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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Current opinion in biotechnology 2019-06, Vol.57, p.10-16
Hauptverfasser: Wang, Tiebin, Dunlop, Mary J
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 16
container_issue
container_start_page 10
container_title Current opinion in biotechnology
container_volume 57
creator Wang, Tiebin
Dunlop, Mary J
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.
doi_str_mv 10.1016/j.copbio.2018.08.013
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2114690578</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0958166918300909</els_id><sourcerecordid>2114690578</sourcerecordid><originalsourceid>FETCH-LOGICAL-c362t-4fa1415e74be594aca5822a4867aa250df3d61f9a2999c40ab3686a18b0269f53</originalsourceid><addsrcrecordid>eNp9kE1LxDAQhoMo7rr6D0R69NKar6bNRZDFTxa86Dmk6XTJ0iY16Yr-e1u6ehReGAaemXnnReiS4IxgIm52mfF9ZX1GMSkzPIqwI7QkZSFTzKk8Rkss8zIlQsgFOotxhzHOWYFP0YJhKgijbIle1t4NwbetddtEuzqBr771dphaA22bDj6davKpg9WD9S6xLulg0JVvrUnAba0DCCN_jk4a3Ua4ONQVen-4f1s_pZvXx-f13SY1TNAh5Y0mnORQ8ApyybXReUmp5qUotKY5rhtWC9JITaWUhmNdMVEKTcpqNC2bnK3Q9by3D_5jD3FQnY2TR-3A76OihHAhcV6UI8pn1AQfY4BG9cF2OnwrgtWUotqpOUU1pajwKMLGsavDhX3VQf039BvbCNzOAIx_floIKhoLzkBtA5hB1d7-f-EH44uFBw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2114690578</pqid></control><display><type>article</type><title>Controlling and exploiting cell-to-cell variation in metabolic engineering</title><source>MEDLINE</source><source>Access via ScienceDirect (Elsevier)</source><creator>Wang, Tiebin ; Dunlop, Mary J</creator><creatorcontrib>Wang, Tiebin ; Dunlop, Mary J</creatorcontrib><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><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. 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.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>30261323</pmid><doi>10.1016/j.copbio.2018.08.013</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0002-9261-8216</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0958-1669
ispartof Current opinion in biotechnology, 2019-06, Vol.57, p.10-16
issn 0958-1669
1879-0429
language eng
recordid cdi_proquest_miscellaneous_2114690578
source MEDLINE; Access via ScienceDirect (Elsevier)
subjects Cells - metabolism
Metabolic Engineering - methods
Models, Biological
title Controlling and exploiting cell-to-cell variation in metabolic engineering
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-22T13%3A33%3A58IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Controlling%20and%20exploiting%20cell-to-cell%20variation%20in%20metabolic%20engineering&rft.jtitle=Current%20opinion%20in%20biotechnology&rft.au=Wang,%20Tiebin&rft.date=2019-06&rft.volume=57&rft.spage=10&rft.epage=16&rft.pages=10-16&rft.issn=0958-1669&rft.eissn=1879-0429&rft_id=info:doi/10.1016/j.copbio.2018.08.013&rft_dat=%3Cproquest_cross%3E2114690578%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2114690578&rft_id=info:pmid/30261323&rft_els_id=S0958166918300909&rfr_iscdi=true