Collagen, the most abundant protein in the extracellular matrix of mammalian cells, is a key biomaterial in various biotechnological and therapeutic applications, such as tissue engineering and regeneration, cosmetics, and cultivated meat. Despite the increasing demand for culture-based collagen, it is still mainly produced from animal connective tissues. A recent study has shown that under hypoxia, activation of the hypoxia-inducible factor (HIF) leads to enhanced type I collagen biosynthesis. However, under normal oxygen conditions, HIF activity is downregulated by the HIF-prolyl hydroxylase (PHD) enzyme. Based on these previous findings, we hypothesized that inhibiting PHD activity by exogenous modulators could mimic hypoxia, leading to elevated HIF transcriptional activity and enhancing collagen biosynthesis under normoxia. Our study demonstrates that pharmacological PHD inhibition using a set of small molecules targeting their 2-oxoglutarate (2-OG)-dependent activity is associated with enhanced HIF activity, upregulation of key-collagen modifying enzymes, including collagen prolyl 4-hydroxylases and lysyl hydroxylases, accompanied by a 10- to 29-fold increase in collagen type I fluorescence intensity in NIH/3T3 embryonic mouse fibroblast cells. These findings show that targeting PHD can effectively enhance collagen production in mammalian cells, suggesting that the modulation of intracellular key protein signaling pathways presents a promising strategy for enhancing the production of culture-based collagen.
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.