In this study, we developed a library of mRNA lipid nanoparticles (LNPs) containing clinically used ionizable lipids. We surface-modified these nanoparticles with heparosan polysaccharides and systematically compared their performance with conventional poly(ethylene glycol) (PEG)-modified formulations. Our heparosan (HEP)-coated LNPs increased mRNA expression in dendritic and macrophage cell lines by up to ∼10-fold. Mechanistic studies using live-cell imaging and intracellular nanoparticle trafficking analysis revealed that HEP-modified LNPs exhibited reduced colocalization with late endosomal (Rab7+) and lysosomal (LAMP1+) compartments. These findings are consistent with enhanced endosomal escape of HEP-modified formulations. Repeated subcutaneous administrations of HEP-modified firefly luciferase mRNA-LNPs demonstrated sustained expression and distinct response dynamics in mice. We further observed significantly enhanced humoral anti-spike protein immune responses in mice after subcutaneous administration of HEP-modified LNPs containing SARS-CoV-2 spike S-2P mRNA. Histopathological evaluation and spleen immune cell profiling showed no observable toxicity or adverse effects. Overall, these results demonstrate the effects of HEP surface modification on mRNA LNP expression, intracellular trafficking, and in vivo activity, and support HEP-based surface engineering as a PEG-free approach for nucleic acid delivery and potential future applications in nanomedicine.
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.