Unknown

Dataset Information

0

Targeting non-coding RNA family members with artificial endonuclease XNAzymes.


ABSTRACT: Non-coding RNAs (ncRNAs) offer a wealth of therapeutic targets for a range of diseases. However, secondary structures and high similarity within sequence families make specific knockdown challenging. Here, we engineer a series of artificial oligonucleotide enzymes (XNAzymes) composed of 2'-deoxy-2'-fluoro-β-D-arabino nucleic acid (FANA) that specifically or preferentially cleave individual ncRNA family members under quasi-physiological conditions, including members of the classic microRNA cluster miR-17~92 (oncomiR-1) and the Y RNA hY5. We demonstrate self-assembly of three anti-miR XNAzymes into a biostable catalytic XNA nanostructure, which targets the cancer-associated microRNAs miR-17, miR-20a and miR-21. Our results provide a starting point for the development of XNAzymes as a platform technology for precision knockdown of specific non-coding RNAs, with the potential to reduce off-target effects compared with other nucleic acid technologies.

SUBMITTER: Donde MJ 

PROVIDER: S-EPMC9509326 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature

altmetric image

Publications

Targeting non-coding RNA family members with artificial endonuclease XNAzymes.

Donde Maria J MJ   Rochussen Adam M AM   Kapoor Saksham S   Taylor Alexander I AI  

Communications biology 20220924 1


Non-coding RNAs (ncRNAs) offer a wealth of therapeutic targets for a range of diseases. However, secondary structures and high similarity within sequence families make specific knockdown challenging. Here, we engineer a series of artificial oligonucleotide enzymes (XNAzymes) composed of 2'-deoxy-2'-fluoro-β-D-arabino nucleic acid (FANA) that specifically or preferentially cleave individual ncRNA family members under quasi-physiological conditions, including members of the classic microRNA cluste  ...[more]

Similar Datasets

| S-EPMC2978345 | biostudies-literature
| S-EPMC5150648 | biostudies-literature
| S-EPMC6582537 | biostudies-literature
| S-EPMC10229629 | biostudies-literature
| S-EPMC8482849 | biostudies-literature
| S-EPMC11274882 | biostudies-literature
| S-EPMC10290691 | biostudies-literature
| S-EPMC5342362 | biostudies-literature
| S-EPMC6491801 | biostudies-literature
| S-EPMC5108331 | biostudies-literature