Non-additive interactions between environmental stressors, where biological responses to simultaneous stressors do not equal the sum of individual-stressor responses, commonly occur across organisms and environments. To enable predictions of organismal resilience to shifting patterns of environmental stressors, it is important to both identify these interactions and document the mechanisms underlying them. The supratidal copepod Tigriopus californicus demonstrates a non-additive, antagonistic pattern of increased heat tolerance when simultaneously exposed to high salinities. We investigated salinity's chronic and acute effects on heat tolerance in a northern population and quantified responses in protein abundance to hypersalinity and heat stress, both alone and in combination. The overall proteomic response to multiple stressors was non-additive and largely reflected that to high temperature. However, 42% of multi-stressor proteins were absent from either single-stressor response; we refer to these proteins that are only differentially abundant in the multi-stressor scenario as "emergent". Our results suggest that the increased heat tolerance of T. californicus conferred by hypersalinity may be driven by a combination of these emergent proteins, several proteins induced by hypersalinity in both single- and multi-stressor conditions that may contribute to cross-tolerance, and four proteins with additive abundance patterns (including a small heat shock protein). These candidate proteins play putative roles in several relevant processes including the heat shock response, protein folding, and regulation of metabolism and oxidative stress responses. Our results connect to prior whole-organism findings and highlight promising pathways for future investigation in the context of heat tolerance and multi-stressor interactions.
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.