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

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

Hands-free phosphoproteomics workflow with a high-throughput automated system enabled by superhydrophilic nanomaterials.

Mikrochimica acta·2026
Same author

Assembly-Independent Intramolecular Chiroptical Amplification in Figure-Eight-Shape Multi-Resonance Emitters: Efficient Solution-Processed Circularly Polarized Electroluminescence.

Angewandte Chemie (International ed. in English)·2026
Same author

Enthalpy-Driven Topological Programming of (TPMS)-Like Carbon Networks.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

A Near-Infrared-Triggered Luminescence-Activated System for In Vivo Biomacromolecular Tagging and Photocatalytic Crosslinking for Large-Scale Investigation of RNA-Protein Complexes in Living Mice.

Journal of the American Chemical Society·2026
Same author

Optogenetic control of plasma membrane O-GlcNAcylation regulates WNK1 condensates and cellular signaling.

Cell chemical biology·2026
Same author

Sleep stage uncertainty and mixing in isolated REM sleep behavior disorder.

Sleep medicine·2026

相关实验视频

Updated: May 23, 2025

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
09:19

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Published on: July 6, 2022

4.8K

通过深度学习促进的稀疏采样策略,深度和高吞吐量空间蛋白质组学用于全组织切片分析.

Ritian Qin1,2, Jiacheng Ma1,2, Fuchu He3,4

  • 1School of Life Sciences, Tsinghua University, Beijing, Beijing, China.

Cell discovery
|March 11, 2025
PubMed
概括

研究人员开发了一种空间蛋白质组学 (S4P) 稀疏采样策略,用于绘制小鼠大脑中的9000多种蛋白质. 这种新方法可以在大型组织样本中进行深度蛋白质组映射,从而推进疾病生物标志物的发现.

更多相关视频

A Streamlined Approach for Mass Spectrometry-Based Proteomics Using Selected Tissue Regions
09:00

A Streamlined Approach for Mass Spectrometry-Based Proteomics Using Selected Tissue Regions

Published on: April 18, 2025

317
Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
10:37

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Published on: November 15, 2017

11.9K

相关实验视频

Last Updated: May 23, 2025

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
09:19

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Published on: July 6, 2022

4.8K
A Streamlined Approach for Mass Spectrometry-Based Proteomics Using Selected Tissue Regions
09:00

A Streamlined Approach for Mass Spectrometry-Based Proteomics Using Selected Tissue Regions

Published on: April 18, 2025

317
Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
10:37

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Published on: November 15, 2017

11.9K

科学领域:

  • 蛋白质组学是指蛋白质组学.
  • 系统生物学 系统生物学
  • 生物技术是生物技术.

背景情况:

  • 细胞异质性和空间组织是哺乳动物组织功能的关键.
  • 空间转录组学已经进步,但由于蛋白质检测局限性,空间蛋白质组学滞后.
  • 准确的空间蛋白质组映射对于理解疾病机制和识别生物标志物至关重要.

研究的目的:

  • 开发一种用于高分辨率,大规模空间蛋白质组映射的新方法.
  • 克服当前空间蛋白质组学技术在吞吐量和灵敏度方面的局限性.
  • 为了生成一个复杂的器官迄今为止最全面的空间蛋白质组数据集.

主要方法:

  • 开发了空间蛋白质组学 (S4P) 的稀疏采样策略.
  • 使用计算辅助图像重建用于数据分析.
  • 将S4P策略应用于厘米大小的小鼠脑组织样本.

主要成果:

  • 产生了迄今为止最大的空间蛋白质组数据集,识别了9000多种蛋白质.
  • 在厘米大小的组织样本中实现了深度蛋白质组覆盖.
  • 在小鼠大脑中发现了潜在的新型区域和细胞类型特定的蛋白质标记物.

结论:

  • S4P策略显著提高了大型组织样本的空间蛋白质组学能力.
  • 与现有方法相比,这种方法提供了更好的灵敏度和吞吐量.
  • 预计S4P将在未来的生物和医学研究中广泛应用于各种组织.