%0 Journal Article
%T Identification of novel mitosis regulators through data mining with human centromere/kinetochore proteins as group queries
%A Aaron R Tipton
%A Kexi Wang
%A Peter Oladimeji
%A Shermeen Sufi
%A Zhidong Gu
%A Song-Tao Liu
%J BMC Cell Biology
%D 2012
%I BioMed Central
%R 10.1186/1471-2121-13-15
%X An extensive literature review has led to a compilation of 196 human centromere/kinetochore proteins, all with experimental evidence supporting the subcellular localization. Sixty-four were designated as ¡°core¡± centromere/kinetochore components based on peak expression and/or well-characterized functions during mitosis. By interrogating and integrating online resources, we have mined for genes/proteins that display transcriptional co-expression or PPI with the core centromere/kinetochore components. Top-ranked hubs in either co-expression or PPI network are not only enriched with known mitosis regulators, but also contain candidates whose mitotic functions are not yet established. Experimental validation found that KIAA1377 is a novel centrosomal protein that also associates with microtubules and midbody; while TRIP13 is a novel kinetochore protein and directly interacts with mitotic checkpoint silencing protein p31comet.Transcriptional co-expression and PPI network analyses with known human centromere/kinetochore proteins as a query group help identify novel potential mitosis regulators.
%K Centromere
%K Kinetochore
%K Centrosome
%K Data mining
%K Protein-protein interaction
%K Co-expression
%U http://www.biomedcentral.com/1471-2121/13/15/abstract