Bottleneck genes and community structure in the cell cycle network of S. pombe.

The identification of cell cycle-related genes is still a difficult task, even for organisms with relatively few genes such as the fission yeast. Several gene expression studies have been published on S. pombe showing similarities but also discrepancies in their results. We introduce a network in wh...

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Main Authors: Cécile Caretta-Cartozo, Paolo De Los Rios, Francesco Piazza, Pietro Liò
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2007-06-01
Series:PLoS Computational Biology
Online Access:https://doi.org/10.1371/journal.pcbi.0030103
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spelling doaj-3f00d04e67ef4c5da841fffde4e4e7dd2021-04-21T15:08:57ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582007-06-0136e10310.1371/journal.pcbi.0030103Bottleneck genes and community structure in the cell cycle network of S. pombe.Cécile Caretta-CartozoPaolo De Los RiosFrancesco PiazzaPietro LiòThe identification of cell cycle-related genes is still a difficult task, even for organisms with relatively few genes such as the fission yeast. Several gene expression studies have been published on S. pombe showing similarities but also discrepancies in their results. We introduce a network in which the weight of each link is a function of the phase difference between the expression peaks of two genes. The analysis of the stability of the clustering through the computation of an entropy parameter reveals a structure made of four clusters, the first one corresponding to a robustly connected M-G1 component, the second to genes in the S phase, and the third and fourth to two G2 components. They are separated by bottleneck structures that appear to correspond to cell cycle checkpoints. We identify a number of genes that are located on these bottlenecks. They represent a novel group of cell cycle regulatory genes. They all show interesting functions, and they are supposed to be involved in the regulation of the transition from one phase to the next. We therefore present a comparison of the available studies on the fission yeast cell cycle and a general statistical bioinformatics methodology to find bottlenecks and gene community structures based on recent developments in network theory.https://doi.org/10.1371/journal.pcbi.0030103
collection DOAJ
language English
format Article
sources DOAJ
author Cécile Caretta-Cartozo
Paolo De Los Rios
Francesco Piazza
Pietro Liò
spellingShingle Cécile Caretta-Cartozo
Paolo De Los Rios
Francesco Piazza
Pietro Liò
Bottleneck genes and community structure in the cell cycle network of S. pombe.
PLoS Computational Biology
author_facet Cécile Caretta-Cartozo
Paolo De Los Rios
Francesco Piazza
Pietro Liò
author_sort Cécile Caretta-Cartozo
title Bottleneck genes and community structure in the cell cycle network of S. pombe.
title_short Bottleneck genes and community structure in the cell cycle network of S. pombe.
title_full Bottleneck genes and community structure in the cell cycle network of S. pombe.
title_fullStr Bottleneck genes and community structure in the cell cycle network of S. pombe.
title_full_unstemmed Bottleneck genes and community structure in the cell cycle network of S. pombe.
title_sort bottleneck genes and community structure in the cell cycle network of s. pombe.
publisher Public Library of Science (PLoS)
series PLoS Computational Biology
issn 1553-734X
1553-7358
publishDate 2007-06-01
description The identification of cell cycle-related genes is still a difficult task, even for organisms with relatively few genes such as the fission yeast. Several gene expression studies have been published on S. pombe showing similarities but also discrepancies in their results. We introduce a network in which the weight of each link is a function of the phase difference between the expression peaks of two genes. The analysis of the stability of the clustering through the computation of an entropy parameter reveals a structure made of four clusters, the first one corresponding to a robustly connected M-G1 component, the second to genes in the S phase, and the third and fourth to two G2 components. They are separated by bottleneck structures that appear to correspond to cell cycle checkpoints. We identify a number of genes that are located on these bottlenecks. They represent a novel group of cell cycle regulatory genes. They all show interesting functions, and they are supposed to be involved in the regulation of the transition from one phase to the next. We therefore present a comparison of the available studies on the fission yeast cell cycle and a general statistical bioinformatics methodology to find bottlenecks and gene community structures based on recent developments in network theory.
url https://doi.org/10.1371/journal.pcbi.0030103
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