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加利福尼亚海兔腹神经节的蛋白质组学特性——神经科学的蛋白质资源。

Proteomic characterization of the abdominal ganglion of Aplysia californica-a protein resource for neuroscience.

机构信息

Proteomics Core Facility, Center for Medical Research and Institute of Pathology, Medical University of Graz, Austria.

出版信息

Proteomics. 2012 Aug;12(15-16):2482-6. doi: 10.1002/pmic.201100641. Epub 2012 Jul 23.

Abstract

Aplysia californica (AC) is a widely used model for testing learning and memory. Although ESTs have been generated, proteomics studies on AC proteins are limited. Studies at the protein level, however, are mandatory, not only due to the fact that studies at the nucleic acid level are not allowing conclusions about PTMs. A gel-based proteomics method was therefore applied to carry out protein profiling in abdominal ganglia from AC. Abdominal ganglia were extirpated, proteins extracted and run on 2DE with subsequent in-gel digestion with trypsin, chymotrypsin, and partially by subtilisin. Peptides were identified using a nano-LC-ESI-LTQ-FT-mass spectrometer. MS/MS data were analyzed by searching the NCBI nonredundant public AC EST database and the NCBI nonredundant public AC protein database. A total of 477 different proteins represented by 363 protein spots were detected and were assigned to different protein pathways as for instance signaling (receptors, protein kinases, and phosphatases), metabolism, protein synthesis, handling and degradation, cytoskeleton and structural, oxido-redox, heat shock and chaperone, hypothetical, predicted and unnamed proteins. The generation of a protein map of soluble proteins shows the existence of so far hypothetical and predicted proteins and is allowing and challenging further work at the protein level, in particular in the field of neuroscience.

摘要

加利福尼亚海兔(AC)是用于测试学习和记忆的广泛使用的模型。尽管已经生成了 EST,但 AC 蛋白的蛋白质组学研究却有限。然而,在蛋白质水平上进行研究是必不可少的,这不仅是因为在核酸水平上的研究不允许对 PTMs 进行结论,而且还因为在蛋白质水平上进行研究是必不可少的。因此,应用基于凝胶的蛋白质组学方法来进行 AC 腹神经节的蛋白质谱分析。切除腹神经节,提取蛋白质,在 2DE 上运行,随后用胰蛋白酶、糜蛋白酶和部分枯草杆菌蛋白酶进行胶内消化。使用纳升 LC-ESI-LTQ-FT-质谱仪鉴定肽。通过在 NCBI 非冗余公共 AC EST 数据库和 NCBI 非冗余公共 AC 蛋白质数据库中搜索来分析 MS/MS 数据。检测到 477 种不同的蛋白质,由 363 个蛋白质斑点代表,并被分配到不同的蛋白质途径,如信号转导(受体、蛋白激酶和磷酸酶)、代谢、蛋白质合成、处理和降解、细胞骨架和结构、氧化还原、热休克和伴侣、假设、预测和未命名的蛋白质。可溶性蛋白质的蛋白质图谱的生成表明存在迄今为止假设和预测的蛋白质,并允许和挑战在蛋白质水平上进一步工作,特别是在神经科学领域。

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