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{"title":"Challenges in Spatial Metabolomics and Proteomics for Functional Tissue Unit and Single-Cell Resolution.","authors":"Kevin J Zemaitis, Ljiliana Paša-Tolić","doi":"10.1016/j.semnephrol.2025.151583","DOIUrl":null,"url":null,"abstract":"<p><p>In the last decade, advanced developments of mass spectrometry-based assays have made spatial measurements of hundreds of metabolites and thousands of proteins not only possible, but routine. The information obtained from such mass spectrometry imaging experiments traces metabolic events and helps decipher feedback loops across anatomical regions, connecting genetic and metabolic networks that define phenotypes. Herein we overview developments in the field over the past decade, highlighting several case studies demonstrating direct measurement of metabolites, proteins, and proteoforms from thinly sliced tissues at the level of functional tissue units, approaching single-cell levels. Much of this work is feasible due to multidisciplinary team science, and we offer brief perspectives on paths forward and the challenges that persist with adoption and application of these spatial omics techniques at the single-cell level on mammalian kidneys. Data analysis and reanalysis still pose issues that plague spatial omics, but many mass spectrometry imaging platforms are commercially available. With greater harmonization across platforms and rigorous quality control, greater adoption of these platforms will undoubtedly provide major insights in complex diseases. Semin Nephrol 36:x-xx © 20xx Elsevier Inc. All rights reserved.</p>","PeriodicalId":21756,"journal":{"name":"Seminars in nephrology","volume":" ","pages":"151583"},"PeriodicalIF":2.8000,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Seminars in nephrology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.semnephrol.2025.151583","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"UROLOGY & NEPHROLOGY","Score":null,"Total":0}
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Abstract
In the last decade, advanced developments of mass spectrometry-based assays have made spatial measurements of hundreds of metabolites and thousands of proteins not only possible, but routine. The information obtained from such mass spectrometry imaging experiments traces metabolic events and helps decipher feedback loops across anatomical regions, connecting genetic and metabolic networks that define phenotypes. Herein we overview developments in the field over the past decade, highlighting several case studies demonstrating direct measurement of metabolites, proteins, and proteoforms from thinly sliced tissues at the level of functional tissue units, approaching single-cell levels. Much of this work is feasible due to multidisciplinary team science, and we offer brief perspectives on paths forward and the challenges that persist with adoption and application of these spatial omics techniques at the single-cell level on mammalian kidneys. Data analysis and reanalysis still pose issues that plague spatial omics, but many mass spectrometry imaging platforms are commercially available. With greater harmonization across platforms and rigorous quality control, greater adoption of these platforms will undoubtedly provide major insights in complex diseases. Semin Nephrol 36:x-xx © 20xx Elsevier Inc. All rights reserved.
功能性组织单元和单细胞分辨率的空间代谢组学和蛋白质组学的挑战。
在过去的十年中,基于质谱分析的先进发展使得数百种代谢物和数千种蛋白质的空间测量不仅成为可能,而且成为常规。从这样的质谱成像实验中获得的信息追踪代谢事件,并帮助破译跨解剖区域的反馈回路,连接定义表型的遗传和代谢网络。在此,我们概述了过去十年来该领域的发展,重点介绍了几个案例研究,这些研究展示了在功能组织单位水平上直接测量薄切片组织中的代谢物、蛋白质和蛋白质形态,接近单细胞水平。由于多学科团队科学,这项工作的大部分是可行的,我们提供了关于在哺乳动物肾脏单细胞水平上采用和应用这些空间组学技术的前进道路和挑战的简要观点。数据分析和再分析仍然是困扰空间组学的问题,但许多质谱成像平台已经商业化。随着平台之间的更大协调和严格的质量控制,这些平台的更广泛采用无疑将为复杂疾病提供重要的见解。Semin Nephrol 36:x-xx©20xx Elsevier Inc.。版权所有。
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