALENs can therefore be customized for targeting genomic sequence by assembling corresponding RVDs through highly developed methods [17]–[21].
TALENs have been used extensively in genome editing in vitro and in vivo in cells [18], [22], [23] and in many diverse species [24]–[27]. Recently, we reported a GoldyTALEN scaffold [28] with high efficiency as compared to other previously reported TALEN systems [25], [29]–[32] or ZFNs [8], [32] in zebrafish genome editing. GoldyTALENs were able to not only introduce small insertion-deletions (indels) [26], [28], but also enable new genome engineering approaches like targeted mutations via HDR [28].
The TALEN field has been implementing a range of systems and design approaches. In addition to related but divergent scaffolds, there are other common differences in TALEN designs, including the use of alternate-style RVDs, RVD composition, length of the DNA binding motif, as well as the spacer length between TALEN arms; these various guidelines for TALEN designs have been published previously based on other scaffolds or model systems [17], [20], [33]–[35]. One recent study suggests that several of these rules do not dictate TALEN efficiency in zebrafish, however, leaving the community with little direction when deciding on TALEN design [32]. Given these diverse protocols with highly variable activities, a simple yet flexible GoldyTALEN design with a high success rate for generating active reagents would be a valuable addition to the science community. Here, we report a simplified 15-RVD TALEN design with high in vivo genome targeting efficiency. We used these TALENs to engineer with high success targeted large deletions in this increasingly important animal model system, the zebrafish.
Materials and Methods
Zebrafish
All zebrafish work was completed under pre-approved animal care and use guidelines approved by the Mayo Clinic Institutional Animal Care and Use Committee.
Design of GoldyTALENs
All TALEN pairs were designed using Mojo Hand software (www.talendesign.org) [36], which is a freely accessible web-based tool to design TALENs with editable parameters and other features including the identification of a unique restriction site in the spacer sequence (Figure 1). Initial design parameters included 15-RVD (or 14.5 TALE repeats) TALENs targeting sites with a T nucleotide 5′ upstream of TALEN targeting sites and spacer lengths between 11–20 base pair (bp) with a unique restriction site close to the middle of the spacer sequence for screening of small indels induced through NHEJ. Modifications were made to these parameters later in the study as described. Specificity of TALENs was examined using NCBI Primer-BLAST (Table S4). All loci were amplified from wild-type fish and sequence determined to avoid any polymorphisms or mismatches within the TALEN binding site or the spacer.
Synthesis of GoldyTALENs
All TALEN constructs were synthesized with the Golden Gate method [17] using the GoldyTALEN scaffold [28] (Figure 2). The highly active RVD NN was used to target G nucleotide rather than the lower activity RVDs NK [34] or NH [35]. In the first Golden Gate reaction, intermediate constructs containing TALE repeats 1 to 10 and 11–14 were separately synthesized in pFUS_A and pFUS_B4 vectors, respectively. The two TALE repeat arrays from pFUS_A and pFUS_B4 as well as the last half-repeat carried in either pLR-NI, -HD, -NN or –NG were combined in the second Golden Gate reaction in the RCIscript-GoldyTALEN expression vector. GoldyTALEN constructs were subsequently linearized by SacI, and mRNA encoding each TALEN arm was in vitro transcribed using the mMESSAGE mMachine T3 Kit (Life Technologies, Grand Island, NY, USA).
Injection of GoldyTALENs and screening for somatic mutations in zebrafish
The two mRNAs encoding each TALEN pair were injected into the cytoplasm of 1-cell stage wild-type zebrafish embryos, except the GFP(GM2) P1 TALEN pair that was injected into GFP transgenic line Tg(GBT309) [37]. Genomic DNA was extracted from both single and groups of 10 embryos at 48 hours-post-fertilization (hpf). Somatic small indels resulting from NHEJ were screened and quantified using a RFLP assay as previously described [28] (Table S5). To normalize variation between single embryos, TALEN activities were measured from genomic DNA extracted from a group of 10 embryos. Large deletions resulted from co-injecting 2 TALEN pairs were screened by PCR with primers flanking the 2 TALEN cutting sites (Table S5). Quantitative PCR (qPCR) with primers within the corresponding deleted fragments was used to estimate the percentage of large deletions in TALEN-injected embryos, with primers at an irrelevant locus used as an internal reference (Table S5). For all screening, only phenotypically normal embryos injected at the highest tolerated dose (>50% normal embryos at 48 hpf) (Table S6) were analyzed.
