Sep 2026· Indian Journal of Veterinary and Animal Sciences Research· 0 citations· 43 references
Cancer Research and Treatments
Abstract
Bacterial platforms are emerging as versatile systems for delivering heterologous antigens and therapeutic proteins, driven by advances in microbial engineering and insights into host–pathogen interactions. This review summarizes recent peer-reviewed literature on bacterial delivery platforms, focusing on their mechanisms, immunological properties, applications, and limitations. Major approaches including live attenuated bacteria, secretion systems, surface display technologies, spores, outer membrane vesicles (OMVs), and bacterial ghosts (BGs) enable targeted intracellular or mucosal delivery and can elicit strong humoral, cellular, and innate immune responses. Live vectors naturally target antigen-presenting cells, while secretion systems such as the Type III secretion system (T3SS) allow precise cytosolic delivery. Spores provide stable, low-cost vehicles, and OMVs and BGs offer non-replicating particulate platforms with intrinsic adjuvanticity. Despite their potential, each system faces limitations, including low immunogenicity (spores), LPS toxicity and variability (OMVs, BGs), biosafety concerns (live vectors), and size or folding constraints (secretion and surface-display systems). Advancements in synthetic biology, immunomodulation, and scalable manufacturing are needed to overcome these barriers. Collectively, bacterial delivery platforms hold significant promise for next-generation vaccines and therapeutic protein delivery.
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.