• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

空间转录组学鉴定硬皮病皮肤损伤的细胞和分子特征:青少年硬皮病的初步研究。

Spatial Transcriptomics Identifies Cellular and Molecular Characteristics of Scleroderma Skin Lesions: Pilot Study in Juvenile Scleroderma.

机构信息

Department of Pediatrics, University of Pittsburgh School of Medicine, UPMC Children's Hospital of Pittsburgh, 4401 Penn Ave., Pittsburgh, PA 15224, USA.

School of Medicine, Tsinghua University, Beijing 100084, China.

出版信息

Int J Mol Sci. 2024 Aug 23;25(17):9182. doi: 10.3390/ijms25179182.

DOI:10.3390/ijms25179182
PMID:39273131
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11395166/
Abstract

Juvenile localized and systemic scleroderma are rare autoimmune diseases which cause significant disability and morbidity in children. The mechanisms driving juvenile scleroderma remain unclear, necessitating further cellular and molecular level studies. The Visium CytAssist spatial transcriptomics (ST) platform, which preserves the spatial location of cells and simultaneously sequences the whole transcriptome, was employed to profile the histopathological slides from skin lesions of juvenile scleroderma patients. (1) Spatial domains were identified from ST data and exhibited strong concordance with the pathologist's annotations of anatomical structures. (2) The integration of paired ST data and single-cell RNA sequencing (scRNA-seq) from the same patients validated the comparable accuracy of the two platforms and facilitated the estimation of cell type composition in ST data. (3) The pathologist-annotated immune infiltrates, such as perivascular immune infiltrates, were clearly delineated by the ST analysis, underscoring the biological relevance of the findings. This is the first study utilizing spatial transcriptomics to investigate skin lesions in juvenile scleroderma patients. The validity of the ST data was corroborated by gene expression analyses and the pathologist's assessments. Integration with scRNA-seq data facilitated the cell type-level analysis and validation. Analyses of immune infiltrates through combined ST data and pathological review enhances our understanding of the pathogenesis of juvenile scleroderma.

摘要

局限性和系统性幼年特发性关节炎是罕见的自身免疫性疾病,可导致儿童发生严重残疾和发病。导致幼年特发性关节炎的机制尚不清楚,需要进一步进行细胞和分子水平的研究。Visium CytAssist 空间转录组学(ST)平台可保留细胞的空间位置,同时对整个转录组进行测序,用于对幼年特发性关节炎患者皮肤损伤的组织病理学切片进行分析。(1)从 ST 数据中确定空间域,并与病理学家对解剖结构的注释具有很强的一致性。(2)来自同一患者的配对 ST 数据和单细胞 RNA 测序(scRNA-seq)的整合验证了两种平台具有可比的准确性,并有助于估计 ST 数据中的细胞类型组成。(3)由 ST 分析清楚地区分了病理学家注释的免疫浸润,如血管周围免疫浸润,突出了这些发现的生物学相关性。这是第一项利用空间转录组学研究幼年特发性关节炎患者皮肤损伤的研究。ST 数据的有效性通过基因表达分析和病理学家的评估得到了证实。与 scRNA-seq 数据的整合促进了细胞类型水平的分析和验证。通过联合 ST 数据和病理审查进行免疫浸润分析,增强了我们对幼年特发性关节炎发病机制的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffe3/11395166/56acbcd8d21f/ijms-25-09182-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffe3/11395166/2ddb750f2752/ijms-25-09182-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffe3/11395166/2c20a2ef1128/ijms-25-09182-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffe3/11395166/79eef52e4a60/ijms-25-09182-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffe3/11395166/233c87171714/ijms-25-09182-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffe3/11395166/51dce365683a/ijms-25-09182-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffe3/11395166/56acbcd8d21f/ijms-25-09182-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffe3/11395166/2ddb750f2752/ijms-25-09182-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffe3/11395166/2c20a2ef1128/ijms-25-09182-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffe3/11395166/79eef52e4a60/ijms-25-09182-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffe3/11395166/233c87171714/ijms-25-09182-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffe3/11395166/51dce365683a/ijms-25-09182-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffe3/11395166/56acbcd8d21f/ijms-25-09182-g006.jpg

