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Lipid Diversity in Cells and Tissue Using Imaging SIMS.
Annual Review of Analytical Chemistry ( IF 5.9 ) Pub Date : 2020-06-12 , DOI: 10.1146/annurev-anchem-091619-103512
Sanna Sämfors 1, 2 , John S Fletcher 1
Affiliation  

Lipids are an important class of biomolecules with many roles within cells and tissue. As targets for study, they present several challenges. They are difficult to label, as many labels lack the specificity to the many different lipid species or the labels maybe larger than the lipids themselves, thus severely perturbing the natural chemical environment. Mass spectrometry provides exceptional specificity and is often used to examine lipid extracts from different samples. However, spatial information is lost during extraction. Of the different imaging mass spectrometry methods available, secondary ion mass spectrometry (SIMS) is unique in its ability to analyze very small features, with probe sizes <50 nm available. It also offers high surface sensitivity and 3D imaging capability on a subcellular scale. This article reviews the current capabilities and some remaining challenges associated with imaging the diverse lipids present in cell and tissue samples. We show how the technique has moved beyond show-and-tell, proof-of-principle analysis and is now being used to address real biological challenges. These include imaging the microenvironment of cancer tumors, probing the pathophysiology of traumatic brain injury, or tracking the lipid composition through bacterial membranes.

中文翻译:


使用成像SIMS在细胞和组织中的脂质多样性。

脂质是一类重要的生物分子,在细胞和组织中具有多种作用。作为研究的目标,他们提出了一些挑战。它们很难标记,因为许多标记缺乏对许多不同脂质种类的特异性,或者标记可能比脂质本身更大,因此严重干扰了自然化学环境。质谱具有出色的特异性,通常用于检查来自不同样品的脂质提取物。但是,在提取过程中会丢失空间信息。在可用的不同成像质谱方法中,二次离子质谱(SIMS)具有分析非常小的特征的独特能力,可用的探针尺寸小于50 nm。它还在亚细胞规模上提供高表面灵敏度和3D成像功能。本文回顾了与对细胞和组织样品中存在的各种脂质进行成像相关的当前功能和一些尚待解决的挑战。我们将展示该技术如何超越展示和原则证明分析,并且现在已用于解决实际的生物学挑战。这些措施包括对癌症肿瘤的微环境进行成像,探查创伤性脑损伤的病理生理学或通过细菌膜追踪脂质组成。

更新日期:2020-06-12
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