Center for Systems and Synthetic Biology, Institute for Cellular and Molecular Biology, Department of Molecular Biosciences, University of Texas, 2500 Speedway, Austin, TX 78712, USA.
Center for Systems and Synthetic Biology, Institute for Cellular and Molecular Biology, Department of Molecular Biosciences, University of Texas, 2500 Speedway, Austin, TX 78712, USA.
Curr Opin Biotechnol. 2019 Aug;58:37-44. doi: 10.1016/j.copbio.2018.10.013. Epub 2018 Nov 17.
The mammalian brain is among the most complex organs known in biology. Historically, neuroscience techniques have consisted primarily of low-throughput microscopy and electrophysiological approaches. While these methods will continue to serve the community, the emerging field of synthetic neurobiology may be better equipped to scale with systems neuroscience. By using genetic techniques to achieve cell-type specificity, a map of the connectome, neural activation and recording, and ultimately to program neural development itself, we can begin to build a better framework with which to understand the brain's mechanisms.
哺乳动物的大脑是生物学中已知的最复杂的器官之一。从历史上看，神经科学技术主要包括低通量显微镜和电生理方法。虽然这些方法将继续为科学界服务，但新兴的合成神经生物学领域可能更有能力与系统神经科学相适应。通过使用遗传技术实现细胞类型特异性，我们可以构建一个更好的框架来理解大脑的机制，包括连接组图谱、神经激活和记录，最终甚至可以对神经发育进行编程。
