Engineering Biorthogonal Phage-Based Nanobots for Ultrasensitive, In Situ Bacteria Detection.

Engineering Biorthogonal Phage-Based Nanobots for Ultrasensitive, In Situ Bacteria Detection.
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工程双正交噬菌体为基础的纳米机器人超灵敏,原位细菌检测。

DOI:
10.1021/acsabm.0c00546
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发表时间:
2020-09-21
影响因子:
4.7
通讯作者:
Nugen SR
Nugen SR
中科院分区:
其他
文献类型:
--
作者:
Zurier HS;Duong MM;Goddard JM;Nugen SR

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合成生物学、纳米技术和基因工程的进步使药物输送和快速诊断等领域的进步成为可能。虽然我们目前对纳米机器人的设想可能还很遥远,但由工程病毒合成的一代纳米机器人正在接近。这些工具可以用来解决当前方法不能满足当前需求的复杂问题。确保安全饮用水对于尽量减少水传播疾病的传播至关重要。尽管饮用水中极低水平的粪便污染足以造成公共健康风险,但快速检测标准粪便指示生物大肠杆菌仍然具有挑战性。目前的方法足够灵敏,可以满足监管标准,但要么孵育时间过长,要么需要昂贵、不实用的设备。噬菌体经过数十亿年的进化,可以结合有活力的细菌,并且很容易被改造成定制的蛋白质,非常适合细菌检测。我们开发了一个基于编码发光报告酶的磁化噬菌体的生物传感器平台。该系统利用生物正交功能化噬菌体来实现特异位点与磁性纳米颗粒的偶联。由此产生的基于噬菌体的纳米机器人,当与标准的便携式现场设备结合使用时,可以在7小时内检测出<10 cfu/100 mL的活大肠杆菌,比迄今为止发表的任何方法都要快。
Advances in synthetic biology, nanotechnology, and genetic engineering are allowing parallel advances in areas such as drug delivery and rapid diagnostics. Although our current visions of nanobots may be far off, a generation of nanobots synthesized by engineering viruses is approaching. Such tools can be used to solve complex problems where current methods do not meet current demands. Assuring safe drinking water is crucial for minimizing the spread of waterborne illnesses. Although extremely low levels of fecal contamination in drinking water are sufficient to cause a public health risk, it remains challenging to rapidly detect Escherichia coli, the standard fecal indicator organism. Current methods sensitive enough to meet regulatory standards suffer from either prohibitively long incubation times or requirement of expensive, impractical equipment. Bacteriophages, tuned by billions of years of evolution to bind viable bacteria and readily engineered to produce custom proteins, are uniquely suited to bacterial detection. We have developed a biosensor platform based on magnetized phages encoding luminescent reporter enzymes. This system utilizes bio-orthogonally functionalized phages to enable site-specific conjugation to magnetic nanoparticles. The resulting phage-based nanobots, when combined with standard, portable field equipment, allow for detection of <10 cfu/100 mL of viable E. coli within 7 h, faster than any methods published to date.
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