Chrome Extension
WeChat Mini Program
Use on ChatGLM

Time-resolved Cryogenic Electron Tomography for the Study of Transient Cellular Processes.

Molecular Biology of the Cell(2024)

Stanford Univ | Cornell Univ | SLAC Natl Accelerator Lab | NYU

Cited 0|Views13
Abstract
Cryogenic electron tomography (cryo-ET) is the highest resolution imaging technique applicable to the life sciences, enabling subnanometer visualization of specimens preserved in their near native states. The rapid plunge freezing process used to prepare samples lends itself to time-resolved studies, which researchers have pursued for in vitro samples for decades. Here, we focus on developing a freezing apparatus for time-resolved studies in situ. The device mixes cellular samples with solution-phase stimulants before spraying them directly onto an electron microscopy grid that is transiting into cryogenic liquid ethane. By varying the flow rates of cell and stimulant solutions within the device, we can control the reaction time from tens of milliseconds to over a second before freezing. In a proof-of-principle demonstration, the freezing method is applied to a model bacterium, Caulobacter crescentus, mixed with an acidic buffer. Through cryo-ET we resolved structural changes throughout the cell, including surface-layer protein dissolution, outer membrane deformation, and cytosolic rearrangement, all within 1.5 s of reaction time. This new approach, Time-Resolved cryo-ET (TR-cryo-ET), enhances the capabilities of cryo-ET by incorporating a subsecond temporal axis and enables the visualization of induced structural changes at the molecular, organelle, or cellular level.
More
Translated text
求助PDF
上传PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Related Papers
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper

要点】:论文提出了一种新的冷冻电镜技术——时间分辨冷冻电镜(TR-cryo-ET),能够在亚秒级时间尺度上观察活细胞内瞬态过程的结构变化。

方法】:通过开发一种冷冻装置,将细胞样品与溶液相刺激物混合后直接喷洒在电子显微镜网格上,并迅速冷冻至液态乙烷中,从而控制反应时间从几十毫秒到超过一秒。

实验】:在原理验证实验中,使用TR-cryo-ET技术对模型细菌Caulobacter crescentus与酸性缓冲液混合,观察到了细胞表面层蛋白溶解、外膜变形和细胞质重组等结构变化,这些变化均在反应时间1.5秒内发生。实验使用的数据集为Caulobacter crescentus与酸性缓冲液的混合样品。