雷恩巴:用于用单细胞分辨率组合活细胞成像的光学条形码
Ruzbeh Mosadeghi1, Daniel Foyt2, Louis Sharp3
1Department of Medicine, University of California, San Francisco, San Francisco, CA, 94143, United States of America.
bioRxiv : the preprint server for biology
|November 24, 2025
概括
我们开发了RainBar,这是一种用于活细胞成像的光学条形码系统,可实现高通量功能基因组学. 这种方法以单细胞分辨率跟踪动态细胞表型,进步我们对生物过程的理解.
科学领域:
- 功能性基因组学是一种功能性基因组学.
- 细胞成像 细胞成像
- 分子生物学分子生物学
背景情况:
- 现有的高通量选方法往往错过了动态的,时间解析的细胞表型,因为它们依赖于终点测序.
- 活细胞成像为研究动态过程提供了潜力,但缺乏用于聚合屏幕的可扩展复合.
研究的目的:
- 开发一个光学条形码系统 (RainBar) 用于组合活细胞成像.
- 为了使功能基因组学屏幕中的动态表型能够进行高通量,单细胞分辨率的分析.
- 使用这个新的平台,剖析信号动态,例如NF-κB通路动力学.
主要方法:
- 雨吧系统利用光谱上不同的光蛋白的lentiviral联合交付,用于多重条形编码 (多达64个扰动).
- 先进的技术,包括单个模板病毒生产和编码多样化,以提高条形码的准确性.
- 基于比例的光谱分离,反向细胞质细分,以及多层感知子分类器,用于精确的条形码识别.
主要成果:
- 在数组和聚合格式中证明了准确的条形码识别.
- 成功地应用了RainBar来研究NF-κB信号动态,揭示了特定于刺激的RelA转位动力学.
- 在集成的CRISPRi屏幕中确定了NF-κB信号的已知和新型调节剂,包括Ino80复杂子单元和KAT2A.
结论:
- 雨吧是一个多功能平台,用于多重化,基于图像的活细胞功能基因组学.
- 该系统有助于研究动态信号架构和细胞表型.
- 这项技术为高分辨率和吞吐量剖析复杂的生物过程开辟了新的途径.
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