Toxic protein aggregates can accumulate in the cytosol and within organelles of cells when protein quality control machinery fails. Here, we systematically analyzed the consequences of protein aggregation in mitochondria by targeting aggregation-prone proteins to the mitochondrial matrix in Saccharomyces cerevisiae and human cells. Mitochondrial aggregates sequestered mitoribosomal subunits and other RNA binding proteins (mito-RBPs). As a result, mitochondrial translation was disrupted, respiratory complexes were reduced, and growth under respiratory conditions was impaired. Ultimately, cells lost their mitochondrial DNA, culminating in high toxicity. We further showed that HSP60 folds proteins prone to sequestration by aggregates and that LONP1 is the major protease that degrades such proteins, thereby preventing aggregate formation. These findings reveal that protein aggregates sequester the same groups of proteins that are affected by a collapse of the proteostatic machinery. In conclusion, our results reveal a conserved mechanism underlying the toxic gain-of-function of mitochondrial aggregates in higher eukaryotes. These findings advance our understanding of how mitochondrial proteostatic stress in disease and aging may affect cell function.
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.