Linked Life Data

19658104

Source:http://linkedlifedata.com/resource/pubmed/id/19658104

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
16
pubmed:dateCreated
2009-8-26
pubmed:abstractText
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.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
1615-9861
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
9
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
4048-62
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Cliques in mitotic spindle network bring kinetochore-associated complexes to form dependence pathway.
pubmed:affiliation
Institute of Biotechnology in Medicine, National Yang-Ming University, Taipei 112, Taiwan.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't