Screening for germline transmitted deletions
Phenotypically normal injected embryos (same batch of those screened for somatic mutations) were raised and tail fins were biopsied after 8-weeks to screen for maintenance of induced mutations, as described [28]. Fish with positive fin-clip results were subsequently out-crossed with wild-type fish after 12-weeks, and F1 progeny were screened for germline mutations.
Synthesis of pFUS_B4 collection
The complete collection of 256 pFUS_B4 (with all possible 4-RVD combination) used in the Golden Gate synthesis of 15-RVD TALENs was synthesized initially through a mix-reaction approach. Either NI, HD, NN or NG were added at position 1 and all 4-RVDs were added for position 2 to 4 in a single Golden Gate reaction to synthesized up to 256 possible pFUS_B4 clones in 4 reactions. Around 80% of possible combinations were identified through screening 192 colonies from each of the 4 reactions, and the remaining pFUS_B4 clones were synthesized individually
Statistical analysis
The TALEN activities were calculated as the means of three separate experiments with the standard error of the means. To analyze the relationship between TALEN activity and weak RVDs (NI and NG) composition, the linear correlation coefficient was defined from the plot of individual TALEN activities against their percentages of weak RVDs as defined [35].
Results
Somatic screening showed a high success rate of the 15-RVD GoldyTALEN design
TALENs are assembled as pairs for genome editing applications, with a wide range of lengths (9 to 30-RVD, including the final half repeat) for each arm reported to show activity [17]–[20], [35]. Notably, some TALENs as short as 15-RVDs (14.5 TALE repeats) have been shown to exhibit high activities [20], [27], consistent with the reported structural work demonstrating 15 bases of sequence recognition by TAL domains [38], [39]. Together, these data suggested that 15-RVD TALENs might be a simplified yet effective TALEN design approach. 15-RVD GoldyTALEN pairs (Figure 1) targeting nine loci in five zebrafish genes and GFP (Table S1) were designed based on these initial parameters (Figure 1 and see Methods section), and their in vivo activity was tested in zebrafish embryos. 11 out of 13 15-RVD GoldyTALEN pairs we tested showed efficient targeting, ranging from 24 to 84% chromosome conversion rate (Figure 3A and Figure S1). Two pairs targeting npm1b (NPM1B P1 and P2) showed significantly reduced activity compared to the other GoldyTALENs (Figure 4A and B). Bi-allelic chromosomal conversion, a hallmark of the GoldyTALEN system in zebrafish [28], was detected in 3 out of 13 TALEN pairs (Figure 3B).
Spacer length and the 5′ T nucleotide are important for TALEN activity
One recent study proposed a hypothesis to distinguish and predict high efficacy from low efficacy TALENs by suggesting that RVDs could be sorted into ‘strong’ or ‘weak’ categories [35]. To better understand the basic requirements of an active GoldyTALEN pair, we correlated TALEN activity with the composition of strong (HD, NN) or weak (NI, NG) RVDs as well as the spacer length. No direct correlation between TALEN activity and the relative composition of different RVDs was noted (correlation coefficient = −0.149, Figure S2 and S3). However, NPM1B P1 and P2 with significantly reduced activity had a shorter spacer of 12 and 11 bp while all other successful GoldyTALENs were ≥13 bp (Table 1). To test if the spacer length is critical for TALEN activity, both left (NPM1B P1 LS) and right arms (NPM1B P1 RS) of NPM1B P1 were redesigned for a longer spacer (15 bp) while keeping a 5′ T nucleotide in place (Figure 4A). Shifting either side of the pair significantly restored the 15-RVD TALEN activity to 83±7 and 71±8% (Figure 4B). Furthermore, the 5′ T nucleotide found upstream of most active TALEN binding sites was tested for its importance in GoldyTALEN activity. The right and left arms of IDH1 P1 and JAK2A P1, respectively, were shifted one base to remove the 5′ upstream T nucleotide (Figure 4C). Interestingly, the activity of these modified TALEN pairs (IDH1 P1 RM and JAK2A P1 LM) was greatly reduced to 15±4 and 9±2% (Figure 4D), unambiguously demonstrating an important functional role for this base in TALE DNA binding.
