This study investigated retinal proteomic alterations associated with type-1 diabetes mellitus (T1DM) using two mouse models of diabetic retinopathy (DR): the genetic Ins2akita/+ (Akita) model and streptozotocin (STZ)-induced diabetes. Retinas were collected from Akita (n = 4) and STZ-induced diabetic mice (n = 6) 15–16 weeks after the onset of diabetes and compared with age-matched controls. Quantitative mass spectrometry identified 7933 proteins in Akita retinas and 7399 proteins in STZ retinas. Differentially expressed proteins were identified using adjusted p-values and log2 fold-change, ranked by Manhattan distance, and visualized with volcano plots and heatmaps. The top 20 dysregulated proteins in each model were subjected to canonical pathway analysis. Both models demonstrated upregulation of inflammatory and angiogenesis-associated proteins, including LRRC58, coronin-2A, S100-A4, and COL4A2, supporting a pro-inflammatory and vascular remodeling microenvironment. However, several protein changes differed between the two models. For example, Crystallins were downregulated in the STZ model but upregulated in the Akita model, which were validated by western blot analysis. Canonical pathway analysis revealed activation of platelet-related signaling pathways, enrichment of lipid metabolic networks, and significant alterations in extracellular matrix organization. These findings indicate coordinated inflammatory, metabolic, and structural remodeling in DR and identify candidate molecular pathways for further investigation and therapeutic targeting.
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.