School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332-0100, United States.
ACS Synth Biol. 2021 Nov 19;10(11):2862-2869. doi: 10.1021/acssynbio.1c00282. Epub 2021 Oct 21.
Field-deployable diagnostics based on cell-free systems have advanced greatly, but on-site quantification of target analytes remains a challenge. Here we demonstrate that lysate-based cell-free biosensors coupled to a personal glucose monitor (PGM) can enable on-site analyte quantification, with the potential for straightforward reconfigurability to diverse types of analytes. We show that analyte-responsive regulators of transcription and translation can modulate the production of the reporter enzyme β-galactosidase, which in turn converts lactose into glucose for PGM quantification. Because glycolysis is active in the lysate and would readily deplete converted glucose, we decoupled enzyme production and glucose conversion to increase the end point signal output. However, this lysate metabolism did allow for one-pot removal of glucose present in complex samples (like human serum) without confounding target quantification. Taken together, our results show that integrating lysate-based cell-free biosensors with PGMs enables accessible target detection and quantification at the point of need.
基于无细胞系统的现场诊断技术已经取得了很大进展,但目标分析物的现场定量仍然是一个挑战。在这里,我们证明了基于裂解物的无细胞生物传感器与个人血糖仪 (PGM) 相结合,可以实现现场分析物的定量,并且具有针对不同类型分析物进行简单重新配置的潜力。我们表明,转录和翻译的反应调节剂可以调节报告酶β-半乳糖苷酶的产生,β-半乳糖苷酶反过来将乳糖转化为葡萄糖,以便 PGM 进行定量。因为在裂解物中糖酵解是活跃的,并且会轻易耗尽转化的葡萄糖,所以我们将酶的产生和葡萄糖的转化解偶联,以增加终点信号输出。然而,这种裂解物代谢确实允许在不干扰目标定量的情况下,一次性去除复杂样品(如人血清)中存在的葡萄糖。总之,我们的结果表明,将基于裂解物的无细胞生物传感器与 PGM 集成,可以在需要的地点实现易于使用的目标检测和定量。