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使用基质辅助激光解吸电离质谱成像结合定量蛋白质组学鉴定缺氧调节蛋白。

Identification of hypoxia-regulated proteins using MALDI-mass spectrometry imaging combined with quantitative proteomics.

作者信息

Djidja Marie-Claude, Chang Joan, Hadjiprocopis Andreas, Schmich Fabian, Sinclair John, Mršnik Martina, Schoof Erwin M, Barker Holly E, Linding Rune, Jørgensen Claus, Erler Janine T

机构信息

Hypoxia and Metastasis Team and ‡Cell Communications Team, Cancer Research U.K. Tumour Cell Signalling Unit, Division of Cancer Biology, The Institute of Cancer Research , London, United Kingdom.

出版信息

J Proteome Res. 2014 May 2;13(5):2297-313. doi: 10.1021/pr401056c. Epub 2014 Apr 24.

Abstract

Hypoxia is present in most solid tumors and is clinically correlated with increased metastasis and poor patient survival. While studies have demonstrated the role of hypoxia and hypoxia-regulated proteins in cancer progression, no attempts have been made to identify hypoxia-regulated proteins using quantitative proteomics combined with MALDI-mass spectrometry imaging (MALDI-MSI). Here we present a comprehensive hypoxic proteome study and are the first to investigate changes in situ using tumor samples. In vitro quantitative mass spectrometry analysis of the hypoxic proteome was performed on breast cancer cells using stable isotope labeling with amino acids in cell culture (SILAC). MS analyses were performed on laser-capture microdissected samples isolated from normoxic and hypoxic regions from tumors derived from the same cells used in vitro. MALDI-MSI was used in combination to investigate hypoxia-regulated protein localization within tumor sections. Here we identified more than 100 proteins, both novel and previously reported, that were associated with hypoxia. Several proteins were localized in hypoxic regions, as identified by MALDI-MSI. Visualization and data extrapolation methods for the in vitro SILAC data were also developed, and computational mapping of MALDI-MSI data to IHC results was applied for data validation. The results and limitations of the methodologies described are discussed.

摘要

大多数实体瘤中都存在缺氧情况,且在临床上与转移增加和患者生存率低相关。虽然已有研究证明缺氧及缺氧调节蛋白在癌症进展中的作用,但尚未有人尝试结合基质辅助激光解吸电离质谱成像(MALDI-MSI)利用定量蛋白质组学来鉴定缺氧调节蛋白。在此,我们开展了一项全面的缺氧蛋白质组研究,并且首次使用肿瘤样本对原位变化进行研究。利用细胞培养中氨基酸的稳定同位素标记(SILAC)对乳腺癌细胞进行缺氧蛋白质组的体外定量质谱分析。对从体外使用的相同细胞来源的肿瘤的常氧和缺氧区域分离的激光捕获显微切割样本进行质谱分析。结合使用MALDI-MSI来研究肿瘤切片内缺氧调节蛋白的定位。在此,我们鉴定出100多种与缺氧相关的蛋白质,包括新发现的和先前已报道的。通过MALDI-MSI鉴定,几种蛋白质定位于缺氧区域。还开发了体外SILAC数据的可视化和数据外推方法,并将MALDI-MSI数据与免疫组化结果的计算映射应用于数据验证。讨论了所描述方法的结果和局限性。

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