单细胞RNA测序揭示了人类输尿管瘢痕狭窄组织的细胞异质性和微环境重塑。

IF 4.1 2区 医学 Q2 IMMUNOLOGY
Journal of Inflammation Research Pub Date : 2025-09-15 eCollection Date: 2025-01-01 DOI:10.2147/JIR.S540340
Xiaobo Ding, Guoxiang Li, Yuehan Yang, Zhengyao Song, Xudong Shen, Bingbing Hou, Meng Zhang, Shifang Sang, Jian Dai, Jiankang Zhang, Zongyao Hao, Yang Chen, Chaozhao Liang
{"title":"单细胞RNA测序揭示了人类输尿管瘢痕狭窄组织的细胞异质性和微环境重塑。","authors":"Xiaobo Ding, Guoxiang Li, Yuehan Yang, Zhengyao Song, Xudong Shen, Bingbing Hou, Meng Zhang, Shifang Sang, Jian Dai, Jiankang Zhang, Zongyao Hao, Yang Chen, Chaozhao Liang","doi":"10.2147/JIR.S540340","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>This study aimed to construct a comprehensive single-cell transcriptomic atlas of human ureteral scar stricture tissue using single-cell RNA sequencing (scRNA-seq), to uncover cellular heterogeneity, subpopulation dynamics, and intercellular communication networks.</p><p><strong>Methods: </strong>Ureteral tissues were collected from three normal controls (CTR) and three patients with ureteral scar stricture (US). Single-cell suspensions were prepared using the MobiNova-100 platform and sequenced on the Illumina NovaSeq 6000 system. Data were analyzed using Seurat, Harmony, Monocle2 (for pseudotime trajectory analysis), CellChat (for cell-cell communication), and SCP (for GO/KEGG enrichment). Key findings were validated by multiplex immunofluorescence (IF) and immunohistochemistry (IHC).</p><p><strong>Results: </strong>Eleven major cell types were identified, including epithelial, stromal, endothelial, and immune cells, each comprising distinct subpopulations. Compared to CTR tissues, US tissues exhibited an increased proportion of S100A8<sup>+</sup> and MT1E<sup>+</sup> basal epithelial cells with pro-inflammatory characteristics. Fibroblasts displayed substantial heterogeneity, with expansion of inflammatory fibroblasts and smooth muscle cell subsets. Endothelial cells (ECs) showed upregulated inflammatory and antigen presentation pathways. Macrophages exhibited mixed M1/M2 polarization, with enrichment of APOE<sup>+</sup> and APOBEC3A<sup>+</sup> subsets. Additionally, Th17, Treg, and CD8<sup>+</sup> T cell populations were elevated. Cell-cell communication analysis revealed enhanced signaling among fibroblasts, ECs, and immune subsets, particularly via PERIOSTIN, collagen, and laminin pathways.</p><p><strong>Conclusion: </strong>This study presents the first high-resolution single-cell atlas of ureteral scar stricture tissue, revealing profound cellular heterogeneity and remodeling of the immune-stromal-epithelial landscape. The findings also highlight intensified intercellular communication within the fibrotic microenvironment, offering novel insights into disease pathogenesis and potential therapeutic targets.</p>","PeriodicalId":16107,"journal":{"name":"Journal of Inflammation Research","volume":"18 ","pages":"12749-12768"},"PeriodicalIF":4.1000,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12449274/pdf/","citationCount":"0","resultStr":"{\"title\":\"Single-Cell RNA Sequencing Reveals Cellular Heterogeneity and Microenvironmental Remodeling in Human Ureteral Scar Stricture Tissue.\",\"authors\":\"Xiaobo Ding, Guoxiang Li, Yuehan Yang, Zhengyao Song, Xudong Shen, Bingbing Hou, Meng Zhang, Shifang Sang, Jian Dai, Jiankang Zhang, Zongyao Hao, Yang Chen, Chaozhao Liang\",\"doi\":\"10.2147/JIR.S540340\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>This study aimed to construct a comprehensive single-cell transcriptomic atlas of human ureteral scar stricture tissue using single-cell RNA sequencing (scRNA-seq), to uncover cellular heterogeneity, subpopulation dynamics, and intercellular communication networks.</p><p><strong>Methods: </strong>Ureteral tissues were collected from three normal controls (CTR) and three patients with ureteral scar stricture (US). Single-cell suspensions were prepared using the MobiNova-100 platform and sequenced on the Illumina NovaSeq 6000 system. Data were analyzed using Seurat, Harmony, Monocle2 (for pseudotime trajectory analysis), CellChat (for cell-cell communication), and SCP (for GO/KEGG enrichment). Key findings were validated by multiplex immunofluorescence (IF) and immunohistochemistry (IHC).</p><p><strong>Results: </strong>Eleven major cell types were identified, including epithelial, stromal, endothelial, and immune cells, each comprising distinct subpopulations. Compared to CTR tissues, US tissues exhibited an increased proportion of S100A8<sup>+</sup> and MT1E<sup>+</sup> basal epithelial cells with pro-inflammatory characteristics. Fibroblasts displayed substantial heterogeneity, with expansion of inflammatory fibroblasts and smooth muscle cell subsets. Endothelial cells (ECs) showed upregulated inflammatory and antigen presentation pathways. Macrophages exhibited mixed M1/M2 polarization, with enrichment of APOE<sup>+</sup> and APOBEC3A<sup>+</sup> subsets. Additionally, Th17, Treg, and CD8<sup>+</sup> T cell populations were elevated. Cell-cell communication analysis revealed enhanced signaling among fibroblasts, ECs, and immune subsets, particularly via PERIOSTIN, collagen, and laminin pathways.</p><p><strong>Conclusion: </strong>This study presents the first high-resolution single-cell atlas of ureteral scar stricture tissue, revealing profound cellular heterogeneity and remodeling of the immune-stromal-epithelial landscape. The findings also highlight intensified intercellular communication within the fibrotic microenvironment, offering novel insights into disease pathogenesis and potential therapeutic targets.</p>\",\"PeriodicalId\":16107,\"journal\":{\"name\":\"Journal of Inflammation Research\",\"volume\":\"18 \",\"pages\":\"12749-12768\"},\"PeriodicalIF\":4.1000,\"publicationDate\":\"2025-09-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12449274/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Inflammation Research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2147/JIR.S540340\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"IMMUNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Inflammation Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/JIR.S540340","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"IMMUNOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

