Single-Cell Sequencing Combined with Transcriptome Sequencing to Explore the Molecular Mechanisms Related to Skin Photoaging

被引:0
|
作者
Hu, Xinru [1 ]
Du, Shuang [1 ]
Chen, Meng [1 ]
Yang, Hao [1 ]
He, Jia [1 ]
Zhang, Lei [1 ]
Tan, Bowen [1 ]
Wu, Tao [2 ]
Duan, Xi [1 ]
机构
[1] Affiliated Hosp, North Sichuan Med Coll, Dept Dermatovenereol, Nanchong, Sichuan, Peoples R China
[2] Affiliated Hosp, North Sichuan Med Coll, Dept Urol, Nanchong, Sichuan, Peoples R China
基金
中国国家自然科学基金;
关键词
skin photoaging; Atp2b1; Tspan13; Plekho2; immune cell infiltration; AMPK pathway; LONG NONCODING RNAS; INFLAMMATION;
D O I
10.2147/JIR.S496328
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Background: The aging of skin is a diversified biological phenomenon, influenced by a combination of genetic and environmental factors. However, the specific mechanism of skin photoaging is not yet completely elucidated. Methods: Gene expression profiles for photoaging patients were obtained from the Gene Expression Omnibus (GEO) collection. We conducted single-cell and intercellular communication investigations to identify potential gene sets. Predictive models were created using LASSO regression. The relationships between genes and immune cells were investigated using single sample gene set enrichment analysis (ssGSEA) and gene set variance analysis (GSVA). The molecular processes of important genes were studied using gene enrichment analysis. A miRNA network was created to look for target miRNAs connected with important genes, and transcriptional regulation analysis was used to identify related transcription factors. Finally, merging gene co-expression networks with drug prediction shows molecular pathways of photoaging and potential treatment targets. Furthermore, we validated the role of key genes, immune cell infiltration, and the Adenosine 5'-monophosphate (AMP)-activated protein kinase (AMPK) pathway in photoaging, which were identified through bioinformatics analysis, using in vivo reverse transcription quantitative PCR (RT-qPCR), immunofluorescence labeling, and Western blotting. Results: This study discovered three key genes, including Atp2b1, Plekho2, and Tspan13, which perform crucial functions in the photoaging process. Immune cell infiltration analysis showed increased M1 macrophages and CD4 memory T cells in the photoaging group. Further signaling pathway analysis indicated that these key genes are enriched in multiple immune and metabolic pathways. The significant roles of Atp2b1, Plekho2, Tspan13, M1 macrophages infiltration, CD4 memory T cells infiltration and the AMPK pathway in photoaging was validated in vivo. Conclusion: This research revealed the underlying molecular mechanisms of photoaging, indicating that key genes such as Atp2b1 and Tspan13 play crucial roles in the regulation of immune cell infiltration and metabolic pathways. These findings provide a new theory for the treatment of photoaging and provide prospective targets for the advancement of relevant drugs.
引用
收藏
页码:11137 / 11160
页数:24
相关论文
共 50 条
  • [31] Dissecting the human kidney allograft transcriptome: single-cell RNA sequencing
    Varma, Elly
    Luo, Xunrong
    Muthukumar, Thangamani
    CURRENT OPINION IN ORGAN TRANSPLANTATION, 2021, 26 (01) : 43 - 51
  • [32] Holo-Seq: single-cell sequencing of holo-transcriptome
    Xiao, Zhengyun
    Cheng, Guo
    Jiao, Yang
    Pan, Chen
    Li, Ran
    Jia, Danmei
    Zhu, Jing
    Wu, Chao
    Zheng, Min
    Jia, Junling
    GENOME BIOLOGY, 2018, 19
  • [33] Single-cell transcriptome sequencing reveals tumor heterogeneity in family neuroblastoma
    Zhang, Yunlong
    Ma, Yue
    Liu, Qingqing
    Du, Yifei
    Peng, Liang
    Zhou, Jianwu
    Zhao, Zhenzhen
    Li, Changchun
    Wang, Shan
    FRONTIERS IN IMMUNOLOGY, 2023, 14
  • [34] Holo-Seq: single-cell sequencing of holo-transcriptome
    Zhengyun Xiao
    Guo Cheng
    Yang Jiao
    Chen Pan
    Ran Li
    Danmei Jia
    Jing Zhu
    Chao Wu
    Min Zheng
    Junling Jia
    Genome Biology, 19
  • [35] Comparison of skin autoimmune diseases by single-cell RNA sequencing
    Wang, Y.
    Gellatly, K.
    Strassner, J.
    Essien, K.
    Ahmed, M.
    Murphy, R.
    Coffin-Schmitt, A.
    Fan, X.
    Ding, X.
    Frisoli, M.
    Kim, E.
    Abbas, Z.
    Derr, A.
    McDonel, P.
    Rashighi, M.
    Harris, J.
    Garber, M.
    JOURNAL OF INVESTIGATIVE DERMATOLOGY, 2020, 140 (07) : S10 - S10
  • [36] Single-cell spatial sequencing
    Ornob Alam
    Nature Genetics, 2021, 53 : 1119 - 1119
  • [37] Single-cell spatial sequencing
    Alam, Ornob
    NATURE GENETICS, 2021, 53 (08) : 1119 - 1119
  • [38] The promise of single-cell sequencing
    Eberwine, James
    Sul, Jai-Yoon
    Bartfai, Tamas
    Kim, Junhyong
    NATURE METHODS, 2014, 11 (01) : 25 - 27
  • [39] The promise of single-cell sequencing
    James Eberwine
    Jai-Yoon Sul
    Tamas Bartfai
    Junhyong Kim
    Nature Methods, 2014, 11 : 25 - 27
  • [40] Parallel single-cell sequencing
    Linda Koch
    Nature Reviews Genetics, 2016, 17 : 125 - 125