The protein composition of mitotic chromosomes determined using multiclassifier combinatorial proteomics.
The protein composition of mitotic chromosomes determined using multiclassifier combinatorial proteomics.
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DOI:
10.1016/j.cell.2010.07.047
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发表时间:
2010-09-03
期刊:
影响因子:
64.5
通讯作者:
Rappsilber J
中科院分区:
文献类型:
--
作者:
Ohta S;Bukowski-Wills JC;Sanchez-Pulido L;Alves Fde L;Wood L;Chen ZA;Platani M;Fischer L;Hudson DF;Ponting CP;Fukagawa T;Earnshaw WC;Rappsilber J
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. ► Method to define the protein composition of a complex nonpurifiable organelle ► Combines genetics and proteomics to study complexes in whole chromosomes ► Use of machine learning to uncover functional relationships between proteins ► Comprehensive list of >4000 mitotic chromosome-associated proteins
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影响因子:
12.3
作者:
Gentleman RC;Carey VJ;Bates DM;Bolstad B;Dettling M;Dudoit S;Ellis B;Gautier L;Ge Y;Gentry J;Hornik K;Hothorn T;Huber W;Iacus S;Irizarry R;Leisch F;Li C;Maechler M;Rossini AJ;Sawitzki G;Smith C;Smyth G;Tierney L;Yang JY;Zhang J
通讯作者:
Zhang J
影响因子:
5.3
作者:
JIANG, WD;MIDDLETON, K;CARBON, J
通讯作者:
CARBON, J
影响因子:
7
作者:
Ishihama, Y;Oda, Y;Mann, M
通讯作者:
Mann, M
影响因子:
64.5
作者:
Hori, Tetsuya;Amano, Miho;Fukagawa, Tatsuo
通讯作者:
Fukagawa, Tatsuo
影响因子:
64.8
作者:
Andersen, JS;Wilkinson, CJ;Mann, M
通讯作者:
Mann, M