通过微流体集成的机器人平台,通过使用复杂的外体作为目标,确定性进化aptamers
Binyao Liu1,2, Yaning Liu3, Lei Qiu3
1School of Biomedical Engineering, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230026, P.R. China.
ACS nano
|February 7, 2026
概括
研究人员开发了DREAMbot,这是一个自动化系统,用于发现与外体体 (EXO) 结合的体. 这种机器人平台通过克服体选择中的分离挑战,增强了液体活检的外体生物标志物发现.
科学领域:
- 生物技术是生物技术.
- 生物标志物发现发现
- 分子诊断学 分子诊断学
背景情况:
- 外体 (EXO) 膜蛋白是液体活检的有价值的生物标志物.
- 基于抗体的试剂因外体异质性而面临挑战.
- 传统的合体选择 (SELEX) 由外体的小尺寸和分离困难而复杂化.
研究的目的:
- 开发一套自动化系统,以高效地对外体向性受体选择.
- 为了克服手动SELEX对纳米外体体的局限性.
- 在液体活检应用中创建一个实用框架,用于在液体活检应用中发现aptamer.
主要方法:
- 介绍DREAMbot:一个集成微流体的机器人平台,用于自动选择体.
- 利用确定性横向位移分类和脂质辅助磁性隔离用于外体细胞净化.
- 在最小的人类干预下执行了多轮的aptamer选择.
主要成果:
- 梦想机器人自动选择和回收外体结合的体.
- 该系统表现出忠实的阿普坦富化,与手动SELEX相比,减少了动手时间.
- 鉴定了具有纳米分离常数和高特异性的细胞培养和人体血清中的GPC3阳性外体的aptamer.
结论:
- 梦想机器人提供了一个自动化的,高效的,可访问的解决方案,用于对外体的aptamer发现.
- 机器人微流体平台有助于在液体活检中识别生物标记物.
- 这项技术解决了基于外体组的诊断中的关键挑战.
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