Endocrine crosstalk between the liver and the brain regulates systemic energy homeostasis. However, this communication has not been comprehensively evaluated because identification of liver-derived proteins, or hepatokines, is difficult to define using bulk serum proteomics alone. To overcome this problem, we applied hepatocyte-restricted endoplasmic-reticulum–targeted TurboID (ER-TurboID) in vivo and recovered biotinylated, liver-secretion–competent proteins directly from specific brain regions, including the hypothalamus and hindbrain (nucleus of the solitary tract (NTS) and area postrema (AP)). Compared with AAV8-Null transduced controls, TurboID-expressing animals showed 3-to 21-fold enrichment of liver-expressed and predicted liver-secreted proteins among brain regions, with 81 canonical liver-secretome proteins, including multiple carboxylesterase (CES) family members. These results establish a method to identify novel secreted factors from peripheral tissues that can potentially act on specific brain regions.
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 sequence constraints.
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.
