The Chikungunya virus (CHIKV) infection induces an acute illness and ongoing inflammatory symptoms, with macrophages believed to play significant yet not fully understood roles. To characterize host cellular responses associated with CHIKV infection, we performed mass spectrometry–based phosphoprotein enrichment-based proteomic analysis of CHIKV-infected RAW264.7 macrophages. Analysis of enriched phosphoproteins identified 2,096 altered proteins compared with mock-infected cells, of which 212 were differentially regulated, including 140 upregulated and 72 downregulated proteins (fold change ≥ 2,
p
< 0.05). Gene ontology enrichment analysis revealed that differentially regulated proteins were predominantly associated with cellular processes, biological regulation, and metabolic pathways, with molecular functions largely related to binding and catalytic activity, and localization primarily within intracellular compartments, including the cytoplasm and organelles. Notably, stress-response and protein homeostasis pathways were consistently enriched, including the upregulation of heat shock cognate 71 kDa protein (HSC71). Network analysis linked HSC71 to key cytosolic and metabolic regulatory pathways. Pharmacological inhibition of HSC71 resulted in reduced CHIKV replication without significant cytotoxicity. The findings indicate that host protein homeostasis and phosphorylation-dependent pathways may be implicated in CHIKV infection within macrophages. The direct mechanistic role of HSC71 requires further investigation, which could facilitate the future development of antiviral agents.
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.