MYCN amplification is associated with poor outcomes in neuroblastoma (NB). MYCN encodes a transcription factor that induces the expression of mitochondrial one-carbon enzymes and chaperones, promoting metabolic reprogramming and aggressiveness in NB tumor cells. While the contribution of MYCN to changes in the mitochondrial proteome is well established, how mitochondrial proteostasis contributes to MYCN activity remains poorly understood. Mitochondrial HSP60 (HSPD1) is a conserved mitochondrial chaperone promoting the mitochondrial one-carbon pathway and mitochondrial translation by folding the one-carbon enzyme MTHFD2 and preventing aggregation of mitochondrial ribosomal proteins. Here, we show that HSPD1 depletion in MYCN-amplified NB cells led to reduced mitochondrial translation, MYCN expression, and tumorigenesis in vitro and in vivo. In addition, HSPD1 mRNA and protein correlate with MYCN expression in NB tumors. These results establish HSPD1 as a promising target for the treatment of MYCN-amplified NB.
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.
