Modelling the influence of developmental factors on gene editing and gene drive outcomes

公开可用的非专业摘要本博士将使用数学和实验方法来研究基因编辑的结果。我们的目标是揭示技术和生物体特异性因素，这些因素使得基因编辑的某些用途效果良好，而另一些则很差。该项目将专注于对最近开发的CRISPR基因驱动进行建模。这使得影响基因编辑过程的潜在因素能够在没有通常与用户处理相关的复杂性和噪音的情况下进行研究。这项工作的预期成果是深入了解基因编辑方法如何适应生物体的发育特征，以优化其效率。BBSRC拟议研究的优先领域包括数据驱动生物学，工业生物技术的新战略方法，可持续提高农业生产，合成生物学，生物科学的系统方法，生物科学的技术开发，全球粮食安全，与环境变化共存

Publicly available non-specialist abstract This DPhil will use mathematical and experimental approaches to investigate gene editing outcomes. The goal is to uncover the technical and organism-specific factors that make some uses of gene editing work well and others poorly. This project will focus on modelling recently developed CRISPR gene drives. This allows the underlying factors influencing the gene-editing process to be studied in the absence of the complexity and noise typically associated with user handling. The expected outcomes of this work are insights into how gene editing methods can be adapted to an organism's developmental characteristics to optimise their efficiency.BBSRC priority areas the proposed research addresses Data-Driven Biology, New Strategic Approaches to Industrial Biotechnology, Sustainably Enhancing Agricultural Production, Synthetic Biology, Systems Approaches to The Biosciences, Technology Development for The Biosciences, Global Food Security, Living with Environmental Change