↓ Skip to main content

PLOS

Information Routing Driven by Background Chatter in a Signaling Network

Overview of attention for article published in PLoS Computational Biology, December 2011
Altmetric Badge

Mentioned by

blogs
1 blog
twitter
5 X users

Readers on

mendeley
66 Mendeley
citeulike
1 CiteULike
Title
Information Routing Driven by Background Chatter in a Signaling Network
Published in
PLoS Computational Biology, December 2011
DOI 10.1371/journal.pcbi.1002297
Pubmed ID
Authors

Núria Domedel-Puig, Pau Rué, Antonio J. Pons, Jordi García-Ojalvo

Abstract

Living systems are capable of processing multiple sources of information simultaneously. This is true even at the cellular level, where not only coexisting signals stimulate the cell, but also the presence of fluctuating conditions is significant. When information is received by a cell signaling network via one specific input, the existence of other stimuli can provide a background activity -or chatter- that may affect signal transmission through the network and, therefore, the response of the cell. Here we study the modulation of information processing by chatter in the signaling network of a human cell, specifically, in a Boolean model of the signal transduction network of a fibroblast. We observe that the level of external chatter shapes the response of the system to information carrying signals in a nontrivial manner, modulates the activity levels of the network outputs, and effectively determines the paths of information flow. Our results show that the interactions and node dynamics, far from being random, confer versatility to the signaling network and allow transitions between different information-processing scenarios.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Malaysia 1 2%
Ireland 1 2%
Portugal 1 2%
Canada 1 2%
United Kingdom 1 2%
Spain 1 2%
Argentina 1 2%
Unknown 57 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 27%
Researcher 18 27%
Professor > Associate Professor 9 14%
Professor 6 9%
Student > Master 5 8%
Other 8 12%
Unknown 2 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 35%
Physics and Astronomy 9 14%
Biochemistry, Genetics and Molecular Biology 7 11%
Engineering 7 11%
Computer Science 5 8%
Other 10 15%
Unknown 5 8%