Dynamic proteomics in individual human cells uncovers widespread cell-cycle dependence of nuclear proteins

被引：0

作者：

Sigal A. ^{[1
]}

Milo R. ^{[1
,2
]}

Cohen A. ^{[1
]}

Geva-Zatorsky N. ^{[1
]}

Klein Y. ^{[1
]}

Alaluf I. ^{[1
]}

Swerdlin N. ^{[1
]}

Perzov N. ^{[1
]}

Danon T. ^{[1
]}

Liron Y. ^{[1
]}

Raveh T. ^{[3
]}

Carpenter A.E. ^{[4
]}

Lahav G. ^{[5
]}

Alon U. ^{[1
,2
]}

机构：

[1] Department of Molecular Cell Biology, Weizmann Institute of Science

[2] Department of Physics of Complex Systems, Weizmann Institute of Science

[3] Department of Developmental Biology, Stanford University, Palo Alto

[4] Whitehead Institute for Biomedical Research, Cambridge

[5] Department of Systems Biology, Harvard Medical School, Boston

来源：

Nature Methods | 2006年 / 3卷 / 7期

基金：

以色列科学基金会;

关键词：

D O I：

10.1038/nmeth892

中图分类号：

学科分类号：

摘要：

We examined cell cycle-dependent changes in the proteome of human cells by systematically measuring protein dynamics in individual living cells. We used time-lapse microscopy to measure the dynamics of a random subset of 20 nuclear proteins, each tagged with yellow fluorescent protein (YFP) at its endogenous chromosomal location. We synchronized the cells in silico by aligning protein dynamics in each cell between consecutive divisions. We observed widespread (40%) cell-cycle dependence of nuclear protein levels and detected previously unknown cell cycle-dependent localization changes. This approach to dynamic proteomics can aid in discovery and accurate quantification of the extensive regulation of protein concentration and localization in individual living cells. © 2006 Nature Publishing Group.

引用

页码：525 / 531

页数：6

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[1] Dynamic proteomics in individual human cells uncovers widespread cell-cycle dependence of nuclear proteins
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