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

Monocytic niches escape T cell surveillance and promote Mycobacterium tuberculosis persistence in lymph nodes.

Immunity·2026
Same author

Modulation of Ferroptosis During Early <i>Mycobacterium tuberculosis</i> Infection Contributes to Beijing Lineage Strain SA161 Virulence.

bioRxiv : the preprint server for biology·2026
Same author

Host oxidative stress primes mycobacteria for rapid antibiotic resistance evolution.

Nature communications·2026
Same author

Single-cell profiling reveals that dynamic lung immune responses distinguish protection from susceptibility to tuberculosis.

PLoS pathogens·2026
Same author

A Chemical-Genetic Interaction Matrix Reveals Drug Mechanism and Genetic Architecture.

bioRxiv : the preprint server for biology·2026
Same author

Division of labor in trypanosome RNA processing and export through expanded Mex67 paralogs.

Nucleic acids research·2026

相关实验视频

Updated: Mar 13, 2026

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation
07:57

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

Published on: August 21, 2019

9.3K

使用自动化液体处理和计算建模,对双向纳米体协同作用的高分辨率量化.

Natasha M Bourgeois1, Satchel W Bell1, Jean Paul Olivier1

  • 1Center for Global Infectious Disease Research, Seattle Children's Research Institute, Seattle, WA, USA.

Bio-protocol
|March 12, 2026
PubMed
概括

这项研究引入了一种可重现的协议,以量化抗病毒纳米体对之间的功能协同作用. 该方法使用自动化液体处理和定量建模来识别强效,耐逃生的生物组合.

关键词:
抗病毒药物 抗病毒药物自动化液体处理自动化液体处理一个纳米人体.单域抗体是一种单域抗体.协同效应是一种协同效应.治疗方法 治疗方法

更多相关视频

Determination of High-affinity Antibody-antigen Binding Kinetics Using Four Biosensor Platforms
15:27

Determination of High-affinity Antibody-antigen Binding Kinetics Using Four Biosensor Platforms

Published on: April 17, 2017

21.6K
Calibration-free In Vitro Quantification of Protein Homo-oligomerization Using Commercial Instrumentation and Free, Open Source Brightness Analysis Software
08:22

Calibration-free In Vitro Quantification of Protein Homo-oligomerization Using Commercial Instrumentation and Free, Open Source Brightness Analysis Software

Published on: July 17, 2018

7.8K

相关实验视频

Last Updated: Mar 13, 2026

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation
07:57

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

Published on: August 21, 2019

9.3K
Determination of High-affinity Antibody-antigen Binding Kinetics Using Four Biosensor Platforms
15:27

Determination of High-affinity Antibody-antigen Binding Kinetics Using Four Biosensor Platforms

Published on: April 17, 2017

21.6K
Calibration-free In Vitro Quantification of Protein Homo-oligomerization Using Commercial Instrumentation and Free, Open Source Brightness Analysis Software
08:22

Calibration-free In Vitro Quantification of Protein Homo-oligomerization Using Commercial Instrumentation and Free, Open Source Brightness Analysis Software

Published on: July 17, 2018

7.8K

科学领域:

  • 生物技术是生物技术.
  • 免疫学 免疫学 免疫学
  • 病毒学 病毒学

背景情况:

  • 评估单域抗体的功能合作性对于开发有效的抗病毒生物制剂至关重要.
  • 了解中和纳米体对之间的协同效应可以提高合理的治疗设计.

研究的目的:

  • 提出一种可复制的协议,用于在病毒感染性试验中中和纳米体对之间量化功能协同作用.
  • 为了能够对组合纳米体治疗方法进行可靠的评估.

主要方法:

  • 利用受控的自动化液体处理来准备纳米体对的二维度矩阵.
  • 采用定量模型 (例如,MuSyC) 来适应中和数据,估计功效,合作性和疗效.
  • 综合实验,计算和可视化程序进行全面分析.

主要成果:

  • 该协议可重复量化功能协同作用,区分添加剂,协同作用和对抗作用.
  • 通过重复测量,可以获得可统计解释的参数估计.
  • 该框架有助于系统地发现协同作用的纳米体组合.

结论:

  • 该框架提供了一种强大的方法来评估使用标准设备和开源工具的纳米体合作性.
  • 该协议广泛适用于其他类型的结合或抑制分子,以发现协同作用的组合.
  • 这种方法促进了强效和耐逃生抗病毒生物制剂的开发.