Oct 2026· Frontiers in Bioengineering and Biotechnology· 0 citations· 27 references
Abstract
CRISPR/Cas9-based multi-gene knockout strategies are widely applied to engineer Chinese hamster ovary (CHO) cells, yet the impact of editing workflow on cellular outcomes remains poorly understood. Here, we systematically compare sequential and multiplex genome editing approaches to generate CHO cell lines lacking nine polysorbate (PS)-degrading hydrolases. Both strategies achieved comparable functional outcomes, markedly improving PS stability. However, they produced distinct phenotypic and transcriptomic trajectories. Sequential editing led to progressive declines in growth and viability, increased cell size and DNA content, and extensive transcriptomic remodeling. In contrast, multiplex editing resulted in milder phenotypic alterations and a substantially smaller transcriptional footprint, albeit with increased clone-to-clone heterogeneity. Transcriptome analyses revealed limited overlap between final states, indicating workflow-specific adaptation despite the same intended knockout set. Importantly, transcriptional changes were primarily associated with clonal selection and iterative manipulation rather than reflecting a shared response to the targeted knockouts themselves. These findings demonstrate that genome editing workflows can shape cellular phenotypes independently of intended genetic modifications. For cell line development, multiplex editing offers a strategy to reduce development time and limit undesirable drift when targeting non-essential genes, highlighting the need to consider engineering strategy as a critical design parameter.
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.