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

BACKGROUND: Proteins functioning in the same biological pathway tend to be transcriptionally co-regulated or form protein-protein interactions (PPI). Multiple spatially and temporally regulated events are coordinated during mitosis to achieve faithful chromosome segregation. The molecular players pa...

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Autores principales: Tipton, Aaron R, Wang, Kexi, Oladimeji, Peter, Sufi, Shermeen, Gu, Zhidong, Liu, Song-Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3419070/
https://www.ncbi.nlm.nih.gov/pubmed/22712476
http://dx.doi.org/10.1186/1471-2121-13-15
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author Tipton, Aaron R
Wang, Kexi
Oladimeji, Peter
Sufi, Shermeen
Gu, Zhidong
Liu, Song-Tao
author_facet Tipton, Aaron R
Wang, Kexi
Oladimeji, Peter
Sufi, Shermeen
Gu, Zhidong
Liu, Song-Tao
author_sort Tipton, Aaron R
collection PubMed
description BACKGROUND: Proteins functioning in the same biological pathway tend to be transcriptionally co-regulated or form protein-protein interactions (PPI). Multiple spatially and temporally regulated events are coordinated during mitosis to achieve faithful chromosome segregation. The molecular players participating in mitosis regulation are still being unravelled experimentally or using in silico methods. RESULTS: 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 p31(comet). CONCLUSIONS: Transcriptional co-expression and PPI network analyses with known human centromere/kinetochore proteins as a query group help identify novel potential mitosis regulators.
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spelling pubmed-34190702012-08-15 Identification of novel mitosis regulators through data mining with human centromere/kinetochore proteins as group queries Tipton, Aaron R Wang, Kexi Oladimeji, Peter Sufi, Shermeen Gu, Zhidong Liu, Song-Tao BMC Cell Biol Research Article BACKGROUND: Proteins functioning in the same biological pathway tend to be transcriptionally co-regulated or form protein-protein interactions (PPI). Multiple spatially and temporally regulated events are coordinated during mitosis to achieve faithful chromosome segregation. The molecular players participating in mitosis regulation are still being unravelled experimentally or using in silico methods. RESULTS: 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 p31(comet). CONCLUSIONS: Transcriptional co-expression and PPI network analyses with known human centromere/kinetochore proteins as a query group help identify novel potential mitosis regulators. BioMed Central 2012-06-19 /pmc/articles/PMC3419070/ /pubmed/22712476 http://dx.doi.org/10.1186/1471-2121-13-15 Text en Copyright ©2012 Tipton et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Tipton, Aaron R
Wang, Kexi
Oladimeji, Peter
Sufi, Shermeen
Gu, Zhidong
Liu, Song-Tao
Identification of novel mitosis regulators through data mining with human centromere/kinetochore proteins as group queries
title Identification of novel mitosis regulators through data mining with human centromere/kinetochore proteins as group queries
title_full Identification of novel mitosis regulators through data mining with human centromere/kinetochore proteins as group queries
title_fullStr Identification of novel mitosis regulators through data mining with human centromere/kinetochore proteins as group queries
title_full_unstemmed Identification of novel mitosis regulators through data mining with human centromere/kinetochore proteins as group queries
title_short Identification of novel mitosis regulators through data mining with human centromere/kinetochore proteins as group queries
title_sort identification of novel mitosis regulators through data mining with human centromere/kinetochore proteins as group queries
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3419070/
https://www.ncbi.nlm.nih.gov/pubmed/22712476
http://dx.doi.org/10.1186/1471-2121-13-15
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