• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

免疫表位数据库中的抗原特异性抗体和 T 细胞受体。

Epitope Specific Antibodies and T Cell Receptors in the Immune Epitope Database.

机构信息

Center for Infectious Disease, La Jolla Institute for Allergy and Immunology, La Jolla, CA, United States.

Department of Bio and Health Informatics, Technical University of Denmark, Kongens Lyngby, Denmark.

出版信息

Front Immunol. 2018 Nov 20;9:2688. doi: 10.3389/fimmu.2018.02688. eCollection 2018.

DOI:10.3389/fimmu.2018.02688
PMID:30515166
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6255941/
Abstract

The Immune Epitope Database (IEDB) is a free public resource which catalogs experiments characterizing immune epitopes. To accommodate data from next generation repertoire sequencing experiments, we recently updated how we capture and query epitope specific antibodies and T cell receptors. Specifically, we are now storing partial receptor sequences sufficient to determine CDRs and VDJ gene usage which are commonly identified by repertoire sequencing. For previously captured full length receptor sequencing data, we have calculated the corresponding CDR sequences and gene usage information using IMGT numbering and VDJ gene nomenclature format. To integrate information from receptors defined at different levels of resolution, we grouped receptors based on their host species, receptor type and CDR3 sequence. As of August 2018, we have cataloged sequence information for more than 22,510 receptors in 18,292 receptor groups, shown to bind to more than 2,241 distinct epitopes. These data are accessible as full exports and through a new dedicated query interface. The later combines the new ability to search by receptor characteristics with previously existing capability to search by epitope characteristics such as the infectious agent the epitope is derived from, or the kind of immune response involved in its recognition. We expect that this comprehensive capture of epitope specific immune receptor information will provide new insights into receptor-epitope interactions, and facilitate the development of novel tools that help in the analysis of receptor repertoire data.

摘要

免疫表位数据库(IEDB)是一个免费的公共资源,用于对免疫表位进行特征分析实验进行编目。为了适应下一代免疫受体库测序实验的数据,我们最近更新了如何捕获和查询表位特异性抗体和 T 细胞受体的方法。具体来说,我们现在存储的受体序列片段足以确定 CDR 和 VDJ 基因使用情况,这些信息通常可以通过免疫受体库测序来识别。对于之前捕获的全长受体测序数据,我们使用 IMGT 编号和 VDJ 基因命名格式计算了相应的 CDR 序列和基因使用信息。为了整合不同分辨率水平定义的受体信息,我们根据宿主物种、受体类型和 CDR3 序列对受体进行分组。截至 2018 年 8 月,我们已经在 18292 个受体组中编目了超过 22510 个受体的序列信息,这些受体被证明可以结合超过 2241 个独特的表位。这些数据可通过完整的导出和新的专用查询界面访问。后者结合了按受体特征搜索的新功能,以及以前按表位特征搜索的功能,如表位来源于的病原体,或涉及到其识别的免疫反应类型。我们期望这种对表位特异性免疫受体信息的全面捕获将为受体-表位相互作用提供新的见解,并有助于开发有助于分析受体库数据的新工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e45e/6255941/1126955bfe98/fimmu-09-02688-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e45e/6255941/631a176ceebc/fimmu-09-02688-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e45e/6255941/cddde8dbb255/fimmu-09-02688-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e45e/6255941/45902702e2fa/fimmu-09-02688-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e45e/6255941/985359a2859b/fimmu-09-02688-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e45e/6255941/ca1d72b47cbf/fimmu-09-02688-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e45e/6255941/327c914b7829/fimmu-09-02688-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e45e/6255941/1126955bfe98/fimmu-09-02688-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e45e/6255941/631a176ceebc/fimmu-09-02688-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e45e/6255941/cddde8dbb255/fimmu-09-02688-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e45e/6255941/45902702e2fa/fimmu-09-02688-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e45e/6255941/985359a2859b/fimmu-09-02688-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e45e/6255941/ca1d72b47cbf/fimmu-09-02688-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e45e/6255941/327c914b7829/fimmu-09-02688-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e45e/6255941/1126955bfe98/fimmu-09-02688-g0007.jpg