Table 1. Correlation of spacer lengths and somatic activities of 15-RVD GoldyTALENs.
TALEN Pair* | Spacer Length (bp) | Somatic Activities (% chromosomal conversion) |
IDH1 P1 | 16 | 86±3%* |
FLT3 P1 | 16 | 84±5%* |
FLT3 P2 | 15 | 83±4%* |
NPM1B P1 LN | 15 | 83±7%* |
JAK2A P1 | 19 | 78±9% |
NPM1B P1 RN | 15 | 71±8% |
FLT3 P3 | 14 | 67±6% |
GFP(GM2) P1 | 19 | 52±4% |
JAK2A P3 | 18 | 45±3% |
NPM1A P1 | 13 | 38±4% |
JAK2A P4 | 15 | 36±3% |
NPM1A P2 | 18 | 35±6% |
JAK2A P5 | 19 | 28±3% |
JAK2A P2 | 16 | 24±3% |
IDH1 P1 RM† | 17 | 15±4% |
JAK2A P1 LM† | 18 | 9±3% |
NPM1B P2 | 11 | 3±1% |
NPM1B P1 | 12 | 4±1% |
shown in decreasing order of activity.
modified without the 5′ T nucleotide at one of the TALEN arms.
Targeted deletion could be introduced by co-injecting two pairs of TALEN
Genetic nulls are classically defined as physical deficiencies in a particular locus. The high activity of GoldyTALENs and the early data from TALEN work using the silkworm [40] suggested that injecting two pairs of TALENs could be a viable approach to specifically delete a large contiguous region of the genome. To test whether 15-RVD GoldyTALENs would work in this capacity in zebrafish, either FLT3 P1 and P3 or JAK2A P1 and P4 TALEN pairs were injected into zebrafish embryos, an approach expected to delete fragments sized around 16 kilobases (kb) and 18 kb, respectively (Figure 5). PCR screening indicated a high penetrance of the expected large deletions by both TALEN combinations at the somatic cell level, detected in 81±11% (FLT3 P1/P3) and 84±9% (JAK2A P1/P4) of injected embryos. The percentage of deletion in injected embryos was 27±3% (FLT3 P1/P3) and 19±4% (JAK2A P1/P4) as estimated by qPCR.
Mutations introduced by 15-RVD TALENs are inheritable
To test if the small indels and large deletions induced by 15-RVD TALEN pairs were inheritable, embryos injected with FLT3 P2, NPM1B P1 LS, NPM1A P1 or NPM1A P2 as well as embryos co-injected with FLT3 P1/P3 or JAK2A P1/P4 were raised to sexual maturity. Injected fish with stable mutations in DNA from adult tail tissue were subsequently out-crossed and their progeny were screened for germline-transmitted mutations. Encouragingly, expected mutations from all six batches were transmitted to the germline at a high frequency. 18 to 100% of screened F0 embryos injected with a single GoldyTALEN pair carry germline mutations of small indels whereas 28 and 31% of screened F0 embryos carry germline mutations of large deletions, respectively, at flt3 and jak2a loci. (Figure 5B, Table S2 and S3).
Discussion
Recent advances in TALEN technology have shaped this custom restriction enzyme system into highly useful genome engineering tools. Designing an efficient TALEN pair is perhaps the most crucial step for successful genome engineering. The extensive nature of the reported guidelines have large variations in the description of critical details for achieving working activity with different TALEN systems suggesting that parameters controlling TALEN activity may be scaffold-specific. Given the high activity of the GoldyTALEN system described to date, we investigated flexibility and other constraints in the GoldyTALEN design. A 15-RVD design was initially chosen because 15 bp at both arms offered enough DNA binding specificity in silico (Table S4), and the GoldyTALENs targeting moesina with a 15-RVD right arm showed high activity in our previous study [28]. Recent studies also indicated that 15-RVD DNA targeting site is the minimum length for an effective TALEN [20] with minimal off-target effects [35]. In this study, we chose to use RVD NN to target all G residues because studies suggested that though NK or NH has higher specificity towards G residue, TALE domains with NN showed highest activity [34], [35]. Further study is needed to draw conclusions comparing the efficiency of NN and NH in the GoldyTALEN scaffold.
