Document Detail


Genome-wide transcriptional analysis of the human cell cycle identifies genes differentially regulated in normal and cancer cells.
MedLine Citation:
PMID:  18195366     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Characterization of the transcriptional regulatory network of the normal cell cycle is essential for understanding the perturbations that lead to cancer. However, the complete set of cycling genes in primary cells has not yet been identified. Here, we report the results of genome-wide expression profiling experiments on synchronized primary human foreskin fibroblasts across the cell cycle. Using a combined experimental and computational approach to deconvolve measured expression values into "single-cell" expression profiles, we were able to overcome the limitations inherent in synchronizing nontransformed mammalian cells. This allowed us to identify 480 periodically expressed genes in primary human foreskin fibroblasts. Analysis of the reconstructed primary cell profiles and comparison with published expression datasets from synchronized transformed cells reveals a large number of genes that cycle exclusively in primary cells. This conclusion was supported by both bioinformatic analysis and experiments performed on other cell types. We suggest that this approach will help pinpoint genetic elements contributing to normal cell growth and cellular transformation.
Authors:
Ziv Bar-Joseph; Zahava Siegfried; Michael Brandeis; Benedikt Brors; Yong Lu; Roland Eils; Brian D Dynlacht; Itamar Simon
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.     Date:  2008-01-14
Journal Detail:
Title:  Proceedings of the National Academy of Sciences of the United States of America     Volume:  105     ISSN:  1091-6490     ISO Abbreviation:  Proc. Natl. Acad. Sci. U.S.A.     Publication Date:  2008 Jan 
Date Detail:
Created Date:  2008-01-24     Completed Date:  2008-02-12     Revised Date:  2010-09-22    
Medline Journal Info:
Nlm Unique ID:  7505876     Medline TA:  Proc Natl Acad Sci U S A     Country:  United States    
Other Details:
Languages:  eng     Pagination:  955-60     Citation Subset:  IM    
Affiliation:
Department of Computer Science, School of Computer Science and Lane Center for Computational Biology, Carnegie Mellon University, Pittsburgh, PA 15213, USA. zivbj@cs.cmu.edu
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MeSH Terms
Descriptor/Qualifier:
Cell Cycle / genetics*
Cell Cycle Proteins / classification,  genetics*
Cells, Cultured
Computational Biology
Flow Cytometry
Gene Expression Profiling
Gene Expression Regulation / genetics*
Gene Expression Regulation, Neoplastic / genetics
Genome, Human / genetics*
Health*
Humans
Neoplasms / genetics*,  pathology
Transcription, Genetic / genetics*
Grant Support
ID/Acronym/Agency:
CA077245-11/CA/NCI NIH HHS
Chemical
Reg. No./Substance:
0/Cell Cycle Proteins
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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