Lipid Diversity in Cells and Tissue Using Imaging SIMS.

Sanna Sämfors, John S Fletcher
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引用次数: 23

Abstract

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.

细胞和组织脂质多样性成像SIMS。
脂质是一类重要的生物分子,在细胞和组织中起着许多作用。作为研究对象,它们提出了几个挑战。它们很难被标记,因为许多标签对许多不同的脂类缺乏特异性,或者标签可能比脂类本身大,从而严重扰乱了自然化学环境。质谱法提供了特殊的特异性,经常用于检查来自不同样品的脂质提取物。然而,在提取过程中空间信息丢失。在不同的成像质谱法中,二次离子质谱法(SIMS)在分析探针尺寸非常小的特征方面具有独特的能力
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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