Delivery of oligonucleotide-based therapeutics : challenges and opportunities

Funding Information: This work was supported by funding from Cooperation of Science and Technology (COST) Action CA17103 (networking grant to V.A-G). V.A-G holds a Miguel Servet Fellowship from the ISCIII [grant reference CPII17/00004] that is part-funded by the European Regional Development Fund (ERDF/FEDER) and also acknowledges funding from Ikerbasque (Basque Foundation for Science). S.M.H is funded by the Medical Research Council and Muscular Dystrophy UK. A.A-R receives funding from amongst others the Duchenne Parent Project, Spieren voor Spieren, the Prinses Beatrix Spierfonds, Duchenne UK and through Horizon2020 project BIND. A.G and R.W.J.C are supported by several foundations including the Algemene Nederlandse Vereniging ter Voorkoming van Blindheid, Stichting Blinden-Penning, Landelijke Stichting voor Blinden en Slechtzienden, Stichting Oogfonds Nederland, Stichting Macula Degeneratie Fonds, and Stichting Retina Nederland Fonds (who contributed through UitZicht 2015-31 and 2018-21), together with the Rotterdamse Stichting Blindenbelangen, Stichting Blindenhulp, Stichting tot Verbetering van het Lot der Blinden, Stichting voor Ooglijders, and Stichting Dowilvo; as well as the Foundation Fighting Blindness USA, grant no. PPA-0517-0717-RAD. R.A.M.B is supported by Hersenstichting Nederland Grant DR-2018-00253. G.G. is supported by Ministry of Research and Innovation in Romania/National Program 31N/2016/PN 16.22.02.05. S.A is supported by Project PTDC/BBB-BMD/6301/2014 (Funda??o para a Ci?ncia e a Tecnologia?MCTES, Portugal). L.R.D. is supported by Fundaci?n Ram?n Areces Grant XVII CN and Spanish Ministry of Science and Innovation (MICINN, grant PID2019-105344RB-I00). T.L is supported by Estonian Research Council grant PSG226. S.K is supported by the Friedrich-Baur-Stiftung. C.F is funded by The Danish Council for Independent Research, Technology and Production Sciences (grant number DFF-4184-00422). W.vRM is supported by ZonMw Programme Translational Research 2 [Project number 446002002], Campaign Team Huntington and AFM Telethon [Project number 20577]. S.E.B is supported by the H2020 projects B-SMART, Grant number 721058, and REFINE, Grant number 761104. A.T.G is supported by the Institut National de la sant? et la recherche m?dicale (INSERM) and the Association Monegasque contre les myopathies (AMM). L.E. is founded by the Association Monegasque contre les myopathies (AMM). Publisher Copyright: © 2021 The Authors. Published under the terms of the CC BY 4.0 licenseNucleic acid-based therapeutics that regulate gene expression have been developed towards clinical use at a steady pace for several decades, but in recent years the field has been accelerating. To date, there are 11 marketed products based on antisense oligonucleotides, aptamers and small interfering RNAs, and many others are in the pipeline for both academia and industry. A major technology trigger for this development has been progress in oligonucleotide chemistry to improve the drug properties and reduce cost of goods, but the main hurdle for the application to a wider range of disorders is delivery to target tissues. The adoption of delivery technologies, such as conjugates or nanoparticles, has been a game changer for many therapeutic indications, but many others are still awaiting their eureka moment. Here, we cover the variety of methods developed to deliver nucleic acid-based therapeutics across biological barriers and the model systems used to test them. We discuss important safety considerations and regulatory requirements for synthetic oligonucleotide chemistries and the hurdles for translating laboratory breakthroughs to the clinic. Recent advances in the delivery of nucleic acid-based therapeutics and in the development of model systems, as well as safety considerations and regulatory requirements for synthetic oligonucleotide chemistries are discussed in this review on oligonucleotide-based therapeutics.publishersversionPeer reviewe

Study of transcriptional factors which regulate the enhancer activity of a VNTR located within the SIRT3 gene

Dottorato di Ricerca in: Molecular Bio-pathology, Ciclo XIX, a.a. 2006University of Calabri

Double-target Antisense U1snRNAs Correct Mis-splicing Due to c.639+861C>T and c.639+919G>A GLA Deep Intronic Mutations

Fabry disease is a rare X-linked lysosomal storage disorder caused by deficiency of the α-galactosidase A (α-Gal A) enzyme, which is encoded by the GLA gene. GLA transcription in humans produces a major mRNA encoding α-Gal A and a minor mRNA of unknown function, which retains a 57-nucleotide-long cryptic exon between exons 4 and 5, bearing a premature termination codon. NM_000169.2:c.639+861C>T and NM_000169.2:c.639+919G>A GLA deep intronic mutations have been described to cause Fabry disease by inducing overexpression of the alternatively spliced mRNA, along with a dramatic decrease in the major one. Here, we built a wild-type GLA minigene and two minigenes that carry mutations c.639+861C>T and c.639+919G>A. Once transfected into cells, the minigenes recapitulate the molecular patterns observed in patients, at the mRNA, protein, and enzymatic level. We constructed a set of specific double-target U1asRNAs to correct c.639+861C>T and c.639+919G>A GLA mutations. Efficacy of U1asRNAs in inducing the skipping of the cryptic exon was evaluated upon their transient co-transfection with the minigenes in COS-1 cells, by real-time polymerase chain reaction (PCR), western blot analysis, and α-Gal A enzyme assay. We identified a set of U1asRNAs that efficiently restored α-Gal A enzyme activity and the correct splicing pathways in reporter minigenes. We also identified a unique U1asRNA correcting both mutations as efficently as the mutation-specific U1asRNAs. Our study proves that an exon skipping-based approach recovering α-Gal A activity in the c.639+861C>T and c.639+919G>A GLA mutations is active

High-Throughput Microscopy Analysis of Mitochondrial Membrane Potential in 2D and 3D Models

Recent proteomic, metabolomic, and transcriptomic studies have highlighted a connection between changes in mitochondria physiology and cellular pathophysiological mechanisms. Secondary assays to assess the function of these organelles appear fundamental to validate these -omics findings. Although mitochondrial membrane potential is widely recognized as an indicator of mitochondrial activity, high-content imaging-based approaches coupled to multiparametric to measure it have not been established yet. In this paper, we describe a methodology for the unbiased high-throughput quantification of mitochondrial membrane potential in vitro, which is suitable for 2D to 3D models. We successfully used our method to analyze mitochondrial membrane potential in monolayers of human fibroblasts, neural stem cells, spheroids, and isolated muscle fibers. Moreover, by combining automated image analysis and machine learning, we were able to discriminate melanoma cells from macrophages in co-culture and to analyze the subpopulations separately. Our data demonstrated that our method is a widely applicable strategy for large-scale profiling of mitochondrial activity