Integrated single-cell and spatial transcriptomics reveals heterogeneity of fibroblast and pivotal genes in psoriasis

被引:0
|
作者
Cong-cong He
Tian-cong Song
Rui-qun Qi
Xing-Hua Gao
机构
[1] The First Hospital of China Medical University and Key Laboratory of Immunodermatology,Department of Dermatology
[2] Ministry of Health and Ministry of Education,Department of Nuclear Medicine
[3] Shengjing Hospital of China Medical University,undefined
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Psoriasis, which is one of the most common skin diseases, involves an array of complex immune constituents including T cells, dendritic cells and monocytes. Particularly, the cytokine IL17A, primarily generated by TH17 cells, assumes a crucial function in the etiology of psoriasis. In this study, a comprehensive investigation utilizing bulk RNA analysis, single-cell RNA sequencing, and spatial transcriptomics was employed to elucidate the underlying mechanisms of psoriasis. Our study revealed that there is an overlap between the genes that are differentially expressed in psoriasis patients receiving three anti-IL17A monoclonal antibody drugs and the genes that are differentially expressed in lesion versus non-lesion samples in these patients. Further analysis using single-cell and spatial data from psoriasis samples confirmed the expression of hub genes that had low expressions in psoriasis tissue but were up-regulated after anti-IL17A treatments. These genes were found to be associated with the treatment effects of brodalumab and methotrexate, but not adalimumab, etanercept, and ustekinumab. Additionally, these genes were predominantly expressed in fibroblasts. In our study, fibroblasts were categorized into five clusters. Notably, hub genes exhibited predominant expression in cluster 3 fibroblasts, which were primarily engaged in the regulation of the extracellular matrix and were predominantly located in the reticular dermis. Subsequent analysis unveiled that cluster 3 fibroblasts also established communication with epithelial cells and monocytes via the ANGPTL-SDC4 ligand-receptor configuration, and their regulation was governed by the transcription factor TWIST1. Conversely, cluster 4 fibroblasts, responsible for vascular endothelial regulation, were predominantly distributed in the papillary dermis. Cluster 4 predominantly engaged in interactions with endothelial cells via MDK signals and was governed by the distinctive transcription factor, ERG. By means of an integrated analysis encompassing bulk transcriptomics, single-cell RNA sequencing, and spatial transcriptomics, we have discerned genes and clusters of fibroblasts that potentially contribute to the pathogenesis of psoriasis.
引用
收藏
相关论文
共 50 条
  • [41] Single-cell and spatial transcriptomics in endocrine research
    Matsumoto, Ryusaku
    Yamamoto, Takuya
    ENDOCRINE JOURNAL, 2024, 71 (02) : 101 - 118
  • [42] Single-cell transcriptomics to understand the cellular heterogeneity in toxicology
    Seon Hwa Kim
    Soo Young Cho
    Molecular & Cellular Toxicology, 2023, 19 : 223 - 228
  • [43] Single-cell transcriptomics to understand the cellular heterogeneity in toxicology
    Kim, Seon Hwa
    Cho, Soo Young
    MOLECULAR & CELLULAR TOXICOLOGY, 2023, 19 (02) : 223 - 228
  • [44] Single-cell transcriptomics of avian skin reveals evolutionarily ancient keratinocyte differentiation genes
    Lachner, J.
    Ehrlich, F.
    Wielscher, M.
    Farlik, M.
    Tschachler, E.
    Eckhart, L.
    JOURNAL OF INVESTIGATIVE DERMATOLOGY, 2021, 141 (10) : S166 - S166
  • [45] Single-Cell Transcriptomics Reveals Cellular Heterogeneity and Complex Cell-Cell Communication Networks in the Mouse Cornea
    Wu, Yueh-Feng
    Chang, Nai-Wen
    Chu, Li-An
    Liu, Hsin-Yu
    Zhou, Yu-Xian
    Pai, Yun-Lin
    Yu, Yu-Sheng
    Kuan, Chen-Hsiang
    Wu, Yu-Ching
    Lin, Sung-Jan
    Tan, Hsin-Yuan
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2023, 64 (13)
  • [46] Cross-species single-cell transcriptomics reveals neuronal similarities and heterogeneity in amniote pallium
    FuBaoQian Huang
    Kuo Liao
    YuNong Sun
    ZiHao Li
    YanRu Zhang
    PingFang Liao
    SiYuan Jiang
    ZhiYong Zhu
    DuoYuan Chen
    Ying Lei
    ShiPing Liu
    YouNing Lin
    ZhenKun Zhuang
    Zoological Research, 2025, 46 (01) : 193 - 208
  • [47] Single-Cell Transcriptomics Reveals the Molecular Anatomy of Sheep Hair Follicle Heterogeneity and Wool Curvature
    Wang, Shanhe
    Wu, Tianyi
    Sun, Jingyi
    Li, Yue
    Yuan, Zehu
    Sun, Wei
    FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY, 2021, 9
  • [48] Single-cell transcriptomics reveals unique stromal and metabolic heterogeneity in liver metastatic pancreatic cancer
    Singh, Rima
    Halbrook, Christopher
    CANCER RESEARCH, 2024, 84 (06)
  • [49] Cross-species single-cell transcriptomics reveals neuronal similarities and heterogeneity in amniote pallium
    Huang, Fu-Bao-Qian
    Liao, Kuo
    Sun, Yu-Nong
    Li, Zi-Hao
    Zhang, Yan-Ru
    Liao, Ping-Fang
    Jiang, Si-Yuan
    Zhu, Zhi-Yong
    Chen, Duo-Yuan
    Lei, Ying
    Liu, Shi-Ping
    Lin, You-Ning
    Zhuang, Zhen-Kun
    ZOOLOGICAL RESEARCH, 2025, 46 (01) : 193 - 208
  • [50] Single-cell transcriptomics reveals the multidimensional dynamic heterogeneity from primary to metastatic gastric cancer
    Zhang, Yunpeng
    Yang, Kuan
    Bai, Jing
    Chen, Jing
    Zhou, Wenzhe
    Li, Xia
    Hu, Congxue
    ISCIENCE, 2025, 28 (02)