Capturing cellular machines by systematic screens of protein complexes

Julien Gagneur; Lior David; Lars M. Steinmetz

doi:10.1016/j.tim.2006.06.002

Capturing cellular machines by systematic screens of protein complexes

Julien Gagneur, Lior David, Lars M. Steinmetz

Research output: Contribution to journal › Short survey › peer-review

10 Scopus citations

Abstract

Two recent studies have provided the most complete screen for protein complexes in yeast to date, in which partners were identified for approximately half of the proteome. A comparison shows that these two datasets are complementary. In addition, one of the analyses points to a modular organization of the cellular protein network. These data will prove useful in defining principles and trends that arise when combining large-scale datasets of different natures, and in deriving properties of protein machines in cellular systems.

Original language	English
Pages (from-to)	336-339
Number of pages	4
Journal	Trends in Microbiology
Volume	14
Issue number	8
DOIs	https://doi.org/10.1016/j.tim.2006.06.002
State	Published - Aug 2006
Externally published	Yes

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10.1016/j.tim.2006.06.002

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AU - David, Lior

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AB - Two recent studies have provided the most complete screen for protein complexes in yeast to date, in which partners were identified for approximately half of the proteome. A comparison shows that these two datasets are complementary. In addition, one of the analyses points to a modular organization of the cellular protein network. These data will prove useful in defining principles and trends that arise when combining large-scale datasets of different natures, and in deriving properties of protein machines in cellular systems.

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ER -

Capturing cellular machines by systematic screens of protein complexes

Abstract

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