Mangé A, Bellet V, Tuaillon E, Van de Perre P, Solassol J
University of Montpellier I, Montpellier, France.
J Chromatogr B Analyt Technol Biomed Life Sci. 2008 Dec 15;876(2):252-6. doi: 10.1016/j.jchromb.2008.11.003. Epub 2008 Nov 7.
In-depth analysis of the milk proteome by mass spectrometry is challenged by the presence of few high-abundance proteins that interfere with the detection of lower-abundance proteins. Here, we evaluated the proteomic analysis of milk samples following a strong anion exchange fractionation procedure using denaturating conditions ensuring the disruption of protein-protein interactions. Crude whey or skim milk and their different resulting fractions were analyzed by protein chip array mass spectrometry. Using protein chip array mass spectrometry, several high-abundance proteins were localized in distinct fractions increasing the total number of unique peptides and proteins detected. This total number increased by about 20-30% by combining different chromatographic surface arrays used for capture. Reproducible results were obtained in human skim milk and whey; however this approach was not successful with milk fat globule membrane and required refinement. Hence, milk profiling by anion exchange fractionation combined to protein chip array mass spectrometry represents a promising tool to detect unknown low-abundance milk proteins that may ultimately prove useful as biomarkers of diseases transmitted by breastfeeding.
通过质谱对牛奶蛋白质组进行深入分析面临挑战,因为存在少数高丰度蛋白质,它们会干扰低丰度蛋白质的检测。在此,我们评估了在变性条件下采用强阴离子交换分级分离程序对牛奶样品进行蛋白质组分析的情况,该条件可确保破坏蛋白质 - 蛋白质相互作用。通过蛋白质芯片阵列质谱对粗乳清或脱脂牛奶及其不同的分级产物进行分析。使用蛋白质芯片阵列质谱,几种高丰度蛋白质定位在不同的分级产物中,从而增加了检测到的独特肽段和蛋白质的总数。通过组合用于捕获的不同色谱表面阵列,这个总数增加了约20 - 30%。在人脱脂牛奶和乳清中获得了可重复的结果;然而,这种方法对乳脂肪球膜并不成功,需要改进。因此,通过阴离子交换分级分离结合蛋白质芯片阵列质谱进行牛奶分析是一种有前途的工具,可用于检测未知的低丰度牛奶蛋白质,这些蛋白质最终可能被证明可作为通过母乳喂养传播的疾病的生物标志物。