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使用重组产气荚膜梭菌溶素O观察尼曼-匹克C型成纤维细胞溶酶体中的胆固醇沉积。

Visualization of cholesterol deposits in lysosomes of Niemann-Pick type C fibroblasts using recombinant perfringolysin O.

作者信息

Kwiatkowska Katarzyna, Marszałek-Sadowska Ewelina, Traczyk Gabriela, Koprowski Piotr, Musielak Małgorzata, Lugowska Agnieszka, Kulma Magdalena, Grzelczyk Anna, Sobota Andrzej

机构信息

Department of Cell Biology, Nencki Institute of Experimental Biology, 3 Pasteur St,, 02-093 Warsaw, Poland.

出版信息

Orphanet J Rare Dis. 2014 Apr 28;9:64. doi: 10.1186/1750-1172-9-64.

Abstract

BACKGROUND

Niemann-Pick disease type C (NPC) is caused by defects in cholesterol efflux from lysosomes due to mutations of genes coding for NPC1 and NPC2 proteins. As a result, massive accumulation of unesterified cholesterol in late endosomes/lysosomes is observed. At the level of the organism these cholesterol metabolism disorders are manifested by progressive neurodegeneration and hepatosplenomegaly. Until now filipin staining of cholesterol deposits in cells has been widely used for NPC diagnostics. In this report we present an alternative method for cholesterol visualization and estimation using a cholesterol-binding bacterial toxin, perfringolysin O.

METHODS

To detect cholesterol deposits, a recombinant probe, perfringolysin O fused with glutathione S-transferase (GST-PFO) was prepared. GST-PFO followed by labeled antibodies or streptavidin was applied for immunofluorescence and immunoelectron microscopy to analyze cholesterol distribution in cells derived from NPC patients. The identity of GST-PFO-positive structures was revealed by a quantitative analysis of their colocalization with several organelle markers. Cellular ELISA using GST-PFO was developed to estimate the level of unesterified cholesterol in NPC cells.

RESULTS

GST-PFO recognized cholesterol with high sensitivity and selectivity, as demonstrated by a protein/lipid overlay assay and surface plasmon resonance analysis. When applied to stain NPC cells, GST-PFO decorated abundant deposits of cholesterol in intracellular vesicles that colocalized with filipin-positive structures. These cholesterol deposits were resistant to 0.05%-0.2% Triton X-100 used for cells permeabilization in the staining procedure. GST-PFO-stained organelles were identified as late endosomes/lysosomes based on their colocalization with LAMP-1 and lysobisphosphatidic acid. On the other hand, GST-PFO did not colocalize with markers of the Golgi apparatus, endoplasmic reticulum, peroxisomes or with actin filaments. Only negligible GST-PFO staining was seen in fibroblasts of healthy individuals. When applied to cellular ELISA, GST-PFO followed by anti-GST-peroxidase allowed a semiquantitative analysis of cholesterol level in cells of NPC patients. Binding of GST-PFO to NPC cells was nearly abolished after extraction of cholesterol with methyl-β-cyclodextrin.

CONCLUSIONS

Our data indicate that a recombinant protein GST-PFO can be used to detect cholesterol accumulated in NPC cells by immunofluorescence and cellular ELISA. GST-PFO can be a convenient and reliable probe for revealing cholesterol deposits in cells and can be useful in diagnostics of NPC disease.

摘要

背景

尼曼-匹克病C型(NPC)是由于编码NPC1和NPC2蛋白的基因突变导致溶酶体胆固醇流出缺陷所致。结果,观察到晚期内体/溶酶体中未酯化胆固醇大量蓄积。在生物体水平上,这些胆固醇代谢紊乱表现为进行性神经退行性变和肝脾肿大。到目前为止,细胞内胆固醇沉积物的荧光素染色已广泛用于NPC的诊断。在本报告中,我们提出了一种使用胆固醇结合细菌毒素——产气荚膜梭菌溶素O进行胆固醇可视化和评估的替代方法。

方法

为了检测胆固醇沉积物,制备了一种重组探针,即与谷胱甘肽S-转移酶融合的产气荚膜梭菌溶素O(GST-PFO)。将GST-PFO与标记抗体或链霉亲和素一起用于免疫荧光和免疫电子显微镜分析,以分析NPC患者来源细胞中的胆固醇分布。通过对其与几种细胞器标记物的共定位进行定量分析,揭示了GST-PFO阳性结构的身份。开发了使用GST-PFO的细胞ELISA来估计NPC细胞中未酯化胆固醇的水平。

结果

蛋白质/脂质覆盖分析和表面等离子体共振分析表明,GST-PFO对胆固醇具有高灵敏度和选择性识别能力。当应用于NPC细胞染色时,GST-PFO标记了细胞内囊泡中丰富的胆固醇沉积物,这些沉积物与荧光素阳性结构共定位。这些胆固醇沉积物对染色过程中用于细胞通透处理的0.05%-0.2% Triton X-100具有抗性。基于GST-PFO染色的细胞器与LAMP-1和溶血双磷脂酸的共定位,将其鉴定为晚期内体/溶酶体。另一方面,GST-PFO与高尔基体、内质网、过氧化物酶体标记物或肌动蛋白丝不共定位。在健康个体的成纤维细胞中仅观察到可忽略不计的GST-PFO染色。当应用于细胞ELISA时,GST-PFO与抗GST-过氧化物酶一起可对NPC患者细胞中的胆固醇水平进行半定量分析。用甲基-β-环糊精提取胆固醇后,GST-PFO与NPC细胞的结合几乎被消除。

结论

我们的数据表明,重组蛋白GST-PFO可用于通过免疫荧光和细胞ELISA检测NPC细胞中积累的胆固醇。GST-PFO可以是一种方便可靠的探针,用于揭示细胞中的胆固醇沉积物,并且可用于NPC疾病的诊断。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/687c/4005833/b56b4b47fcf8/1750-1172-9-64-1.jpg

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