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单细胞外膀成像和计算分析确定了固有的建筑异质性

Kshipra S Kapoor^1,2, Seoyun Kong¹, Hikaru Sugimoto¹

¹Department of Cancer Biology and Metastasis Research Center, The University of Texas MD Anderson Cancer Center, Houston, Texas 77054, United States.

|April 23, 2024

概括

细胞外囊泡 (EVs) 在各种来源中显示出一致的结构异质性,由冷传输电子显微镜 (cryo-TEM) 揭示出来. 这本结构图谱提供了对电动汽车功能和生物分布的见解.

科学领域:

生物物理学的生物物理.
细胞生物学细胞生物学
纳米技术纳米技术

背景情况:

细胞外囊泡 (EVs) 在细胞间通信中起着至关重要的作用.
了解EV异质性对于它们的治疗和诊断应用至关重要.
目前的方法往往缺乏捕捉本地电动汽车架构的分辨率.

研究的目的:

描述细胞外囊泡 (EVs) 的结构异质性.
使用高分辨率成像建立电动汽车的结构图谱.
调查EV架构是否在不同的电池源和隔离方法中一致.

主要方法:

低温传输电子显微镜 (cryo-TEM) 用于本地电动汽车的高分辨率成像.
从各种来源分离EVs,包括癌细胞,正常细胞,不朽细胞和体液.
一个使用细分神经网络模型量化EV架构的计算管道.

主要成果:

在7,576个成像EV中观察到一致的建筑异质性.
电动汽车的形状主要包括单球形,棒形/管状和双重配置.
这种异质性独立于EV源和净化技术.
平均离心率为0.5366 ± 0.2,平均等值直径为132.43 ± 67nm.

结论:

电动汽车表现出一套保存的建筑形状,无论其起源或隔离方法.
Cryo-TEM提供了一个强大的工具,用于对电动汽车进行公正的结构分析.
这本结构性地图集是电动汽车研究和理解其生物影响的基础参考.

关键词:

建筑的异质性建筑的异质性低温电磁波冷却器 (Cryo-EM) 是一个非常好的方法.细胞外囊泡净化净化过程细胞外囊泡中的细胞外囊泡.机器学习是机器学习.

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