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生物活性肽、网络与系统生物学

Bioactive peptides, networks and systems biology.

作者信息

Boonen Kurt, Creemers John W, Schoofs Liliane

机构信息

Laboratory of Biochemical Neuroendocrinology, Center for Human Genetics K.U. Leuven, Leuven, Belgium.

出版信息

Bioessays. 2009 Mar;31(3):300-14. doi: 10.1002/bies.200800055.

Abstract

Bioactive peptides are a group of diverse intercellular signalling molecules. Almost half a century of research on this topic has resulted in an enormous amount of data. In this essay, a general perspective to interpret all these data will be given. In classical endocrinology, neuropeptides were thought of as simple signalling molecules that each elicit one response. However, the fact that the total bioactive peptide signal is far from simple puts this view under pressure. Cells and tissues express many different bioactive peptides and they are also able to respond to many different bioactive peptides, indicating that multiple receptors and signal transduction pathways are present in a single cell. Therefore, the authors suggest that the bioactive peptide signalling system should be regarded in the context of network and systems biology. Bioactive peptides can best be viewed as an extension of the protein interaction network that allows regulating and fine-tuning the metabolism of the different cells and tissues in the body. The cell thus responds to the 'peptidome' instead of to a single peptide. The intracellular part of this signalling network consists of the various signalling transduction cascades. Recently, new systems biology approaches have emerged for the modelling of cell signalling. The network and systems biology approach is also able to shed new light on the evolution of intercellular signalling.

摘要

生物活性肽是一类多样的细胞间信号分子。近半个世纪对该主题的研究产生了大量数据。在本文中,将给出一个解释所有这些数据的总体视角。在经典内分泌学中,神经肽被认为是简单的信号分子,每种神经肽引发一种反应。然而,生物活性肽总信号远非简单这一事实使这种观点受到压力。细胞和组织表达许多不同的生物活性肽,并且它们也能够对许多不同的生物活性肽作出反应,这表明单个细胞中存在多种受体和信号转导途径。因此,作者建议应在网络和系统生物学的背景下看待生物活性肽信号系统。生物活性肽最好被视为蛋白质相互作用网络的扩展,该网络允许调节和微调体内不同细胞和组织的代谢。细胞因此对“肽组”而非单个肽作出反应。该信号网络的细胞内部分由各种信号转导级联组成。最近,出现了用于细胞信号建模的新系统生物学方法。网络和系统生物学方法也能够为细胞间信号的进化提供新的见解。

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