The gradual expansion and folding of the cortex are key factors in human cognitive evolution, yet their molecular underpinnings remain not well understood. Here we identify cyclin B1 interacting protein 1 (CCNB1IP1) gene as a key regulator of human brain evolution using tree shrew as an outgroup. In primates, CCNB1IP1 acquired brain expression and gradually increased its expression during evolution, mirroring the increase of cortical size and folding. Comparative analysis of cis-regulatory elements reveals evolutionary changes underlying the increase of CCNB1IP1 expression. Overexpression of CCNB1IP1 affects the cell cycle, increasing the abundance of basal progenitors and neurons. Mechanistically, we demonstrated that CCNB1IP1 represses the transcription factor E2F1 through the ubiquitin-mediated degradation pathway. Moreover, CCNB1IP1 knock-in can develop cortical folding in otherwise smooth mouse brains. These findings reveal that evolutionary changes in CCNB1IP1 expression have contributed to the enlargement and folding of the primate cortex.
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.
