Quantitative analysis of protein interaction network dynamics in yeast

被引:32
作者
Celaj, Albi [1 ,2 ,3 ,4 ]
Schlecht, Ulrich [5 ,6 ]
Smith, Justin D. [5 ,7 ]
Xu, Weihong [5 ]
Suresh, Sundari [5 ,6 ]
Miranda, Molly [5 ,6 ]
Aparicio, Ana Maria [5 ,6 ]
Proctor, Michael [5 ,6 ]
Davis, Ronald W. [5 ,6 ,7 ]
Roth, Frederick P. [1 ,2 ,3 ,4 ,8 ,9 ]
St. Onge, Robert P. [5 ,6 ]
机构
[1] Univ Toronto, Dept Mol Genet, Toronto, ON, Canada
[2] Univ Toronto, Dept Comp Sci, Toronto, ON, Canada
[3] Univ Toronto, Donnelly Ctr, Toronto, ON, Canada
[4] Sinai Hlth Syst, Lunenfeld Tanenbaum Res Inst, Toronto, ON, Canada
[5] Stanford Univ, Stanford Genome Technol Ctr, Palo Alto, CA 94304 USA
[6] Stanford Univ, Sch Med, Dept Biochem, Stanford, CA 94305 USA
[7] Stanford Univ, Dept Genet, Sch Med, Stanford, CA 94305 USA
[8] Canadian Inst Adv Res, Toronto, ON, Canada
[9] Dana Farber Canc Inst, Ctr Canc Syst Biol, Boston, MA 02115 USA
基金
美国国家卫生研究院;
关键词
environmental response; mRNA expression; network dynamics; protein complementation assay; protein-protein interactions; SACCHAROMYCES-CEREVISIAE; LIVING CELLS; COMPLEX-FORMATION; DNA-DAMAGE; EXPRESSION; STRESS; AFFINITY; COMPLEMENTATION; SELECTION; ASSAY;
D O I
10.15252/msb.20177532
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Many cellular functions are mediated by protein-protein interaction networks, which are environment dependent. However, systematic measurement of interactions in diverse environments is required to better understand the relative importance of different mechanisms underlying network dynamics. To investigate environment-dependent protein complex dynamics, we used a DNA-barcode-based multiplexed protein interaction assay in Saccharomyces cerevisiae to measure in vivo abundance of 1,379 binary protein complexes under 14 environments. Many binary complexes (55%) were environment dependent, especially those involving transmembrane transporters. We observed many concerted changes around highly connected proteins, and overall network dynamics suggested that "concerted" protein-centered changes are prevalent. Under a diauxic shift in carbon source from glucose to ethanol, a mass-action-based model using relative mRNA levels explained an estimated 47% of the observed variance in binary complex abundance and predicted the direction of concerted binary complex changes with 88% accuracy. Thus, we provide a resource of yeast protein interaction measurements across diverse environments and illustrate the value of this resource in revealing mechanisms of network dynamics.
引用
收藏
页码:1 / 17
页数:17
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