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Systematic exploration of a class of hydrophobic unnatural base pairs yields multiple new candidates for the expansion of the genetic alphabet
We have developed a family of unnatural base pairs (UBPs), which rely on hydrophobic and packing interactions for pairing and which are well replicated and transcribed. While the pair formed between d5SICS and dNaM (d5SICS-dNaM) has received the most attention, and has been used to expand the geneti...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4176363/ https://www.ncbi.nlm.nih.gov/pubmed/25122747 http://dx.doi.org/10.1093/nar/gku715 |
Sumario: | We have developed a family of unnatural base pairs (UBPs), which rely on hydrophobic and packing interactions for pairing and which are well replicated and transcribed. While the pair formed between d5SICS and dNaM (d5SICS-dNaM) has received the most attention, and has been used to expand the genetic alphabet of a living organism, recent efforts have identified dTPT3-dNaM, which is replicated with even higher fidelity. These efforts also resulted in more UBPs than could be independently analyzed, and thus we now report a PCR-based screen to identify the most promising. While we found that dTPT3-dNaM is generally the most promising UBP, we identified several others that are replicated nearly as well and significantly better than d5SICS-dNaM, and are thus viable candidates for the expansion of the genetic alphabet of a living organism. Moreover, the results suggest that continued optimization should be possible, and that the putatively essential hydrogen-bond acceptor at the position ortho to the glycosidic linkage may not be required. These results clearly demonstrate the generality of hydrophobic forces for the control of base pairing within DNA, provide a wealth of new structure–activity relationship data and importantly identify multiple new candidates for in vivo evaluation and further optimization. |
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