Aug 2026· Encyclopedia of Life Sciences· pp. 1-10· 37 references
Abstract
Abstract Gene editing technologies have evolved significantly over the past few decades, revolutionising biomedical research and therapeutics. Initially, restriction enzymes provided researchers with basic tools for deoxyribonucleic acid (DNA) manipulation. However, the advent of engineered nucleases, such as zinc finger nucleases (ZFNs) and transcription activator‐like effector nucleases (TALENs), marked significant advancements for more precise and customisable genome modifications. The discovery of CRISPR–Cas9 further transformed gene editing, offering a more efficient, cost‐effective and versatile approach. The success of CRISPR in transgenic mouse generation and clinical trials is a testament to this. However, challenges such as off‐target effects, immunogenicity and ethical concerns surrounding germline editing and eugenics remain. This review will discuss the discovery, mechanisms and applications of gene editing tools as they have evolved. It will also introduce modern iterations of gene editing to tackle off‐target effects and the ethical responsibility that comes with it. Key Concepts Gene editing has evolved from restriction enzymes to programmable nucleases capable of precise genome modifications. Zinc finger nucleases were the first major platform for targeted DNA cleavage but came with technical challenges. Transcription activator‐like effector nucleases (TALENs) improved gene editing through simpler and more predictable DNA sequence recognition. CRISPR–Cas9 transformed gene editing by using guide RNA to direct efficient, low‐cost and scalable DNA targeting. Off‐target mutations, delivery barriers and immune responses remain major technical challenges for therapeutic gene editing. Newer iterations of the CRISPR–Cas system offer higher fidelity gene editing and applications beyond DNA cleavage. Germline editing, mosaicism, eugenics and informed consent remain central ethical concerns in gene editing.
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.
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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.