Visual account of protein investment in cellular functions
Visual account of protein investment in cellular functions
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DOI：
10.1073/pnas.1314810111
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发表时间：
2014-06-10
影响因子：
11.1
通讯作者：
Milo, Ron
中科院分区：
文献类型：
--
作者：
Liebermeister, Wolfram;Noor, Elad;Milo, Ron
蛋白质组学技术产生了大量的数据，并有望满足生物学家长期以来在全基因组范围内测量绝对蛋白质丰度的愿望。然而，这些知识能否转化为细胞如何投资其蛋白质资源的更清晰的图景？本文旨在从最近的定量蛋白质组学研究中收集蛋白质组学的组成，给出一个广阔的视角。我们描述了蛋白质组图，一种可视化蛋白质组组成的方法，重点是蛋白质丰度和功能。在蛋白质图中，每个蛋白质都显示为一个多边形形状的瓦片，并用一个区域表示蛋白质丰度。功能相关蛋白出现在邻近区域。蛋白质组学的一般趋势，如代谢和蛋白质生产的主导地位，变得很容易看到。我们使已发表的蛋白质组数据集的交互式可视化可访问www.proteomaps.net。我们认为，评估蛋白质资源在不同条件下由各种生物体和细胞类型分配的方式将加深我们对细胞如何以及为什么调节其蛋白质组组成的理解。
Proteomics techniques generate an avalanche of data and promise to satisfy biologists' long-held desire to measure absolute protein abundances on a genome-wide scale. However, can this knowledge be translated into a clearer picture of how cells invest their protein resources? This article aims to give a broad perspective on the composition of proteomes as gleaned from recent quantitative proteomics studies. We describe proteomaps, an approach for visualizing the composition of proteomes with a focus on protein abundances and functions. In proteomaps, each protein is shown as a polygon-shaped tile, with an area representing protein abundance. Functionally related proteins appear in adjacent regions. General trends in proteomes, such as the dominance of metabolism and protein production, become easily visible. We make interactive visualizations of published proteome datasets accessible at www.proteomaps.net. We suggest that evaluating the way protein resources are allocated by various organisms and cell types in different conditions will sharpen our understanding of how and why cells regulate the composition of their proteomes.