This paper explores the application of dynamic topology optimization techniques to biological networks, aiming to enhance drug discovery and gene editing. Biological networks, complex systems of interconnected nodes and edges, are increasingly utilized in various fields. Traditional optimization methods often rely on f...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
Dual-use research of concern (DURC)—legitimate life-science research that could be misapplied to cause significant harm—has become an increasingly urgent policy challenge. Advances in synthetic biology, gene editing, and artificial intelligence have expanded both the pace and diffusion of high-risk biological work, whi...
Rui-Han Zhang· Frontiers in Bioengineering...· 0 citations
This article presents a narrative review of CRISPR and the Editing of the Genome in the context of Biology. The literature on this topic has expanded substantially over recent decades, yet it remains fragmented across subfields, methods, and national research traditions. Drawing on an interpretive synthesis of represen...
Zen Revista, 10 BIOLOGY· Zenodo (CERN European Organi...· 0 citations
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A liver‐targeted lipopolymer nanoparticle‐mediated gene editing platform is developed to enable in vivo disruption of Mrg15 by co‐delivery of Cas9 mRNA and Mrg15 sgRNA to identify Mrg15 as a disease‐relevant epigenetic regulator in MASH and highlight liver‐directed P64H LPNP/CRISPR delivery as a promising non‐viral str...
Forage sorghum (Sorghum bicolor L. Moench), a climate-resilient, drought-tolerant fodder crop with high adaptability and biomass potential, plays a significant role in addressing global livestock feed and fodder demands. However, its complex quantitative quality traits, such as crude protein, fibre fractions, crude fat...
Raja Janani, D. Kavithamani, K. Meena et al.· Plant Science Today· 0 citations
Hereditary transthyretin amyloidosis with polyneuropathy (ATTRv-PN) is a progressive, fatal multisystem disorder characterized by significant genotypic and geographic heterogeneity. Despite recent therapeutic breakthroughs, overlapping clinical features frequently lead to misdiagnosis and delayed intervention....
Jing-Wen Xu, Wei Li, Chuan-Zhu Yan et al.· Orphanet Journal of Rare Dis...· 0 citations
Research on crop disease has shifted from a single pathogen-host framework toward a multifactorial host-microbiota-environment framework. This transition, captured by the pathobiome concept, redirects attention from individual pathogens to the broader biological networks that condition disease establishment, progressio...
Qingxiao Jia, Yonglu Zhou, Wenjun Yu et al.· Frontiers in Microbiology· 0 citations
Abiotic factors, such as drought, salt, severe temperatures, and heavy metal toxicity, persistently threaten global agricultural production, contributing to an estimated 40–70% of yield losses in primary food crops globally. Drought diminishes yields by as much as 50% in rice, 42% in soybean, 40% in maize, 21% in wheat...
R. Omer, Sanchi Singh, Jyoti Mathur· Discover Plants· 0 citations
Toxicodendron vernicifluum is an economically unique lacquer-producing tree en-demic to East Asia; propagation bottlenecks severely restrict elite clone industrializa-tion. This review systematically synthesizes 20 years of domestic and international lit-erature on seed propagation, root cutting, stem cutting, grafting...
This paper introduces a novel system for personalized gene editing based on dynamic gene expression modulation, leveraging biological information to tailor gene expression to individual characteristics and environmental factors. Traditional gene editing methods primarily focus on modifying genes, while this system aims...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
Huanglongbing (HLB), caused by Candidatus Liberibacter spp., remains the most destructive disease affecting citrus worldwide. To support host-directed genome-editing strategies aimed at reducing susceptibility, we optimized key regeneration steps in Citrus sinensis and validated a dual-gRNA CRISPR/Cas9 approach targeti...
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.