ABSTRACT

Introduction

This review presents the view of the author, that is opinionable and even speculative, on the field of proteomics, its application to plant biology knowledge, and translation to biotechnology. Written in a more academic than scientific style, it is based on past original and review articles by the author´s group, and those published by leading scientists in the last two years.

Areas covered

Starting with a general definition and references to historical milestones, it covers sections devoted to the different platforms employed, the plant biology discourse in the protein language, challenges and future prospects, ending with the author opinion.

Expert opinion

In 25 years, five proteomics platform generations have appeared. We are now moving from proteomics to Systems Biology. While feasible with model organisms, proteomics of orphan species remains challenging. Proteomics, even in its simplest approach, sheds light on plant biological processes, central dogma, and molecular bases of phenotypes of interest, and it can be translated to areas such as food traceability and allergen detection. Proteomics should be validated and optimized to each experimental system, objectives, and hypothesis. It has limitations, artifacts, and biases. We should not blindly accept proteomics data and just create a list of proteins, networks, and avoid speculative biological interpretations. From the hundred to thousand proteins identified and quantified, it is important to obtain a focus and validate some of them, otherwise it is merely. We are starting to have the protein pieces, so let, from now, build the proteomics and biological puzzle.

中文翻译：

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蛋白质组学和植物生物学：迄今为止的贡献和对未来十年的展望

摘要

介绍

这篇综述介绍了作者在蛋白质组学领域、其在植物生物学知识中的应用以及对生物技术的转化方面的观点，这是有见地的，甚至是推测性的。它以学术而非科学的风格撰写，基于作者团队过去的原创文章和评论文章，以及过去两年领先科学家发表的文章。

涵盖的领域

从一般定义和对历史里程碑的引用开始，它涵盖了致力于使用的不同平台、蛋白质语言中的植物生物学论述、挑战和未来前景的部分，最后是作者的观点。

专家意见

25年来，出现了五代蛋白质组学平台。我们现在正从蛋白质组学转向系统生物学。虽然模式生物可行，但孤儿物种的蛋白质组学仍然具有挑战性。蛋白质组学，即使是最简单的方法，也阐明了植物生物学过程、中心法则和感兴趣的表型的分子基础，并且可以转化为食品可追溯性和过敏原检测等领域。蛋白质组学应针对每个实验系统、目标和假设进行验证和优化。它有局限性、伪影和偏见。我们不应该盲目地接受蛋白质组学数据，而只是创建一个蛋白质、网络列表，并避免投机性的生物学解释。从识别和量化的数百到数千种蛋白质中，重要的是要获得焦点并验证其中的一些，否则只是。我们开始拥有蛋白质片段，所以让我们从现在开始构建蛋白质组学和生物学难题。