Immunosenescence Inventory-a multi-omics database for immune aging research

被引:0
|
作者
Li, Hao [1 ,2 ,3 ]
Zhao, Wei [2 ,3 ,4 ]
Yang, Fei [2 ,4 ]
Qiao, Qin [2 ]
Ma, Shuai [3 ,4 ,5 ,6 ,7 ]
Yang, Kuan [1 ,3 ,8 ]
Song, Shuhui [2 ,3 ]
Wang, Si [7 ,9 ,10 ,11 ,12 ]
Qu, Jing [3 ,5 ,6 ,7 ,13 ,14 ]
Liu, Guang-Hui [3 ,5 ,6 ,7 ,9 ,10 ,14 ]
Bao, Yiming [2 ,3 ,4 ]
Zhang, Weiqi [1 ,2 ,3 ,6 ,7 ,8 ]
机构
[1] China Natl Ctr Bioinformat, Beijing 100101, Peoples R China
[2] Chinese Acad Sci, Beijing Inst Genom, Beijing 100101, Peoples R China
[3] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[4] China Natl Ctr Bioinformat, Natl Genom Data Ctr, Beijing 100101, Peoples R China
[5] Chinese Acad Sci, Inst Zool, Key Lab Organ Regenerat & Reconstruct, State Key Lab Membrane Biol, Beijing 100101, Peoples R China
[6] Chinese Acad Sci, Inst Stem Cell & Regenerat, Beijing 100101, Peoples R China
[7] Aging Biomarker Consortium, Beijing 100101, Peoples R China
[8] Univ Chinese Acad Sci, Sino Danish Coll, Beijing 101408, Peoples R China
[9] Capital Med Univ, Xuanwu Hosp, Adv Innovat Ctr Human Brain Protect, Beijing 100053, Peoples R China
[10] Capital Med Univ, Natl Clin Res Ctr Geriatr Disorders, Xuanwu Hosp, Beijing 100053, Peoples R China
[11] Capital Med Univ, Xuanwu Hosp, Aging Translat Med Ctr, Beijing 100053, Peoples R China
[12] Univ Chinese Acad Sci, Chongqing Renji Hosp, Chongqing 400062, Peoples R China
[13] Chinese Acad Sci, Inst Zool, State Key Lab Stem Cell & Reprod Biol, Beijing 100101, Peoples R China
[14] Beijing Inst Stem Cell & Regenerat Med, Beijing 100101, Peoples R China
基金
北京市自然科学基金; 中国国家自然科学基金;
关键词
SYSTEM;
D O I
10.1093/nar/gkae1102
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The immune system is intricately interconnected with all other bodily systems. As individuals age, the immune system undergoes changes known as immunosenescence, increasing susceptibility to disease, and contributing significantly to the morbidity and mortality observed in older populations. Immunosenescence drives systemic aging and therefore represents a key therapeutic target to extend healthy aging. In recent years, the extensive application of omics technologies has broadened our understanding of aging and immunity, necessitating a comprehensive database to encapsulate these advancements and deepen our insights into immune aging in the era of artificial intelligence. The Immunosenescence Inventory is a pioneering database designed to provide a multidimensional and integrative view of the aging immune system. By leveraging cutting-edge omics technologies and analytical tools, Immunosenescence Inventory offers a comprehensive resource for researchers to explore the intricate relationship between immunosenescence and age-related health outcomes. Furthermore, the database, which aids in the creation of diagnostic tools for immune aging conditions, is now publicly available at https://ngdc.cncb.ac.cn/iaa/home.
