Systems approaches for synthetic biology: a pathway toward mammalian design
Identifieur interne : 000284 ( Main/Exploration ); précédent : 000283; suivant : 000285Systems approaches for synthetic biology: a pathway toward mammalian design
Auteurs : Rahul Rekhi ; Amina A. QutubSource :
- Frontiers in Physiology [ 1664-042X ] ; 2013.
Abstract
We review methods of understanding cellular interactions through computation in order to guide the synthetic design of mammalian cells for translational applications, such as regenerative medicine and cancer therapies. In doing so, we argue that the challenges of engineering mammalian cells provide a prime opportunity to leverage advances in computational systems biology. We support this claim systematically, by addressing each of the principal challenges to existing synthetic bioengineering approaches—stochasticity, complexity, and scale—with specific methods and paradigms in systems biology. Moreover, we characterize a key set of diverse computational techniques, including agent-based modeling, Bayesian network analysis, graph theory, and Gillespie simulations, with specific utility toward synthetic biology. Lastly, we examine the mammalian applications of synthetic biology for medicine and health, and how computational systems biology can aid in the continued development of these applications.
Url:
DOI: 10.3389/fphys.2013.00285
PubMed: 24130532
PubMed Central: 3793170
Affiliations:
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Systems approaches for synthetic biology: a pathway toward mammalian design</title><author><name sortKey="Rekhi, Rahul" sort="Rekhi, Rahul" uniqKey="Rekhi R" first="Rahul" last="Rekhi">Rahul Rekhi</name></author><author><name sortKey="Qutub, Amina A" sort="Qutub, Amina A" uniqKey="Qutub A" first="Amina A." last="Qutub">Amina A. Qutub</name></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">24130532</idno><idno type="pmc">3793170</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3793170</idno><idno type="RBID">PMC:3793170</idno><idno type="doi">10.3389/fphys.2013.00285</idno><date when="2013">2013</date><idno type="wicri:Area/Pmc/Corpus">000541</idno><idno type="wicri:Area/Pmc/Curation">000541</idno><idno type="wicri:Area/Pmc/Checkpoint">000262</idno><idno type="wicri:Area/Ncbi/Merge">000460</idno><idno type="wicri:Area/Ncbi/Curation">000460</idno><idno type="wicri:Area/Ncbi/Checkpoint">000460</idno><idno type="wicri:Area/Main/Merge">000284</idno><idno type="wicri:Area/Main/Curation">000284</idno><idno type="wicri:Area/Main/Exploration">000284</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Systems approaches for synthetic biology: a pathway toward mammalian design</title><author><name sortKey="Rekhi, Rahul" sort="Rekhi, Rahul" uniqKey="Rekhi R" first="Rahul" last="Rekhi">Rahul Rekhi</name></author><author><name sortKey="Qutub, Amina A" sort="Qutub, Amina A" uniqKey="Qutub A" first="Amina A." last="Qutub">Amina A. Qutub</name></author></analytic><series><title level="j">Frontiers in Physiology</title><idno type="eISSN">1664-042X</idno><imprint><date when="2013">2013</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>We review methods of understanding cellular interactions through computation in order to guide the synthetic design of mammalian cells for translational applications, such as regenerative medicine and cancer therapies. In doing so, we argue that the challenges of engineering mammalian cells provide a prime opportunity to leverage advances in computational systems biology. We support this claim systematically, by addressing each of the principal challenges to existing synthetic bioengineering approaches—stochasticity, complexity, and scale—with specific methods and paradigms in systems biology. Moreover, we characterize a key set of diverse computational techniques, including agent-based modeling, Bayesian network analysis, graph theory, and Gillespie simulations, with specific utility toward synthetic biology. Lastly, we examine the mammalian applications of synthetic biology for medicine and health, and how computational systems biology can aid in the continued development of these applications.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Agapakis, C M" uniqKey="Agapakis C">C. M. Agapakis</name></author><author><name sortKey="Boyle, P M" uniqKey="Boyle P">P. M. Boyle</name></author><author><name sortKey="Silver, P A" uniqKey="Silver P">P. A. Silver</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Alon, U" uniqKey="Alon U">U. Alon</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Alterovitz, G" uniqKey="Alterovitz G">G. 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Kazman</name></author></analytic></biblStruct></listBibl></div1></back></TEI><affiliations><list></list><tree><noCountry><name sortKey="Qutub, Amina A" sort="Qutub, Amina A" uniqKey="Qutub A" first="Amina A." last="Qutub">Amina A. Qutub</name><name sortKey="Rekhi, Rahul" sort="Rekhi, Rahul" uniqKey="Rekhi R" first="Rahul" last="Rekhi">Rahul Rekhi</name></noCountry></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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