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Integration of gel-based and gel-free proteomic data for functional analysis of proteins through Soybean Proteome Database

机译:通过大豆蛋白质组数据库的蛋白质功能分析的基于凝胶和无凝胶蛋白质组学数据的整合

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摘要

Soybean Proteome Database (SPD) stores data on soybean proteins obtained with gel-based and gel-free proteomic techniques. The database was constructed to provide information on proteins for functional analyses. The majority of the data is focused on soybean (Glycine max 'Enrei'). The growth and yield of soybean are strongly affected by environmental stresses such as flooding. The database was originally constructed using data on soybean proteins separated by two-dimensional polyacrylamide gel electrophoresis, which is a gel-based proteomic technique. Since 2015, the database has been expanded to incorporate data obtained by label-free mass spectrometry-based quantitative proteomics, which is a gel-free proteomic technique. Here, the portions of the database consisting of gel-free proteomic data are described. The gel-free proteomic database contains 39,212 proteins identified in 63 sample sets, such as temporal and organ-specific samples of soybean plants grown under flooding stress or non-stressed conditions. In addition, data on organellar proteins identified in mitochondria, nuclei, and endoplasmic reticulum are stored. Furthermore, the database integrates multiple omics data such as genomics, transcriptomics, metabolomics, and proteomics. The SPD database is accessible at http://proteome.dc.affmgojp/Soybean/.
机译:大豆蛋白质组数据库(SPD)存储以凝胶基和无凝胶蛋白质组学技术获得的大豆蛋白质的数据。构建数据库以提供有关功能分析的蛋白质的信息。大多数数据都集中在大豆(甘氨酸最大'EnRei')上。大豆的生长和产量受到环境压力的强烈影响,如洪水。数据库最初使用由二维聚丙烯酰胺凝胶电泳分离的大豆蛋白质的数据构建,这是一种基于凝胶的蛋白质组学技术。自2015年以来,已经扩展了数据库以掺入通过无标记的质谱基的定量蛋白质组学获得的数据,这是一种无凝胶蛋白质组学技术。这里,描述了由无凝胶蛋白质组学数据组成的数据库的部分。无凝胶的蛋白质组学数据库含有39,212个蛋白质,在63种样品组中鉴定,例如在泛滥应力或非胁迫条件下生长的大豆植物的时间和器官特异性样品。此外,还储存了在线粒体,核和内质网中鉴定的细胞细胞蛋白质的数据。此外,数据库集成了多个OMIC数据,例如基因组学,转录组,代谢组和蛋白质组学。 SPD数据库可在http://proteome.dc.dc.jp/soybean/上访问。

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