Department of Chemistry and Biochemistry, University of California, Santa Barbara, California 93106, USA.
Acc Chem Res. 2010 Apr 20;43(4):496-505. doi: 10.1021/ar900165x.
Biomolecular recognition is versatile, specific, and high affinity, qualities that have motivated decades of research aimed at adapting biomolecules into a general platform for molecular sensing. Despite significant effort, however, so-called "biosensors" have almost entirely failed to achieve their potential as reagentless, real-time analytical devices; the only quantitative, reagentless biosensor to achieve commercial success so far is the home glucose monitor, employed by millions of diabetics. The fundamental stumbling block that has precluded more widespread success of biosensors is the failure of most biomolecules to produce an easily measured signal upon target binding. Antibodies, for example, do not change their shape or dynamics when they bind their recognition partners, nor do they emit light or electrons upon binding. It has thus proven difficult to transduce biomolecular binding events into a measurable output signal, particularly one that is not readily spoofed by the binding of any of the many potentially interfering species in typical biological samples. Analytical approaches based on biomolecular recognition are therefore mostly cumbersome, multistep processes relying on analyte separation and isolation (such as Western blots, ELISA, and other immunochemical methods); these techniques have proven enormously useful, but are limited almost exclusively to laboratory settings. In this Account, we describe how we have refined a potentially general solution to the problem of signal detection in biosensors, one that is based on the binding-induced "folding" of electrode-bound DNA probes. That is, we have developed a broad new class of biosensors that employ electrochemistry to monitor binding-induced changes in the rigidity of a redox-tagged probe DNA that has been site-specifically attached to an interrogating electrode. These folding-based sensors, which have been generalized to a wide range of specific protein, nucleic acid, and small-molecule targets, are rapid (responding in seconds to minutes), sensitive (detecting sub-picomolar to micromolar concentrations), and reagentless. They are also greater than 99% reusable, are supported on micrometer-scale electrodes, and are readily fabricated into densely packed sensor arrays. Finally, and critically, their signaling is linked to a binding-specific change in the physics of the probe DNA, and not simply to adsorption of the target onto the sensor head. Accordingly, they are selective enough to be employed directly in blood, crude soil extracts, cell lysates, and other grossly contaminated clinical and environmental samples. Indeed, we have recently demonstrated the ability to quantitatively monitor a specific small molecule in real-time directly in microliters of flowing, unmodified blood serum. Because of their sensitivity, substantial background suppression, and operational convenience, these folding-based biosensors appear potentially well suited for electronic, on-chip applications in pathogen detection, proteomics, metabolomics, and drug discovery.
生物分子识别具有多功能性、特异性和高亲和力,这些特性促使人们进行了数十年的研究,旨在将生物分子转化为分子传感的通用平台。然而,尽管付出了巨大的努力,所谓的“生物传感器”几乎完全未能实现其作为无试剂、实时分析设备的潜力;迄今为止,唯一实现商业成功的定量无试剂生物传感器是家庭血糖仪,数百万糖尿病患者都在使用它。生物传感器未能得到更广泛应用的根本障碍是,大多数生物分子在与靶标结合时无法产生易于测量的信号。例如,抗体在与识别伙伴结合时不会改变其形状或动力学,也不会在结合时发射光或电子。因此,将生物分子结合事件转化为可测量的输出信号非常困难,特别是对于典型生物样本中许多潜在干扰物质的结合,这种信号很难被检测到。因此,基于生物分子识别的分析方法大多是繁琐的多步骤过程,依赖于分析物的分离和隔离(如 Western blot、ELISA 和其他免疫化学方法);这些技术已经被证明非常有用,但几乎完全局限于实验室环境。在本报告中,我们描述了如何改进生物传感器中信号检测问题的潜在通用解决方案,该解决方案基于电极结合 DNA 探针的结合诱导“折叠”。也就是说,我们开发了一类广泛的新型生物传感器,该传感器利用电化学监测经特定位置附着在探测电极上的氧化还原标记探针 DNA 的结合诱导的刚性变化。这些基于折叠的传感器已经被推广到广泛的特定蛋白质、核酸和小分子靶标,具有快速(几秒钟到几分钟响应)、灵敏(检测亚皮摩尔到微摩尔浓度)和无试剂的特点。它们的重复使用率也大于 99%,支持在微米级电极上,并可轻松制成高密度传感器阵列。最后,也是至关重要的是,它们的信号与探针 DNA 的结合特异性物理变化相关联,而不仅仅与目标吸附到传感器头部相关。因此,它们具有足够的选择性,可直接用于血液、粗土提取物、细胞裂解物和其他严重污染的临床和环境样本。事实上,我们最近已经证明了在未修饰的微升流动血清中直接实时定量监测特定小分子的能力。由于其灵敏度、大量背景抑制和操作方便性,这些基于折叠的生物传感器似乎非常适合电子、芯片应用于病原体检测、蛋白质组学、代谢组学和药物发现。