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相关概念视频

Antibody Structure and Classes01:25

Antibody Structure and Classes

850
Antibodies, also known as immunoglobulins, are produced by B cells in response to foreign substances, such as bacteria and viruses. These proteins are critical for recognizing and neutralizing these substances, protecting the body from potential harm.
The basic structure of an antibody consists of four protein chains: two identical heavy chains and two identical light chains. These chains are held together by disulfide bonds and other non-covalent interactions, forming a Y-shaped structure.
850
Antibody Structure01:10

Antibody Structure

59.6K
Overview
Antibodies, also known as immunoglobulins (Ig), are essential players of the adaptive immune system. These antigen-binding proteins are produced by B cells and make up 20 percent of the total blood plasma by weight. In mammals, antibodies fall into five different classes, which each elicits a different biological response upon antigen binding.
The Y-Shaped Structure of Antibodies Consists of Four Polypeptide Chains
Antibodies consist of four polypeptide chains: two identical heavy...
59.6K

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相关实验视频

Updated: Jun 12, 2025

Identification of Mouse and Human Antibody Repertoires by Next-Generation Sequencing
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Identification of Mouse and Human Antibody Repertoires by Next-Generation Sequencing

Published on: March 15, 2019

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一个针对抗体表征的共识平台.

Riham Ayoubi1, Joel Ryan2, Sara Gonzalez Bolivar1

  • 1Department of Neurology and Neurosurgery, Structural Genomics Consortium, the Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada.

Nature protocols
|December 17, 2024
PubMed
概括
此摘要是机器生成的。

一个新的淘汰细胞系平台标准化了西斑,免疫沉和免疫光的抗体表征. 这使得可重复的生物发现和可靠的抗体验证对研究人员.

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Author Spotlight: Advancing Biotherapeutic Mass Calculation by Introducing mAbScale, a Python-Based Desktop Application
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Determination of High-affinity Antibody-antigen Binding Kinetics Using Four Biosensor Platforms
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Determination of High-affinity Antibody-antigen Binding Kinetics Using Four Biosensor Platforms
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科学领域:

  • 生物化学 生物化学
  • 分子生物学分子生物学
  • 免疫学 免疫学 免疫学

背景情况:

  • 抗体研究对于生物发现至关重要,但缺乏标准化的性能指标.
  • 不一致的抗体性能阻碍了科学研究中的可重现性.

研究的目的:

  • 建立一个标准化,可扩展的平台,用于跨常见研究应用的抗体表征.
  • 促进透明的数据共享,以推动社区在识别可靠抗体方面的努力.

主要方法:

  • 开发一种基于淘汰细胞系的平台,用于抗体验证.
  • 实施西斑,免疫沉和免疫光的协议.
  • 使用同位素淘汰控制来进行系统的抗体性能比较.

主要成果:

  • 该平台可以在关键应用中系统地比较抗体性能.
  • 协议是可扩展的,需要最小的资源,可以由训练有素的研究生完成.
  • 提供了预期结果的例子,以指导抗体评估.

结论:

  • 开发的平台解决了对标准化抗体表征的需求.
  • 这种方法支持资源验证,并提高了生物研究中的数据可重复性.
  • 倡导开放的数据共享有助于整个社区努力识别高性能抗体.