Automated linkage of proteins and payloads producing monodisperse conjugates
Controlled protein functionalization holds great promise for a wide variety of applications. However, despite intensive research, the stoichiometry of the functionalization reaction remains difficult to control due to the inherent stochasticity of the conjugation process. Classical approaches that e...
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Veröffentlicht in: | Chemical science (Cambridge) 2020, Vol.11 (5), p.121-1215 |
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creator | Dovgan, Igor Hentz, Alexandre Koniev, Oleksandr Ehkirch, Anthony Hessmann, Steve Ursuegui, Sylvain Delacroix, Sébastien Riomet, Margaux Taran, Frédéric Cianférani, Sarah Kolodych, Sergii Wagner, Alain |
description | Controlled protein functionalization holds great promise for a wide variety of applications. However, despite intensive research, the stoichiometry of the functionalization reaction remains difficult to control due to the inherent stochasticity of the conjugation process. Classical approaches that exploit peculiar structural features of specific protein substrates, or introduce reactive handles
via
mutagenesis, are by essence limited in scope or require substantial protein reengineering. We herein present equimolar native chemical tagging (ENACT), which precisely controls the stoichiometry of inherently random conjugation reactions by combining iterative low-conversion chemical modification, process automation, and bioorthogonal
trans
-tagging. We discuss the broad applicability of this conjugation process to a variety of protein substrates and payloads.
Controlled protein functionalization holds great promise for a wide variety of applications. |
doi_str_mv | 10.1039/c9sc05468e |
format | Article |
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via
mutagenesis, are by essence limited in scope or require substantial protein reengineering. We herein present equimolar native chemical tagging (ENACT), which precisely controls the stoichiometry of inherently random conjugation reactions by combining iterative low-conversion chemical modification, process automation, and bioorthogonal
trans
-tagging. We discuss the broad applicability of this conjugation process to a variety of protein substrates and payloads.
Controlled protein functionalization holds great promise for a wide variety of applications.</description><identifier>ISSN: 2041-6520</identifier><identifier>EISSN: 2041-6539</identifier><identifier>DOI: 10.1039/c9sc05468e</identifier><identifier>PMID: 34123245</identifier><language>eng</language><publisher>Cambridge: Royal Society of Chemistry</publisher><subject>Automation ; Chemical reactions ; Chemical Sciences ; Chemistry ; Conjugation ; Marking ; Organic chemistry ; Payloads ; Proteins ; Reengineering ; Stoichiometry ; Substrates</subject><ispartof>Chemical science (Cambridge), 2020, Vol.11 (5), p.121-1215</ispartof><rights>Copyright Royal Society of Chemistry 2020</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><rights>This journal is © The Royal Society of Chemistry 2020 The Royal Society of Chemistry</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c465t-d3629fafe3333cbb2a262541324ce2b9e6d61de9aaa73025d16a0a6e6c0682a03</citedby><cites>FETCH-LOGICAL-c465t-d3629fafe3333cbb2a262541324ce2b9e6d61de9aaa73025d16a0a6e6c0682a03</cites><orcidid>0000-0001-5963-361X ; 0000-0001-5461-329X ; 0000-0002-3506-5109 ; 0000-0003-3125-601X ; 0000-0003-4013-4129</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8148077/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8148077/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,4022,27921,27922,27923,53789,53791</link.rule.ids><backlink>$$Uhttps://hal.science/hal-02892245$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Dovgan, Igor</creatorcontrib><creatorcontrib>Hentz, Alexandre</creatorcontrib><creatorcontrib>Koniev, Oleksandr</creatorcontrib><creatorcontrib>Ehkirch, Anthony</creatorcontrib><creatorcontrib>Hessmann, Steve</creatorcontrib><creatorcontrib>Ursuegui, Sylvain</creatorcontrib><creatorcontrib>Delacroix, Sébastien</creatorcontrib><creatorcontrib>Riomet, Margaux</creatorcontrib><creatorcontrib>Taran, Frédéric</creatorcontrib><creatorcontrib>Cianférani, Sarah</creatorcontrib><creatorcontrib>Kolodych, Sergii</creatorcontrib><creatorcontrib>Wagner, Alain</creatorcontrib><title>Automated linkage of proteins and payloads producing monodisperse conjugates</title><title>Chemical science (Cambridge)</title><description>Controlled protein functionalization holds great promise for a wide variety of applications. However, despite intensive research, the stoichiometry of the functionalization reaction remains difficult to control due to the inherent stochasticity of the conjugation process. Classical approaches that exploit peculiar structural features of specific protein substrates, or introduce reactive handles
via
mutagenesis, are by essence limited in scope or require substantial protein reengineering. We herein present equimolar native chemical tagging (ENACT), which precisely controls the stoichiometry of inherently random conjugation reactions by combining iterative low-conversion chemical modification, process automation, and bioorthogonal
trans
-tagging. We discuss the broad applicability of this conjugation process to a variety of protein substrates and payloads.