相似文献

1
Spatial Transcriptomics Identifies Cellular and Molecular Characteristics of Scleroderma Skin Lesions: Pilot Study in Juvenile Scleroderma.空间转录组学鉴定硬皮病皮肤损伤的细胞和分子特征:青少年硬皮病的初步研究。
Int J Mol Sci. 2024 Aug 23;25(17):9182. doi: 10.3390/ijms25179182.
2
Characterization of Endothelial Cell Subclusters in Localized Scleroderma Skin with Single-Cell RNA Sequencing Identifies NOTCH Signaling Pathway.单细胞 RNA 测序对局限性硬皮病皮肤中内皮细胞亚群的特征分析显示 NOTCH 信号通路。
Int J Mol Sci. 2024 Sep 28;25(19):10473. doi: 10.3390/ijms251910473.
3
Transcriptomic Evaluation of Juvenile Localized Scleroderma Skin With Histologic and Clinical Correlation.组织学与临床相关性评价儿童局限性硬皮病皮肤的转录组学研究。
Arthritis Rheumatol. 2021 Oct;73(10):1921-1930. doi: 10.1002/art.41758. Epub 2021 Aug 31.
4
Juvenile Scleroderma-What has Changed in the Meantime?青少年硬皮病——在此期间有哪些变化?
Curr Rheumatol Rev. 2018;14(3):219-225. doi: 10.2174/1573397114666180423105056.
5
Single-Cell Transcriptome Analysis Identifies Subclusters with Inflammatory Fibroblast Responses in Localized Scleroderma.单细胞转录组分析鉴定局限性硬皮病中具有炎症性成纤维细胞反应的亚群。
Int J Mol Sci. 2023 Jun 6;24(12):9796. doi: 10.3390/ijms24129796.
6
Mucin deposits in morphea and systemic scleroderma.硬斑病和系统性硬化症中的黏蛋白沉积。
Dermatology. 1994;189(2):157-8. doi: 10.1159/000246821.
7
Cellular infiltrates in scleroderma skin.硬皮病皮肤中的细胞浸润。
Arthritis Rheum. 1977 May;20(4):975-84. doi: 10.1002/art.1780200410.
8
Clinicohistopathological correlations in juvenile localized scleroderma: studies on a subset of children with hypopigmented juvenile localized scleroderma due to loss of epidermal melanocytes.儿童型局限性硬皮病的临床组织病理相关性:一组由于表皮黑素细胞丧失而出现色素减退性儿童型局限性硬皮病患儿的研究。
J Am Acad Dermatol. 2011 Aug;65(2):364-373. doi: 10.1016/j.jaad.2010.02.065. Epub 2011 May 12.
9
[Systemic sclerosis and scleroderma circumscripta--disturbances of selected serum parameters which are responsible for vascular changes and CD34 expression in involved skin].[系统性硬化症和局限性硬皮病——参与皮肤中负责血管变化和CD34表达的特定血清参数紊乱]
Przegl Lek. 2009;66(12):1040-5.
10
Computational solutions for spatial transcriptomics.空间转录组学的计算解决方案。
Comput Struct Biotechnol J. 2022 Sep 1;20:4870-4884. doi: 10.1016/j.csbj.2022.08.043. eCollection 2022.

引用本文的文献

1
CAR T cell therapy for children with rheumatic disease: the time is now.用于治疗风湿性疾病患儿的嵌合抗原受体T细胞疗法:时机已至。
Nat Rev Rheumatol. 2025 Jul 2. doi: 10.1038/s41584-025-01272-3.
2
Unique and shared transcriptomic signatures underlying localized scleroderma pathogenesis identified using interpretable machine learning.利用可解释机器学习识别局限性硬皮病发病机制背后独特且共享的转录组特征。
JCI Insight. 2025 Apr 8;10(7):e185758. doi: 10.1172/jci.insight.185758.

本文引用的文献

1
Multiscale topology classifies cells in subcellular spatial transcriptomics.多尺度拓扑在亚细胞空间转录组学中对细胞进行分类。
Nature. 2024 Jun;630(8018):943-949. doi: 10.1038/s41586-024-07563-1. Epub 2024 Jun 19.
2
Innovative super-resolution in spatial transcriptomics: a transformer model exploiting histology images and spatial gene expression.空间转录组学中的创新超分辨率:一种利用组织学图像和空间基因表达的Transformer模型。
Brief Bioinform. 2024 Jan 22;25(2). doi: 10.1093/bib/bbae052.
3
TISSUE: uncertainty-calibrated prediction of single-cell spatial transcriptomics improves downstream analyses.
组织:单细胞空间转录组学不确定性校准预测提高下游分析。
Nat Methods. 2024 Mar;21(3):444-454. doi: 10.1038/s41592-024-02184-y. Epub 2024 Feb 12.
4
Niche-DE: niche-differential gene expression analysis in spatial transcriptomics data identifies context-dependent cell-cell interactions.Niche-DE:空间转录组学数据中的生态位差异基因表达分析确定了依赖于上下文的细胞-细胞相互作用。
Genome Biol. 2024 Jan 12;25(1):14. doi: 10.1186/s13059-023-03159-6.
5
Inferring super-resolution tissue architecture by integrating spatial transcriptomics with histology.通过将空间转录组学与组织学相结合来推断超分辨率组织结构。
Nat Biotechnol. 2024 Sep;42(9):1372-1377. doi: 10.1038/s41587-023-02019-9. Epub 2024 Jan 2.
6
High resolution mapping of the tumor microenvironment using integrated single-cell, spatial and in situ analysis.利用集成的单细胞、空间和原位分析技术对肿瘤微环境进行高分辨率图谱绘制。
Nat Commun. 2023 Dec 19;14(1):8353. doi: 10.1038/s41467-023-43458-x.
7
Single-Cell Transcriptome Analysis Identifies Subclusters with Inflammatory Fibroblast Responses in Localized Scleroderma.单细胞转录组分析鉴定局限性硬皮病中具有炎症性成纤维细胞反应的亚群。
Int J Mol Sci. 2023 Jun 6;24(12):9796. doi: 10.3390/ijms24129796.
8
Spatial transcriptomics combined with single-cell RNA-sequencing unravels the complex inflammatory cell network in atopic dermatitis.空间转录组学联合单细胞 RNA 测序揭示特应性皮炎中的复杂炎症细胞网络。
Allergy. 2023 Aug;78(8):2215-2231. doi: 10.1111/all.15781. Epub 2023 Jun 14.
9
Spatial transcriptomics stratifies psoriatic disease severity by emergent cellular ecosystems.空间转录组学通过新兴的细胞生态系统对银屑病疾病严重程度进行分层。
Sci Immunol. 2023 Jun 8;8(84):eabq7991. doi: 10.1126/sciimmunol.abq7991. Epub 2023 Jun 2.
10
Spatial transcriptomics landscape of lesions from non-communicable inflammatory skin diseases.非传染性炎症性皮肤疾病病灶的空间转录组学图谱
Nat Commun. 2022 Dec 13;13(1):7729. doi: 10.1038/s41467-022-35319-w.