Fasciolosis, mainly caused by the liver fluke Fasciola hepatica , is a globally distributed parasitic disease that affects both livestock and humans, generating significant economic losses and public health concerns. Current control strategies rely mainly on anthelmintic treatments, but the increasing emergence of drug-resistant parasite populations highlights the urgent need for alternative approaches. Although numerous vaccine candidates have been investigated over the past decades, the development of an effective commercial vaccine has been hindered by inconsistent protection across host species and experimental conditions, one of the main limitations being the difficulty in selecting and validating suitable antigens. We implemented a bioinformatic prioritization pipeline by integrating stage-specific proteomic datasets (including ex vivo, in vivo, and secretomes) of early F. hepatica infection. Candidates were selected based on their consistent detection across all datasets and analysed their structural stability, predicted solubility, and antigenic potential. Spatial localization of the prioritized proteins was evaluated using confocal immunofluorescence in newly excysted juveniles (FhNEJ) and migratory stages. Furthermore, a CRISPR-Cas9-based gene editing approach was established in FhNEJ to assess the feasibility of functional disruption at this stage. Comparative analysis identified a core proteome of six proteins consistently detected across all early infection datasets. From this set, cathepsin B3 (FhCB3), legumain 1 (FhLeg1), and serpin 1 (FhSrp1) were prioritized as high-potential vaccine antigens. Immunofluorescence confirmed that these proteins are localized on the parasite surface, ensuring their exposure to the host immune system. CRISPR-Cas9 induced targeted mutations with editing efficiencies of 3.2% for FhCB3 and 2.1% for FhLeg1, demonstrating the feasibility of CRISPR-based gene editing in FhNEJ. This study establishes an integrated framework for the rational prioritization of vaccine candidates and provides a technical milestone with the first application of CRISPR-Cas9 in FhNEJ. These findings support the use of host-exposed antigens as promising targets for the development of sustainable control strategies against fasciolosis.
Some claim that especially in the field of agile software development the research lags years behind of the practice. In this paper, we characterize the status and main challenges for research on agile software development, and propose a preliminary roadmap, focusing on providing more empirical research, primarily on e...
Torgeir Dingsøyr, T. Dybå, P. Abrahamsson· Agile Conference· 92 citations· ⚡7
The results indicate that software developers are a slightly happy population, but the need for limiting the unhappiness of developers remains, and 219 factors representing causes of unhappiness while developing software are identified.
D. Graziotin, Fabian Fagerholm, Xiaofeng Wang et al.· International Conference on...· 84 citations· ⚡6
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.
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The goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.
Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al.· arXiv.org· 62 citations· ⚡3
Agile methods continue to gain popularity. In particular, the Scrum method appears to be on the verge of becoming a de-facto standard in the industry, leading the so called Agile movement. While there are success stories and recommendations, there is little scientifically valid evidence of the challenges in the adoptio...
A. Marchenko, P. Abrahamsson· Agile Conference· 59 citations· ⚡11
A comprehensive overview of how enhanced sampling methods are reshaping the field, with a particular focus on the data-driven construction of collective variables, is provided.
Kai Zhu, Enrico Trizio, Jintu Zhang et al.· Chemical Reviews· 58 citations
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.