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相关概念视频

Protein Networks02:26

Protein Networks

4.0K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.0K
Protein-protein Interfaces02:04

Protein-protein Interfaces

12.6K
Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
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Tagging and Fusion Proteins01:24

Tagging and Fusion Proteins

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Proteins are involved in several cellular processes and biochemical reactions. Analyzing a specific protein of interest requires it to be isolated from the other proteins in the cell. This is achieved by overexpressing the specific gene in a suitable host to produce large quantities of the target protein. A tag or label is recombined with the gene to produce a fusion protein containing the target protein and the tag. The tags on these fusion proteins can then be used for easy detection and...
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Proteomics01:33

Proteomics

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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...
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相关实验视频

Updated: Jul 23, 2025

Discovering Protein Interactions and Characterizing Protein Function Using HaloTag Technology
11:16

Discovering Protein Interactions and Characterizing Protein Function Using HaloTag Technology

Published on: July 12, 2014

37.1K

通过MAC-Tag方法分析蛋白相互作用.

Xiaonan Liu1,2, Kari Salokas1, Salla Keskitalo1

  • 1Institute of Biotechnology, HiLIFE Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland.

Methods in molecular biology (Clifton, N.J.)
|July 14, 2023
PubMed
概括

我们通过整合较新的近距离依赖标记 (PL) 标签,BioID2和UltraID来增强蛋白质组学的多种方法组合 (MAC) 标签工作流. 这提高了使用质谱法 (MS) 的蛋白质相互作用分析.

关键词:
关联性净化净化方法互动动学 (Interactomics) 是一个学科.这是一个MAC标签.这是一个MAC3标签.质谱测量质量谱测量蛋白质相互作用 蛋白质相互作用蛋白质组学是指蛋白质组学.靠近标签的标签.

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Protein Complex Affinity Capture from Cryomilled Mammalian Cells

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Resolving Affinity Purified Protein Complexes by Blue Native PAGE and Protein Correlation Profiling

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相关实验视频

Last Updated: Jul 23, 2025

Discovering Protein Interactions and Characterizing Protein Function Using HaloTag Technology
11:16

Discovering Protein Interactions and Characterizing Protein Function Using HaloTag Technology

Published on: July 12, 2014

37.1K
Protein Complex Affinity Capture from Cryomilled Mammalian Cells
10:37

Protein Complex Affinity Capture from Cryomilled Mammalian Cells

Published on: December 9, 2016

15.1K
Resolving Affinity Purified Protein Complexes by Blue Native PAGE and Protein Correlation Profiling
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Resolving Affinity Purified Protein Complexes by Blue Native PAGE and Protein Correlation Profiling

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科学领域:

  • 分子生物学分子生物学
  • 蛋白质组学是指蛋白质组学.
  • 生物化学 生物化学

背景情况:

  • 亲和性净化 (AP) 和靠近性依赖标记 (PL) 与质谱学 (MS) 相结合,是绘制蛋白相互作用的关键.
  • 原来的多种方法组合 (MAC) - 标签工作流便于AP和BioID分析从单个构造.
  • 与原始的BioID系统相比,新的PL标签如BioID2和UltraID提供了更小的尺寸和更高的标签效率.

研究的目的:

  • 通过分别纳入BioID2和UltraID来开发改进的MAC标签系统 (MAC2标签和MAC3标签).
  • 克服原来的MAC标签系统的局限性,并扩大其在蛋白质组学研究中的适用性.
  • 为增强的MAC-tag工作流提供生成细胞系,样本准备和MS分析的详细协议.

主要方法:

  • 通过将感兴趣的蛋白质 (POI) 融合到BioID2和UltraID,分别开发MAC2-tag和MAC3-tag系统.
  • 生成表达MAC/MAC2/MAC3标记POI的稳定细胞系.
  • 标准化AP和PL蛋白质净化协议,随后进行MS识别.

主要成果:

  • 将BioID2和UltraID成功集成到MAC标签工作流程中,创建了MAC2标签和MAC3标签系统.
  • 使用新系统进行AP和PL分析的可行性证明,并简化MS程序.
  • 预计这些增强的系统将提高蛋白质相互作用研究的效率和范围.

结论:

  • 与最初的MAC标签系统相比,MAC2标签和MAC3标签的工作流代表了显著的进步.
  • 这些更新的方法为研究人员提供了更具多功能性和高效的工具,用于全面的蛋白质组分析.
  • 详细的协议有助于在各种生物研究中采用和应用这些增强技术.