Eukaryotic genomes are organized into chromatin, a highly compact structure in which DNA is packaged into nucleosomes. Nucleosome formation, where DNA is wrapped around histone proteins, is essential for genome stability. This compaction protects DNA from damage and regulates accessibility of genes. Nucleosomes must be disassembled and reassembled during DNA replication and repair. These processes require precise regulation of histone folding, transfer, and deposition by a diverse network of histone chaperones. Chromatin assembly factor 1 (CAF-1) is a conserved histone chaperone that specifically deposits newly synthesized histones during replication-coupled and repair-coupled nucleosome assembly. The sliding clamp proliferating cell nuclear antigen (PCNA) serves as a regulatory scaffold during these processes by recruiting CAF-1 and many other proteins to sites of DNA replication and repair. Recent structural and biochemical studies have revealed increasingly complex mechanisms underlying PCNA-mediated CAF-1 recruitment, involving multiple protein interaction motifs, DNA-binding domains, and regulatory mechanisms that ensure efficient nucleosome assembly. This review summarizes current advances in understanding the molecular mechanisms by which human and yeast CAF-1 complexes are recruited to sites of DNA synthesis and how CAF-1 function is coordinated with other histone chaperones during replication and repair. These studies have provided important insights into how cells coordinate DNA metabolism with epigenome maintenance to preserve genome integrity.
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.