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分析复杂的口腔蛋白质样本:唾液薄膜的完整工作流程及案例分析

Analysing Complex Oral Protein Samples: Complete Workflow and Case Analysis of Salivary Pellicles.

作者信息

Wei Chen-Xuan, Burrow Michael Francis, Botelho Michael George, Leung W Keung

机构信息

Faculty of Dentistry, The University of Hong Kong, Hong Kong, China.

School of Dentistry, University of Michigan, Ann Arbor, MI 48104, USA.

出版信息

J Clin Med. 2021 Jun 25;10(13):2801. doi: 10.3390/jcm10132801.

Abstract

Studies on small quantity, highly complex protein samples, such as salivary pellicle, have been enabled by recent major technological and analytical breakthroughs. Advances in mass spectrometry-based computational proteomics such as Multidimensional Protein Identification Technology have allowed precise identification and quantification of complex protein samples on a proteome-wide scale, which has enabled the determination of corresponding genes and cellular functions at the protein level. The latter was achieved via protein-protein interaction mapping with Gene Ontology annotation. In recent years, the application of these technologies has broken various barriers in small-quantity-complex-protein research such as salivary pellicle. This review provides a concise summary of contemporary proteomic techniques contributing to (1) increased complex protein (up to hundreds) identification using minute sample sizes (µg level), (2) precise protein quantification by advanced stable isotope labelling or label-free approaches and (3) the emerging concepts and techniques regarding computational integration, such as the Gene Ontology Consortium and protein-protein interaction mapping. The latter integrates the structural, genomic, and biological context of proteins and genes to predict protein interactions and functional connections in a given biological context. The same technological breakthroughs and computational integration concepts can also be applied to other low-volume oral protein complexes such as gingival crevicular or peri-implant sulcular fluids.

摘要

近期重大的技术和分析突破使得针对少量、高度复杂的蛋白质样本(如唾液薄膜)的研究成为可能。基于质谱的计算蛋白质组学的进展,如多维蛋白质鉴定技术,已能在蛋白质组范围内对复杂蛋白质样本进行精确鉴定和定量,从而能够在蛋白质水平确定相应的基因和细胞功能。后者是通过与基因本体注释的蛋白质 - 蛋白质相互作用图谱实现的。近年来,这些技术的应用打破了唾液薄膜等少量复杂蛋白质研究中的各种障碍。本综述简要总结了当代蛋白质组学技术,这些技术有助于:(1)使用微量样本量(微克水平)增加复杂蛋白质(多达数百种)的鉴定;(2)通过先进的稳定同位素标记或无标记方法进行精确的蛋白质定量;(3)关于计算整合的新兴概念和技术,如基因本体联盟和蛋白质 - 蛋白质相互作用图谱。后者整合了蛋白质和基因的结构、基因组及生物学背景,以预测给定生物学背景下的蛋白质相互作用和功能联系。同样的技术突破和计算整合概念也可应用于其他低容量口腔蛋白质复合物,如龈沟液或种植体周围龈沟液。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/836c/8267628/489cd6b0eb0e/jcm-10-02801-g001.jpg

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