Initial screening data showed a high success rate with 12 out of 14 TALEN pairs showing somatic chromosomal conversion activity beyond 19%; the only 2 exceptional pairs were NPM1B P1 and P2. Since these TALENs had the shortest spacers (12 and 11 bp) among the cohort, we investigated if we could restore their activity by simply modifying the spacer. Extending the spacer of NPM1B P1 to 15 bp by shifting either left or right arm 3 bp while keeping other variables constant significantly restored the activity indicating that 15-RVD TALEN pairs need at least a 13 bp spacer. On the other hand, there is no clear correlation between TALEN activity and RVD compositions. Although both NPM1B P1 and P2 had a relatively high percentage of proposed ‘weak’ RVD (NI and NG), the high activity of NPM1B P1 LS and RS, sharing a similar RVD composition with NPM1B P1, suggests that spacer length is more important than RVD composition. In addition, to determine if the 5′ T nucleotide is necessary for TALEN activity, IDH1 P1 and JAK2A P1 were modified such that one of the TALEN arms did not follow a T nucleotide. Interestingly, removal of the T nucleotide at only one arm greatly reduced TALEN activity, highlighting the importance of the preceding nucleotide at least in the 15-RVD GoldyTALEN design.
The ability to obtain engineered modifications within the germline is crucial for genome editing. Consistent with our previous study with GoldyTALENs [28], small indels introduced by 15-RVD GoldyTALENs with relatively high (FLT3 P2, NPMB1 LS) or low (NPM1A P1, NPM1A P2) activities were transmitted to the germline at high frequencies. A larger genomic deletion could be introduced in vivo using two pairs of TALENs in the silkworm [40], and we investigated if these highly active 15-RVD GoldyTALENs could serve the same purpose. At both loci tested, large deletions up to 18 kb were successfully introduced and also transmitted through the germline with high efficiencies (13–58% transmission rate from individual founder fish to F1 offspring). This strategy could be employed to generate null zebrafish mutations at critical loci. Recently, Gupta et al [41] reported the deletion of large genomic sequences in zebrafish using a similar strategy. Their deletion frequency in somatic tissue of the F0 embryos and germline transmission rates ranged from 0.7–15% and 2–13%, respectively, which are lower than the results reported here. While deletion size differences and locus-specific effects may also contribute to the observed efficacy differences, we believe the higher efficiencies we noted may also result from higher activity of individual GoldyTALENs. The GoldyTALENs we used to generate large genomic deletions had activity ranging from 45–84% compared to the 15–61% activity rates reported by Gupta et al. Overall, the 15-RVD GoldyTALENs with spacers ranging from 13–19 bp represent an active design with high success rate. The only additional substantive design restriction is the requirement of the 5′T nucleotide upstream. This design can be easily employed by changing the default parameters of our TALEN design software, Mojo Hand (www.talendesign.org) [36]. The average number of TALEN targeting sites identified with unique restriction sites in the spacer reached 1513 per 1 kb of genomic fragments in the target loci used here (including overlapping binding sites), and the number still reached 216 per 1 kb even if we further restricted the spacer length to 15–17 bp. Given that the restriction recognition site in the spacer is not an absolute requirement with the development of melting curve analysis [42], the flexibility of this design enables efficient targeting almost anywhere in the genome.