相似文献

1
Epitope Specific Antibodies and T Cell Receptors in the Immune Epitope Database.免疫表位数据库中的抗原特异性抗体和 T 细胞受体。
Front Immunol. 2018 Nov 20;9:2688. doi: 10.3389/fimmu.2018.02688. eCollection 2018.
2
TCRMatch: Predicting T-Cell Receptor Specificity Based on Sequence Similarity to Previously Characterized Receptors.TCRMatch:基于与已鉴定受体的序列相似性预测 T 细胞受体特异性。
Front Immunol. 2021 Mar 11;12:640725. doi: 10.3389/fimmu.2021.640725. eCollection 2021.
3
Contribution of T-cell receptor repertoire breadth to the dominance of epitope-specific CD8+ T-lymphocyte responses.T细胞受体库广度对表位特异性CD8 + T淋巴细胞反应优势的贡献。
J Virol. 2006 Dec;80(24):12032-40. doi: 10.1128/JVI.01479-06. Epub 2006 Oct 11.
4
Benchmark datasets of immune receptor-epitope structural complexes.免疫受体-抗原结构复合物的基准数据集。
BMC Bioinformatics. 2019 Oct 10;20(1):490. doi: 10.1186/s12859-019-3109-6.
5
The Immune Epitope Database and Analysis Resource Program 2003-2018: reflections and outlook.免疫表位数据库和分析资源计划 2003-2018:反思与展望。
Immunogenetics. 2020 Feb;72(1-2):57-76. doi: 10.1007/s00251-019-01137-6. Epub 2019 Nov 25.
6
Detection of Enriched T Cell Epitope Specificity in Full T Cell Receptor Sequence Repertoires.检测全 T 细胞受体序列库中富集的 T 细胞表位特异性。
Front Immunol. 2019 Nov 29;10:2820. doi: 10.3389/fimmu.2019.02820. eCollection 2019.
7
A Framework for Annotation of Antigen Specificities in High-Throughput T-Cell Repertoire Sequencing Studies.高通量 T 细胞受体测序研究中抗原特异性注释的框架。
Front Immunol. 2019 Sep 26;10:2159. doi: 10.3389/fimmu.2019.02159. eCollection 2019.
8
IEDB-3D: structural data within the immune epitope database.免疫表位数据库中的IEDB-3D:结构数据
Nucleic Acids Res. 2011 Jan;39(Database issue):D1164-70. doi: 10.1093/nar/gkq888. Epub 2010 Oct 28.
9
Diverse fine specificity and receptor repertoire of T cells reactive to the major VP1 epitope (VP1230-250) of Theiler's virus: V beta restriction correlates with T cell recognition of the c-terminal residue.对泰勒氏病毒主要VP1表位(VP1230 - 250)产生反应的T细胞具有多样的精细特异性和受体库:Vβ限制与T细胞对C末端残基的识别相关。
J Immunol. 1999 Jun 15;162(12):7049-57.
10
Paired TCRαβ analysis of virus-specific CD8(+) T cells exposes diversity in a previously defined 'narrow' repertoire.对病毒特异性CD8(+) T细胞进行配对TCRαβ分析,揭示了先前定义的“狭窄”T细胞库中的多样性。
Immunol Cell Biol. 2015 Oct;93(9):804-14. doi: 10.1038/icb.2015.44. Epub 2015 Mar 25.

引用本文的文献

1
Computation strategies and clinical applications in neoantigen discovery towards precision cancer immunotherapy.精准癌症免疫治疗新抗原发现中的计算策略与临床应用
Biomark Res. 2025 Jul 9;13(1):96. doi: 10.1186/s40364-025-00808-9.
2
Molecular and Immunological Properties of a Chimeric Glycosyl Hydrolase 18 Based on Immunoinformatics Approaches: A Design of a New Anti- Vaccine.基于免疫信息学方法的嵌合糖基水解酶18的分子和免疫学特性:一种新型抗疫苗的设计
ACS Pharmacol Transl Sci. 2024 Dec 31;8(1):78-96. doi: 10.1021/acsptsci.4c00341. eCollection 2025 Jan 10.
3
The characteristics of TCR CDR3 repertoire in COVID-19 patients and SARS-CoV-2 vaccine recipients.

