Suppr超能文献

质谱成像技术在成纤维细胞中的应用:前景与挑战。

Mass Spectrometry Imaging of Fibroblasts: Promise and Challenge.

机构信息

Bruker-MUSC Center of Excellence, Clinical Glycomics, Medical University of South Carolina, Charleston, SC, USA.

Department of Pathology and Laboratory Medicine, Medical University of South Carolina, Charleston, SC, USA.

出版信息

Expert Rev Proteomics. 2021 Jun;18(6):423-436. doi: 10.1080/14789450.2021.1941893. Epub 2021 Jul 24.

Abstract

INTRODUCTION

Fibroblasts maintain tissue and organ homeostasis through output of extracellular matrix that affects nearby cell signaling within the stroma. Altered fibroblast signaling contributes to many disease states and extracellular matrix secreted by fibroblasts has been used to stratify patient by outcome, recurrence, and therapeutic resistance. Recent advances in imaging mass spectrometry allow access to single cell fibroblasts and their ECM niche within clinically relevant tissue samples.

AREAS COVERED

We review biological and technical challenges as well as new solutions to proteomic access of fibroblast expression within the complex tissue microenvironment. Review topics cover conventional proteomic methods for single fibroblast analysis and current approaches to accessing single fibroblast proteomes by imaging mass spectrometry approaches. Strategies to target and evaluate the single cell stroma proteome on the basis of cell signaling are presented.

EXPERT OPINION

The promise of defining proteomic signatures from fibroblasts and their extracellular matrix niches is the discovery of new disease markers and the ability to refine therapeutic treatments. Several imaging mass spectrometry approaches exist to define the fibroblast in the setting of pathological changes from clinically acquired samples. Continued technology advances are needed to access and understand the stromal proteome and apply testing to the clinic.

摘要

简介

成纤维细胞通过分泌细胞外基质来维持组织和器官的内稳态,细胞外基质会影响基质中附近细胞的信号转导。成纤维细胞信号转导的改变会导致许多疾病状态,而成纤维细胞分泌的细胞外基质已被用于根据患者的预后、复发和治疗耐药性对其进行分层。成像质谱技术的最新进展使人们能够在临床相关的组织样本中获取单细胞成纤维细胞及其细胞外基质龛。

涵盖领域

我们回顾了在复杂的组织微环境中获取成纤维细胞表达的蛋白质组学的生物学和技术挑战,以及新的解决方案。综述内容涵盖了用于单细胞成纤维细胞分析的常规蛋白质组学方法,以及当前通过成像质谱方法获取单细胞成纤维细胞蛋白质组的方法。还提出了基于细胞信号转导的靶向和评估单细胞基质蛋白质组的策略。

专家意见

从成纤维细胞及其细胞外基质龛中定义蛋白质组特征的前景在于发现新的疾病标志物,并能够改进治疗方法。有几种成像质谱方法可用于从临床获得的样本中定义病理变化条件下的成纤维细胞。需要不断的技术进步来获取和理解基质蛋白质组,并将测试应用于临床。

相似文献

1
Mass Spectrometry Imaging of Fibroblasts: Promise and Challenge.
Expert Rev Proteomics. 2021 Jun;18(6):423-436. doi: 10.1080/14789450.2021.1941893. Epub 2021 Jul 24.
4
Defining the extracellular matrix using proteomics.
Int J Exp Pathol. 2013 Apr;94(2):75-92. doi: 10.1111/iep.12011. Epub 2013 Feb 19.
5
Advances in the proteomic profiling of the matrisome and adhesome.
Expert Rev Proteomics. 2021 Sep;18(9):781-794. doi: 10.1080/14789450.2021.1984885. Epub 2021 Nov 2.
6
Effects of the Extracellular Matrix on the Proteome of Primary Skin Fibroblasts.
Methods Mol Biol. 2019;1993:193-204. doi: 10.1007/978-1-4939-9473-1_15.
7
An overview of technologies for MS-based proteomics-centric multi-omics.
Expert Rev Proteomics. 2022 Mar;19(3):165-181. doi: 10.1080/14789450.2022.2070476. Epub 2022 May 2.
10
Uncovering Tumor-Stroma Inter-relationships Using MALDI Mass Spectrometry Imaging.
J Proteome Res. 2020 Oct 2;19(10):4093-4103. doi: 10.1021/acs.jproteome.0c00511. Epub 2020 Sep 16.

引用本文的文献

1
The Role of Fibroblasts in Skin Homeostasis and Repair.
Biomedicines. 2024 Jul 17;12(7):1586. doi: 10.3390/biomedicines12071586.

本文引用的文献

1
Single-cell analysis targeting the proteome.
Nat Rev Chem. 2020 Mar;4(3):143-158. doi: 10.1038/s41570-020-0162-7. Epub 2020 Feb 17.
2
Development and evaluation of matrix application techniques for high throughput mass spectrometry imaging of tissues in the clinic.
Clin Mass Spectrom. 2019 Jan 28;12:7-15. doi: 10.1016/j.clinms.2019.01.004. eCollection 2019 Apr.
3
Peak learning of mass spectrometry imaging data using artificial neural networks.
Nat Commun. 2021 Sep 20;12(1):5544. doi: 10.1038/s41467-021-25744-8.
6
Spatial Metabolomics and Imaging Mass Spectrometry in the Age of Artificial Intelligence.
Annu Rev Biomed Data Sci. 2020 Jul;3:61-87. doi: 10.1146/annurev-biodatasci-011420-031537. Epub 2020 Apr 13.
7
Imaging Mass Spectrometry and Lectin Analysis of N-Linked Glycans in Carbohydrate Antigen-Defined Pancreatic Cancer Tissues.
Mol Cell Proteomics. 2021;20:100012. doi: 10.1074/mcp.RA120.002256. Epub 2020 Dec 8.
8
Deep Learning-Based Annotation Transfer between Molecular Imaging Modalities: An Automated Workflow for Multimodal Data Integration.
Anal Chem. 2021 Feb 16;93(6):3061-3071. doi: 10.1021/acs.analchem.0c02726. Epub 2021 Feb 3.
9
Spatial N-glycomics of the human aortic valve in development and pediatric endstage congenital aortic valve stenosis.
J Mol Cell Cardiol. 2021 May;154:6-20. doi: 10.1016/j.yjmcc.2021.01.001. Epub 2021 Jan 29.
10
MSIWarp: A General Approach to Mass Alignment in Mass Spectrometry Imaging.
Anal Chem. 2020 Dec 15;92(24):16138-16148. doi: 10.1021/acs.analchem.0c03833. Epub 2020 Dec 2.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验