Recently, the CRISPR-associated (Cas) (CRISPR/cas9) [43]–[45] system was reported to successfully introduce somatic indels in zebrafish [46], [47]. This RNA-guided system offers the advantage of easy assembly and the possibility of simultaneously introducing multiple mutations at the same time. Nevertheless, the present simple and flexible 15-RVD GoldyTALEN design (with spacer between 13–20 bp and T nucleotide preceding both TALEN binding site) offers noticeably higher somatic efficacy (averaging 58±6%) and overall success rates using the updated design parameters (100%) (Figure 6). The requirement of TALENs to work in pairs may also offer higher specificity compared with the 12–20 recognition nucleotides in the single-guide RNAs [44]. Finally, the reported 15-RVD TALEN assembly by the Golden Gate method is based on the 10 (pFUS_A)+4 (pFUS_B4)+1 (p-LR) architecture [17]. The 15-RVD design constraint offers a modified design approach whereby all possible pFUS_B clones could be pre-assembled. To accomplish this, each of the possible 256 pFUS_B4 clones were assembled into a single collection to facilitate future 15-RVD TALEN construction that is fully backward-compatible with the popular Golden Gate assembly platform of Cermak et al [17] and available through Addgene.
Supporting Information
Acknowledgments
We thank Jarryd Campbell, Patrick Blackburn, Colby Starker, Dan Carlson and Dan Voytas for their critical suggestions, Melissa McNulty for her technical support and all the staff in the Mayo Clinic Zebrafish Core Facility for excellent zebrafish husbandry.
Funding Statement
This work was funded by the State of Minnesota for the University of Minnesota Mayo Clinic Partnership grant H001274506, National Institutes of Health grants GM63904 and NIDDK P30DK084567, and the Mayo Foundation. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
References
- 1. Carlson DF, Fahrenkrug SC, Hackett PB (2012) Targeting DNA with Fingers and TALENs. Mol Ther Nucleic Acids 1: e3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Doyon Y, McCammon JM, Miller JC, Faraji F, Ngo C, et al. (2008) Heritable targeted gene disruption in zebrafish using designed zinc-finger nucleases. Nat. Biotechnol 26 ((6)) 702–708. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Woods IG, Schier AF (2008) Targeted mutagenesis in zebrafish. Nat Biotechnol 26 ((6)) 650–651. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Meng X, Noyes MB, Zhu LJ, Lawson ND, Wolfe SA (2008) Targeted gene inactivation in zebrafish using engineered zinc-finger nucleases. Nat Biotechnol 26 ((6)) 695–701. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Geurts AM, Cost GJ, Frewert Y, Zeitler B, Miller JC, et al. (2009) Knockout rats via embryo microinjection of zinc-finger nucleases. Science 325 ((5939)) 433. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Carbery ID, Ji D, Harrington A, Brown V, Weinstein EJ, et al. (2010) Targeted genome modification in mice using zinc-finger nucleases. Genetics 186 ((2)) 451–459. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Mashimo T, Takizawa A, Voigt B, Yoshimi K, Hiai H, et al. (2010) Generation of knockout rats with X-linked severe combined immunodeficiency (X-SCID) using zinc-finger nucleases. PLoS One 5 ((1)) e8870. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Sander JD, Dahlbory EJ, Goodwin MJ, Cade L, Zhang F, et al. (2011) Selection-free zinc-finger-nuclease engineering by context-dependent assembly (CoDA). Nat Methods 8 ((1)) 67–69. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Flisikowska T, Thorey IS, Offner S, Ros F, Lifke V, et al. (2011) Efficient immunoglobulin gene disruption and targeted replacement in rabbit using zinc finger nucleases. PLoS One 6 ((6)) e21045. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Whyte JJ, Zhao J, Wells KD, Smauel MS, Whitworth KM, et al. (2011) Gene targeting with zinc finger nucleases to produce cloned eGFP knockout pigs. Mol Reprod Dev 78 ((1)) 2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Hauschild J, Petersen B, Santiago Y, Queisser AL, Carnwath JW, et al. (2011) Efficient generation of a biallelic knockout in pigs using zinc-finger nucleases. Proc Natl Acad Sci USA 108 ((29)) 12013–12017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Wood AJ, Lo TW, Zeitler B, Pickle CS, Ralston EJ, et al. (2011) Targeted genome editing across species using ZFNs and TALENs. Science 333 ((6040)) 307. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Radecke S, Radecke F, Cathomen T, Schwarz K (2010) Zinc-finger nuclease-induced gene repair with oligodeoxynucleotides: wanted and unwanted target locus modifications. Mol Ther 18 ((4)): 743–753. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Chen F, Pruett-Miller SM, Huang Y, Gjoka M, Duda K, et al. (2011) High-frequency genome editing using ssDNA oligonucleotides with zinc-finger nucleases. Nat Methods 8 ((9)) 753–755. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Boch J, Scholze H, Schornack S, Landgraf A, Hahn S, et al. (2009) Breaking the code of DNA binding specificity of TAL-type III effectors. Science 326 ((5959)) 1509–1512. [DOI] [PubMed] [Google Scholar]
- 16. Moscou MJ, Bogdanove AJ (2009) A simple cipher governs DNA recognition by TAL effectors. Science 326 ((5959)): 1501. [DOI] [PubMed] [Google Scholar]
- 17. Cermak T, Doyle EL, Christian M, Wang L, Zhang Y, et al. (2011) Efficient design and assembly of custom TALEN and other TAL effector-based constructs for DNA targeting. Nucleic Acids Res 39 ((12)) e82. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Zhang F, Cong L, Lodato S, Kosuri S, Church GM, et al. (2011) Efficient construction of sequence-specific TAL effectors for modulating mammalian transcription. Nat Biotechnol 29 ((2)) 149–153. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Reyon D, Tsai SQ, Khayter C, Foden JA, Sander JD, et al. (2012) Flash assembly of TALENs for high-throughput genome editing. Nat Biotechnol 30 ((5)) 460–465. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Briggs AW, Rios X, Chari R, Yang L, Zhang F, et al. (2012) Iterative capped assembly: rapid and scalable synthesis of repeat-module DNA such as TAL effectors from individual monomers. Nucleic Acids Res 40 ((15)) e117. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Wang Z, Li J, Huang H, Wang G, Jiang M, et al. (2012) An Integrated Chip for the High-Throughput Synthesis of Transcription Activator-like Effectors. Angew Chem Int Ed 51 ((34)) 8505–8508. [DOI] [PubMed] [Google Scholar]
- 22. Miller JC, Tan S, Qiao G, Barlow KA, Wang J, et al. (2011) A TALE nuclease architecture for efficient genome editing. Nat Biotechnol 29 ((2)) 143–148. [DOI] [PubMed] [Google Scholar]
- 23. Hockemeyer D, Wang H, Kiani S, Lai CS, Gao Q, et al. (2011) Genetic engineering of human pluripotent cells using TALE nucleases. Nat Biotechnol 29 ((8)) 731–733. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Tesson L, Usal C, Ménoret S, Leung E, Niles BJ, et al. (2011) Knockout rats generated by embryo microinjection of TALENs. Nat Biotechnol 29 ((8)) 695–696. [DOI] [PubMed] [Google Scholar]
- 25. Cade L, Reyon D, Hwang WY, Tsai SQ, Patel S, et al. (2012) Highly efficient generation of heritable zebrafish gene mutations using homo- and heterodimeric TALENs. Nucleic Acids Res 40 ((16)) 8001–8010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Carlson DF, Tan W, Lillico SG, Stverakova D, Proudfoot C, et al. (2012) Efficient TALEN-mediated gene knockout in livestock. Proc Natl Acad Sci USA 109 ((43)): 17382–17387. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Zhang Y, Zhang F, Li X, Baller JA, Qi Y, et al. (2013) TALENs enable efficient plant genome engineering. Plant Physiol 161 ((1)) 20–27. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Bedell VM, Wang Y, Campbell JM, Poshusta TL, Starker CG, et al. (2012) In vivo genome editing using a high-efficiency TALEN system. Nature 491 ((7422)) 114–118. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Moore FE, Reyon D, Sander JD, Martinez SA, Blackburn JS, et al. (2012) Improved Somatic Mutagenesis in Zebrafish Using Transcription Activator-Like Effector Nucleases (TALENs). PLoS One 7 ((5)) e37877. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Sander JD, Cade L, Khayter C, Reyon D, Peterson RT, et al. (2012) Targeted gene disruption in somatic zebrafish cells using engineered TALENs. Nat Biotechnol 29 ((8)) 697–698. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Huang P, Xiao A, Zhou M, Zhu Z, Lin S, et al. (2012) Heritable gene targeting in zebrafish using customized TALENs. Nat Biotechnol 29 ((8)) 699–700. [DOI] [PubMed] [Google Scholar]
