Controlling and exploiting cell-to-cell variation in metabolic engineering
[Display omitted] •Cell-to-cell variation can have a significant impact on metabolic engineering.•Strategies for controlling or even exploiting variation can improve production.•New technologies for quantifying variation will enable innovative approaches. Individual cells within a population can dis...
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Veröffentlicht in: | Current opinion in biotechnology 2019-06, Vol.57, p.10-16 |
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•Cell-to-cell variation can have a significant impact on metabolic engineering.•Strategies for controlling or even exploiting variation can improve production.•New technologies for quantifying variation will enable innovative approaches.
Individual cells within a population can display diverse phenotypes due to differences in their local environment, genetic variation, and stochastic expression of genes. Understanding this cell-to-cell variation is important for metabolic engineering applications because variability can impact production. For instance, recent studies have shown that production can be highly heterogeneous among engineered cells, and strategies that manage this diversity improve yields of biosynthetic products. These results suggest the potential of controlling variation as a novel approach towards improving performance of engineered cells. In this review, we focus on identifying the origins of cell-to-cell variation in metabolic engineering applications and discuss recent developments on strategies that can be employed to diminish, accept, or even exploit cell-to-cell variation. |
doi_str_mv | 10.1016/j.copbio.2018.08.013 |
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•Cell-to-cell variation can have a significant impact on metabolic engineering.•Strategies for controlling or even exploiting variation can improve production.•New technologies for quantifying variation will enable innovative approaches.
Individual cells within a population can display diverse phenotypes due to differences in their local environment, genetic variation, and stochastic expression of genes. Understanding this cell-to-cell variation is important for metabolic engineering applications because variability can impact production. For instance, recent studies have shown that production can be highly heterogeneous among engineered cells, and strategies that manage this diversity improve yields of biosynthetic products. These results suggest the potential of controlling variation as a novel approach towards improving performance of engineered cells. In this review, we focus on identifying the origins of cell-to-cell variation in metabolic engineering applications and discuss recent developments on strategies that can be employed to diminish, accept, or even exploit cell-to-cell variation.</description><identifier>ISSN: 0958-1669</identifier><identifier>EISSN: 1879-0429</identifier><identifier>DOI: 10.1016/j.copbio.2018.08.013</identifier><identifier>PMID: 30261323</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Cells - metabolism ; Metabolic Engineering - methods ; Models, Biological</subject><ispartof>Current opinion in biotechnology, 2019-06, Vol.57, p.10-16</ispartof><rights>2018 Elsevier Ltd</rights><rights>Copyright © 2018 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c362t-4fa1415e74be594aca5822a4867aa250df3d61f9a2999c40ab3686a18b0269f53</citedby><cites>FETCH-LOGICAL-c362t-4fa1415e74be594aca5822a4867aa250df3d61f9a2999c40ab3686a18b0269f53</cites><orcidid>0000-0002-9261-8216</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.copbio.2018.08.013$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30261323$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wang, Tiebin</creatorcontrib><creatorcontrib>Dunlop, Mary J</creatorcontrib><title>Controlling and exploiting cell-to-cell variation in metabolic engineering</title><title>Current opinion in biotechnology</title><addtitle>Curr Opin Biotechnol</addtitle><description>[Display omitted]
•Cell-to-cell variation can have a significant impact on metabolic engineering.•Strategies for controlling or even exploiting variation can improve production.•New technologies for quantifying variation will enable innovative approaches.
Individual cells within a population can display diverse phenotypes due to differences in their local environment, genetic variation, and stochastic expression of genes. Understanding this cell-to-cell variation is important for metabolic engineering applications because variability can impact production. For instance, recent studies have shown that production can be highly heterogeneous among engineered cells, and strategies that manage this diversity improve yields of biosynthetic products. These results suggest the potential of controlling variation as a novel approach towards improving performance of engineered cells. In this review, we focus on identifying the origins of cell-to-cell variation in metabolic engineering applications and discuss recent developments on strategies that can be employed to diminish, accept, or even exploit cell-to-cell variation.</description><subject>Cells - metabolism</subject><subject>Metabolic Engineering - methods</subject><subject>Models, Biological</subject><issn>0958-1669</issn><issn>1879-0429</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kE1LxDAQhoMo7rr6D0R69NKar6bNRZDFTxa86Dmk6XTJ0iY16Yr-e1u6ehReGAaemXnnReiS4IxgIm52mfF9ZX1GMSkzPIqwI7QkZSFTzKk8Rkss8zIlQsgFOotxhzHOWYFP0YJhKgijbIle1t4NwbetddtEuzqBr771dphaA22bDj6davKpg9WD9S6xLulg0JVvrUnAba0DCCN_jk4a3Ua4ONQVen-4f1s_pZvXx-f13SY1TNAh5Y0mnORQ8ApyybXReUmp5qUotKY5rhtWC9JITaWUhmNdMVEKTcpqNC2bnK3Q9by3D_5jD3FQnY2TR-3A76OihHAhcV6UI8pn1AQfY4BG9cF2OnwrgtWUotqpOUU1pajwKMLGsavDhX3VQf039BvbCNzOAIx_floIKhoLzkBtA5hB1d7-f-EH44uFBw</recordid><startdate>201906</startdate><enddate>201906</enddate><creator>Wang, Tiebin</creator><creator>Dunlop, Mary J</creator><general>Elsevier Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-9261-8216</orcidid></search><sort><creationdate>201906</creationdate><title>Controlling and exploiting cell-to-cell variation in metabolic engineering</title><author>Wang, Tiebin ; Dunlop, Mary J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c362t-4fa1415e74be594aca5822a4867aa250df3d61f9a2999c40ab3686a18b0269f53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Cells - metabolism</topic><topic>Metabolic Engineering - methods</topic><topic>Models, Biological</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Tiebin</creatorcontrib><creatorcontrib>Dunlop, Mary J</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Current opinion in biotechnology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Tiebin</au><au>Dunlop, Mary J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Controlling and exploiting cell-to-cell variation in metabolic engineering</atitle><jtitle>Current opinion in biotechnology</jtitle><addtitle>Curr Opin Biotechnol</addtitle><date>2019-06</date><risdate>2019</risdate><volume>57</volume><spage>10</spage><epage>16</epage><pages>10-16</pages><issn>0958-1669</issn><eissn>1879-0429</eissn><abstract>[Display omitted]
•Cell-to-cell variation can have a significant impact on metabolic engineering.•Strategies for controlling or even exploiting variation can improve production.•New technologies for quantifying variation will enable innovative approaches.
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title | Controlling and exploiting cell-to-cell variation in metabolic engineering |
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