This study shows that an allosteric activator of AMPK is sufficient to induce RPS24L and autophagy in normoxia in an ULK1-dependent, but mTORC1-independent manner and interacts with RPS24 mRNA and its autophagy-dependent decrease shifts splicing toward the RPS24L variant.
Abstract
All living organisms have developed complex mechanisms to detect and react to environmental changes to maintain internal balance and support survival. One strategy that cells employ to respond to stress is to refocus the translation machinery to express select stress response proteins, this includes the emerging field of specialized ribosomes. We have previously shown that a long splice variant of ribosomal protein S24 (RPS24L) is induced by several fold in hypoxic monolayers and spheroids in several human cell lines in an autophagy-dependent manner. Here, we show that an allosteric activator of AMPK is sufficient to induce RPS24L and autophagy in normoxia in an ULK1-dependent, but mTORC1-independent manner. Overexpression of RPS24L protected cells from serum starvation and hypoxia, while RPS24 short isoform overexpression during stress impaired autophagy and the ability for cells to survive relative to controls. We show that SRSF1 interacts with RPS24 mRNA and its autophagy-dependent decrease shifts splicing toward the RPS24L variant. This study provides new insights into the signaling and mechanisms that regulate a ribosomal protein splice isoform that protects cells from stress and that has been previously linked to cancer progression.
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.