Pancreatic beta cells face exceptional protein folding demands from high insulin production requirements, placing extraordinary stress on the endoplasmic reticulum (ER) and contributing to dysfunction in diabetes pathogenesis. Monitoring ER stress dynamics in living cells remains challenging due to the destructive nature of traditional biochemical methods and the limitations of existing fluorescent sensors. Here, we present Apollo-IRE1, a genetically encoded sensor that reports on stress-induced IRE1 oligomerization and associated change in homoFRET via changes in fluorescence anisotropy. Apollo-IRE1 provides a ratiometric, intensity-independent readout, resulting in low day-to-day variability and a minimal spectral bandwidth, enabling multiplexed imaging alongside other cellular parameters. Photobleaching and enhancement curve analysis show that Apollo-IRE1 exists in apparent monomeric, dimer-range, and higher-order oligomeric states corresponding to baseline, moderate, and terminal ER stress conditions. The sensor also responds rapidly to chemical and physiological ER stressors in both immortalized beta-cell lines and primary mouse islet cells. These data establish Apollo-IRE1 as a practical tool for investigating ER stress dynamics in beta cells and other contexts where longitudinal single-cell measurements are essential.
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.