New Method for Direct Electronic Sequencing of DNA

描述（由申请人提供）：提出了一种通过直接电子测量单个碱基对单个DNA分子进行测序的新方法。该方法利用新发现的悬浮脂质双层结构中的蛋白质孔，简单的电子模型和计算表明，在测量孔阻断电流方面，该方法的灵敏度提高了十倍。第二个关键创新是将用于诱导离子电流通过孔的方法与用于驱动DNA通过孔易位的方法分离开来，从而使两者分别进行优化。在第一阶段，将研究与第二项创新有关的关键问题，并对完整系统的性能进行预测。在第二阶段，将评估一个初步的实验室设备，该设备将系统的所有元素结合在一个基本形式中。这个项目是电子生物科学有限责任公司（EBS）的合作，电子生物科学有限责任公司是开发新型超低噪音生物电子读出架构的先驱，亨利·怀特教授的团队是新的悬浮膜结构的发明者，大卫·迪默教授是通过蛋白质孔隙进行DNA易位科学的先驱。提出的DNA直接电子测序方法可以实现人类基因组的常规测序。理论上，该系统可以在一小时内完成30亿个哺乳动物基因组的测序，比目前的系统提高了1000倍。这种快速的低成本测序可用于获得有关疾病易感性和治疗的个性化信息，从而可能彻底改变医学。

DESCRIPTION (provided by applicant): A new method is proposed for sequencing a single DNA molecule via direct electronic measurement of individual bases. The method utilizes a protein pore in a newly discovered suspended lipid bilayer configuration that simple electronic models and calculations show offers a factor of ten sensitivity improvement in measurement of the pore blocking current. A second key innovation is to separate the means used to induce the ionic current through the pore from the means used to drive DNA translocation through the pore, allowing each to be optimized separately. In Phase I the key questions relating to the second innovation will be investigated and the performance of a complete system projected. In Phase II, a preliminary laboratory apparatus that combines all elements of the system in a basic form will be evaluated. This program is a collaboration between Electronic Bio Sciences LLC (EBS), pioneers in the development of new ultra low noise electronic readout architectures for biology, the group of Professor Henry White, the inventors of the new suspended membrane configuration, and Professor David Deamer, a pioneer in the science of DNA translocation through protein pores. The proposed direct electronic sequencing of DNA method could allow the ability for routine sequencing of the human genome. In theory this system would allow a 3 billion base mammalian genome to be sequenced in under an hour, a 1000 times improvement over current systems. Such rapid low cost sequencing could be used to obtain individualized information on predisposition to diseases and treatments and could thereby revolutionize medicine.