Literature DB >> 16791210

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

Alex Sigal1, Ron Milo, Ariel Cohen, Naama Geva-Zatorsky, Yael Klein, Inbal Alaluf, Naamah Swerdlin, Natalie Perzov, Tamar Danon, Yuvalal Liron, Tal Raveh, Anne E Carpenter, Galit Lahav, Uri Alon.   

Abstract

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.

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Year:  2006        PMID: 16791210     DOI: 10.1038/nmeth892

Source DB:  PubMed          Journal:  Nat Methods        ISSN: 1548-7091            Impact factor:   28.547


  66 in total

1.  Using bleach-chase to measure protein half-lives in living cells.

Authors:  Naama Geva-Zatorsky; Irina Issaeva; Avi Mayo; Ariel Cohen; Erez Dekel; Tamar Danon; Lydia Cohen; Yuvalal Liron; Uri Alon; Eran Eden
Journal:  Nat Protoc       Date:  2012-03-29       Impact factor: 13.491

Review 2.  Toward the virtual cell: automated approaches to building models of subcellular organization "learned" from microscopy images.

Authors:  Taráz E Buck; Jieyue Li; Gustavo K Rohde; Robert F Murphy
Journal:  Bioessays       Date:  2012-07-10       Impact factor: 4.345

3.  Drug discovery: engineering drug combinations.

Authors:  Scott J Dixon; Brent R Stockwell
Journal:  Nat Chem Biol       Date:  2010-05       Impact factor: 15.040

4.  Automated analysis of protein subcellular location in time series images.

Authors:  Yanhua Hu; Elvira Osuna-Highley; Juchang Hua; Theodore Scott Nowicki; Robert Stolz; Camille McKayle; Robert F Murphy
Journal:  Bioinformatics       Date:  2010-05-19       Impact factor: 6.937

Review 5.  Using variability in gene expression as a tool for studying gene regulation.

Authors:  Olivia Padovan-Merhar; Arjun Raj
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2013-08-29

Review 6.  We are all individuals: causes and consequences of non-genetic heterogeneity in mammalian cells.

Authors:  Alexander Loewer; Galit Lahav
Journal:  Curr Opin Genet Dev       Date:  2011-10-15       Impact factor: 5.578

7.  Large-scale automated analysis of location patterns in randomly tagged 3T3 cells.

Authors:  Elvira García Osuna; Juchang Hua; Nicholas W Bateman; Ting Zhao; Peter B Berget; Robert F Murphy
Journal:  Ann Biomed Eng       Date:  2007-02-07       Impact factor: 3.934

8.  Scoring diverse cellular morphologies in image-based screens with iterative feedback and machine learning.

Authors:  Thouis R Jones; Anne E Carpenter; Michael R Lamprecht; Jason Moffat; Serena J Silver; Jennifer K Grenier; Adam B Castoreno; Ulrike S Eggert; David E Root; Polina Golland; David M Sabatini
Journal:  Proc Natl Acad Sci U S A       Date:  2009-02-02       Impact factor: 11.205

9.  Quantitative proteomics analysis of chondrogenic differentiation of C3H10T1/2 mesenchymal stem cells by iTRAQ labeling coupled with on-line two-dimensional LC/MS/MS.

Authors:  Yu-hua Ji; Ju-ling Ji; Fen-yong Sun; Yao-ying Zeng; Xian-hui He; Jing-xian Zhao; Yu Yu; Shou-he Yu; Wei Wu
Journal:  Mol Cell Proteomics       Date:  2009-12-15       Impact factor: 5.911

10.  The incoherent feedforward loop can provide fold-change detection in gene regulation.

Authors:  Lea Goentoro; Oren Shoval; Marc W Kirschner; Uri Alon
Journal:  Mol Cell       Date:  2009-12-11       Impact factor: 17.970

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