Messenger RNA (mRNA) therapeutics offer a versatile platform for protein production, but preserving mRNA during delivery remains a major challenge. Here, we report that co-delivery of nucleotides with lipid nanoparticle (LNP)-formulated mRNA significantly enhances translation efficiency across multiple cell types. Systematic screening identifies adenosine triphosphate (ATP) and guanosine triphosphate (GTP) as effective enhancers, increasing protein expression by up to 13-fold, accompanied by ~6–8-fold increases in intracellular intact mRNA levels. The non-hydrolyzable nucleotide analogues adenylyl imidodiphosphate (AMP-PNP), guanylyl imidodiphosphate (GMP-PNP) retain comparable expression-enhancing activity, suggesting that the effect does not require phosphate-bond hydrolysis or canonical ATP/GTP-dependent energy supply. Mechanistic analyses show largely unchanged cellular uptake and endosomal escape under the tested conditions. Nucleotides delay the degradation of LNP-delivered mRNA in culture medium, protect purified mRNA against RNase A-mediated degradation, and reduce RNA-substrate cleavage in purified-enzyme and cell-lysate assays. Nucleotide co-encapsulation also improves reporter expression in mice following intramuscular administration. Together, these findings support mRNA preservation as a contributor to enhanced expression and suggest a transient protective environment during early delivery. This study provides mechanistic insights into nucleotide-assisted mRNA delivery and a basis for further development of mRNA vaccines and protein replacement therapies.
The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.
Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al.· Journal of Systems and Softw...· 111 citations· ⚡8
This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.
Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al.· Journal of Systems and Softw...· 78 citations· ⚡6
This paper highlights the challenges to conduct proper affect-related studies with psychology, provides a comprehensive literature review in affect theory, and proposes guidelines for conducting psychoempirical software engineering.
D. Graziotin, Xiaofeng Wang, P. Abrahamsson· SSE@SIGSOFT FSE· 56 citations· ⚡4
This study conducts a multiple case study on twenty European software startups and proposes a prototype-centric learning model in early stage software startups, and identifies factors that occur as barriers but also facilitators for prototyping in earlystage software startups.
Anh Nguyen-Duc, Xiaofeng Wang, P. Abrahamsson· International Conference on...· 44 citations· ⚡5
It is demonstrated that linker-free PROTACs can outperform traditional designs, marking a paradigm shift in PROTAC development for targeted protein degradation.
Pinal, a 16-billion-parameter foundation model that produces protein candidates from natural-language functional descriptions, supports natural language as a high-level interface for candidate generation in protein design, enabling programmable exploration with reduced reliance on manually specified structural or seque...
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.