TY - JOUR
T1 - Visual account of protein investment in cellular functions
AU - Liebermeister, Wolfram
AU - Noor, Elad
AU - Flamholz, Avi
AU - Davidi, Dan
AU - Bernhardt, Jörg
AU - Milo, Ron
N1 - German Research Foundation [Ll 1676/2-1, SFB Transregio 34/Z1]; European Research Council [260392-SYMPAC]; Israel Science Foundation [750/09]; Helmsley Charitable Foundation; Larson Charitable Foundation; Estate of David Arthur Barton; Anthony Stalbow Charitable Trust; Stella Gelerman, CanadaWe thank Tamar Geiger, Uri Moran, Niv Antonovsky, Naama Barkai, Arren Bar-Even, Hermann-Georg Holzhutter, Leeat Keren, Rob Phillips, and Noa Rippel for helpful discussions. We further thank Henry Mehlan and Julia Schuler for help in solving problems with the preliminary version of the Voronoi tessellation algorithm and are grateful for the support of DECODON (Greifswald, Germany) providing the final version of Paver. This work was supported by the German Research Foundation (Ll 1676/2-1 and SFB Transregio 34/Z1). R. M. is the incumbent of the Anna and Maurice Boukstein Career Development Chair and is supported by the European Research Council (260392-SYMPAC), the Israel Science Foundation (Grant 750/09), the Helmsley Charitable Foundation, the Larson Charitable Foundation, the Estate of David Arthur Barton, the Anthony Stalbow Charitable Trust, and Stella Gelerman, Canada.
PY - 2014/6/10
Y1 - 2014/6/10
N2 - 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.
AB - 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.
KW - Cell resource allocation
KW - Cellular economy
KW - Functional classification
KW - Mass spectrometry
KW - Voronoi treemap
UR - http://www.scopus.com/inward/record.url?scp=84902184652&partnerID=8YFLogxK
U2 - 10.1073/pnas.1314810111
DO - 10.1073/pnas.1314810111
M3 - مقالة
C2 - 24889604
SN - 0027-8424
VL - 111
SP - 8488
EP - 8493
JO - Proceedings of the National Academy of Sciences of the United States of America
JF - Proceedings of the National Academy of Sciences of the United States of America
IS - 23
ER -