Recording neural activities onto DNA

描述(由申请人提供)：神经记录的进展对于了解大脑和开发大脑疾病的治疗方法至关重要。目前的神经记录最多只能捕捉几百个相互作用的神经元。被记录的神经元的数量相对较少，因为目前的神经记录设备，如电极、放大器、激光和相机是宏观的。我们研究的目标是创造分子级别的神经记录器，通过将神经活动写入DNA，就像分子自动收报机磁带一样。该设备将包括一个经过改造的DNAP聚合酶，它可以廉价地合成并容易地输送到神经元，在那里它将把每个神经元活动的时间动态写入局部DNA分子，稍后可以通过越来越便宜的基因组测序技术进行分析。我们研究的长期目标是实现范式转换，使记录设备免费、易于使用，并可扩展到任意数量的神经元。我们将通过三条流水线获得纳米级的记录设备：(1)聚合酶设计流水线。我们将在不同的DNA聚合酶中寻找一种聚合酶，当离子浓度增加时，从而当神经元活跃时，它会犯许多复制错误。我们将使用定向蛋白质工程来增加离子敏感结构域。最后，我们将使用高通量蛋白质定向进化，以生产出具有理想特性的聚合酶。(2)模板设计流水线。我们将设计一个经过改造的DNA模板，并将其传递给要复制的细胞。我们将利用转染法，这在一些神经科学实验中是可行的，但可能不方便，稍后将转向病毒模板递送方法，后者可能更简单。(3)统计管道。由此产生的DNA序列需要转换回具有神经生物学意义的信号。这种转换需要精确，对生物聚合酶噪声和纠错等各种问题具有健壮性。这种方法是创新的，因为它利用分子工程重塑了录音的概念，生产出了一种比同类设备小几个数量级、功能更多的设备。这项拟议的研究意义重大，因为它允许进行一系列新的电生理实验。该方法将补充其他新兴方法，这些方法有望导致基于大型数据集的神经科学，例如连接学。由此产生的技术将易于使用和廉价，但将承诺允许从潜在的任意数量的神经元同时记录，时间精度可与现有最先进的钙成像技术相媲美。它承诺大量增加神经数据，并以全新的方式提出关于大脑工作方式和如何治愈大脑疾病的深层问题。

DESCRIPTION (provided by applicant): Progress in neural recording is critical to understanding the brain and developing treatments for brain disorders. Current neural recordings can, at best, capture a few hundred interacting neurons. The number of recorded neurons is relatively small because current neural recording devices, such as electrodes, amplifiers, lasers, and cameras, are macroscopic. The objective of our research is to create neural recorders at the molecular scale, by writing neural activities onto DNA, like a molecular ticker tape. The device will consist of an engineered DNAP polymerase that can be cheaply synthesized and easily delivered to neurons, where it will write the temporal dynamics of activity of each neuron onto local DNA molecules, which can later be analyzed via increasingly cheap genome sequencing technologies. The long term goal of our research is to enable a paradigm shift, making recording instrumentation-free, easy to use, and scalable to arbitrary numbers of neurons. We will obtain the nanoscale recording device using three pipelines: (1) Polymerase design pipeline. We will search through different DNA polymerases to find a polymerase that makes many replication mistakes when ion concentrations increase, and thus when neurons are active. We will use directed protein engineering to add ion-sensitive domains. Lastly we will use high throughput protein directed evolution, to produce a polymerase with desirable properties. (2) Template design pipeline. We will design and deliver an engineered DNA template to the cell to be copied. We will utilize transfection, which is feasible but might not be convenient in some neuroscientific experiments, moving later towards viral template delivery methods, which may be simpler. (3) Statistics pipeline. The resulting DNA sequences need to be converted back into signals of neurobiological meaning. Such conversion needs to be precise, robust to various problems such as biological polymerase noise, and error-correcting. The approach is innovative, because it reinvents the concept of recording using molecular engineering to produce a device that is orders of magnitude smaller and arguably more versatile than comparable devices. The proposed research is significant, because it allows a whole range of new electrophysiological experiments. The approach will complement other emerging approaches that promise to lead to large dataset based neuroscience, e.g. connectomics. The resulting technique will be easyto- use and inexpensive, yet will promise to allow recording simultaneously from potentially arbitrary numbers of neurons, with temporal precision comparable to existing state-of-the-art calcium imaging. It promises massively increased amounts of neural data and entirely new approaches to asking deep questions about the way the brain works and how to cure disease of the brain.