Sep 2026· Current Opinion in Chemical Biology· Vol 95, pp.
102768
· 0 citations· 59 references
Medicine
Abstract
DNA origami technique has established programmable nucleic acid nanostructures as a promising platform for biomedical applications. Incorporating RNA as the origami scaffold extends this potential into direct cytoplasmic activity, enabling transient protein expression without nuclear entry. However, RNA's distinct molecular structure and chemical lability impose design constraints with no equivalent in DNA-only systems, and the criteria for achieving robust intracellular gene expression from these hybrid constructs remain incompletely understood. This review synthesizes the current design principles governing mRNA-DNA hybrid origami assembly, including helicity adjustment, crossover geometry and folding condition optimization. It also examines the structural requirements for translational competence, where staple coverage of the 5' UTR eliminates expression and endosomal escape remains the primary delivery bottleneck. While hybrid origami systems have advanced, their immunological profile remains uncharacterized, and manufacturing scalability is unaddressed. Recent evidence that mRNA compaction alone can substantially enhance protein production in vivo suggests that scaffold-directed folding can offer advantages beyond nuclease protection. Establishing design rules that co-optimize structural integrity, translation competence, and immunological compatibility will be essential for translating mRNA scaffolded structures toward therapeutic applications.
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.