引用
收藏
页码:D1047 / D1054
页数:8
相关论文
共 50 条
  • [31] ZEAMAP, a Comprehensive Database Adapted to the Maize Multi-Omics Era
    Gui, Songtao
    Yang, Linfeng
    Li, Jianbo
    Luo, Jingyun
    Xu, Xiaokai
    Yuan, Jianyu
    Chen, Lu
    Li, Wenqiang
    Yang, Xin
    Wu, Shenshen
    Li, Shuyan
    Wang, Yuebin
    Zhu, Yabing
    Gao, Qiang
    Yang, Ning
    Yan, Jianbing
    ISCIENCE, 2020, 23 (06)
  • [32] MPOD: Applications of integrated multi-omics database for medicinal plants
    He, Simei
    Yang, Ling
    Ye, Shuang
    Lin, Yuan
    Li, Xiaobo
    Wang, Yina
    Chen, Geng
    Liu, Guanze
    Zhao, Ming
    Zhao, Xiu
    Wei, Kunhua
    Zhang, Guanghui
    Miao, Jianhua
    Dong, Yang
    Yang, Shengchao
    PLANT BIOTECHNOLOGY JOURNAL, 2022, 20 (05) : 797 - 799
  • [33] cfOmics: a cell-free multi-Omics database for diseases
    Li, Mingyang
    Zhou, Tianxiu
    Han, Mingfei
    Wang, Hongke
    Bao, Pengfei
    Tao, Yuhuan
    Chen, Xiaoqing
    Wu, Guansheng
    Liu, Tianyou
    Wang, Xiaojuan
    Lu, Qian
    Zhu, Yunping
    Lu, Zhi John
    NUCLEIC ACIDS RESEARCH, 2024, 52 (D1) : D607 - D621
  • [34] BGFD: an integrated multi-omics database of barley gene families
    Li, Tingting
    Bian, Jianxin
    Tang, Minqiang
    Shangguan, Hongbin
    Zeng, Yan
    Luo, Ruihan
    Sun, Huifan
    Ke, Qinglin
    Nie, Xiaojun
    Li, Yihan
    Cui, Licao
    BMC PLANT BIOLOGY, 2022, 22 (01)
  • [35] ANAgdb: a multi-omics and taxonomy database for ANA-grade
    Guo, Zhonglong
    Luo, Shaoxuan
    Wang, Qi
    Yang, Yixiang
    Bai, Yawen
    Wei, Junrong
    Wang, Dong
    Duan, Yifan
    Yang, Xiaozeng
    Yang, Yong
    BMC PLANT BIOLOGY, 2024, 24 (01):
  • [36] MaizeNetome: A multi-omics network database for functional genomics in maize
    Feng, Jia-Wu
    Han, Linqian
    Liu, Hao
    Xie, Wen-Zhao
    Liu, Hanmingzi
    Li, Lin
    Chen, Ling-Ling
    MOLECULAR PLANT, 2023, 16 (08) : 1229 - 1231
  • [37] CmirC update 2024: a multi-omics database for clustered miRNAs
    Ware, Akshay Pramod
    Satyamoorthy, Kapaettu
    Paul, Bobby
    FUNCTIONAL & INTEGRATIVE GENOMICS, 2024, 24 (04)
  • [38] iNetModels 2.0: an interactive visualization and database of multi-omics data
    Arif, Muhammad
    Zhang, Cheng
    Li, Xiangyu
    Gungor, Cem
    Cakmak, Bugra
    Arslanturk, Metin
    Tebani, Abdellah
    Ozcan, Berkay
    Subas, Oguzhan
    Zhou, Wenyu
    Piening, Brian
    Turkez, Hasan
    Fagerberg, Linn
    Price, Nathan
    Hood, Leroy
    Snyder, Michael
    Nielsen, Jens
    Uhlen, Mathias
    Mardinoglu, Adil
    NUCLEIC ACIDS RESEARCH, 2021, 49 (W1) : W271 - W276
  • [39] BjuIR: A multi-omics database with various tools for accelerating functional genomics research in Brassica juncea
    Zhang, Linna
    Xiao, Jinyuan
    Liang, Congyuan
    Chen, Yifan
    Yu, Changchun
    Zhao, Xinle
    Li, Jiawei
    Yan, Mingli
    Yang, Qian
    Chen, Hao
    Liu, Zhongsong
    Wan, Zhengjie
    Yang, Zhiquan
    Yang, Qing-Yong
    PLANT COMMUNICATIONS, 2024, 5 (08)
  • [40] The pear genomics database (PGDB): a comprehensive multi-omics research platform for Pyrus spp.
    Chen, Shulin
    Sun, Manyi
    Xu, Shaozhuo
    Xue, Cheng
    Wei, Shuwei
    Zheng, Pengfei
    Gu, Kaidi
    Qiao, Zhiwen
    Liu, Zhiying
    Zhang, Mingyue
    Wu, Jun
    BMC PLANT BIOLOGY, 2023, 23 (01)