Cross-species integration of single-cell RNA-seq resolved alveolar-epithelial transitional states in idiopathic pulmonary fibrosis

被引:14
|
作者
Huang, Kevin Y.
Petretto, Enrico [1 ]
机构
[1] Duke NUS Med Sch, Program Cardiovasc & Metab Disorders CVMD, Singapore, Singapore
关键词
alveolar epithelium; cell-state transition; dysregulated differentiation; idiopathic pulmonary fibrosis; sc-RNAseq; STEM-CELLS; CLINICAL-PRACTICE; NOTCH; SENESCENCE; EXPRESSION; GENE; MORPHOGENESIS; PIRFENIDONE; MOBILIZE; RENEWAL;
D O I
10.1152/ajplung.00594.2020
中图分类号
Q4 [生理学];
学科分类号
071003 ;
摘要
Single-cell transcriptomics analyses of the fibrotic lung uncovered two cell states critical to lung injury recovery in the alveolar epithelium-a reparative transitional cell state in the mouse and a disease-specific cell state (KRT5(-)/KRT17(+)) in human idiopathic pulmonary fibrosis (IPF). The murine transitional cell state lies between the differentiation from type 2 (AT2) to type 1 pneumocyte (AT1), and the human KRT5(-)/KRT17(+) cell state may arise from the dysregulation of this differentiation process. We review major findings of single-cell transcriptomics analyses of the fibrotic lung and reanalyzed data from seven single-cell RNA sequencing studies of human and murine models of IPF, focusing on the alveolar epithelium. Our comparative and cross-species single-cell transcriptomics analyses allowed us to further delineate the differentiation trajectories from AT2 to AT1 and AT2 to the KRT5(-)/KRT17(+) cell state. We observed AT1 cells in human IPF retain the transcriptional signature of the murine transitional cell state. Using pseudotime analysis, we recapitulated the differentiation trajectories from AT2 to AT1 and from AT2 to KRT5(-)/KRT17(+) cell state in multiple human IPF studies. We further delineated transcriptional programs underlying cell-state transitions and determined the molecular phenotypes at terminal differentiation. We hypothesize that in addition to the reactivation of developmental programs (SOX4, SOX9), senescence (TP63, SOX4) and the Notch pathway (HES1) are predicted to steer intermediate progenitors to the KRT5(-)/KRT17(+) cell state. Our analyses suggest that activation of SMAD3 later in the differentiation process may explain the fibrotic molecular phenotype typical of KRT5(-)/KRT17(+) cells.
引用
收藏
页码:L491 / L506
页数:16
相关论文
共 37 条
  • [1] Single Cell RNA-Seq Identifies Cell Subpopulations Contributing to Idiopathic Pulmonary Fibrosis in Humans
    Zhang, Tangjuan
    Hou, Zhichao
    Ding, Zheng
    Wang, Peng
    Pan, Xue
    Li, Xiangnan
    JOURNAL OF CELLULAR AND MOLECULAR MEDICINE, 2025, 29 (03)
  • [2] Single-cell RNA-seq reveals ectopic and aberrant lung-resident cell populations in idiopathic pulmonary fibrosis
    Adams, Taylor S.
    Schupp, Jonas C.
    Poli, Sergio
    Ayaub, Ehab A.
    Neumark, Nir
    Ahangari, Farida
    Chu, Sarah G.
    Raby, Benjamin A.
    DeTullis, Giuseppe
    Januszyk, Michael
    Duan, Qiaonan
    Arnett, Heather A.
    Siddiqui, Asim
    Washko, George R.
    Homer, Robert
    Yan, Xiting
    Rosas, Ivan O.
    Kaminski, Naftali
    SCIENCE ADVANCES, 2020, 6 (28)
  • [3] Deep Batch Integration and Denoise of Single-Cell RNA-Seq Data
    Qin, Lu
    Zhang, Guangya
    Zhang, Shaoqiang
    Chen, Yong
    ADVANCED SCIENCE, 2024, 11 (29)
  • [4] Integrative Single-Cell RNA-Seq and ATAC-Seq Analysis of Mouse Corneal Epithelial Cells
    Lu, Zhao-Jing
    Ye, Jin-Guo
    Wang, Dong-Liang
    Li, Meng-Ke
    Zhang, Qi-Kai
    Liu, Zhong
    Huang, Yan-Jing
    Pan, Cai-Neng
    Lin, Yu-Heng
    Shi, Zhuo-Xing
    Zheng, Ying-Feng
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2023, 64 (03)
  • [5] Epi-Impute: Single-Cell RNA-seq Imputation via Integration with Single-Cell ATAC-seq
    Raevskiy, Mikhail
    Yanvarev, Vladislav
    Jung, Sascha
    Del Sol, Antonio
    Medvedeva, Yulia A.
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2023, 24 (07)
  • [6] Cross-species single-cell RNA-seq analysis reveals disparate and conserved cardiac and extracardiac inflammatory responses upon heart injury
    Cortada, Eric
    Yao, Jun
    Xia, Yu
    Duendar, Friederike
    Zumbo, Paul
    Yang, Boris
    Rubio-Navarro, Alfonso
    Perder, Bjoern
    Qiu, Miaoyan
    Pettinato, Anthony M.
    Homan, Edwin A.
    Stoll, Lisa
    Betel, Doron
    Cao, Jingli
    Lo, James C.
    COMMUNICATIONS BIOLOGY, 2024, 7 (01)
  • [7] Reconstructing the Developmental Trajectories of Multiple Subtypes in Pulmonary Parenchymal Epithelial Cells by Single-Cell RNA-seq
    Huang, Yiwei
    Zheng, Yuansheng
    Yin, Jiacheng
    Lu, Tao
    Li, Ming
    Liang, Jiaqi
    Hu, Zhengyang
    Bi, Guoshu
    Zhan, Cheng
    Xue, Liang
    Jiang, Wei
    Wang, Qun
    FRONTIERS IN GENETICS, 2020, 11
  • [8] Single-cell RNA-seq recognized the initiator of epithelial ovarian cancer recurrence
    Kan, Tongtong
    Zhang, Shupeng
    Zhou, Shengtao
    Zhang, Ya
    Zhao, Yun
    Gao, Yinghua
    Zhang, Tao
    Gao, Feng
    Wang, Xin
    Zhao, Linjie
    Yang, Mengsu
    ONCOGENE, 2022, 41 (06) : 895 - 906
  • [9] Unravelling subclonal heterogeneity and aggressive disease states in TNBC through single-cell RNA-seq
    Karaayvaz, Mihriban
    Cristea, Simona
    Gillespie, Shawn M.
    Patel, Anoop P.
    Mylvaganam, Ravindra
    Luo, Christina C.
    Specht, Michelle C.
    Bernstein, Bradley E.
    Michor, Franziska
    Ellisen, Leif W.
    NATURE COMMUNICATIONS, 2018, 9
  • [10] The effect of data transformation on low-dimensional integration of single-cell RNA-seq
    Park, Youngjun
    Hauschild, Anne-Christin
    BMC BIOINFORMATICS, 2024, 25 (01)