Aug 2026· Stem Cell Reviews and Reports· 0 citations· 71 references
Medicine
Abstract
Precise genome editing of induced pluripotent stem cells (iPSCs) using clustered regularly interspaced short palindromic repeats and CRISPR-associated protein 9 (CRISPR-Cas9) has opened unprecedented avenues for advancements in regenerative medicine and disease modelling. However, the establishment of isogenic single-cell-derived iPSC populations, particularly upon CRISPR-Cas9 gene editing modifications, is one of the major challenges still associated with these advanced methodologies relying on low-rate editing events and requiring defined clonogenicity. In response, we have developed a systematic, comprehensive and efficient workflow combining generation, genotyping and expansion of high-quality monoclonal iPSC lines following CRISPR-Cas9 genome editing. In particular, the protocol incorporates optimized single-cell cloning procedures for two commercially available dispensing platforms, one based on microfluidic imaging and the other on impedance technology, together with rapid droplet digital PCR (ddPCR)-based screening of non-homologous end joining (NHEJ) and homology-directed repair (HDR) outcomes. By combining gentle single-cell handling with advanced genotyping methodologies, the protocol enables efficient early assessment of editing outcomes before commitment to labour-intensive clonal derivation, thereby accelerating project timelines, minimising cell stress and loss, preserving genetic fidelity and supporting scalability. Coupled with precisely defined culture conditions tailored for post-seeding recovery, these approaches aim to improve iPSC viability and clonal outgrowth, achieving at least 60% in 96-well plate format within 10 days. Importantly, the protocol goes beyond step-by-step experimental instructions by providing comprehensive design strategies, decision-making criteria, and practical advice for avoiding and addressing the common pitfalls and unintended consequences of these advanced methods. Collectively, this integrated end-to-end approach provides a robust and high-throughput framework for the reliable production of monoclonal genome-edited iPSCs, thereby advancing translational research and the development of iPSC-based regenerative therapies and disease models.
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 experienced agile teams and organizations, connecting better to existing streams of research in more established fields, giving more attention to management-oriented approaches, and finally give more emphasis to the core ideas in agile software development in order to increase our understanding. We hope that this preliminary roadmap serves as a starting point for creating a common research agenda and enables the generation of fruitful discussions and research results from the field.
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 adoption of Agile methods in general, and Scrum in particular. Little, if anything, is empirically known about the application and adoption of Scrum in a multi-team and multi-project situation. The authors carried out an ethnographically informed longitudinal case study in industrial settings and closely followed how the Scrum method was adopted in a 20-person department, working in a simultaneous multi-project R&D environment. Altogether 10 challenges pertinent to the case of multi-team multi-project Scrum adoption were identified in the study. The authors contend that these results carry great relevance for other industrial teams. Future research avenues arising from the study are indicated.
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
AI is making software generation faster, but speed does not remove the need for expertise. As more work is delegated to AI, tacit knowledge may become one of the most important human advantages in software engineering. The post Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering appeared first on GPT-Lab.
MIT News · Artificial Intelligence· news.mit.eduSep 14, 2026
The “HardFlow” algorithm could help generative AI models produce high-quality outputs that obey strict requirements when “pretty close” doesn’t cut it.
MIT News · Artificial Intelligence· news.mit.eduSep 11, 2026
The handheld catheterization device AI-GUIDE, created by Lincoln Laboratory and Massachusetts General Hospital, promises improved health outcomes for injured service members and civilians.
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