- 32. Chen S, Oikonomu G, Chiu CN, Niles BJ, Liu J, et al. (2013) A large-scale in vivo analysis reveals that TALENs are significantly more mutagenic than ZFNs generated using context-dependent assembly. Nucleic Acid Res 41 ((4)) 2769–2778. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Mussolino C, Morbitzer R, Lütge F, Dannemann N, Lahaye T, et al. (2011) A novel TALE nuclease scaffold enables high genome editing activity in combination with low toxicity. Nucleic Acid Res 39 ((21)) 9283–9293. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Christian ML, Demorest ZL, Starker CG, Osborn MJ, Nyguist MD, et al. (2012) Targeting G with TAL Effectors: A Comparison of Activities of TALENs onstructed with NN and NK Repeat Variable Di-Residues. PLoS One 7 ((9)) e45383. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Streubel J, Blücher C, Landgraf A. Boch J (2012) TAL effector RVD specificities and efficiencies. Nat Biotechnol 30 ((7)) 593–595. [DOI] [PubMed] [Google Scholar]
- 36. Neff KL, Argue DP, Ma AC, Han HB, Clark KJ, et al. (2013) Mojo hand, a TALEN design tool for genome editing applications. BMC Bioinformatics 14: 1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37. Clark KJ, Balciunas D, Pogoda HM, Ding Y, Westcot SE, et al. (2011) in vivo protein trapping produces a functional expression codex of the vertebrate proteome. Nat Methods 8 ((6)) 506–515. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Mak AN, Bradley P, Cernadas RA, Bogdanove AJ, Stoddard BL (2012) The Crystal Structure of TAL Effector PthXo1 Bound to Its DNA Target. Science 335 ((6069)) 716–719. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Deng D, Yan C, Pan X, Mahfouz M, Wang J, et al. (2012) Structural basis for sequence-specific recognition of DNA by TAL effectors. Science 335 ((6069)) 720–723. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Ma S, Zhang S, Wang F, Liu Y, Liu Y, et al. (2012) Highly Efficient and Specific Genome Editing in Silkworm Using Custom TALENs. PLoS One 7 ((9)) e45035. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Gupta A, Hall VL, Kok FO, Shin M, McNulty JC, et al. (2013) Targeted Chromosomal Deletions and Inversions in Zebrafish. Genome Res Epub ahead of print [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Dahlem TJ, Hoshijima K, Jurynec MJ, Gunther D, Starker CG, et al. (2012) Simple Methods for Generating and Detecting Locus-Specific Mutations Induced with TALENs in the Zebrafish Genome. PLoS One 8 ((8)) e1002861. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43. Jinek M, Chylinski K, Fonfara I, Hauer M, Doudna JA, et al. (2012) A Programmable Dual-RNA–Guided DNA Endonuclease in Adaptive Bacterial Immunity. Science 337 ((6096)) 816–821. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Mali P, Yang L, Esvelt KM, Aach J, Guell M, et al. (2013) RNA-Guided Human Genome Engineering via Cas9. Science 339 ((9121)): 823–826. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45. Cho SW, Kim S, Kim JM, Kim JS (2013) Targeted genome engineering in human cells with the Cas9 RNA-guided endonuclease. Nat Biotechnol 31 ((3)): 230–232. [DOI] [PubMed] [Google Scholar]
- 46. Hwang WY, Fu Y, Reyon D, Maeder ML, Tsai SQ, et al. (2013) Efficient genome editing in zebrafish using a CRISCR-Cas system. Nat Biotechnol 31 ((3)): 227–229. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47. Chang N, Sun C, Gao L, Zhu D, Xu X, et al. (2013) Genome editing with RNA-guided Cas9 nuclease in zebrafish embryos. Cell Res 23 ((4)) 465–472. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.