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Quantification of the N-glycosylated Secretome by Super-SILAC During Breast Cancer Progression and in Human Blood Samples

机译:在乳腺癌进展期间和人体血液样本中通过超级sILaC定量N-糖基化的分泌组

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摘要

Cells secrete a large number of proteins to communicate with their surroundings. Furthermore, plasma membrane proteins and intracellular proteins can be released into the extracellular space by regulated or non-regulated processes. Here, we profiled the supernatant of 11 cell lines that are representative of different stages of breast cancer development by specifically capturing N-glycosylated peptides using the N-glyco FASP technology. For accurate quantification we developed a super-SILAC mix from several labeled breast cancer cell lines and used it as an internal standard for all samples. In total, 1398 unique N-glycosylation sites were identified and quantified. Enriching for N-glycosylated peptides focused the analysis on classically secreted and membrane proteins. N-glycosylated secretome profiles correctly clustered the different cell lines to their respective cancer stage, suggesting that biologically relevant differences were detected. Five different profiles of glycoprotein dynamics during cancer development were detected, and they contained several proteins with known roles in breast cancer. We then used the super-SILAC mix in plasma, which led to the quantification of a large number of the previously identified N-glycopeptides in this important body fluid. The combination of quantifying the secretome of cancer cell lines and of human plasma with a super-SILAC approach appears to be a promising new approach for finding markers of disease. Molecular & Cellular Proteomics 12: 10.1074/mcp.M112.023614, 158-171, 2013.
机译:细胞分泌大量蛋白质以与周围环境进行通讯。此外,质膜蛋白和细胞内蛋白可以通过调节或非调节过程释放到细胞外空间。在这里,我们通过使用N-glyco FASP技术特异性捕获N-糖基化的肽,对11种细胞系的上清进行了分析,这些细胞系代表了乳腺癌发展的不同阶段。为了准确定量,我们从几种标记的乳腺癌细胞系中开发了一种超级SILAC混合物,并将其用作所有样品的内标。总共鉴定并定量了1398个独特的N-糖基化位点。 N-糖基化肽的富集将分析重点放在经典分泌和膜蛋白上。 N-糖基化的分泌组谱正确地将不同的细胞系聚集到其各自的癌症阶段,这表明检测到生物学上相关的差异。在癌症发展过程中检测到了五种不同的糖蛋白动力学特征,它们包含几种在乳腺癌中具有已知作用的蛋白质。然后,我们在血浆中使用了超级SILAC混合物,这导致了对这种重要体液中大量先前鉴定出的N-糖肽的定量。用super-SILAC方法对癌细胞系和人血浆的分泌组进行定量分析似乎是寻找疾病标志物的一种有前途的新方法。分子与细胞蛋白质组学12:10.1074 / mcp.M112.023614,158-171,2013。

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