Modular coherence of protein dynamics in yeast cell polarity system

Juntao Tony Gao, Roger Guimerà, Hua Li, Inês Mendes Pinto, Marta Sales-Pardo, Stephanie C. Wai, Boris Rubinstein, Rong Li

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

In this study, we investigated on a systems level how complex protein interactions underlying cell polarity in yeast determine the dynamic association of proteins with the polar cortical domain (PCD) where they localize and perform morphogenetic functions. We constructed a network of physical interactions among >100 proteins localized to the PCD. This network was further divided into five robust modules correlating with distinct subprocesses associated with cell polarity. Based on this reconstructed network, we proposed a simple model that approximates a PCD protein's molecular residence time as the sumof the characteristic time constants of the functional modules with which it interacts, weighted by the number of edges forming these interactions. Regression analyses showed excellent fitting of the model with experimentally measured residence times for a large subset of the PCD proteins. The model is able to predict residence times using small training sets. Our analysis also revealed a scaffold protein that imposes a local constraint of dynamics for certain interacting proteins.

Original languageEnglish (US)
Pages (from-to)7647-7652
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Volume108
Issue number18
DOIs
StatePublished - May 3 2011
Externally publishedYes

Keywords

  • Budding yeast
  • Modeling
  • Network modularity

ASJC Scopus subject areas

  • General

Fingerprint

Dive into the research topics of 'Modular coherence of protein dynamics in yeast cell polarity system'. Together they form a unique fingerprint.

Cite this