高通量方法利用机器人和计算机视觉来开发治疗性菌体尾酒
Taylor J R Penke1, Aeron Tynes Hammack2,3, Lana J McMillan4
1Research and Development, Locus Biosciences, 523 Davis Drive, Morrisville, North Carolina, US. taylor.penke@locus-bio.com.
Nature communications
|January 30, 2026
概括
我们开发了自动查方法,为尿路感染创造了菌体治疗方法. 这一平台可实现有效的菌体尾酒的可扩展开发,以对抗抗生素耐药性.
科学领域:
- 微生物学 微生物学
- 生物技术是生物技术.
- 传染性疾病 传染性疾病
背景情况:
- 菌体治疗是抗生素治疗细菌感染的有希望的替代方案.
- 尿路感染 (UTI) 由于抗生素耐药性增加,越来越令人担忧.
- 开发可扩展和可重复的方法来开发菌体尾酒是至关重要的.
研究的目的:
- 为细菌治疗产品开发提供高通量自动选技术.
- 建立一个平台,用于针对细菌病原体的大型菌体集合的可复制查.
- 为了促进对抗抗生素耐药性的菌体尾酒的识别和优化.
主要方法:
- 集成液体处理机器人,标准化表型检测和基于计算机视觉的计数.
- 用临床衍生细菌菌株进行大规模菌体-细菌相互作用的系统评估.
- 开发一个可复制和可扩展的菌体尾酒开发平台.
主要成果:
- 建立了一个能够可重复选大型菌体集合的平台.
- 能够在规模上对菌体-细菌相互作用进行系统评估.
- 促进了具有广泛体外活性的菌体尾酒的识别和优化.
结论:
- 提出的方法解决了可扩展和可复制的菌体尾酒开发的需要.
- 该平台支持创建新型治疗资产,以打击抗生素耐药性.
- 自动查技术对于在临床试验中推进基于菌体的疗法至关重要.
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