Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, ON, M5T 0S8, Canada.
Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, M5S 1A8, Canada.
Biol Rev Camb Philos Soc. 2021 Oct;96(5):1907-1932. doi: 10.1111/brv.12731. Epub 2021 May 6.
The quest to determine the function of a protein can represent a profound challenge. Although this task is the mandate of countless research groups, a general framework for how it can be approached is conspicuously lacking. Moreover, even expectations for when the function of a protein can be considered to be 'known' are not well defined. In this review, we begin by introducing concepts pertinent to the challenge of protein function assignments. We then propose a framework for inferring a protein's function from four data categories: 'inheritance', 'distribution', 'interactions' and 'phenotypes' (IDIP). We document that the functions of proteins emerge at the intersection of inferences drawn from these data categories and emphasise the benefit of considering them in an evolutionary context. We then apply this approach to the cellular prion protein (PrP ), well known for its central role in prion diseases, whose function continues to be considered elusive by many investigators. We document that available data converge on the conclusion that the function of the prion protein is to control a critical post-translational modification of the neural cell adhesion molecule in the context of epithelial-to-mesenchymal transition and related plasticity programmes. Finally, we argue that this proposed function of PrP has already passed the test of time and is concordant with the IDIP framework in a way that other functions considered for this protein fail to achieve. We anticipate that the IDIP framework and the concepts analysed herein will aid the investigation of other proteins whose primary functional assignments have thus far been intractable.
确定蛋白质功能的探索可能是一个巨大的挑战。尽管这项任务是无数研究小组的任务,但如何接近这个问题的一般框架却明显缺失。此外,即使对于蛋白质功能何时可以被认为是“已知”的期望也没有得到很好的定义。在这篇综述中,我们首先介绍与蛋白质功能分配挑战相关的概念。然后,我们提出了一个从四个数据类别推断蛋白质功能的框架:“遗传”、“分布”、“相互作用”和“表型”(IDIP)。我们记录了蛋白质的功能是从这些数据类别中得出的推断的交集,并强调了在进化背景下考虑它们的好处。然后,我们将这种方法应用于细胞朊病毒蛋白(PrP),它因其在朊病毒疾病中的核心作用而广为人知,许多研究人员仍认为其功能难以捉摸。我们记录了现有数据的结论是,朊病毒蛋白的功能是在细胞间充质转化和相关可塑性程序中控制神经细胞粘附分子的关键翻译后修饰。最后,我们认为 PrP 的这种功能已经通过了时间的考验,并且与 IDIP 框架一致,而其他考虑用于该蛋白质的功能则无法实现。我们预计,IDIP 框架和本文分析的概念将有助于研究其他蛋白质的主要功能分配,这些蛋白质的主要功能分配迄今难以解决。