Institute of Chemistry, University of São Paulo, São Paulo, Brazil.
Center for Nuclear Energy in Agriculture, University of São Paulo, Piracicaba, Brazil.
Adv Exp Med Biol. 2021;1346:51-66. doi: 10.1007/978-3-030-80352-0_3.
Proteome analysis of model and non-model plants is a genuine scientific field in expansion. Several technological advances have contributed to the implementation of different proteomics approaches for qualitative and quantitative analysis of the dynamics of cellular responses at the protein level. The design of time-resolved experiments and the emergent use of multiplexed proteome analysis using chemical or isotopic and isobaric labeling strategies as well as label-free approaches are generating a vast amount of proteomics data that is going to be essential for analysis of protein posttranslational modifications and implementation of systems biology approaches. Through the target proteomics analysis, especially the ones that combine the untargeted methods, we should expect an improvement in the completeness of the identification of proteome and reveal nuances of regulatory cellular mechanisms related to plant development and responses to environmental stresses. Both genomic sequencing and proteomic advancements in the last decades coupled to integrative data analysis are enriching biological information that was once confined to model plants. Therewith, predictions of a changing environment places proteomics as an especially useful tool for crops performance.
模式和非模式植物的蛋白质组学分析是一个正在不断扩展的真正科学领域。几项技术进步为不同的蛋白质组学方法的实施做出了贡献，这些方法可用于定性和定量分析细胞反应在蛋白质水平上的动态。时间分辨实验的设计以及使用化学或同位素和等压标记策略以及无标记方法的多重蛋白质组分析的新兴应用正在产生大量蛋白质组学数据，这些数据对于分析蛋白质翻译后修饰和实施系统生物学方法至关重要。通过靶向蛋白质组学分析，特别是结合非靶向方法，我们应该期望提高蛋白质组鉴定的完整性，并揭示与植物发育和对环境胁迫反应相关的调控细胞机制的细微差别。基因组测序和过去几十年的蛋白质组学进步以及综合数据分析的结合正在丰富曾经仅限于模式植物的生物学信息。由此，对环境变化的预测将蛋白质组学作为一种特别有用的作物性能工具。
