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

Proteomics01:33

Proteomics

7.9K
A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
7.9K
Peptide Identification Using Tandem Mass Spectrometry01:33

Peptide Identification Using Tandem Mass Spectrometry

6.8K
Tandem mass spectrometry, also known as MS/MS or MS2, is an analytical technique that employs two mass analyzers. Essentially it is a series of mass spectrometers that helps isolate a particular biomolecule and then helps study its chemical properties.
This technique helps gather information regarding the protein from which the peptide was obtained and to study the peptides’ amino acid sequence. Identifying peptides from a complex mixture is an important component of the growing field of...
6.8K
MALDI-TOF Mass Spectrometry01:19

MALDI-TOF Mass Spectrometry

5.2K
Mass spectrometry is a powerful characterization technique that can identify and separate a wide variety of compounds ranging from chemical to biological entities, based on their mass-to-charge ratio (m/z). The instruments that allow this detection, known as mass spectrometers, have three components: an ion source, a mass analyzer, and a detector. These spectrometers differ based on the nature of their ion source and analyzers.
Matrix-assisted laser desorption ionization (MALDI) is a commonly...
5.2K

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

Optimizing NGN2 Dosage Enhances the Neuronal Enrichment of iPSC-derived Neuronal Cultures.

Molecular & cellular proteomics : MCP·2026
Same author

Development and prospective evaluation of a real-time deep learning model for inpatient hypoglycemia prediction.

NPJ digital medicine·2026
Same author

Author Correction: Regulation of urea cycle by reversible high-stoichiometry lysine succinylation.

Nature metabolism·2026
Same author

Robotic perturbation proteomics and AI agents enable scalable drug mechanism discovery.

bioRxiv : the preprint server for biology·2026
Same author

Single-cell trajectory inference for detecting transient events in biological processes.

Nucleic acids research·2026
Same author

Full-DIA enables complete single-cell proteomics from diaPASEF using deep learning.

Genome biology·2026
Same journal

The Single-Cell Pediatric Cancer Atlas: Data portal and open-source tools for single-cell transcriptomics of pediatric tumors.

Cell genomics·2026
Same journal

NERINE reveals rare variant associations in gene networks across phenotypes and implicates an SNCA-PRL-LRRK2 subnetwork in Parkinson's disease.

Cell genomics·2026
Same journal

Single-cell profiling of DNA methylation in autism spectrum disorder prefrontal cortex reveals distinct regulatory and aging signatures.

Cell genomics·2026
Same journal

BMI-genome interactions regulate global gene expression with emphasis in brain and gut.

Cell genomics·2026
Same journal

Translating genome-wide association studies at multiple scales: Drug target prioritization, cellular architectures, and organ imaging.

Cell genomics·2026
Same journal

CellBouncer, a unified toolkit for single-cell demultiplexing and ambient RNA analysis, reveals hominid mitochondrial incompatibilities.

Cell genomics·2026
查看所有相关文章

相关实验视频

Updated: Sep 10, 2025

Single-Cell Proteomics Preparation for Mass Spectrometry Analysis Using Freeze-Heat Lysis and an Isobaric Carrier
06:13

Single-Cell Proteomics Preparation for Mass Spectrometry Analysis Using Freeze-Heat Lysis and an Isobaric Carrier

Published on: December 9, 2022

4.0K

使用质谱的单细胞蛋白质组学

Amanda Momenzadeh1, Jesse G Meyer1

  • 1Department of Computational Biomedicine, Smidt Heart Institute, Board of Governors Innovation Center, Advanced Clinical Biosystems Research Institute, Cedars Sinai Medical Center, Los Angeles, CA 90048, USA.

Cell genomics
|August 21, 2025
PubMed
概括
此摘要是机器生成的。

最近基于质谱的单细胞蛋白质组学 (SCP) 的进展提高了灵敏度和吞吐量. 综合分析和计算策略现在可以更深入,更广泛地覆盖单细胞蛋白质组.

更多相关视频

Integrated Cell Manipulation Platform Coupled with the Single-probe for Mass Spectrometry Analysis of Drugs and Metabolites in Single Suspension Cells
07:55

Integrated Cell Manipulation Platform Coupled with the Single-probe for Mass Spectrometry Analysis of Drugs and Metabolites in Single Suspension Cells

Published on: June 21, 2019

5.8K
Cell-Lineage Guided Mass Spectrometry Proteomics in the Developing Frog Embryo
09:18

Cell-Lineage Guided Mass Spectrometry Proteomics in the Developing Frog Embryo

Published on: April 21, 2022

1.8K

相关实验视频

Last Updated: Sep 10, 2025

Single-Cell Proteomics Preparation for Mass Spectrometry Analysis Using Freeze-Heat Lysis and an Isobaric Carrier
06:13

Single-Cell Proteomics Preparation for Mass Spectrometry Analysis Using Freeze-Heat Lysis and an Isobaric Carrier

Published on: December 9, 2022

4.0K
Integrated Cell Manipulation Platform Coupled with the Single-probe for Mass Spectrometry Analysis of Drugs and Metabolites in Single Suspension Cells
07:55

Integrated Cell Manipulation Platform Coupled with the Single-probe for Mass Spectrometry Analysis of Drugs and Metabolites in Single Suspension Cells

Published on: June 21, 2019

5.8K
Cell-Lineage Guided Mass Spectrometry Proteomics in the Developing Frog Embryo
09:18

Cell-Lineage Guided Mass Spectrometry Proteomics in the Developing Frog Embryo

Published on: April 21, 2022

1.8K

科学领域:

  • 蛋白质组学
  • 生物技术
  • 计算生物学

背景情况:

  • 单细胞蛋白质组学 (SCP) 正在迅速发展.
  • 在样本准备,多重复合和硬件方面的改进增加了灵敏度和吞吐量.
  • 计算工具对于处理缺少的数据和标准化分析至关重要.

研究的目的:

  • 总结SCP最近的技术和软件进步.
  • 突出分析,计算和实验策略的整合.
  • 讨论单细胞蛋白质覆盖的未来.

主要方法:

  • 对微流体和机器人样本准备技术的审查.
  • 基于MS1和MS2的复杂化策略的分析.
  • 专门硬件的评估 (例如,timsTOF Ultra 2,Astral).
  • 对规范化,归算和无代码平台的计算工作流程的评估.

主要成果:

  • 显著提升敏感度,吞吐量和蛋白质覆盖范围.
  • 通过量身定制的计算工作流程有效解决缺失的数据挑战.
  • 细胞异质性的标准化和可重现的分析.
  • 从单个细胞进行增强蛋白质覆盖.

结论:

  • 分析,计算和实验策略的整合是推动SCP的关键.
  • 未来的发展将使单细胞蛋白质的覆盖范围更深,更广泛.
  • 高吞吐量和可复制的单细胞蛋白质形正变得越来越可行.