Single-cell chromatin accessibility and transcriptomic characterization of Behcet’s disease

被引:0
|
作者
Wen Shi
Jinguo Ye
Zhuoxing Shi
Caineng Pan
Qikai Zhang
Yuheng Lin
Dan Liang
Yizhi Liu
Xianchai Lin
Yingfeng Zheng
机构
[1] Sun Yat-sen University,State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center
[2] Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science,Research Unit of Ocular Development and Regeneration
[3] Chinese Academy of Medical Sciences,undefined
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Behect’s disease is a chronic vasculitis characterized by complex multi-organ immune aberrations. However, a comprehensive understanding of the gene-regulatory profile of peripheral autoimmunity and the diverse immune responses across distinct cell types in Behcet’s disease (BD) is still lacking. Here, we present a multi-omic single-cell study of 424,817 cells in BD patients and non-BD individuals. This study maps chromatin accessibility and gene expression in the same biological samples, unraveling vast cellular heterogeneity. We identify widespread cell-type-specific, disease-associated active and pro-inflammatory immunity in both transcript and epigenomic aspects. Notably, integrative multi-omic analysis reveals putative TF regulators that might contribute to chromatin accessibility and gene expression in BD. Moreover, we predicted gene-regulatory networks within nominated TF activators, including AP-1, NF-kB, and ETS transcript factor families, which may regulate cellular interaction and govern inflammation. Our study illustrates the epigenetic and transcriptional landscape in BD peripheral blood and expands understanding of potential epigenomic immunopathology in this disease.
引用
收藏
相关论文
共 50 条
  • [41] Dynamics and regulation of mitotic chromatin accessibility bookmarking at single-cell resolution
    Yu, Qiaoni
    Liu, Xu
    Fang, Jingwen
    Wu, Huihui
    Guo, Chuang
    Zhang, Wen
    Liu, Nianping
    Jiang, Chen
    Sha, Qing
    Yuan, Xiao
    Wang, Zhikai
    Qu, Kun
    SCIENCE ADVANCES, 2023, 9 (04)
  • [42] Simple oligonucleotide-based multiplexing of single-cell chromatin accessibility
    Wang, Kaile
    Xiao, Zhenna
    Yan, Yun
    Ye, Rui
    Hu, Min
    Bai, Shanshan
    Sei, Emi
    Qiao, Yawei
    Chen, Hui
    Lim, Bora
    Lin, Steven H.
    Navin, Nicholas E.
    MOLECULAR CELL, 2021, 81 (20) : 4319 - +
  • [43] scAuto as a comprehensive framework for single-cell chromatin accessibility data analysis
    Gong M.
    Yu Y.
    Wang Z.
    Zhang J.
    Wang X.
    Fu C.
    Zhang Y.
    Wang X.
    Computers in Biology and Medicine, 2024, 171
  • [44] Single-cell transcriptomic characterization of a gastrulating human embryo
    Tyser, Richard C., V
    Mahammadov, Elmir
    Nakanoh, Shota
    Vallier, Ludovic
    Scialdone, Antonio
    Srinivas, Shankar
    NATURE, 2021, 600 (7888) : 285 - +
  • [45] Single-cell transcriptomic characterization of a gastrulating human embryo
    Richard C. V. Tyser
    Elmir Mahammadov
    Shota Nakanoh
    Ludovic Vallier
    Antonio Scialdone
    Shankar Srinivas
    Nature, 2021, 600 : 285 - 289
  • [46] Accurate Annotation for Differentiating and Imbalanced Cell Types in Single-Cell Chromatin Accessibility Data
    Jia, Yuhang
    Li, Siyu
    Jiang, Rui
    Chen, Shengquan
    IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2024, 21 (03) : 461 - 471
  • [47] Characterization of chromatin accessibility patterns in different mouse cell types using machine learning methods at single-cell resolution
    Xu, Yaochen
    Huang, FeiMing
    Guo, Wei
    Feng, KaiYan
    Zhu, Lin
    Zeng, Zhenbing
    Huang, Tao
    Cai, Yu-Dong
    FRONTIERS IN GENETICS, 2023, 14
  • [48] ASTER: accurately estimating the number of cell types in single-cell chromatin accessibility data
    Chen, Shengquan
    Wang, Rongxiang
    Long, Wenxin
    Jiang, Rui
    BIOINFORMATICS, 2023, 39 (01)
  • [49] On cholinergic regulation in Alzheimer's disease: transcriptomic analysis at the single-cell level
    Dubnov, Serafima
    Soreq, Hermona
    JOURNAL OF NEUROCHEMISTRY, 2022, 162 : 98 - 98
  • [50] ArchR is a scalable software package for integrative single-cell chromatin accessibility analysis
    Granja, Jeffrey M.
    Corces, M. Ryan
    Pierce, Sarah E.
    Bagdatli, S. Tansu
    Choudhry, Hani
    Chang, Howard Y.
    Greenleaf, William J.
    NATURE GENETICS, 2021, 53 (03) : 403 - +