Single-cell and transcriptome analysis reveals TAL cells in diabetic nephropathy

被引:0
|
作者
Chengyu Zhang
Han Li
Shixiang Wang
机构
[1] Capital Medical University,Department of Nephrology, Beijing Chao
来源
关键词
Biological markers; Diabetic nephropathy; Quasi-timing analysis; Single-cell analysis; TAL cells;
D O I
暂无
中图分类号
学科分类号
摘要
Diabetic nephropathy is a global public health concern with multifaceted pathogenesis, primarily involving hypertension. Excessive activation of AT1R has been strongly associated with hypertension onset and progression in diabetic nephropathy. This study aimed to conduct thick ascending limb cell single-cell and transcriptomic analysis in diabetic nephropathy, including screening for biological markers, cellular communication, and immune infiltration, to identify potential biomarkers and effective means for prevention and treatment. By using high-dimensional weighted gene co-expression network analysis, least absolute shrinkage and selection operator, machine learning, neural deconvolution, quasi-chronological analysis, non-negative matrix factorization clustering, and monocyte chemotactic protein-induced counter, we identified 7 potential thick ascending limb cell biomarkers for diabetic nephropathy and elucidated the bone morphogenetic protein pathway’s regulation of thick ascending limb cells through podocyte epithelial cells and podocyte cells. The study also highlighted the role of COBL, PPARGC1A, and THSD7A in non-negative matrix factorization clustering and their relationship with thick ascending limb cell immunity in diabetic nephropathy. Our findings provide new insights and avenues for managing diabetic nephropathy, ultimately alleviating the burden on patients and society.
引用
收藏
相关论文
共 50 条
  • [21] Single-cell transcriptome analysis reveals widespread monoallelic gene expression in individual rice mesophyll cells
    Han, Yingying
    Chu, Xiao
    Yu, Haopeng
    Ma, Ying-Ke
    Wang, Xiu-Jie
    Qian, Wenfeng
    Jiao, Yuling
    SCIENCE BULLETIN, 2017, 62 (19) : 1304 - 1314
  • [22] Single-cell transcriptome analysis reveals the effectiveness of cytokine priming irrespective of heterogeneity in mesenchymal stromal cells
    Wan, Zihao
    Chen, Yu-Fan
    Pan, Qi
    Wang, Yiwei
    Yuan, Shuai
    Chin, Hui Yen
    Wu, Hao-Hsiang
    Lin, Wei-Ting
    Cheng, Po-Yu
    Yang, Yun-Jung
    Wang, Yu-Fan
    Kumta, Shekhar Madhukar
    Lee, Chien-Wei
    Lee, Oscar Kuang-Sheng
    CYTOTHERAPY, 2023, 25 (11) : 1155 - 1166
  • [23] Ewing Sarcoma Single-cell Transcriptome Analysis Reveals Functionally Impaired Antigen-presenting Cells
    Visser, Lindy L.
    Bleijs, Margit
    Margaritis, Thanasis
    van de Wetering, Marc
    Holstege, Frank C. P.
    Clevers, Hans
    CANCER RESEARCH COMMUNICATIONS, 2023, 3 (10): : 2158 - 2169
  • [24] Single-cell transcriptome analysis reveals distinct cell populations in dorsal root ganglia and their potential roles in diabetic peripheral neuropathy
    Guo, Guojun
    Chen, Jing
    Shen, Qixiao
    Chen, Zhenbing
    PLOS ONE, 2024, 19 (07):
  • [25] Single-cell transcriptome analysis of the Akimba mouse retina reveals cell-type-specific insights into the pathobiology of diabetic retinopathy
    Inge Van Hove
    Lies De Groef
    Bram Boeckx
    Elodie Modave
    Tjing-Tjing Hu
    Karen Beets
    Isabelle Etienne
    Tine Van Bergen
    Diether Lambrechts
    Lieve Moons
    Jean H. M. Feyen
    Michaël Porcu
    Diabetologia, 2020, 63 : 2235 - 2248
  • [26] Single-cell transcriptome analysis of the Akimba mouse retina reveals cell-type-specific insights into the pathobiology of diabetic retinopathy
    Van Hove, Inge
    De Groef, Lies
    Boeckx, Bram
    Modave, Elodie
    Hu, Tjing-Tjing
    Beets, Karen
    Etienne, Isabelle
    Van Bergen, Tine
    Lambrechts, Diether
    Moons, Lieve
    Feyen, Jean H. M.
    Porcu, Michael
    DIABETOLOGIA, 2020, 63 (10) : 2235 - 2248
  • [27] Single-cell sequencing reveals the expression of immune-related genes in macrophages of diabetic nephropathy
    Shao, X.
    Liu, H.
    Yu, P.
    DIABETOLOGIA, 2023, 66 (SUPPL 1) : S454 - S454
  • [28] SINGLE-CELL TRANSCRIPTOME ANALYSIS REVEALS CELLULAR HIERARCHIES AND THERAPEUTIC VULNERABILITIES OF ETMR
    Beck, Alexander
    Gabler, Lisa
    Cruzeiro, Gustavo A. V.
    Lambo, Sander
    Englinger, Bernhard
    Shaw, McKenzie L.
    Hack, Olivia A.
    Liu, Ilon
    de Biagi Junior, Carlos A. O.
    Haase, Rebecca D.
    Klenner, Marbod
    Freidel, Pia
    Madlener, Sibylle
    Mayr, Lisa
    Senfter, Daniel
    Peyrl, Andreas
    Slavc, Irene
    Loetsch, Daniela
    Dorfer, Christian
    Haberler, Christine
    Pfister, Stefan M.
    Baird, Lissa
    Chi, Susan N.
    Alexandrescu, Sanda
    Gojo, Johannes
    Kool, Marcel
    Hovestadt, Volker
    Filbin, Mariella G.
    NEURO-ONCOLOGY, 2023, 25
  • [29] Single-cell transcriptome analysis reveals liver injury induced by glyphosate in mice
    Wu, Jiangpeng
    Sun, Xiuping
    Wu, Chunyi
    Hong, Xiaoping
    Xie, Lulin
    Shi, Zixu
    Zhao, Liang
    Du, Qingfeng
    Xiao, Wei
    Sun, Jichao
    Wang, Jigang
    CELLULAR & MOLECULAR BIOLOGY LETTERS, 2023, 28 (01)
  • [30] Comprehensive single-cell transcriptome analysis reveals heterogeneity in endometrioid adenocarcinoma tissues
    Hashimoto, Shinichi
    Tabuchi, Yuta
    Yurino, Hideaki
    Hirohashi, Yoshihiko
    Deshimaru, Shungo
    Asano, Takuya
    Mariya, Tasuku
    Oshima, Kenshiro
    Takamura, Yuzuru
    Ukita, Yoshiaki
    Ametani, Akio
    Kondo, Naoto
    Monma, Norikazu
    Takeda, Tadayuki
    Misu, Sadahiko
    Okayama, Toshitugu
    Ikeo, Kazuho
    Saito, Tsuyoshi
    Kaneko, Shuich
    Suzuki, Yutaka
    Hattori, Masahira
    Matsushima, Kouji
    Torigoe, Toshihiko
    SCIENTIFIC REPORTS, 2017, 7