Durable and efficient gene silencing in vivo by hit-and-run epigenome editing.
Martino Alfredo CappellutiValeria Mollica PoetaSara ValsoniPiergiuseppe QuaratoSimone MerlinIvan MerelliAngelo LombardoPublished in: Nature (2024)
Permanent epigenetic silencing using programmable editors equipped with transcriptional repressors holds great promise for the treatment of human diseases 1-3 . However, to unlock its full therapeutic potential, an experimental confirmation of durable epigenetic silencing after the delivery of transient delivery of editors in vivo is needed. To this end, here we targeted Pcsk9, a gene expressed in hepatocytes that is involved in cholesterol homeostasis. In vitro screening of different editor designs indicated that zinc-finger proteins were the best-performing DNA-binding platform for efficient silencing of mouse Pcsk9. A single administration of lipid nanoparticles loaded with the editors' mRNAs almost halved the circulating levels of PCSK9 for nearly one year in mice. Notably, Pcsk9 silencing and accompanying epigenetic repressive marks also persisted after forced liver regeneration, further corroborating the heritability of the newly installed epigenetic state. Improvements in construct design resulted in the development of an all-in-one configuration that we term evolved engineered transcriptional repressor (EvoETR). This design, which is characterized by a high specificity profile, further reduced the circulating levels of PCSK9 in mice with an efficiency comparable with that obtained through conventional gene editing, but without causing DNA breaks. Our study lays the foundation for the development of in vivo therapeutics that are based on epigenetic silencing.
Keyphrases
- dna methylation
- gene expression
- low density lipoprotein
- dna binding
- genome wide
- transcription factor
- endothelial cells
- crispr cas
- stem cells
- cancer therapy
- high fat diet induced
- drug delivery
- preterm infants
- small molecule
- oxidative stress
- artificial intelligence
- insulin resistance
- fatty acid
- deep learning
- wound healing
- metabolic syndrome
- pluripotent stem cells
- oxide nanoparticles