Controlled protein functionalization holds great promise for a wide variety of applications.</description><subject>Automation</subject><subject>Chemical reactions</subject><subject>Chemical Sciences</subject><subject>Chemistry</subject><subject>Conjugation</subject><subject>Marking</subject><subject>Organic chemistry</subject><subject>Payloads</subject><subject>Proteins</subject><subject>Reengineering</subject><subject>Stoichiometry</subject><subject>Substrates</subject><issn>2041-6520</issn><issn>2041-6539</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9kc9LHDEUx4MoVayX3oURL21h2_yYZCYXYVlsLSx4aHsOb5M366wzyZjMCP73zXZlRQ--S8LLJ9_35X0J-cToN0aF_m51slSWqsYDcsJpyWZKCn24v3N6TM5S2tBcQjDJqw_kWJSMC17KE7KcT2PoYURXdK2_hzUWoSmGGEZsfSrAu2KApy6AS9uum2zr10UffHBtGjAmLGzwm2mdJdJHctRAl_Ds-Twlf39c_1nczJa3P38t5suZLZUcZ04orhtoUOSyqxUHrrgsWXZkka80KqeYQw0AlaBcOqaAgkJlqao5UHFKrna6w7Tq0Vn0Y4TODLHtIT6ZAK15_eLbO7MOj6ZmZU2rKgt82Qncvfl2M1-abY_yWvO8oEeW2c_Pw2J4mDCNpm-Txa4Dj2FKJjunFadKbdHLN-gmTNHnVRguJNU0j5eZ-rqjbAwpRWz2Dhg120zNQv9e_M_0OsMXOzgmu-deMjeDazJz_h4j_gE1_ae0</recordid><startdate>2020</startdate><enddate>2020</enddate><creator>Dovgan, Igor</creator><creator>Hentz, Alexandre</creator><creator>Koniev, Oleksandr</creator><creator>Ehkirch, Anthony</creator><creator>Hessmann, Steve</creator><creator>Ursuegui, Sylvain</creator><creator>Delacroix, Sébastien</creator><creator>Riomet, Margaux</creator><creator>Taran, Frédéric</creator><creator>Cianférani, Sarah</creator><creator>Kolodych, Sergii</creator><creator>Wagner, Alain</creator><general>Royal Society of Chemistry</general><general>The Royal Society of Chemistry</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>7X8</scope><scope>1XC</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-5963-361X</orcidid><orcidid>https://orcid.org/0000-0001-5461-329X</orcidid><orcidid>https://orcid.org/0000-0002-3506-5109</orcidid><orcidid>https://orcid.org/0000-0003-3125-601X</orcidid><orcidid>https://orcid.org/0000-0003-4013-4129</orcidid></search><sort><creationdate>2020</creationdate><title>Automated linkage of proteins and payloads producing monodisperse conjugates</title><author>Dovgan, Igor ; Hentz, Alexandre ; Koniev, Oleksandr ; Ehkirch, Anthony ; Hessmann, Steve ; Ursuegui, Sylvain ; Delacroix, Sébastien ; Riomet, Margaux ; Taran, Frédéric ; Cianférani, Sarah ; Kolodych, Sergii ; Wagner, Alain</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c465t-d3629fafe3333cbb2a262541324ce2b9e6d61de9aaa73025d16a0a6e6c0682a03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Automation</topic><topic>Chemical reactions</topic><topic>Chemical Sciences</topic><topic>Chemistry</topic><topic>Conjugation</topic><topic>Marking</topic><topic>Organic chemistry</topic><topic>Payloads</topic><topic>Proteins</topic><topic>Reengineering</topic><topic>Stoichiometry</topic><topic>Substrates</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dovgan, Igor</creatorcontrib><creatorcontrib>Hentz, Alexandre</creatorcontrib><creatorcontrib>Koniev, Oleksandr</creatorcontrib><creatorcontrib>Ehkirch, Anthony</creatorcontrib><creatorcontrib>Hessmann, Steve</creatorcontrib><creatorcontrib>Ursuegui, Sylvain</creatorcontrib><creatorcontrib>Delacroix, Sébastien</creatorcontrib><creatorcontrib>Riomet, Margaux</creatorcontrib><creatorcontrib>Taran, Frédéric</creatorcontrib><creatorcontrib>Cianférani, Sarah</creatorcontrib><creatorcontrib>Kolodych, Sergii</creatorcontrib><creatorcontrib>Wagner, Alain</creatorcontrib><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Chemical science (Cambridge)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dovgan, Igor</au><au>Hentz, Alexandre</au><au>Koniev, Oleksandr</au><au>Ehkirch, Anthony</au><au>Hessmann, Steve</au><au>Ursuegui, Sylvain</au><au>Delacroix, Sébastien</au><au>Riomet, Margaux</au><au>Taran, Frédéric</au><au>Cianférani, Sarah</au><au>Kolodych, Sergii</au><au>Wagner, Alain</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Automated linkage of proteins and payloads producing monodisperse conjugates</atitle><jtitle>Chemical science (Cambridge)</jtitle><date>2020</date><risdate>2020</risdate><volume>11</volume><issue>5</issue><spage>121</spage><epage>1215</epage><pages>121-1215</pages><issn>2041-6520</issn><eissn>2041-6539</eissn><abstract>Controlled protein functionalization holds great promise for a wide variety of applications. However, despite intensive research, the stoichiometry of the functionalization reaction remains difficult to control due to the inherent stochasticity of the conjugation process. Classical approaches that exploit peculiar structural features of specific protein substrates, or introduce reactive handles
via
mutagenesis, are by essence limited in scope or require substantial protein reengineering. We herein present equimolar native chemical tagging (ENACT), which precisely controls the stoichiometry of inherently random conjugation reactions by combining iterative low-conversion chemical modification, process automation, and bioorthogonal
trans
-tagging. We discuss the broad applicability of this conjugation process to a variety of protein substrates and payloads.
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subjects | Automation Chemical reactions Chemical Sciences Chemistry Conjugation Marking Organic chemistry Payloads Proteins Reengineering Stoichiometry Substrates |
title | Automated linkage of proteins and payloads producing monodisperse conjugates |
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