目的:本研究旨在利用单细胞RNA测序(scRNA-seq)技术构建人类输尿管瘢痕狭窄组织的单细胞转录组图谱,揭示细胞异质性、亚群动态和细胞间通讯网络。方法:取3例正常对照(CTR)和3例输尿管瘢痕狭窄(US)患者输尿管组织。使用MobiNova-100平台制备单细胞悬液,并在Illumina NovaSeq 6000系统上进行测序。数据分析使用Seurat、Harmony、Monocle2(用于伪时间轨迹分析)、CellChat(用于细胞间通信)和SCP(用于GO/KEGG富集)。多重免疫荧光(IF)和免疫组织化学(IHC)验证了关键发现。结果:鉴定了11种主要的细胞类型,包括上皮细胞、基质细胞、内皮细胞和免疫细胞,每种细胞都包含不同的亚群。与CTR组织相比,US组织中具有促炎特征的S100A8+和MT1E+基底上皮细胞比例增加。成纤维细胞表现出明显的异质性,炎症成纤维细胞和平滑肌细胞亚群扩增。内皮细胞(ECs)显示炎症和抗原递呈途径上调。巨噬细胞表现为M1/M2混合极化,APOE+和APOBEC3A+亚群富集。此外,Th17、Treg和CD8+ T细胞群升高。细胞间通讯分析显示,成纤维细胞、内皮细胞和免疫亚群之间的信号传导增强,特别是通过骨膜蛋白、胶原蛋白和层粘连蛋白途径。结论:本研究首次提供了输尿管瘢痕狭窄组织的高分辨率单细胞图谱,揭示了免疫-基质-上皮结构的深刻细胞异质性和重塑。研究结果还强调了纤维化微环境中细胞间通讯的加强,为疾病发病机制和潜在治疗靶点提供了新的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Single-Cell RNA Sequencing Reveals Cellular Heterogeneity and Microenvironmental Remodeling in Human Ureteral Scar Stricture Tissue.

Purpose: This study aimed to construct a comprehensive single-cell transcriptomic atlas of human ureteral scar stricture tissue using single-cell RNA sequencing (scRNA-seq), to uncover cellular heterogeneity, subpopulation dynamics, and intercellular communication networks.

Methods: Ureteral tissues were collected from three normal controls (CTR) and three patients with ureteral scar stricture (US). Single-cell suspensions were prepared using the MobiNova-100 platform and sequenced on the Illumina NovaSeq 6000 system. Data were analyzed using Seurat, Harmony, Monocle2 (for pseudotime trajectory analysis), CellChat (for cell-cell communication), and SCP (for GO/KEGG enrichment). Key findings were validated by multiplex immunofluorescence (IF) and immunohistochemistry (IHC).

Results: Eleven major cell types were identified, including epithelial, stromal, endothelial, and immune cells, each comprising distinct subpopulations. Compared to CTR tissues, US tissues exhibited an increased proportion of S100A8+ and MT1E+ basal epithelial cells with pro-inflammatory characteristics. Fibroblasts displayed substantial heterogeneity, with expansion of inflammatory fibroblasts and smooth muscle cell subsets. Endothelial cells (ECs) showed upregulated inflammatory and antigen presentation pathways. Macrophages exhibited mixed M1/M2 polarization, with enrichment of APOE+ and APOBEC3A+ subsets. Additionally, Th17, Treg, and CD8+ T cell populations were elevated. Cell-cell communication analysis revealed enhanced signaling among fibroblasts, ECs, and immune subsets, particularly via PERIOSTIN, collagen, and laminin pathways.

Conclusion: This study presents the first high-resolution single-cell atlas of ureteral scar stricture tissue, revealing profound cellular heterogeneity and remodeling of the immune-stromal-epithelial landscape. The findings also highlight intensified intercellular communication within the fibrotic microenvironment, offering novel insights into disease pathogenesis and potential therapeutic targets.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Inflammation Research
Journal of Inflammation Research Immunology and Microbiology-Immunology
CiteScore
6.10
自引率
2.20%
发文量
658
审稿时长
16 weeks
期刊介绍: An international, peer-reviewed, open access, online journal that welcomes laboratory and clinical findings on the molecular basis, cell biology and pharmacology of inflammation.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信