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Integrative Biology
Article . 2016 . Peer-reviewed
Data sources: Crossref
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Using synthetic biology to make cells tomorrow's test tubes

Authors: Garcia, Hernan G; Brewster, Robert C; Phillips, Rob;

Using synthetic biology to make cells tomorrow's test tubes

Abstract

The main tenet of physical biology is that biological phenomena can be subject to the same quantitative and predictive understanding that physics has afforded in the context of inanimate matter. However, the inherent complexity of many of these biological processes often leads to the derivation of complex theoretical descriptions containing a plethora of unknown parameters. Such complex descriptions pose a conceptual challenge to the establishment of a solid basis for predictive biology. In this article, we present various exciting examples of how synthetic biology can be used to simplify biological systems and distill these phenomena down to their essential features as a means to enable their theoretical description. Here, synthetic biology goes beyond previous efforts to engineer nature and becomes a tool to bend nature to understand it. We discuss various recent and classic experiments featuring applications of this synthetic approach to the elucidation of problems ranging from bacteriophage infection, to transcriptional regulation in bacteria and in developing embryos, to evolution. In all of these examples, synthetic biology provides the opportunity to turn cells into the equivalent of a test tube, where biological phenomena can be reconstituted and our theoretical understanding put to test with the same ease that these same phenomena can be studied in the in vitro setting.

Country
United States
Keywords

Male, 570, Heterozygote, General Science & Technology, Green Fluorescent Proteins, Models, Biological, Medicinal and Biomolecular Chemistry, Genetic, Models, Escherichia coli, Animals, Humans, Bacteriophages, Phosphorylation, Selection, Genetic, Molecular Biology, Selection, Binding Sites, Integrative Biology, Systems Biology, Genetic Drift, Genetics and Genomics, Cell Biology, Pharmacology and Pharmaceutical Sciences, 540, Biological, Biological Evolution, Drosophila melanogaster, Lac Operon, Female, Synthetic Biology, synthetic biology, Generic health relevance, Biochemistry and Cell Biology, Signal Transduction

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    popularity
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    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).
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selected citations
These citations are derived from selected sources.
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!
10
Top 10%
Average
Average
Green
bronze