Genome engineering is undergoing a conceptual transition from the correction of individual sequence variants toward the programmable installation of larger functional genetic elements. CRISPR-associated nucleases established RNA-guided genome targeting as a broadly accessible technology, while base and prime editing subsequently demonstrated that precise sequence modification can be achieved without relying exclusively on DNA double-strand breaks. Nevertheless, efficient and controlled insertion of kilobase-scale DNA remains a substantially more difficult problem. Large-cargo integration is particularly attractive for genetically heterogeneous disorders because insertion of a complete coding sequence, a multi-exon therapeutic cassette, or another functional genetic module could restore gene activity across multiple pathogenic variants rather than requiring a separate editor for each mutation. Nature provides several mechanistically distinct solutions to large-scale DNA movement, including DNA transposases, site-specific recombinases, non-long terminal repeat retrotransposons, RNA-guided bridge recombinases, and CRISPR-associated transposases. Each platform offers a different balance among cargo capacity, targeting flexibility, integration efficiency, product architecture, and genomic specificity. Recent developments have increasingly focused on combining the catalytic efficiency of mobile genetic elements with programmable nucleic-acid recognition. Prime-editing-assisted recombinase systems, bridge RNA-guided recombination, retargeted R2 retrotransposition, and CRISPR-associated transposases exemplify this convergence. Particularly important advances in CRISPR-associated transposase engineering demonstrate that bacterial integration systems can be adapted for substantial activity in human cells, although increased activity may expose previously limited off-target pathways. This chapter examines the biological principles underlying programmable large-cargo insertion, compares the major emerging technological platforms, and discusses the engineering, delivery, specificity, product quality, and safety requirements that will determine their therapeutic potential. Collectively, these developments suggest that the next stage of genome engineering may extend beyond editing existing sequence toward the controlled writing of complete genetic functions into selected genomic locations.
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.
Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al.· Journal of Systems and Softw...· 78 citations· ⚡6
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.