論文

査読有り
2010年9月

The Protein Composition of Mitotic Chromosomes Determined Using Multiclassifier Combinatorial Proteomics

CELL
  • Shinya Ohta
  • ,
  • Jimi-Carlo Bukowski-Wills
  • ,
  • Luis Sanchez-Pulido
  • ,
  • Flavia de Lima Alves
  • ,
  • Laura Wood
  • ,
  • Zhuo A. Chen
  • ,
  • Melpi Platani
  • ,
  • Lutz Fischer
  • ,
  • Damien F. Hudson
  • ,
  • Chris P. Ponting
  • ,
  • Tatsuo Fukagawa
  • ,
  • William C. Earnshaw
  • ,
  • Juri Rappsilber

142
5
開始ページ
810
終了ページ
821
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1016/j.cell.2010.07.047
出版者・発行元
CELL PRESS

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 similar to 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 similar to 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.

Web of Science ® 被引用回数 : 190

リンク情報
DOI
https://doi.org/10.1016/j.cell.2010.07.047
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/20813266
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000281523200023&DestApp=WOS_CPL

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