Search research articles

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 Journal Methods Collections JoVE Encyclopedia of Experiments 存档

教育

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual 教师资源中心教师网站

使用条款与条件

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

A tumor profiling resource for ovarian cancer: insights into chemotherapy-driven heterogeneity and personalized treatment strategy.

Nature communications·2026

Same author

SpatioTemporal Omics Consortium: a global effort for biological discovery across species, space and time.

Nature methods·2026

Same author

Transcriptional repression by TGIF2 coordinates neurogenic priming and neural stem cell maintenance.

Science advances·2026

Same author

Comparative genomic analysis of clinically relevant human skin-associated fungi.

Nature communications·2026

Same author

Proteomics reveals spatial and molecular heterogeneities in advanced atherosclerotic carotid artery plaques.

Nature cardiovascular research·2026

Same author

NLRP1 inflammasome activation in skin equivalents reveals mechanistic insights into the roles of keratinocytes in psoriasis.

Cell death & disease·2026

Search research articles

相关实验视频

Updated: Jul 18, 2025

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

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

Published on: November 15, 2017

强大的基于二甲基的复合DIA通过参考通道将单细胞蛋白质组深度翻一番.

Marvin Thielert¹, Ericka Cm Itang¹, Constantin Ammar¹

¹Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.

Molecular systems biology

|August 21, 2023

概括

这项研究引入了用于增强单细胞蛋白质组的多重数据独立获取 (mDIA),使得更深入的蛋白质量化和更高的吞吐量用于精确瘤学应用.

关键词:

时间时间时间时间甲基二甲标签的标签多重复杂的多重复杂.一个单细胞的单细胞.空间蛋白质组学空间蛋白质组学

更多相关视频

Counting Proteins in Single Cells with Addressable Droplet Microarrays

Counting Proteins in Single Cells with Addressable Droplet Microarrays

Published on: July 6, 2018

Multiplexed Barcoding Image Analysis for Immunoprofiling and Spatial Mapping Characterization in the Single-Cell Analysis of Paraffin Tissue Samples

Multiplexed Barcoding Image Analysis for Immunoprofiling and Spatial Mapping Characterization in the Single-Cell Analysis of Paraffin Tissue Samples

Published on: April 7, 2023

相关实验视频

Last Updated: Jul 18, 2025

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

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

Published on: November 15, 2017

Counting Proteins in Single Cells with Addressable Droplet Microarrays

Counting Proteins in Single Cells with Addressable Droplet Microarrays

Published on: July 6, 2018

Multiplexed Barcoding Image Analysis for Immunoprofiling and Spatial Mapping Characterization in the Single-Cell Analysis of Paraffin Tissue Samples

Multiplexed Barcoding Image Analysis for Immunoprofiling and Spatial Mapping Characterization in the Single-Cell Analysis of Paraffin Tissue Samples

Published on: April 7, 2023

科学领域:

蛋白质组学是指蛋白质组学.
质谱测量质量谱测量
一个单细胞分析.

背景情况:

单细胞蛋白质组学对于理解生物异质性至关重要,但在深度,吞吐量和强度方面面临限制.
现有的方法很难从单个细胞提供全面的蛋白质水平见解.

研究的目的:

为增强单细胞蛋白质组学开发一个简化,多重化的工作流.
为了提高单细胞蛋白质分析中的蛋白质深度,吞吐量和稳定性.
应用新的工作流来识别瘤微环境中的蛋白质特征,用于精确瘤学.

主要方法:

开发一个精简的多重化数据独立采集 (mDIA) 工作流程.
批量或单细胞样品的自动化二甲基标签.
-N消化使MS1和MS2级别的五复数量化成为可能.
使用参考通道与RefQuant算法进行增强量化.
整合mDIA与空间蛋白质组学,以提高吞吐量.

主要成果:

mDIA 工作流程实现了自动化,完整的二甲基标签,而不会损失蛋白质深度.
在MS1和MS2两级均可实现五复数量化.
与以前的方法相比,RefQuant算法可以自信地量化每单细胞的蛋白质数量是以前的两倍.
工作流支持每天对80个单个细胞进行例行分析.
结合mDIA和空间蛋白质组学,深度视觉蛋白质组学的吞吐量增加了microdissection的7倍和MS分析的4倍.

结论:

开发的mDIA工作流显著提高了单细胞分析的蛋白质组深度和吞吐量.
这一进步使得每个细胞可以有更多的蛋白质的自信量化,从而改善了生物学洞察力.
对黑色素瘤的应用揭示了瘤微环境中的蛋白质特征,突出了精密瘤学的潜力.