Virtual mutagenesis of the yeast cyclins genetic network reveals complex dynamics of transcriptional control networks.

Study of genetic networks has moved from qualitative description of interactions between regulators and regulated genes to the analysis of the interaction dynamics. This paper focuses on the analysis of dynamics of one particular network--the yeast cyclins network. Using a dedicated mathematical mod...

Full description

Bibliographic Details
Main Authors: Eliska Vohradska, Jiri Vohradsky
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2011-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3081828?pdf=render
id doaj-13568a58ceb44aa0aa0305041726641d
record_format Article
spelling doaj-13568a58ceb44aa0aa0305041726641d2020-11-25T02:27:09ZengPublic Library of Science (PLoS)PLoS ONE1932-62032011-01-0164e1882710.1371/journal.pone.0018827Virtual mutagenesis of the yeast cyclins genetic network reveals complex dynamics of transcriptional control networks.Eliska VohradskaJiri VohradskyStudy of genetic networks has moved from qualitative description of interactions between regulators and regulated genes to the analysis of the interaction dynamics. This paper focuses on the analysis of dynamics of one particular network--the yeast cyclins network. Using a dedicated mathematical model of gene expression and a procedure for computation of the parameters of the model from experimental data, a complete numerical model of the dynamics of the cyclins genetic network was attained. The model allowed for performing virtual experiments on the network and observing their influence on the expression dynamics of the genes downstream in the regulatory cascade. Results show that when the network structure is more complicated, and the regulatory interactions are indirect, results of gene deletion are highly unpredictable. As a consequence of quantitative behavior of the genes and their connections within the network, causal relationship between a regulator and target gene may not be discovered by gene deletion. Without including the dynamics of the system into the network, its functional properties cannot be studied and interpreted correctly.http://europepmc.org/articles/PMC3081828?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Eliska Vohradska
Jiri Vohradsky
spellingShingle Eliska Vohradska
Jiri Vohradsky
Virtual mutagenesis of the yeast cyclins genetic network reveals complex dynamics of transcriptional control networks.
PLoS ONE
author_facet Eliska Vohradska
Jiri Vohradsky
author_sort Eliska Vohradska
title Virtual mutagenesis of the yeast cyclins genetic network reveals complex dynamics of transcriptional control networks.
title_short Virtual mutagenesis of the yeast cyclins genetic network reveals complex dynamics of transcriptional control networks.
title_full Virtual mutagenesis of the yeast cyclins genetic network reveals complex dynamics of transcriptional control networks.
title_fullStr Virtual mutagenesis of the yeast cyclins genetic network reveals complex dynamics of transcriptional control networks.
title_full_unstemmed Virtual mutagenesis of the yeast cyclins genetic network reveals complex dynamics of transcriptional control networks.
title_sort virtual mutagenesis of the yeast cyclins genetic network reveals complex dynamics of transcriptional control networks.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2011-01-01
description Study of genetic networks has moved from qualitative description of interactions between regulators and regulated genes to the analysis of the interaction dynamics. This paper focuses on the analysis of dynamics of one particular network--the yeast cyclins network. Using a dedicated mathematical model of gene expression and a procedure for computation of the parameters of the model from experimental data, a complete numerical model of the dynamics of the cyclins genetic network was attained. The model allowed for performing virtual experiments on the network and observing their influence on the expression dynamics of the genes downstream in the regulatory cascade. Results show that when the network structure is more complicated, and the regulatory interactions are indirect, results of gene deletion are highly unpredictable. As a consequence of quantitative behavior of the genes and their connections within the network, causal relationship between a regulator and target gene may not be discovered by gene deletion. Without including the dynamics of the system into the network, its functional properties cannot be studied and interpreted correctly.
url http://europepmc.org/articles/PMC3081828?pdf=render
work_keys_str_mv AT eliskavohradska virtualmutagenesisoftheyeastcyclinsgeneticnetworkrevealscomplexdynamicsoftranscriptionalcontrolnetworks
AT jirivohradsky virtualmutagenesisoftheyeastcyclinsgeneticnetworkrevealscomplexdynamicsoftranscriptionalcontrolnetworks
_version_ 1724844019343687680