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Positive feedback in eukaryotic gene networks: cell differentiation by graded to binary response conversion
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 961816
Author(s) Becskei, A.; Séraphin, B.; Serrano, L.
Author(s) at UniBasel Becskei, Attila
Year 2001
Title Positive feedback in eukaryotic gene networks: cell differentiation by graded to binary response conversion
Journal The EMBO Journal
Volume 20
Number 10
Pages / Article-Number 2528-35
Mesh terms Cell Differentiation; DNA-Binding Proteins; Eukaryotic Cells; Feedback; Fungal Proteins, genetics; Gene Expression Regulation, Fungal; Genes, Reporter; Green Fluorescent Proteins; Luminescent Proteins, genetics; Promoter Regions, Genetic; Recombinant Fusion Proteins, genetics; Saccharomyces cerevisiae, physiology; Saccharomyces cerevisiae Proteins; Tetracycline; Trans-Activators, metabolism; Transcription Factors, genetics; Transcriptional Activation
Abstract Feedback is a ubiquitous control mechanism of gene networks. Here, we have used positive feedback to construct a synthetic eukaryotic gene switch in Saccharomyces cerevisiae. Within this system, a continuous gradient of constitutively expressed transcriptional activator is translated into a cell phenotype switch when the activator is expressed autocatalytically. This finding is consistent with a mathematical model whose analysis shows that continuous input parameters are converted into a bimodal probability distribution by positive feedback, and that this resembles analog-digital conversion. The autocatalytic switch is a robust property in eukaryotic gene expression. Although the behavior of individual cells within a population is random, the proportion of the cell population displaying either low or high expression states can be regulated. These results have implications for understanding the graded and probabilistic mechanisms of enhancer action and cell differentiation.
Publisher Nature Publishing Group
ISSN/ISBN 0261-4189 ; 1460-2075
edoc-URL http://edoc.unibas.ch/46419/
Full Text on edoc No
Digital Object Identifier DOI 10.1093/emboj/20.10.2528
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/11350942
ISI-Number WOS:000168943400020
Document type (ISI) Journal Article
 
   

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01/05/2024