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利用 NanoSIMS 探测细菌中海胆烷类脂的亚细胞定位。

Probing the subcellular localization of hopanoid lipids in bacteria using NanoSIMS.

机构信息

Division of Biology, California Institute of Technology, Pasadena, California, United States of America ; Howard Hughes Medical Institute, Pasadena, California, United States of America.

Division of Biology, California Institute of Technology, Pasadena, California, United States of America.

出版信息

PLoS One. 2014 Jan 7;9(1):e84455. doi: 10.1371/journal.pone.0084455. eCollection 2014.

Abstract

The organization of lipids within biological membranes is poorly understood. Some studies have suggested lipids group into microdomains within cells, but the evidence remains controversial due to non-native imaging techniques. A recently developed NanoSIMS technique indicated that sphingolipids group into microdomains within membranes of human fibroblast cells. We extended this NanoSIMS approach to study the localization of hopanoid lipids in bacterial cells by developing a stable isotope labeling method to directly detect subcellular localization of specific lipids in bacteria with ca. 60 nm resolution. Because of the relatively small size of bacterial cells and the relative abundance of hopanoid lipids in membranes, we employed a primary (2)H-label to maximize our limit of detection. This approach permitted the analysis of multiple stable isotope labels within the same sample, enabling visualization of subcellular lipid microdomains within different cell types using a secondary label to mark the growing end of the cell. Using this technique, we demonstrate subcellular localization of hopanoid lipids within alpha-proteobacterial and cyanobacterial cells. Further, we provide evidence of hopanoid lipid domains in between cells of the filamentous cyanobacterium Nostoc punctiforme. More broadly, our method provides a means to image lipid microdomains in a wide range of cell types and test hypotheses for their functions in membranes.

摘要

生物膜中脂质的组织方式还不太清楚。一些研究表明,脂质在细胞内聚集形成微区,但由于非天然的成像技术,这一证据仍存在争议。最近开发的 NanoSIMS 技术表明,神经酰胺脂质在人成纤维细胞的膜中聚集形成微区。我们通过开发一种稳定同位素标记方法,将这种 NanoSIMS 方法扩展到研究细菌细胞中藿烷类脂质的定位,该方法可以直接检测细菌中特定脂质的亚细胞定位,分辨率约为 60nm。由于细菌细胞相对较小,且膜中藿烷类脂质的相对丰度较高,我们采用了初级 (2)H 标记,以最大限度地提高检测限。这种方法允许在同一个样本中分析多个稳定同位素标记,从而可以使用二级标记来标记细胞的生长端,可视化不同细胞类型中亚细胞脂质微区。使用该技术,我们证明了 alpha-变形菌和蓝细菌细胞内藿烷类脂质的亚细胞定位。此外,我们还提供了丝状蓝细菌 Nostoc punctiforme 细胞间存在藿烷类脂质域的证据。更广泛地说,我们的方法为在广泛的细胞类型中成像脂质微区并测试它们在膜中的功能提供了一种手段。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b440/3883690/24f7d1cdbc22/pone.0084455.g001.jpg

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