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The Protein Composition of Mitotic Chromosomes Determined Using Multiclassifier Combinatorial Proteomics
Despite many decades of study, mitotic chromosome structure and composition remain poorly characterized. Here, we have integrated quantitative proteomics with bioinformatic analysis to generate a series of independent classifiers that describe the ∼4,000 proteins identified in isolated mitotic chrom...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Cell Press
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2982257/ https://www.ncbi.nlm.nih.gov/pubmed/20813266 http://dx.doi.org/10.1016/j.cell.2010.07.047 |
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author | Ohta, Shinya Bukowski-Wills, Jimi-Carlo Sanchez-Pulido, Luis Alves, Flavia de Lima Wood, Laura Chen, Zhuo A. Platani, Melpi Fischer, Lutz Hudson, Damien F. Ponting, Chris P. Fukagawa, Tatsuo Earnshaw, William C. Rappsilber, Juri |
author_facet | Ohta, Shinya Bukowski-Wills, Jimi-Carlo Sanchez-Pulido, Luis Alves, Flavia de Lima Wood, Laura Chen, Zhuo A. Platani, Melpi Fischer, Lutz Hudson, Damien F. Ponting, Chris P. Fukagawa, Tatsuo Earnshaw, William C. Rappsilber, Juri |
author_sort | Ohta, Shinya |
collection | PubMed |
description | Despite many decades of study, mitotic chromosome structure and composition remain poorly characterized. Here, we have integrated quantitative proteomics with bioinformatic analysis to generate a series of independent classifiers that describe the ∼4,000 proteins identified in isolated mitotic chromosomes. Integrating these classifiers by machine learning uncovers functional relationships between protein complexes in the context of intact chromosomes and reveals which of the ∼560 uncharacterized proteins identified here merits further study. Indeed, of 34 GFP-tagged predicted chromosomal proteins, 30 were chromosomal, including 13 with centromere-association. Of 16 GFP-tagged predicted nonchromosomal proteins, 14 were confirmed to be nonchromosomal. An unbiased analysis of the whole chromosome proteome from genetic knockouts of kinetochore protein Ska3/Rama1 revealed that the APC/C and RanBP2/RanGAP1 complexes depend on the Ska complex for stable association with chromosomes. Our integrated analysis predicts that up to 97 new centromere-associated proteins remain to be discovered in our data set. |
format | Text |
id | pubmed-2982257 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Cell Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-29822572010-12-06 The Protein Composition of Mitotic Chromosomes Determined Using Multiclassifier Combinatorial Proteomics Ohta, Shinya Bukowski-Wills, Jimi-Carlo Sanchez-Pulido, Luis Alves, Flavia de Lima Wood, Laura Chen, Zhuo A. Platani, Melpi Fischer, Lutz Hudson, Damien F. Ponting, Chris P. Fukagawa, Tatsuo Earnshaw, William C. Rappsilber, Juri Cell Resource Despite many decades of study, mitotic chromosome structure and composition remain poorly characterized. Here, we have integrated quantitative proteomics with bioinformatic analysis to generate a series of independent classifiers that describe the ∼4,000 proteins identified in isolated mitotic chromosomes. Integrating these classifiers by machine learning uncovers functional relationships between protein complexes in the context of intact chromosomes and reveals which of the ∼560 uncharacterized proteins identified here merits further study. Indeed, of 34 GFP-tagged predicted chromosomal proteins, 30 were chromosomal, including 13 with centromere-association. Of 16 GFP-tagged predicted nonchromosomal proteins, 14 were confirmed to be nonchromosomal. An unbiased analysis of the whole chromosome proteome from genetic knockouts of kinetochore protein Ska3/Rama1 revealed that the APC/C and RanBP2/RanGAP1 complexes depend on the Ska complex for stable association with chromosomes. Our integrated analysis predicts that up to 97 new centromere-associated proteins remain to be discovered in our data set. Cell Press 2010-09-03 /pmc/articles/PMC2982257/ /pubmed/20813266 http://dx.doi.org/10.1016/j.cell.2010.07.047 Text en © 2010 ELL & Excerpta Medica. https://creativecommons.org/licenses/by-nc-nd/3.0/ Open Access under CC BY-NC-ND 3.0 (https://creativecommons.org/licenses/by-nc-nd/3.0/) license |
spellingShingle | Resource Ohta, Shinya Bukowski-Wills, Jimi-Carlo Sanchez-Pulido, Luis Alves, Flavia de Lima Wood, Laura Chen, Zhuo A. Platani, Melpi Fischer, Lutz Hudson, Damien F. Ponting, Chris P. Fukagawa, Tatsuo Earnshaw, William C. Rappsilber, Juri The Protein Composition of Mitotic Chromosomes Determined Using Multiclassifier Combinatorial Proteomics |
title | The Protein Composition of Mitotic Chromosomes Determined Using Multiclassifier Combinatorial Proteomics |
title_full | The Protein Composition of Mitotic Chromosomes Determined Using Multiclassifier Combinatorial Proteomics |
title_fullStr | The Protein Composition of Mitotic Chromosomes Determined Using Multiclassifier Combinatorial Proteomics |
title_full_unstemmed | The Protein Composition of Mitotic Chromosomes Determined Using Multiclassifier Combinatorial Proteomics |
title_short | The Protein Composition of Mitotic Chromosomes Determined Using Multiclassifier Combinatorial Proteomics |
title_sort | protein composition of mitotic chromosomes determined using multiclassifier combinatorial proteomics |
topic | Resource |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2982257/ https://www.ncbi.nlm.nih.gov/pubmed/20813266 http://dx.doi.org/10.1016/j.cell.2010.07.047 |
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