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Engineering Signal Transduction Pathways

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 01 Jan 2010 Italy English Publisher:Elsevier BVJournal:Cell, volume 140, pages 33-47 (issn: 0092-8674, Copyright policy )Funded by:EC | CELLDOCTOR, EC | PROSPECTS
Authors: Christina Kiel; Eva Yus; Luis Serrano; Luis Serrano;

doi: 10.1016/j.cell.2009.12.028

pmid: 20085704

handle: 11571/1469142

Engineering Signal Transduction Pathways

Abstract

Cells respond to their environment by sensing signals and translating them into changes in gene expression. In recent years, synthetic networks have been designed in both prokaryotic and eukaryotic systems to create new functionalities and for specific applications. In this review, we discuss the challenges associated with engineering signal transduction pathways. Furthermore, we address advantages and disadvantages of engineering signaling pathways in prokaryotic and eukaryotic cells, highlighting recent examples, and discuss how progress in synthetic biology might impact biotechnology and biomedicine.

Country
Italy
Related Organizations
Keywords

570, Eukaryotic Cells, Prokaryotic Cells, Biochemistry, Genetics and Molecular Biology(all), Animals, Humans, Bioengineering, Gene Regulatory Networks, Signal Transduction

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 119
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
119
Top 10%
Top 10%
Top 1%
hybrid