《生命科学》 2025, 37(7): 854-867
冷冻电镜前沿技术与发展应用
摘 要:
随着冷冻电镜(Cryo-EM) 分辨率革命的到来,冷冻电镜技术已成为生物大分子结构解析的核心手段。这场技术革命的背后,是多维度技术的协同发展。新兴的冷冻制样技术,尤其是亲和载网及时间分辨率的冷冻制样技术,不仅具有整合生物复合体提纯与冷冻制样、降低气- 液界面影响的潜能,还有望捕捉生物过程的瞬时构象。冷冻聚焦离子束减薄结合荧光定位与高压冷冻技术,可实现对细胞或组织样品的精准减薄,助力揭示细胞原位中的“分子社会”及生物过程的时空调控。冷冻透射电镜硬件、控制软件及探测器的不断发展,极大推进了高通量、高分辨率、自动化的电镜数据采集。近年来,人工智能(AI) 与冷冻电镜技术的深度融合,正在推进冷冻电镜技术向着捕获生物大分子动态生物过程,揭示其原位时空调控和“分子社会关系”方向飞速发展,为揭示生命本质提供了强大的技术支撑。冷冻电镜技术不仅在基础研究中具有重要意义,在药物开发等应用领域也展现出巨大潜力。本文将围绕冷冻样品制备、冷冻透射电镜及探测器硬件、数据收集及AI 应用等方向展开阐述。
通讯作者:丛 尧 , Email:cong@sibcb.ac.cn 孔亮亮 , Email:kongliangliang@sari.ac.cn
Abstract:
Over the past decade or so, cryo-electron microscopy (Cryo-EM) has emerged as a primary approach in the structural determination of biological macromolecules. Behind this revolution lies the concurrent development of all steps of the Cryo-EM workflow. Advances in Cryo-EM sample preparation, particularly affinity grids and time-resolved sample preparation method, not only being able to integrate the purification with vitrification, minimizing artifacts from water-air interface, but also show promise in capturing transient conformational intermediates during biological processes. The combination of cryo-focused ion beam (Cryo-FIB) milling with fluorescence-guided localization and high-pressure freezing allows for precise thinning of cellular or tissue samples, facilitating the revelation of in situ “molecular societies” and the spatiotemporal regulation of biological events. Developments in microscope hardware, control software, and detectors have enabled high-throughput, highresolution, and automated data acquisition in Cryo-EM. Meanwhile, the deep integration of artificial intelligence (AI) and Cryo-EM has propelled the field to new frontiers, enabling the visualisation of time-resolved macromolecular dynamics and the decoding of in situ spatiotemporal regulation, providing a powerful technique for revealing the essence of life. Cryo-EM also demonstrates enormous potential in applications such as drug development. Here, we focus our review on Cryo-EM sample preparation, instruments (both microscopes and detectors), data acquisition strategies, and AI applications in the field of Cryo-EM.
Communication Author:CONG Yao , Email:cong@sibcb.ac.cn KONG Liang-Liang , Email:kongliangliang@sari.ac.cn