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

2.1K
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...
2.1K

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

Effectiveness of a Network Open House Model to Recruit Trainees to Post-Baccalaureate STEM Programs.

Biochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular Biology·2026
Same author

The Caudate Nucleus Exhibits Distinct Pathology and Cell Type-Specific Responses Across Alzheimer's Disease.

bioRxiv : the preprint server for biology·2026
Same author

CD28 shapes T cell receptor signaling by regulating Lck dynamics and ZAP70 activation.

Frontiers in immunology·2025
Same author

Cell non-autonomous signaling through the conserved C. elegans glycoprotein hormone receptor FSHR-1 regulates cholinergic neurotransmission.

PLoS genetics·2024
Same author

CD28 Shapes T Cell Receptor Signaling by Regulating ZAP70 Activation and Lck Dynamics.

bioRxiv : the preprint server for biology·2024
Same author

ERK signaling promotes resistance to TRK kinase inhibition in NTRK fusion-driven glioma mouse models.

Cell reports·2024

相关实验视频

Updated: Jul 6, 2025

Quantitative Immunofluorescence to Measure Global Localized Translation
09:13

Quantitative Immunofluorescence to Measure Global Localized Translation

Published on: August 22, 2017

9.9K

在线性细胞结构中量化光点的斐济过程.

Heino Hulsey-Vincent1, Neriah Alvinez2,3, Samuel Witus4,5

  • 1Biology, Western Washington University.

microPublication biology
|January 3, 2024
PubMed
概括

研究人员开发了一个免费的,开源的斐济宏观,用于分析细胞结构中的蛋白质点. 该工具通过量化神经细胞等结构中的蛋白质积累来增强可再生细胞生物学研究.

更多相关视频

Author Spotlight: In-Depth Morphometric Examination and Quantification of Native Lens Structure Using Whole Mount Imaging
05:45

Author Spotlight: In-Depth Morphometric Examination and Quantification of Native Lens Structure Using Whole Mount Imaging

Published on: January 19, 2024

1.0K
Applications of pHluorin for Quantitative, Kinetic and High-throughput Analysis of Endocytosis in Budding Yeast
10:02

Applications of pHluorin for Quantitative, Kinetic and High-throughput Analysis of Endocytosis in Budding Yeast

Published on: October 23, 2016

10.9K

相关实验视频

Last Updated: Jul 6, 2025

Quantitative Immunofluorescence to Measure Global Localized Translation
09:13

Quantitative Immunofluorescence to Measure Global Localized Translation

Published on: August 22, 2017

9.9K
Author Spotlight: In-Depth Morphometric Examination and Quantification of Native Lens Structure Using Whole Mount Imaging
05:45

Author Spotlight: In-Depth Morphometric Examination and Quantification of Native Lens Structure Using Whole Mount Imaging

Published on: January 19, 2024

1.0K
Applications of pHluorin for Quantitative, Kinetic and High-throughput Analysis of Endocytosis in Budding Yeast
10:02

Applications of pHluorin for Quantitative, Kinetic and High-throughput Analysis of Endocytosis in Budding Yeast

Published on: October 23, 2016

10.9K

科学领域:

  • 细胞生物学 细胞生物学
  • 神经科学是一个神经科学.
  • 生物物理学的生物物理.

背景情况:

  • 精确量化细胞结构中的蛋白质积累对于理解蛋白质贩运和平衡至关重要.
  • 现有的成像分析方法通常依赖于专有软件,限制了可访问性和可重复性.
  • 在分析线性结构中的点状蛋白积累方面存在特定的挑战,例如神经元过程.

研究的目的:

  • 为ImageJ/Fiji,一个免费的,开源的图像分析软件,引入一套新的宏.
  • 提供一种可复制和可访问的方法来量化细胞结构中的蛋白质点.
  • 为了能够详细分析蛋白质点,包括强度,密度和全宽半最大值 (FWHM).

主要方法:

  • 开发ImageJ/斐济宏用于蛋白质点的自动识别和量化.
  • 宏的应用,以分析蛋白质积累在线性结构,以*C. elegans*神经瘤为例.
  • 通过使用独立数据集与专有软件 (IgorPro) 进行并排比较来验证宏观性能.

主要成果:

  • 斐济宏可靠地识别和量化蛋白质点,提供强度,密度和FWHM的数据.
  • 分析表明,斐济宏观软件和专有软件之间的结果是可比的.
  • 宏观为细胞生物学中的定量成像分析提供了一个强大的替代方案.

结论:

  • 开发的斐济宏为分析蛋白质点提供了一个强大的,免费的,开源的工具.
  • 这种宏观增强了细胞生物学研究的可复制性和可访问性,特别是在涉及蛋白质贩运和平衡的研究中.
  • 该工具可方便在各种细胞环境中对蛋白质积累进行详细的定量分析.