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一种用于全层人类皮肤蛋白质组分析的优化方法。

An optimised method for the proteomic profiling of full thickness human skin.

作者信息

Bliss Emily, Heywood Wendy E, Benatti Malika, Sebire Neil J, Mills Kevin

机构信息

Centre for Translational Omics, UCL Institute of Child Health, 30 Guilford Street, London, WC1N 1EH UK.

Histopathology Department, Great Ormond Street Hospital, London, WC1N 3JH UK.

出版信息

Biol Proced Online. 2016 Jul 21;18:15. doi: 10.1186/s12575-016-0045-y. eCollection 2016.

Abstract

BACKGROUND

The skin is the largest organ of the human body and is the first line barrier defence against trauma, microbial infiltration and radiation. Skin diseases can be a result of multi-systemic disease or an isolated condition. Due to its proteolysis resistant properties there are relatively few human skin proteomic datasets published compared with other human organs or body fluids. Skin is a challenging tissue to analyse using traditional proteomic techniques due to its high lipid content, insolubility and extensive cross-linking of proteins. This can complicate the isolation and digestion of proteins for analysis using mass spectrometry techniques.

RESULTS

We have optimised a sample preparation procedure to improve solubilisation and mass spectral compatibility of full thickness skin samples. Using this technique, we were able to obtain data for the proteome profile of full thickness human skin using on-line two-dimensional liquid chromatography, followed by ultra-high definition label-free mass spectrometry analysis (UDMS(E)). We were able to identify in excess of 2000 proteins from a full thickness skin sample.

CONCLUSIONS

The adoption of on-line fractionation and optimised acquisition protocols utilising ion mobility separation (IMS) technology has significantly increased the scope for protein identifications ten-fold.

摘要

背景

皮肤是人体最大的器官,是抵御创伤、微生物入侵和辐射的第一道防线。皮肤疾病可能是多系统疾病的结果,也可能是一种孤立的病症。由于其抗蛋白水解特性,与其他人体器官或体液相比,已发表的人类皮肤蛋白质组数据集相对较少。由于皮肤脂质含量高、不溶性以及蛋白质广泛交联,使用传统蛋白质组学技术分析皮肤是一项具有挑战性的工作。这可能会使蛋白质的分离和消化变得复杂,从而难以使用质谱技术进行分析。

结果

我们优化了一种样品制备程序,以提高全层皮肤样品的溶解性和质谱兼容性。使用该技术,我们能够通过在线二维液相色谱,随后进行超高清无标记质谱分析(UDMS(E)),获得全层人类皮肤蛋白质组图谱的数据。我们能够从一个全层皮肤样品中鉴定出超过2000种蛋白质。

结论

采用利用离子淌度分离(IMS)技术的在线分级分离和优化采集方案,显著将蛋白质鉴定范围扩大了十倍。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95dc/4955162/d430b31e953a/12575_2016_45_Fig1_HTML.jpg

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