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疾病演变过程中的微观蛋白质表达谱分析。

Microscale protein expression profiling during disease evolvement.

作者信息

Marko-Varga György A, Fehniger Thomas E

机构信息

Department of Biological Sciences, AstraZeneca R&D, Respiratory and Inflammation, S-221 87 Lund, Sweden.

出版信息

J Chromatogr A. 2004 Oct 22;1053(1-2):279-90. doi: 10.1016/j.chroma.2004.08.115.

DOI:10.1016/j.chroma.2004.08.115
PMID:15543994
Abstract

Advances in technology, such as laser capture microdissection (LCM), have allowed for the specific sampling of cells within their natural functional micro-environment. In model systems using LCM, we have studied the global protein expression profiles of airway epithelial cells during a response to allergen provocation. Bronchial epithelial cells were first identified and phenotyped histologically in snap frozen lung samples of experimentally sensitised mice. Consecutive thin sections of whole lung were then sampled using preparative LCM procedures. Lysates of the captured epithelium (7500 shots) or whole lung were prepared for two-dimensional gel electrophoretic separation and 1400 protein spots were annotated by image analysis. Protein identities were established by matching peptide masses detected using matrix-assisted laser desorption ionization time-of-flight MS as well as electrospray ionization MS-MS sequencing. Using the Mascot database of protein/peptide identities high significance scores in terms of sequence coverage (range 22-70%) and number of peptides (range 7-22 peptides/protein) were obtained for approximately 500 proteins, with examples listed in Table 1. In quantitative terms, the LCM procedure allows the statistical sampling of singular populations of cells distributed throughout tissues and organs. The absolute number of cells required for "entry level" measurements of protein profiles will vary over an order of magnitude depending on the physical size and frequency of the cells being studied within each biological compartment as well as the dynamic range of the proteins being measured, and the absolute limits of detection within the technologies being employed.

摘要

技术的进步,如激光捕获显微切割技术(LCM),使得在细胞自然功能微环境中对细胞进行特定采样成为可能。在使用LCM的模型系统中,我们研究了变应原激发反应期间气道上皮细胞的整体蛋白质表达谱。首先在实验致敏小鼠的速冻肺样本中通过组织学方法鉴定支气管上皮细胞并对其进行表型分析。然后使用制备性LCM程序对整个肺的连续薄片进行采样。将捕获的上皮细胞(7500次捕获)或整个肺的裂解物制备用于二维凝胶电泳分离,并通过图像分析对1400个蛋白质斑点进行注释。通过匹配使用基质辅助激光解吸电离飞行时间质谱以及电喷雾电离串联质谱测序检测到的肽质量来确定蛋白质身份。使用蛋白质/肽身份的Mascot数据库,对于大约500种蛋白质获得了序列覆盖率(范围为22 - 70%)和肽数量(范围为7 - 22个肽/蛋白质)方面的高显著性分数,表1中列出了示例。从数量上来说,LCM程序允许对分布在整个组织和器官中的单个细胞群体进行统计采样。蛋白质谱“入门级”测量所需的细胞绝对数量将根据每个生物区室中所研究细胞的物理大小和频率、所测量蛋白质的动态范围以及所采用技术的绝对检测限在一个数量级范围内变化。

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引用本文的文献

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