ACS Applied Materials & Interfaces · 2019 · 94 citations · 36 references
Life SciencesBiotechnologyMolecular BiologyGene DeliveryGene TherapyGenome EditingCancer NanomedicineLipid-based NanoparticlesMessenger Rna DeliveryNanocarriers For TherapeuticsNanomedicineNucleic Acid DeliveryCrispr-cas9 Genome EditingGene-targeted TherapyLipid Nanoparticle DeliveryLipid NanoparticlesMessenger Rna TherapeuticsMrna DeliveryNanoparticle Cellular UptakeNucleic Acid Therapeutics
Messenger RNA (mRNA) represents an emerging class of nucleic acid therapeutics for genome editing and genetic disease treatment. Delivering exogenous mRNA selectively to cells, however, remains a main challenge to broaden the biomedical application of mRNA and develop targeted gene therapy. Herein, we report cell-selective mRNA delivery and CRISPR/Cas9 genome editing by modulating the interface of phenylboronic acid (PBA) derived lipid nanoparticles (NPs) and cellular surface sialic acid (SA). We design a cationic lipid featuring a PBA group, PBA-BADP, to self-assemble with mRNA into nanoparticles via electrostatic interactions. Importantly, these nanoparticles present free PBA groups on their surface, showing an enhanced cellular uptake by SA-overexpressing cancer cells via the interfacial PBA/SA interaction. It is shown that PBA-BADP/mRNA NPs transfection results in 300 times higher luciferase reporter gene expression in cancer cells than that in noncancer cells. Moreover, we demonstrate that the delivery of tumor suppressor p53 mRNA using PBA-BADP selectively prohibits cancer cell growth, while PBA-BADP/Cas9 mRNA NPs delivery knocks out gene expression of HeLa cancer cells in a much higher efficiency than noncancer cells. We believe these findings could further extend the modulation of PBA and cellular SA interface to advance mRNA delivery and genome editing for new gene therapy.
36
Easy quantitative assessment of genome editing by sequence trace decomposition
Eva K. Brinkman, Tao Chen, Mario Amendola et al. · Nucleic Acids Research · 2014 · 2.6K citations · Full text
Yuyu Niu, Bin Shen, Yiqiang Cui et al. · Cell · 2014 · 1K citations · Full text