Advances in immunomics research
10.3969/j.issn.1000-484X.2024.01.029
- VernacularTitle:免疫组学的研究进展
- Author:
Kang TANG
1
;
Yongli HOU
;
Yazhen WANG
;
Lihua CHEN
Author Information
1. 中国人民解放军空军军医大学基础医学院免疫学教研室,西安 710032
- Keywords:
Immunome;
Immunomics;
Immunoinformatics;
Artificial intelligence
- From:
Chinese Journal of Immunology
2024;40(1):185-191
- CountryChina
- Language:Chinese
-
Abstract:
With the progress of high-throughput sequencing technologies and bioinformatics,and deepening understanding of immune system,immunomics has evolved from initially deciphering gene sequences of B cell receptor(BCR)and T cell receptor(TCR)to unraveling and mapping interactions between host immune system and antigens,as well as panorama of host immune system response mechanisms,which now encompasses various research areas,such as antigen epitopeomics,immunogenomics,immunopro-teomics,antibodyomics and immunoinformatics.Based on a large amount of immunological research data,immunological databases such as ImmPort,VDJdb and IEDB have been established to accelerate discovery of new antigen epitopes and study of immune response mechanisms.Immunomics has revealed the association between immune system and diseases,promoted the development of novel vac-cines and immunotherapeutic strategies,and effectively drove the development of personalized medicine and precision medicine.In recent years,integration of immunome with exposome and fusion it with artificial intelligence will have a significant impact on compre-hensively understanding immune system's response and regulatory mechanisms to environmental factors,as well as deciphering molecular mechanisms underlying disease occurrence and progression.