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.

I: Cell, Bind 163, Nr. 3, 22.10.2015, s. 712-23.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Hein, MY, Hubner, NC, Poser, I, Cox, J, Nagaraj, N, Toyoda, Y, Gak, IA, Weisswange, I, Mansfeld, J, Buchholz, F, Hyman, AA & Mann, M 2015, 'A human interactome in three quantitative dimensions organized by stoichiometries and abundances', Cell, bind 163, nr. 3, s. 712-23. https://doi.org/10.1016/j.cell.2015.09.053

APA

Hein, M. Y., Hubner, N. C., Poser, I., Cox, J., Nagaraj, N., Toyoda, Y., ... Mann, M. (2015). A human interactome in three quantitative dimensions organized by stoichiometries and abundances. Cell, 163(3), 712-23. https://doi.org/10.1016/j.cell.2015.09.053

Vancouver

Hein MY, Hubner NC, Poser I, Cox J, Nagaraj N, Toyoda Y o.a. A human interactome in three quantitative dimensions organized by stoichiometries and abundances. Cell. 2015 okt 22;163(3):712-23. https://doi.org/10.1016/j.cell.2015.09.053

Author

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. / A human interactome in three quantitative dimensions organized by stoichiometries and abundances. I: Cell. 2015 ; Bind 163, Nr. 3. s. 712-23.

Bibtex

@article{5ea535832c674c558a0f267d27ef50f9,
title = "A human interactome in three quantitative dimensions organized by stoichiometries and abundances",
abstract = "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.",
keywords = "Cell Line, Chromosomes, Artificial, Bacterial/genetics, Humans, Protein Interaction Mapping, Proteomics/methods",
author = "Hein, {Marco Y} and Hubner, {Nina C} and Ina Poser and J{\"u}rgen Cox and Nagarjuna Nagaraj and Yusuke Toyoda and Gak, {Igor A} and Ina Weisswange and J{\"o}rg Mansfeld and Frank Buchholz and Hyman, {Anthony A} and Matthias Mann",
note = "Copyright {\circledC} 2015 Elsevier Inc. All rights reserved.",
year = "2015",
month = "10",
day = "22",
doi = "10.1016/j.cell.2015.09.053",
language = "English",
volume = "163",
pages = "712--23",
journal = "Cell",
issn = "0092-8674",
publisher = "Cell Press",
number = "3",

}

RIS

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