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  • 标题:Visual account of protein investment in cellular functions
  • 本地全文:下载
  • 作者:Wolfram Liebermeister ; Elad Noor ; Avi Flamholz
  • 期刊名称:Proceedings of the National Academy of Sciences
  • 印刷版ISSN:0027-8424
  • 电子版ISSN:1091-6490
  • 出版年度:2014
  • 卷号:111
  • 期号:23
  • 页码:8488-8493
  • DOI:10.1073/pnas.1314810111
  • 语种:English
  • 出版社:The National Academy of Sciences of the United States of America
  • 摘要: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.
  • 关键词:Voronoi treemap ; functional classification ; mass spectrometry ; cell resource allocation ; cellular economy
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