Department of Biochemistry and Interdisciplinary Plant Group, Plant Genetics Research Unit, Department of Agriculture, Agricultural Research Service, Columbia, MO 65211, USA.
Plant Physiol. 2010 Apr;152(4):2078-87. doi: 10.1104/pp.109.152413. Epub 2010 Jan 29.
Previous systems analyses in plants have focused on a single developmental stage or time point, although it is often important to additionally consider time-index changes. During seed development a cascade of events occurs within a relatively brief time scale. We have collected protein and transcript expression data from five sequential stages of Arabidopsis (Arabidopsis thaliana) seed development encompassing the period of reserve polymer accumulation. Protein expression profiling employed two-dimensional gel electrophoresis coupled with tandem mass spectrometry, while transcript profiling used oligonucleotide microarrays. Analyses in biological triplicate yielded robust expression information for 523 proteins and 22,746 genes across the five developmental stages, and established 319 protein/transcript pairs for subsequent pattern analysis. General linear modeling was used to evaluate the protein/transcript expression patterns. Overall, application of this statistical assessment technique showed concurrence for a slight majority (56%) of expression pairs. Many specific examples of discordant protein/transcript expression patterns were detected, suggesting that this approach will be useful in revealing examples of posttranscriptional regulation.
先前的植物系统分析集中于单个发育阶段或时间点，尽管通常还需要考虑时间索引变化。在种子发育过程中，一系列事件在相对较短的时间范围内发生。我们从拟南芥种子发育的五个连续阶段收集了蛋白质和转录表达数据，涵盖了储备聚合物积累的时期。蛋白质表达分析采用二维凝胶电泳与串联质谱相结合的方法，而转录分析则使用寡核苷酸微阵列。在生物学重复三次的分析中，获得了 523 种蛋白质和 22746 个基因在五个发育阶段的稳健表达信息，并建立了 319 个蛋白质/转录对进行后续模式分析。采用广义线性模型评估蛋白质/转录表达模式。总体而言，该统计评估技术的应用对于大多数（56%）表达对具有一致性。检测到许多蛋白质/转录表达模式不一致的具体例子，表明这种方法将有助于揭示转录后调控的例子。
