The DNA damage response preserves genome integrity by detecting DNA lesions, activating checkpoint signalling, and coordinating repair with cell-cycle control. Defective or incomplete repair can promote mutation accumulation, chromosomal instability, cancer development, and ageing-associated diseases. In this review, we discuss the human single-stranded DNA-binding proteins hSSB1 and hSSB2, with an emphasis on their roles in ssDNA-rich repair intermediates generated during double-strand break repair, replication stress, oxidative base damage, telomere maintenance, and selected ultraviolet-damage responses. Both proteins contain oligonucleotide/oligosaccharide-binding fold domains that support ssDNA recognition and provide platforms for protein–protein interactions within DNA repair and chromatin-associated pathways. Current evidence identifies hSSB1 as a major regulator of ataxia telangiectasia mutated (ATM)/MRE11–RAD50–NBS1 (MRN)-dependent double-strand break signalling, RAD51-associated homologous recombination, human 8-oxoguanine DNA glycosylase 1 (hOGG1)-mediated repair of 8-oxo-guanine, replication-fork stability, and telomere protection. By contrast, hSSB2 remains less extensively characterised and appears to act in more restricted or context-dependent settings, including the cellular response to ultraviolet-induced DNA damage. We also discuss how post-translational modifications, SOSS/Integrator-associated complexes, transcriptional regulation, and possible epigenetic mechanisms shape hSSB1 and hSSB2 function. Finally, we highlight unresolved questions concerning the extent of functional overlap between these paralogues, the lack of damage-context-specific genome-wide binding maps, and the need to validate whether altered hSSB1 or hSSB2 expression can be exploited as a biomarker or therapeutic vulnerability in cancer.
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.