UMMS Affiliation

Program in Systems Biology; Department of Microbiology and Physiological Systems

Date

3-8-2016

Document Type

Article

Disciplines

Cell Biology | Genetics and Genomics | Integrative Biology | Molecular Biology | Systems Biology

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.

Rights and Permissions

Citation: Integr Biol (Camb). 2016 Mar 8. Link to article on publisher's site

Comments

© The Royal Society of Chemistry 2016. Publisher PDF posted after 12 months as allowed by the publisher's author rights policy at http://www.rsc.org/journals-books-databases/journal-authors-reviewers/licences-copyright-permissions/#author-rights.

Related Resources

Link to Article in PubMed

Keywords

synthetic biology

Journal Title

Integrative biology : quantitative biosciences from nano to macro

PubMed ID

26952708

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.