Institut für Biochemie, Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany;Department of Plant Sciences, Weizmann Institute of Science, Rehovot 76100, Israel;
Department of Plant Sciences, Weizmann Institute of Science, Rehovot 76100, Israel;
Proc Natl Acad Sci U S A. 2014 Jun 10;111(23):8488-93. doi: 10.1073/pnas.1314810111. Epub 2014 Jun 2.
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.
蛋白质组学技术产生了大量的数据,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更清晰的细胞如何利用其蛋白质资源的画面?本文旨在从最近的定量蛋白质组学研究中,广泛了解蛋白质组的组成。我们描述了 proteomaps,这是一种用于可视化蛋白质组组成的方法,重点关注蛋白质丰度和功能。在 proteomaps 中,每个蛋白质都显示为一个多边形形状的瓦片,其面积代表蛋白质丰度。功能相关的蛋白质出现在相邻的区域。蛋白质组的一般趋势,如新陈代谢和蛋白质生产的主导地位,变得显而易见。我们制作了已发表的蛋白质组数据集的交互式可视化效果,可在 www.proteomaps.net 上访问。我们建议,评估不同生物体和细胞类型在不同条件下分配蛋白质资源的方式,将有助于我们更深入地了解细胞如何以及为什么调节其蛋白质组的组成。