Lücker Joost, Laszczak Mario, Smith Derek, Lund Steven T
Faculty of Land and Food Systems, Wine Research Centre, University of British Columbia, Vancouver, BC, Canada.
BMC Genomics. 2009 Jan 26;10:50. doi: 10.1186/1471-2164-10-50.
iTRAQ is a proteomics technique that uses isobaric tags for relative and absolute quantitation of tryptic peptides. In proteomics experiments, the detection and high confidence annotation of proteins and the significance of corresponding expression differences can depend on the quality and the species specificity of the tryptic peptide map database used for analysis of the data. For species for which finished genome sequence data are not available, identification of proteins relies on similarity to proteins from other species using comprehensive peptide map databases such as the MSDB.
We were interested in characterizing ripening initiation ('veraison') in grape berries at the protein level in order to better define the molecular control of this important process for grape growers and wine makers. We developed a bioinformatic pipeline for processing EST data in order to produce a predicted tryptic peptide database specifically targeted to the wine grape cultivar, Vitis vinifera cv. Cabernet Sauvignon, and lacking truncated N- and C-terminal fragments. By searching iTRAQ MS/MS data generated from berry exocarp and mesocarp samples at ripening initiation, we determined that implementation of the custom database afforded a large improvement in high confidence peptide annotation in comparison to the MSDB. We used iTRAQ MS/MS in conjunction with custom peptide db searches to quantitatively characterize several important pathway components for berry ripening previously described at the transcriptional level and confirmed expression patterns for these at the protein level.
We determined that a predicted peptide database for MS/MS applications can be derived from EST data using advanced clustering and trimming approaches and successfully implemented for quantitative proteome profiling. Quantitative shotgun proteome profiling holds great promise for characterizing biological processes such as fruit ripening initiation and may be further improved by employing preparative techniques and/or analytical equipment that increase peptide detection sensitivity via a shotgun approach.
iTRAQ是一种蛋白质组学技术,它使用等压标签对胰蛋白酶肽段进行相对和绝对定量。在蛋白质组学实验中,蛋白质的检测、高可信度注释以及相应表达差异的显著性可能取决于用于数据分析的胰蛋白酶肽图谱数据库的质量和物种特异性。对于尚未获得完整基因组序列数据的物种,蛋白质的鉴定依赖于使用诸如MSDB等综合肽图谱数据库与其他物种的蛋白质进行相似性比对。
我们旨在从蛋白质水平表征葡萄果实成熟起始(“转色期”),以便为葡萄种植者和酿酒师更好地界定这一重要过程的分子调控机制。我们开发了一种生物信息学流程来处理EST数据,以生成一个专门针对酿酒葡萄品种赤霞珠(Vitis vinifera cv. Cabernet Sauvignon)的预测胰蛋白酶肽数据库,且该数据库缺乏截短的N端和C端片段。通过搜索在成熟起始时从浆果外果皮和中果皮样品生成的iTRAQ MS/MS数据,我们确定与MSDB相比,使用定制数据库可大幅提高高可信度肽段注释的水平。我们将iTRAQ MS/MS与定制肽数据库搜索相结合,对先前在转录水平描述的浆果成熟的几个重要途径成分进行了定量表征,并在蛋白质水平证实了这些成分的表达模式。
我们确定,使用先进的聚类和修剪方法可从EST数据中获得用于MS/MS应用的预测肽数据库,并成功用于定量蛋白质组分析。基于鸟枪法的定量蛋白质组分析在表征诸如果实成熟起始等生物学过程方面具有巨大潜力,并且通过采用能够通过鸟枪法提高肽段检测灵敏度的制备技术和/或分析设备,可能会得到进一步改进。