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相关概念视频

Protein Diffusion in the Membrane01:24

Protein Diffusion in the Membrane

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Proteins show rotational as well as lateral diffusion across the membrane. The lateral diffusion of proteins was confirmed through the cell fusion experiment where mouse and human cells were fused, resulting in hybrid cells. When the human and mouse cells fused, the specific membrane proteins on human and mouse cells were marked with the red and green-fluorescent markers, respectively. Initially, the red and green fluorescence was located on the respective hemisphere of the cell. As time...
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相关实验视频

Updated: Sep 9, 2025

Image Processing Protocol for the Analysis of the Diffusion and Cluster Size of Membrane Receptors by Fluorescence Microscopy
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用转录组引导的扩散模型预测乱下的细胞形态变化

Xuesong Wang1,2, Yimin Fan1,2, Yucheng Guo1

  • 1BioMap Research, Palo Alto, CA, USA.

Nature communications
|September 2, 2025
PubMed
概括

一个新的模型,模拟了基因或药物干扰的细胞形态变化. 这种工具有助于预测药物机制和生物活性,加速药物发现.

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Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules
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Probing Structural and Dynamic Properties of Trafficking Subcellular Nanostructures by Spatiotemporal Fluctuation Spectroscopy
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相关实验视频

Last Updated: Sep 9, 2025

Image Processing Protocol for the Analysis of the Diffusion and Cluster Size of Membrane Receptors by Fluorescence Microscopy
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Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules
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科学领域:

  • 计算生物学
  • 药物发现
  • 细胞成像

背景情况:

  • 基于高通量图像的分析对表型药物发现至关重要.
  • 预测作用机制 (MOA) 和化合物生物活性需要了解细胞形态变化.
  • 探索所有化学和遗传干扰是不可能的现有方法.

研究的目的:

  • 开发一个模拟高准确度细胞形态反应的计算模型.
  • 增强作用机制 (MOA) 和化合物生物活性的预测.
  • 在药物发现中加速表型选.

主要方法:

  • 提出了MorphDiff,一个转录基因引导的隐性扩散模型.
  • 将模型应用于三个大规模数据集 (两种药物,一种遗传乱).
  • 评估了成千上万个扰动的性能, 包括未见的.

主要成果:

  • 它可以准确地预测细胞形态的变化.
  • 该模型显著提高了MOA检索准确性,与基本真相形态学可比.
  • 在MOA鉴定中表现比基线方法优于16.9%和8.0%.

结论:

  • 这是一个强大的工具来模拟细胞形态.
  • 该模型加快了表型查,并加强了MOA的识别.
  • 证明了药物发现管道的重大潜力.