A human interactome in three quantitative dimensions organized by stoichiometries and abundances
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A human interactome in three quantitative dimensions organized by stoichiometries and abundances. / Hein, Marco Y; Hubner, Nina C; Poser, Ina; Cox, Jürgen; Nagaraj, Nagarjuna; Toyoda, Yusuke; Gak, Igor A; Weisswange, Ina; Mansfeld, Jörg; Buchholz, Frank; Hyman, Anthony A; Mann, Matthias.
In: Cell, Vol. 163, No. 3, 22.10.2015, p. 712-23.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - A human interactome in three quantitative dimensions organized by stoichiometries and abundances
AU - Hein, Marco Y
AU - Hubner, Nina C
AU - Poser, Ina
AU - Cox, Jürgen
AU - Nagaraj, Nagarjuna
AU - Toyoda, Yusuke
AU - Gak, Igor A
AU - Weisswange, Ina
AU - Mansfeld, Jörg
AU - Buchholz, Frank
AU - Hyman, Anthony A
AU - Mann, Matthias
N1 - Copyright © 2015 Elsevier Inc. All rights reserved.
PY - 2015/10/22
Y1 - 2015/10/22
N2 - The organization of a cell emerges from the interactions in protein networks. The interactome is critically dependent on the strengths of interactions and the cellular abundances of the connected proteins, both of which span orders of magnitude. However, these aspects have not yet been analyzed globally. Here, we have generated a library of HeLa cell lines expressing 1,125 GFP-tagged proteins under near-endogenous control, which we used as input for a next-generation interaction survey. Using quantitative proteomics, we detect specific interactions, estimate interaction stoichiometries, and measure cellular abundances of interacting proteins. These three quantitative dimensions reveal that the protein network is dominated by weak, substoichiometric interactions that play a pivotal role in defining network topology. The minority of stable complexes can be identified by their unique stoichiometry signature. This study provides a rich interaction dataset connecting thousands of proteins and introduces a framework for quantitative network analysis.
AB - The organization of a cell emerges from the interactions in protein networks. The interactome is critically dependent on the strengths of interactions and the cellular abundances of the connected proteins, both of which span orders of magnitude. However, these aspects have not yet been analyzed globally. Here, we have generated a library of HeLa cell lines expressing 1,125 GFP-tagged proteins under near-endogenous control, which we used as input for a next-generation interaction survey. Using quantitative proteomics, we detect specific interactions, estimate interaction stoichiometries, and measure cellular abundances of interacting proteins. These three quantitative dimensions reveal that the protein network is dominated by weak, substoichiometric interactions that play a pivotal role in defining network topology. The minority of stable complexes can be identified by their unique stoichiometry signature. This study provides a rich interaction dataset connecting thousands of proteins and introduces a framework for quantitative network analysis.
KW - Cell Line
KW - Chromosomes, Artificial, Bacterial/genetics
KW - Humans
KW - Protein Interaction Mapping
KW - Proteomics/methods
U2 - 10.1016/j.cell.2015.09.053
DO - 10.1016/j.cell.2015.09.053
M3 - Journal article
C2 - 26496610
VL - 163
SP - 712
EP - 723
JO - Cell
JF - Cell
SN - 0092-8674
IS - 3
ER -
ID: 246723804