Literature DB >> 22169233

A new approach to an old problem: synthetic biology tools for human disease and metabolism.

D R Burrill1, P M Boyle, P A Silver.   

Abstract

The field of synthetic biology seeks to develop engineering principles for biological systems. Along these lines, synthetic biology can address human metabolic disease through the development of genetic approaches to the study and modification of metabolism. The re-engineering of natural metabolic states provides fundamental understanding of the integrated components underlying dysfunctional metabolism. Alternatively, the development of biological devices that can both sense and affect metabolic states could render unique control over disease states. In this chapter, we discuss the advancement of synthetic biological approaches to monitoring and engineering metabolism, as well as prospects for synthetic biology's future role in the prevention and treatment of metabolic disease.

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Year:  2011        PMID: 22169233     DOI: 10.1101/sqb.2011.76.010686

Source DB:  PubMed          Journal:  Cold Spring Harb Symp Quant Biol        ISSN: 0091-7451


  5 in total

Review 1.  Building synthetic memory.

Authors:  Mara C Inniss; Pamela A Silver
Journal:  Curr Biol       Date:  2013-09-09       Impact factor: 10.834

Review 2.  Engineering commensal bacteria for prophylaxis against infection.

Authors:  Yih-Lin Goh; HongFei He; John C March
Journal:  Curr Opin Biotechnol       Date:  2012-03-28       Impact factor: 9.740

Review 3.  Signal transduction: From the atomic age to the post-genomic era.

Authors:  Jeremy Thorner; Tony Hunter; Lewis C Cantley; Richard Sever
Journal:  Cold Spring Harb Perspect Biol       Date:  2014-10-30       Impact factor: 10.005

4.  Synthetic memory circuits for tracking human cell fate.

Authors:  Devin R Burrill; Mara C Inniss; Patrick M Boyle; Pamela A Silver
Journal:  Genes Dev       Date:  2012-07-01       Impact factor: 11.361

Review 5.  Synthetic biology and regulatory networks: where metabolic systems biology meets control engineering.

Authors:  Fei He; Ettore Murabito; Hans V Westerhoff
Journal:  J R Soc Interface       Date:  2016-04-13       Impact factor: 4.118

  5 in total

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