Nov 2026· Zoological Research· Vol 47 6, pp.
1839-1850
· 1 citation
Medicine
TL;DR
This study engineered a series of glycosidase guanine base editor (gGBE) constructs by inlaying the N-methylpurine DNA glycosylase (MPG) domain into Cas9 protein and generated zebrafish models carrying mutations homologous to human amyotrophic lateral sclerosis (ALS)-associated variants.
Abstract
Base editing is a powerful and precise genome-editing tool capable of introducing single-base substitutions with high resolution. Depending on the base-modification domains employed, base editors can mediate both transition and transversion base editing in mammalian cells. While deaminase-derived base editors have enabled efficient transition editing in the zebrafish genome, glycosidase-derived transversion editing remains a significant challenge. In this study, guided by structural insights into the Cas9 complex, we engineered a series of glycosidase guanine base editor (gGBE) constructs by inlaying the N-methylpurine DNA glycosylase (MPG) domain into Cas9 protein. Among these variants, we identified a high-performance gGBE in which MPG was inserted between residues G1246 and S1247 of the PI domain in Streptococcus pyogenes Cas9, which we named gGBE-PIGS. This variant improved editing efficiency by up to 3.5-fold in mammalian cells and 13-fold in zebrafish embryos, without compromising editing precision. Furthermore, we developed a gGBE-editing-responsive GFP reporter to monitor editing efficiency and enrich for gGBE-edited cells and embryos. Using a combination of the optimized gGBE-PIGS and the GFP reporter, we successfully generated zebrafish models carrying mutations homologous to human amyotrophic lateral sclerosis (ALS)-associated variants. Together, these findings highlight the robustness and versatility of the gGBE platform for precise base editing and underscore its promising potential for in vivo disease modeling and therapeutic genome engineering.
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.