Mammalian gene switches enable programmable cell behavior. However, current switches on transcriptional and translational layers require de novo RNA and protein synthesis, and secreted outputs must additionally undergo folding, post-translational processing, and intracellular trafficking, imposing delays that limit rapid extracellular responses. Rapid secretion-control switches instead act on pre-synthesized proteins by controlling retention, trafficking, storage, or release. Most current platforms exploit the classical endoplasmic reticulum (ER)-Golgi pathway, including engineered stimulus-secretion coupling in specialized secretory cells and ER retention, retrieval-signal cleavage, or synchronized trafficking in general mammalian hosts. Although these strategies improve response kinetics, they remain limited by ER dependence, host-cell specificity, cargo compatibility, basal leakage, and post-release transport delays. Here, we review current secretion-control architectures and highlight unconventional protein secretion as an underexplored source of design principles for positioning regulatory control closer to terminal protein export and expanding the architectures available for mammalian secretion control.
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.