本文引用的文献

1
Camelid Single-Domain Antibodies: Historical Perspective and Future Outlook.骆驼科单域抗体:历史回顾与未来展望
Front Immunol. 2017 Nov 20;8:1589. doi: 10.3389/fimmu.2017.01589. eCollection 2017.
2
Reproducibility and Reuse of Adaptive Immune Receptor Repertoire Data.适应性免疫受体库数据的可重复性与再利用
Front Immunol. 2017 Nov 1;8:1418. doi: 10.3389/fimmu.2017.01418. eCollection 2017.
3
Adaptive Immune Receptor Repertoire Community recommendations for sharing immune-repertoire sequencing data.适应性免疫受体库社区关于共享免疫受体测序数据的建议。
新型冠状病毒肺炎患者和新型冠状病毒疫苗接种者的 TCR CDR3 库特征。
Virulence. 2024 Dec;15(1):2421987. doi: 10.1080/21505594.2024.2421987. Epub 2024 Nov 4.
4
TCRcost: a deep learning model utilizing TCR 3D structure for enhanced of TCR-peptide binding.TCRcost:一种利用TCR三维结构增强TCR-肽结合的深度学习模型。
Front Genet. 2024 Oct 2;15:1346784. doi: 10.3389/fgene.2024.1346784. eCollection 2024.
5
Anchor Clustering for million-scale immune repertoire sequencing data.用于百万规模免疫组库测序数据的锚定聚类
BMC Bioinformatics. 2024 Jan 25;25(1):42. doi: 10.1186/s12859-024-05659-z.
6
EPIC-TRACE: predicting TCR binding to unseen epitopes using attention and contextualized embeddings.EPIC-TRACE:使用注意力和上下文化嵌入来预测 TCR 与未见表位的结合。
Bioinformatics. 2023 Dec 1;39(12). doi: 10.1093/bioinformatics/btad743.
7
A meta-analysis of epitopes in prostate-specific antigens identifies opportunities and knowledge gaps.一项针对前列腺特异性抗原表位的荟萃分析确定了机会和知识差距。
Hum Immunol. 2023 Nov;84(11):578-589. doi: 10.1016/j.humimm.2023.08.145. Epub 2023 Sep 9.
8
Creating an Innovative Artificial Intelligence-Based Technology (TCRact) for Designing and Optimizing T Cell Receptors for Use in Cancer Immunotherapies: Protocol for an Observational Trial.创建一种基于人工智能的创新技术(TCRact),用于设计和优化用于癌症免疫疗法的T细胞受体:一项观察性试验方案。
JMIR Res Protoc. 2023 Jul 13;12:e45872. doi: 10.2196/45872.
9
iTCep: a deep learning framework for identification of T cell epitopes by harnessing fusion features.iTCep:一种利用融合特征识别T细胞表位的深度学习框架。
Front Genet. 2023 May 9;14:1141535. doi: 10.3389/fgene.2023.1141535. eCollection 2023.
10
Antigen-specificity measurements are the key to understanding T cell responses.抗原特异性测量是理解 T 细胞反应的关键。
Front Immunol. 2023 Apr 14;14:1127470. doi: 10.3389/fimmu.2023.1127470. eCollection 2023.
Nat Immunol. 2017 Nov 16;18(12):1274-1278. doi: 10.1038/ni.3873.
4
STCRDab: the structural T-cell receptor database.STCRDab:结构性 T 细胞受体数据库。
Nucleic Acids Res. 2018 Jan 4;46(D1):D406-D412. doi: 10.1093/nar/gkx971.
5
VDJdb: a curated database of T-cell receptor sequences with known antigen specificity.VDJdb:一个经策展的 T 细胞受体序列数据库,具有已知的抗原特异性。
Nucleic Acids Res. 2018 Jan 4;46(D1):D419-D427. doi: 10.1093/nar/gkx760.
6
Current progress in innovative engineered antibodies.创新工程抗体的最新进展。
Protein Cell. 2018 Jan;9(1):86-120. doi: 10.1007/s13238-017-0457-8. Epub 2017 Aug 18.
7
McPAS-TCR: a manually curated catalogue of pathology-associated T cell receptor sequences.McPAS-TCR:一个经人工整理的与病理学相关的 T 细胞受体序列目录。
Bioinformatics. 2017 Sep 15;33(18):2924-2929. doi: 10.1093/bioinformatics/btx286.
8
ATLAS: A database linking binding affinities with structures for wild-type and mutant TCR-pMHC complexes.ATLAS:一个将野生型和突变型TCR-pMHC复合物的结合亲和力与结构相联系的数据库。
Proteins. 2017 May;85(5):908-916. doi: 10.1002/prot.25260. Epub 2017 Feb 16.
9
The FAIR Guiding Principles for scientific data management and stewardship.科学数据管理和保存的 FAIR 指导原则。
Sci Data. 2016 Mar 15;3:160018. doi: 10.1038/sdata.2016.18.
10
An ontology for major histocompatibility restriction.主要组织相容性限制的本体论。
J Biomed Semantics. 2016 Jan 11;7:1. doi: 10.1186/s13326-016-0045-5. eCollection 2016.