Literature DB >> 19658104

Cliques in mitotic spindle network bring kinetochore-associated complexes to form dependence pathway.

Tzu-Chi Chen1, Sheng-An Lee, Chen-Hsiung Chan, Yue-Li Juang, Yi-Ren Hong, Yei-Hsuan Huang, Jin-Mei Lai, Cheng-Yan Kao, Chi-Ying F Huang.   

Abstract

The mitotic spindle is an essential molecular machine for chromosome segregation during mitosis. Achieving a better understanding of its organization at the topological level remains a daunting task. To determine the functional connections among 137 mitotic spindle proteins, a protein-protein interaction network among queries was constructed. Many hub proteins, which connect more than one query and serve as highly plausible candidates for expanding the mitotic spindle proteome, are ranked by conventional degree centrality and a new subnetwork specificity score. Evaluation of the ranking results by literature reviews and empirical verification of SEPT6, a novel top-ranked hub, suggests that the subnetwork specificity score could enrich for putative spindle-related proteins. Topological analysis of this expanded network shows the presence of 30 3-cliques and six 4-cliques (fully connected subgraphs) that, respectively, reside in eight kinetochore-associated complexes, of which seven are evolution conserved. Notably, these complexes strikingly form dependence pathways for the assembly of the kinetochore complex. These analyses indicate the feasibility of using network topology, i.e. cliques, to uncover novel pathways to accelerate our understanding of potential biological processes.

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Year:  2009        PMID: 19658104     DOI: 10.1002/pmic.200900231

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  7 in total

1.  RED, a spindle pole-associated protein, is required for kinetochore localization of MAD1, mitotic progression, and activation of the spindle assembly checkpoint.

Authors:  Pei-Chi Yeh; Chang-Ching Yeh; Yi-Cheng Chen; Yue-Li Juang
Journal:  J Biol Chem       Date:  2012-02-18       Impact factor: 5.157

2.  Identification of novel mitosis regulators through data mining with human centromere/kinetochore proteins as group queries.

Authors:  Aaron R Tipton; Kexi Wang; Peter Oladimeji; Shermeen Sufi; Zhidong Gu; Song-Tao Liu
Journal:  BMC Cell Biol       Date:  2012-06-19       Impact factor: 4.241

3.  Construction and analysis of the protein-protein interaction networks for schizophrenia, bipolar disorder, and major depression.

Authors:  Sheng-An Lee; Theresa Tsun-Hui Tsao; Ko-Chun Yang; Han Lin; Yu-Lun Kuo; Chien-Hsiang Hsu; Wen-Kuei Lee; Kuo-Chuan Huang; Cheng-Yan Kao
Journal:  BMC Bioinformatics       Date:  2011-11-30       Impact factor: 3.169

4.  Gene expression-based chemical genomics identifies potential therapeutic drugs in hepatocellular carcinoma.

Authors:  Ming-Huang Chen; Wu-Lung R Yang; Kuan-Ting Lin; Chia-Hung Liu; Yu-Wen Liu; Kai-Wen Huang; Peter Mu-Hsin Chang; Jin-Mei Lai; Chun-Nan Hsu; Kun-Mao Chao; Cheng-Yan Kao; Chi-Ying F Huang
Journal:  PLoS One       Date:  2011-11-07       Impact factor: 3.240

5.  Analysis of schizophrenia and hepatocellular carcinoma genetic network with corresponding modularity and pathways: novel insights to the immune system.

Authors:  Kuo-Chuan Huang; Ko-Chun Yang; Han Lin; Theresa Tsao Tsun-Hui; Wen-Kuei Lee; Sheng-An Lee; Cheng-Yan Kao
Journal:  BMC Genomics       Date:  2013-10-16       Impact factor: 3.969

6.  Cliques for the identification of gene signatures for colorectal cancer across population.

Authors:  Meeta P Pradhan; Kshithija Nagulapalli; Mathew J Palakal
Journal:  BMC Syst Biol       Date:  2012-12-17

7.  Construction and analysis of the protein-protein interaction networks based on gene expression profiles of Parkinson's disease.

Authors:  Hindol Rakshit; Nitin Rathi; Debjani Roy
Journal:  PLoS One       Date:  2014-08-29       Impact factor: 3.240

  7 in total

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