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Predictive Model for the Sequence-Dependent Fluorogenic Response of Forced-Intercalation Peptide Nucleic Acid

[Image: see text] The forced-intercalation peptide nucleic acid (FIT-PNA) concept, introduced by Seitz and co-workers, is based on replacing a nucleobase of the PNA sequence with a cyanine dye (such as thiazole orange). The cyanine dye is thus a surrogate base that is forced to intercalate in the du...

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Detalles Bibliográficos
Autores principales: Peled, Itamar, Yavin, Eylon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2018
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6045369/
https://www.ncbi.nlm.nih.gov/pubmed/30023882
http://dx.doi.org/10.1021/acsomega.8b00184
Descripción
Sumario:[Image: see text] The forced-intercalation peptide nucleic acid (FIT-PNA) concept, introduced by Seitz and co-workers, is based on replacing a nucleobase of the PNA sequence with a cyanine dye (such as thiazole orange). The cyanine dye is thus a surrogate base that is forced to intercalate in the duplex (e.g., PNA:DNA). This allows single-mismatch sensitivity as the introduction of a mismatch in the vicinity of the dye increases freedom of motion and leads to a significant depletion of its fluorescence because of the free rotation of the monomethine bond separating the two π-systems of the cyanine dye. Herein, we designed and synthesized six FIT-PNA probes, featuring bisquinoline (BisQ), a red-emitting cyanine dye recently developed in our laboratory for FIT-PNAs. By following PNA–DNA duplex fluorescence, we found new sequence-based factors governing the fluorescence response to the mismatched FIT-PNA:DNA duplex. Fluorogenic properties are correlated with the π-stacking energy of three distinctive base pair steps (BPSs) in the PNA:DNA duplex. The first two are the two BPSs opposite BisQ, whereas the third is the BPS of the mismatch position, which presumably becomes unstacked due to the mismatch. We suggest a predictive model for FIT-PNA single-mismatch detection mechanism, a model that can be used in future research to improve FIT-PNA design.