Sep 2026· Human Immunology· Vol 87 11, pp.
112091
· 0 citations· 56 references
Medicine
Abstract
Human leukocyte antigen (HLA)-G is an immunosuppressive molecule involved in inflammation and has been reported to be induced by viral infections. Although the upper airway is a major entry site for viral pathogens, the expression of HLA-G in the nasal mucosa and its regulatory mechanisms remain unclear. We investigated HLA-G expression in primary human nasal epithelial cells (HNECs) and whether it is regulated by Toll-like receptor (TLR) stimulation. HNECs were stimulated with TLR1-9 agonists. HLA-G mRNA expression was quantified by reverse transcription quantitative polymerase chain reaction (RT-qPCR), and HLA-G protein expression was assessed by Western blotting. HLA-G mRNA was detected in unstimulated HNECs. Among the TLR agonists tested, TLR3 (polyinosinic-polycytidylic acid [Poly(I:C)]) stimulation significantly upregulated HLA-G mRNA expression (2.85-fold, 95% confidence interval 1.98-4.10). HLA-G mRNA expression increased with Poly(I:C) concentration, with significant upregulation at 1 and 10 μg/mL and a significant dose-response trend. At 10 μg/mL, mRNA expression was significantly upregulated from 16 h onward. Western blotting revealed that Poly(I:C) stimulation significantly upregulated HLA-G protein expression. These findings demonstrate HLA-G expression in HNECs and its upregulation by Poly(I:C), suggesting that HLA-G may be regulated in response to dsRNA-triggered innate immune signaling in the nasal epithelium.
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.