Particle geometry can alter nanomedicine transport, yet its intrinsic contribution is difficult to define because shape engineering usually changes particle composition or surface chemistry. Here we use sonication to transform compositionally identical SN38 dimeric prodrug nanoassemblies from spheres into rods with aspect ratios of 6, 9 and 40. Geometry remodelled the plasma protein corona and directed the nanoassemblies towards distinct transport routes. Spheres and AR40 rods tent to recruit complement or acute-phase proteins and suffered from quick clearance in vivo, whereas AR9 rods enriched transport proteins, prolonging circulation but remaining largely confined to tumor perivascular regions. AR6 rods minimized complement deposition and enriched neutrophil‑associated proteins, resulting in sustained neutrophil hitchhiking, high tumor accumulation, and efficient delivery into the tumor parenchyma. At 12 h, AR6 rods achieved 29-fold greater tumor accumulation than compositionally identical spheres. AR6 rods exhibited the greatest antitumor efficacy in both CT26 colorectal and 4T1 breast tumor models, which are characterized by neutrophil enrichment. These findings identify particle geometry as a programmable regulator of nanoparticle transport in vivo and establish a general strategy for geometry engineering that preserves chemical composition, providing new design principles for next-generation nanomedicines.
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 sequence constraints.
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.