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受调节分泌途径的快速肽组学

Snapshot peptidomics of the regulated secretory pathway.

作者信息

Sasaki Kazuki, Satomi Yoshinori, Takao Toshifumi, Minamino Naoto

机构信息

Department of Pharmacology, National Cardiovascular Center Research Institute, Suita, Osaka, Japan.

出版信息

Mol Cell Proteomics. 2009 Jul;8(7):1638-47. doi: 10.1074/mcp.M900044-MCP200. Epub 2009 Mar 31.

Abstract

Neurons and endocrine cells have the regulated secretory pathway (RSP) in which precursor proteins undergo proteolytic processing by prohormone convertase (PC) 1/3 or 2 to generate bioactive peptides. Although motifs for PC-mediated processing have been described ((R/K)X(n)(R/K) where n = 0, 2, 4, or 6), actual processing sites cannot be predicted from amino acid sequences alone. We hypothesized that discovery of bioactive peptides would be facilitated by experimentally identifying signal peptide cleavage sites and processing sites. However, in vivo and in vitro peptide degradation, which is widely recognized in peptidomics, often hampers processing site determination. To obtain sequence information about peptides generated in the RSP on a large scale, we applied a brief exocytotic stimulus (2 min) to cultured endocrine cells and analyzed peptides released into supernatant using LC-MSMS. Of note, 387 of the 400 identified peptides arose from 19 precursor proteins known to be processed in the RSP, including nine peptide hormone and neuropeptide precursors, seven granin-like proteins, and three processing enzymes (PC1/3, PC2, and peptidyl-glycine alpha-amidating monooxygenase). In total, 373 peptides were informative enough to predict processing sites in that they have signal sequence cleavage sites, PC consensus sites, or monobasic cleavage sites. Several monobasic cleavage sites identified here were previously proved to be generated by PCs. Thus, our approach helps to predict processing sites of RSP precursor proteins and will expedite the identification of unknown bioactive peptides hidden in precursor sequences.

摘要

神经元和内分泌细胞具有调节性分泌途径(RSP),在前体蛋白通过激素原转化酶(PC)1/3或2进行蛋白水解加工以产生生物活性肽。尽管已经描述了PC介导加工的基序((R/K)X(n)(R/K),其中n = 0、2、4或6),但实际的加工位点不能仅从氨基酸序列预测。我们假设通过实验鉴定信号肽切割位点和加工位点将有助于发现生物活性肽。然而,在肽组学中广泛认识到的体内和体外肽降解常常妨碍加工位点的确定。为了大规模获得关于RSP中产生的肽的序列信息,我们对培养的内分泌细胞施加短暂的胞吐刺激(2分钟),并使用LC-MSMS分析释放到上清液中的肽。值得注意的是,400个鉴定出的肽中的387个来自已知在RSP中加工的19种前体蛋白,包括9种肽激素和神经肽前体、7种颗粒素样蛋白以及3种加工酶(PC1/3、PC2和肽基甘氨酸α-酰胺化单加氧酶)。总共373个肽具有足够的信息来预测加工位点,因为它们具有信号序列切割位点、PC共有位点或单碱性切割位点。这里鉴定出的几个单碱性切割位点先前已被证明是由PC产生的。因此,我们的方法有助于预测RSP前体蛋白的加工位点,并将加快鉴定隐藏在前体序列中的未知生物活性肽。

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