category
NAR
date
Feb 12, 2026
slug
status
Published
summary
1. 开发Ouroborosyn-ssDNA平台,通过酶工程与计算优化实现15000 nt长ssDNA高纯度合成;2. 机器学习揭示镁离子动态和热调节对酶效率的关键作用;3. 固相合成结合磁珠系统实现86.38%回收率;4. 构建DNA origami-CRISPR复合物实现靶向基因编辑与诊疗一体化。
tags
基因编辑
合成生物学
核酸蛋白工具酶
type
Post
📄 原文题目
Machine learning-optimized long single-stranded DNA synthesis technology empowers high-precision diagnostic–therapeutic integration in living cells
🔗 原文链接
💡 AI 核心解读
1. 开发Ouroborosyn-ssDNA平台,通过酶工程与计算优化实现15000 nt长ssDNA高纯度合成;2. 机器学习揭示镁离子动态和热调节对酶效率的关键作用;3. 固相合成结合磁珠系统实现86.38%回收率;4. 构建DNA origami-CRISPR复合物实现靶向基因编辑与诊疗一体化。
📝 英文原版摘要
<span class="paragraphSection"><div class="boxTitle">Abstract</div>While DNA nanotechnology holds transformative potential across biomedical and information storage applications, current technologies face critical limitations in synthesizing long single-stranded DNA (ssDNA) with high purity and homogeneity. To address these challenges, we developed Ouroborosyn-ssDNA, a nicking enzymatic assisted replication (NEAR) platform that synergizes enzymatic engineering with computational optimization. By integrating phi29 DNA polymerase and Nb.<span style="font-style: italic;">Bbv</span>CI nickase in formate-based buffers, we achieved extended ssDNA synthesis up to 15 000 nt while preserving sequence fidelity, resulting in a 4.73-fold yield enhancement compared to commercial buffers. Notably, machine learning-guided parameter optimization identified magnesium ion dynamics and thermal modulation as pivotal determinants of enzymatic efficiency. Furthermore, solid-phase synthesis using thiol-gold immobilized templates demonstrated 86.38% purification recovery via automated magnetic bead systems, enabling scalable production. To validate functional utility, we engineered six-helix bundle DNA origami-CRISPR complexes that achieved nucleolin-targeted genome editing in cervical cancer cells, coupling GFP-based diagnostics with therapeutic E7 oncogene disruption. These advancements directly overcome key limitations in enzymatic stochasticity and product heterogeneity through buffer engineering and computational optimization, establishing a scalable pathway for applications in precision nanomedicine, synthetic biology, and molecular data storage. This integrated strategy advances DNA nanotechnology from proof-of-concept studies toward standardized biomanufacturing of sequence-defined mac
romolecular architectures.</span>
- 作者:NotionNext
- 链接:https://tangly1024.com/article/30548bd6-1f96-81bd-bdca-cb1e77241427
- 声明:本文采用 CC BY-NC-SA 4.0 许可协议,转载请注明出处。
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