Document Detail

Systems biology of mammalian cell division.
MedLine Citation:
PMID:  18635956     Owner:  NLM     Status:  MEDLINE    
High-throughput screening technologies allow the identification of genes and proteins essential for mammalian cell division. However, the underlying complexity and connectivity of different biological processes, such as signal transduction, transcription, translation and proteolysis make it difficult to understand the mammalian cell cycle based on the analysis of its individual components alone. The recent development of robust and precise assays to study the mammalian cell cycle, in combination with functional genomics and proteomics, together provide the necessary tools to address this critical issue. With the implementation of different "Omics" technologies for quantitative and high-throughput data acquisition, the possibility of obtaining a more detailed view of the mammalian cell cycle is now realistic. Here, we review RNAi reagents, assays and validation strategies for the identification of genes functioning in the human cell cycle, and outline genomic, proteomic and microscopic approaches to further characterize their specific functions. While a fully integrated model of mammalian cell division remains a distant goal, a framework of a systems understanding of this medically relevant process is beginning to emerge.
Ralf Kittler; Laurence Pelletier; Frank Buchholz
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Review     Date:  2008-05-21
Journal Detail:
Title:  Cell cycle (Georgetown, Tex.)     Volume:  7     ISSN:  1551-4005     ISO Abbreviation:  Cell Cycle     Publication Date:  2008 Jul 
Date Detail:
Created Date:  2008-07-25     Completed Date:  2008-09-15     Revised Date:  2008-09-23    
Medline Journal Info:
Nlm Unique ID:  101137841     Medline TA:  Cell Cycle     Country:  United States    
Other Details:
Languages:  eng     Pagination:  2123-8     Citation Subset:  IM    
Department of Human Genetics and Institute of Genomics and Systems Biology, The University of Chicago, Chicago, Illinois, USA.
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MeSH Terms
Cell Division*
Mammals / metabolism*
Quality Control
RNA Interference
Reproducibility of Results
Systems Biology*

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