Nanoneedles enable spatiotemporal lipidomics of living tissues

IF 38.1 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY
Chenlei Gu, Davide Alessandro Martella, Leor Ariel Rose, Nadia Rouatbi, Cong Wang, Alaa Zam, Valeria Caprettini, Magnus Jensen, Shiyue Liu, Cathleen Hagemann, Siham Memdouh, Andrea Serio, Vincenzo Abbate, Khuloud T. Al-Jamal, Maddy Parsons, Mads S. Bergholt, Paul M. Brennan, Assaf Zaritsky, Ciro Chiappini
{"title":"Nanoneedles enable spatiotemporal lipidomics of living tissues","authors":"Chenlei Gu, Davide Alessandro Martella, Leor Ariel Rose, Nadia Rouatbi, Cong Wang, Alaa Zam, Valeria Caprettini, Magnus Jensen, Shiyue Liu, Cathleen Hagemann, Siham Memdouh, Andrea Serio, Vincenzo Abbate, Khuloud T. Al-Jamal, Maddy Parsons, Mads S. Bergholt, Paul M. Brennan, Assaf Zaritsky, Ciro Chiappini","doi":"10.1038/s41565-025-01955-8","DOIUrl":null,"url":null,"abstract":"<p>Spatial biology provides high-content diagnostic information by mapping the molecular composition of tissues. However, traditional spatial biology approaches typically require non-living samples, limiting temporal analysis. Here, to address this limitation, we present a workflow using porous silicon nanoneedles to repeatedly collect biomolecules from live brain tissues and map lipid distribution through desorption electrospray ionization mass spectrometry imaging. This method preserves the integrity of the original tissue while replicating its spatial molecular profile on the nanoneedle substrate, accurately reflecting lipid distribution and tissue morphology. Machine learning analysis of 23 human glioma biopsies demonstrated that nanoneedle sampling enables the precise classification of disease states. Furthermore, a spatiotemporal analysis of mouse gliomas treated with temozolomide revealed time- and treatment-dependent variations in lipid composition. Our approach enables non-destructive spatiotemporal lipidomics, advancing molecular diagnostics for precision medicine.</p>","PeriodicalId":18915,"journal":{"name":"Nature nanotechnology","volume":"4 1","pages":""},"PeriodicalIF":38.1000,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature nanotechnology","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1038/s41565-025-01955-8","RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

Spatial biology provides high-content diagnostic information by mapping the molecular composition of tissues. However, traditional spatial biology approaches typically require non-living samples, limiting temporal analysis. Here, to address this limitation, we present a workflow using porous silicon nanoneedles to repeatedly collect biomolecules from live brain tissues and map lipid distribution through desorption electrospray ionization mass spectrometry imaging. This method preserves the integrity of the original tissue while replicating its spatial molecular profile on the nanoneedle substrate, accurately reflecting lipid distribution and tissue morphology. Machine learning analysis of 23 human glioma biopsies demonstrated that nanoneedle sampling enables the precise classification of disease states. Furthermore, a spatiotemporal analysis of mouse gliomas treated with temozolomide revealed time- and treatment-dependent variations in lipid composition. Our approach enables non-destructive spatiotemporal lipidomics, advancing molecular diagnostics for precision medicine.

Abstract Image

纳米针可以实现活组织的时空脂质组学
空间生物学通过绘制组织的分子组成来提供高含量的诊断信息。然而,传统的空间生物学方法通常需要非生物样本,限制了时间分析。在这里,为了解决这一限制,我们提出了一种使用多孔硅纳米针从活脑组织中反复收集生物分子的工作流程,并通过解吸电喷雾电离质谱成像绘制脂质分布。该方法保留了原始组织的完整性,同时在纳米针底物上复制了其空间分子轮廓,准确反映了脂质分布和组织形态。对23例人类胶质瘤活检的机器学习分析表明,纳米针取样能够精确分类疾病状态。此外,用替莫唑胺治疗的小鼠胶质瘤的时空分析揭示了脂质组成的时间和治疗依赖性变化。我们的方法实现了非破坏性的时空脂质组学,推进了精准医学的分子诊断。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Nature nanotechnology
Nature nanotechnology 工程技术-材料科学:综合
CiteScore
59.70
自引率
0.80%
发文量
196
审稿时长
4-8 weeks
期刊介绍: Nature Nanotechnology is a prestigious journal that publishes high-quality papers in various areas of nanoscience and nanotechnology. The journal focuses on the design, characterization, and production of structures, devices, and systems that manipulate and control materials at atomic, molecular, and macromolecular scales. It encompasses both bottom-up and top-down approaches, as well as their combinations. Furthermore, Nature Nanotechnology fosters the exchange of ideas among researchers from diverse disciplines such as chemistry, physics, material science, biomedical research, engineering, and more. It promotes collaboration at the forefront of this multidisciplinary field. The journal covers a wide range of topics, from fundamental research in physics, chemistry, and biology, including computational work and simulations, to the development of innovative devices and technologies for various industrial sectors such as information technology, medicine, manufacturing, high-performance materials, energy, and environmental technologies. It includes coverage of organic, inorganic, and hybrid materials.
×
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