Jove
Visualize
联系我们

相关概念视频

Diversity of Antigen Receptors01:28

Diversity of Antigen Receptors

513
Antigen receptors are essential components of the immune system crucial in defending the body against foreign invaders. These receptors are present on the surface of B and T cells, enabling them to recognize antigens and mount an appropriate immune response.
Before encountering any antigen, lymphocytes express these receptors. On B cells, the antigen receptor is a membrane-bound antibody molecule called BCR; on T cells, it is a T cell receptor or TCR. B and T cell receptors are composed of two...
513
Special Features of Adaptive Immunity01:20

Special Features of Adaptive Immunity

745
The adaptive immune system, a crucial component of the overall immune response, offers a highly specialized defense against pathogens. It involves specific cell types and features, enabling it to combat infections effectively and efficiently.
The primary cell types involved in adaptive immunity are T cells and B cells. Each type has a unique role in defending the body against pathogens. T cells are responsible for cell-mediated immunity. They identify and eliminate infected cells directly,...
745

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

Polyfunctional antibody signature defines protection in Andes hantavirus survival.

Frontiers in immunology·2026
Same author

PEPE: scalable extraction of multi-modal protein language model representations.

Bioinformatics (Oxford, England)·2026
Same author

Defective B cell tolerance in SLE lymph nodes underpins VH<sub>4-34</sub> "clonal damnation" and PD-1<sup>+</sup>TOX<sup>+</sup> autoreactive B cells expansion.

medRxiv : the preprint server for health sciences·2026
Same author

Challenges and future directions of AIRR-seq-based diagnostics.

Immunoinformatics (Amsterdam, Netherlands)·2026
Same author

<i>N</i>-acyl-homoserine lactone-based quorum sensing beyond canonical lineages: insights from Actinomycetota.

Frontiers in microbiology·2026
Same author

Unsupervised Classification of English Words Based on Phonological Information: Discovery of Germanic and Latinate Clusters.

Open mind : discoveries in cognitive science·2026
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

相关实验视频

Updated: Jun 4, 2025

Identification of Mouse and Human Antibody Repertoires by Next-Generation Sequencing
08:51

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

Published on: March 15, 2019

12.3K

阅读剧目:使用机器学习进行自适应性免疫受体分析的进展.

Timothy J O'Donnell1, Chakravarthi Kanduri2, Giulio Isacchini1

  • 1Imprint Labs, LLC, New York, NY, USA.

Cell systems
|December 19, 2024
PubMed
概括

机器学习可以从B细胞和T细胞受体序列解码自适应性免疫系统反应. 这种方法有望通过改善我们对免疫记忆的理解,在疫苗,治疗和诊断方面取得进展.

更多相关视频

T and B Cell Receptor Immune Repertoire Analysis using Next-generation Sequencing
08:59

T and B Cell Receptor Immune Repertoire Analysis using Next-generation Sequencing

Published on: January 12, 2021

8.1K
Microfluidic Co-Culture Models for Dissecting the Immune Response in in vitro Tumor Microenvironments
07:46

Microfluidic Co-Culture Models for Dissecting the Immune Response in in vitro Tumor Microenvironments

Published on: April 30, 2021

4.6K

相关实验视频

Last Updated: Jun 4, 2025

Identification of Mouse and Human Antibody Repertoires by Next-Generation Sequencing
08:51

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

Published on: March 15, 2019

12.3K
T and B Cell Receptor Immune Repertoire Analysis using Next-generation Sequencing
08:59

T and B Cell Receptor Immune Repertoire Analysis using Next-generation Sequencing

Published on: January 12, 2021

8.1K
Microfluidic Co-Culture Models for Dissecting the Immune Response in in vitro Tumor Microenvironments
07:46

Microfluidic Co-Culture Models for Dissecting the Immune Response in in vitro Tumor Microenvironments

Published on: April 30, 2021

4.6K

科学领域:

  • 免疫学 免疫学 免疫学
  • 生物信息学是一种生物信息学.
  • 计算生物学 计算生物学

背景情况:

  • 适应性免疫系统在B和T细胞受体 (BCR和TCR) 序列中编码免疫史.
  • 解读这些序列对于理解免疫反应至关重要,但仍然是一个重大挑战.
  • 机器学习 (ML) 提供了分析适应性免疫受体谱的潜在解决方案.

研究的目的:

  • 探索机器学习在解密自适应性免疫受体序列中的应用.
  • 突出ML在推动疫苗,治疗和诊断开发方面的潜力.
  • 确定该领域的关键挑战和未来方向.

主要方法:

  • 审查和综合当前的机器学习方法应用于免疫受体谱系分析.
  • 讨论ML任务,包括抗原与受体结合的预测,受体生成和疾病诊断.
  • 确定数据生成和研究协调方面的局限性和机会.

主要成果:

  • 机器学习正在积极研究适应性免疫内的各种应用.
  • 成功应用ML可以显著提高疫苗和治疗开发.
  • 了解基本免疫学的进步可以通过谱系分析来加速.

结论:

  • 机器学习具有显著的潜力,可以从自适应性免疫受体序列中解锁洞察力.
  • 解决软件基准测试,数据生成和研究合作方面的挑战至关重要.
  • 需要协调努力才能充分实现ML在免疫学中的好处.