Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Protein Dynamics in Living Cells01:19

Protein Dynamics in Living Cells

2.3K
Different fluorescence-based techniques are used to study the protein dynamics in living cells. These techniques include FRAP, FRET, and PET.
Fluorescent recovery after photobleaching (FRAP) is a fluorescent-protein-based detection technique used to quantify protein movement rates within the cell. This method exposes a small portion of the cell to an intense laser beam. The laser beam causes permanent photobleaching of the fluorophore-tagged proteins in the exposed region. As the bleached...
2.3K
Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

8.0K
Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...
8.0K
Protein Diffusion in the Membrane01:24

Protein Diffusion in the Membrane

4.6K
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...
4.6K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Learning High-Resolution Protein Embeddings from Multimodal Data via Self-Supervised Integration.

Journal of chemical information and modeling·2026
Same author

ClpP Ensures Mitochondrial Integrity and Spermatocyte Meiotic Progression in Mice.

Andrology·2026
Same author

LAT1-mediated amino acid metabolism reprogramming: a novel metabolic vulnerability in recurrent pituitary neuroendocrine tumors.

Endocrine connections·2026
Same author

Mitochondria-Targeted Metal Polyphenol Networks Inhibit Crystalline Nephropathy by Modulating SerpinE1 and Remodeling the Pathological Mineralization Microenvironment.

ACS nano·2026
Same author

Interleukin enhancer binding factor 3 exacerbates cardiac inflammation and injury following myocardial infarction by inhibiting Lys48-linked ubiquitination on HNRNPA2B1 in macrophages.

Cellular & molecular immunology·2026
Same author

Association between the atherogenic index of plasma and risk of depression in patients with diabetes: a cross-sectional study.

Journal of affective disorders·2025

相关实验视频

Updated: Sep 19, 2025

Multi-color Localization Microscopy of Single Membrane Proteins in Organelles of Live Mammalian Cells
11:06

Multi-color Localization Microscopy of Single Membrane Proteins in Organelles of Live Mammalian Cells

Published on: June 30, 2018

8.6K

从3D光显微镜图像中预测增强知识的蛋白质细胞下定位.

Guo-Hua Zeng1,2, Xing-Zheng Zhu3, Hong-Rui Yang1,2

  • 1School of Biomedical Engineering and Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou 510515, China.

Bioinformatics (Oxford, England)
|June 3, 2025
PubMed
概括

我们开发了KE3DLoc,这是一种用于3D蛋白质细胞下定位的深度学习模型. 它通过整合生物知识来提高准确性,并优于现有的空间蛋白质组学方法.

更多相关视频

Detecting Protein Subcellular Localization by Green Fluorescence Protein Tagging and 4',6-Diamidino-2-phenylindole Staining in Caenorhabditis elegans
09:36

Detecting Protein Subcellular Localization by Green Fluorescence Protein Tagging and 4',6-Diamidino-2-phenylindole Staining in Caenorhabditis elegans

Published on: July 30, 2018

9.7K
Nano-fEM: Protein Localization Using Photo-activated Localization Microscopy and Electron Microscopy
13:13

Nano-fEM: Protein Localization Using Photo-activated Localization Microscopy and Electron Microscopy

Published on: December 3, 2012

16.2K

相关实验视频

Last Updated: Sep 19, 2025

Multi-color Localization Microscopy of Single Membrane Proteins in Organelles of Live Mammalian Cells
11:06

Multi-color Localization Microscopy of Single Membrane Proteins in Organelles of Live Mammalian Cells

Published on: June 30, 2018

8.6K
Detecting Protein Subcellular Localization by Green Fluorescence Protein Tagging and 4',6-Diamidino-2-phenylindole Staining in Caenorhabditis elegans
09:36

Detecting Protein Subcellular Localization by Green Fluorescence Protein Tagging and 4',6-Diamidino-2-phenylindole Staining in Caenorhabditis elegans

Published on: July 30, 2018

9.7K
Nano-fEM: Protein Localization Using Photo-activated Localization Microscopy and Electron Microscopy
13:13

Nano-fEM: Protein Localization Using Photo-activated Localization Microscopy and Electron Microscopy

Published on: December 3, 2012

16.2K

科学领域:

  • 蛋白质组学是指蛋白质组学.
  • 细胞生物学 细胞生物学
  • 生物信息学是一种生物信息学.

背景情况:

  • 精确的蛋白质亚细胞定位对于理解蛋白质功能和疾病至关重要.
  • 目前用于蛋白质定位的机器学习方法主要使用2D图像,限制对复杂的3D细胞结构的分析.
  • 在3D中分析蛋白质分布提供了更高的分辨率,但由于数据稀缺和复杂的建模,面临着挑战.

研究的目的:

  • 开发一种新的深度学习模型,使用3D光显微镜图像进行精确的蛋白质亚细胞定位.
  • 通过结合生物知识和处理3D图像复杂性来解决现有方法的局限性.
  • 为了促进蛋白质转位分析和空间蛋白质组学中的生物标志物发现.

主要方法:

  • 开发了KE3DLoc,这是一个知识增强的深度学习模型,用于3D蛋白质亚细胞定位.
  • 实现了一个使用3D和2D投影细胞信息的图像特征提取模块.
  • 整合了一个知识增强模块,利用基因本体学 (GO) 知识图和优化的蛋白质表示.
  • 利用不对称损失和信心权重来管理数据不平衡和弱注释.
  • 采用蛋白质ID聚合来确保不同细胞的特征一致性.

主要成果:

  • KE3DLoc精确地识别了3D光显微镜图像中的蛋白质分布模式.
  • 该模型在三个公共数据集上显著优于现有方法.
  • 实验结果证明了该模型在空间蛋白质组学研究中的有效性.

结论:

  • KE3DLoc为3D蛋白质细胞下定位提供了一个强大的工具.
  • 基于知识的方法可以提高蛋白质的表现和定位的准确性.
  • 这一进步为空间蛋白质组学和疾病研究提供了宝贵的见解.