Optimization of mRNA untranslated regions for improved expression of therapeutic mRNA.

Autor: Asrani KH; a Alexion Pharmaceuticals Inc. , Cambridge MA., Farelli JD; a Alexion Pharmaceuticals Inc. , Cambridge MA., Stahley MR; b Alexion Pharmaceuticals Inc. , New Haven CT., Miller RL; b Alexion Pharmaceuticals Inc. , New Haven CT., Cheng CJ; b Alexion Pharmaceuticals Inc. , New Haven CT., Subramanian RR; a Alexion Pharmaceuticals Inc. , Cambridge MA., Brown JM; a Alexion Pharmaceuticals Inc. , Cambridge MA.
Jazyk: angličtina
Zdroj: RNA biology [RNA Biol] 2018; Vol. 15 (6), pp. 756-762. Date of Electronic Publication: 2018 Mar 26.
DOI: 10.1080/15476286.2018.1450054
Abstrakt: mRNA based therapies hold great promise for the treatment of genetic diseases. However, this therapeutic approach suffers from multiple challenges including the short half-life of exogenously administered mRNA and subsequent protein production. Modulation of untranslated regions (UTR) represents one approach to enhance both mRNA stability and translation efficiency. The current studies describe and validate screening methods using a diverse set of 5'UTR and 3'UTR combinations for improved expression of the Arginase 1 (ARG1) protein, a potential therapeutic mRNA target. Data revealed a number of critical aspects which need to be considered when developing a screening approach for engineering mRNA improvements. First, plasmid-based screening methods do not correlate with protein expression driven by exogenously expressed mRNA. Second, improved ARG1 protein production was driven by increased translation and not improved mRNA stability. Finally, the 5' UTR appears to be the key driver in protein expression for exogenously delivered mRNA. From the testing of the combinatorial library, the 5'UTR for complement factor 3 (C3) and cytochrome p4502E1 (CYP2E1) showed the largest and most consistent increase in protein expression relative to a reference UTR. Collectively, these data provide important information for the development and optimization of therapeutic mRNAs.
Databáze: MEDLINE