A framework for calculating orthogonal selectivities in multimodal systems directly from cell culture fluid
This paper presents a straightforward approach for measuring and quantifying orthogonality directly in complex cell culture fluids (CCFs) without the requirement for tracking the retention behaviors of large sets of proteins. Null‐producing CCFs were fractionated using linear salt gradients at const...
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Veröffentlicht in: | Biotechnology and bioengineering 2022-01, Vol.119 (1), p.299-314 |
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description | This paper presents a straightforward approach for measuring and quantifying orthogonality directly in complex cell culture fluids (CCFs) without the requirement for tracking the retention behaviors of large sets of proteins. Null‐producing CCFs were fractionated using linear salt gradients at constant pH on a set of multimodal resins. Fractions were then analyzed by ultraperformance‐reversed phase liquid chromatography and the resulting chromatograms provided host cell protein (HCP) “fingerprints.” Using these fingerprints, an inner product vector‐based approach was employed to quantify the degree of orthogonality between pairs of resins and operating conditions for these large HCP protein sets. To compare resin orthogonality behavior in different expression systems, the Chinese hamster ovary and Pichia pastoris null‐producing CCFs were examined. Orthogonality in multimodal systems was found to strongly depend on the expression system and the HCPs being screened. We also identified several unexpected pairs of multimodal resins within the same family that exhibited significant orthogonality. Furthermore, “self‐orthogonality” was evaluated between resins operated at different pHs, and important operating regimes were identified for maximizing orthogonal selectivities. The framework developed in this paper for calculating orthogonality without the need for labor‐intensive HCP tracking has important implications for efficient process development and resin/operating condition selection for both monoclonal antibody (mAb) polishing steps and non‐mAb processes. In addition, this study provides a tool to unlock the untapped potential of multimodal resins by aiding in their rational selection and incorporation. Finally, the orthogonality framework here can facilitate the development of sets of next‐generation multimodal resins specifically designed to provide highly orthogonal and efficient separations tailored for different expression systems.
The authors present a straightforward approach for measuring and quantifying orthogonality directly in complex cell culture fluids without the requirement for tracking the retention behaviors of large numbers of proteins. |
doi_str_mv | 10.1002/bit.27977 |
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The authors present a straightforward approach for measuring and quantifying orthogonality directly in complex cell culture fluids without the requirement for tracking the retention behaviors of large numbers of proteins.</description><subject>Animals</subject><subject>Cell culture</subject><subject>Cell Culture Techniques - methods</subject><subject>CHO Cells</subject><subject>Chromatography, High Pressure Liquid - methods</subject><subject>Chromatography, Reverse-Phase - methods</subject><subject>Cricetinae</subject><subject>Cricetulus</subject><subject>Culture Media - chemistry</subject><subject>Fingerprints</subject><subject>Fractions</subject><subject>HCP protein</subject><subject>high throughput process development</subject><subject>High-Throughput Screening Assays - methods</subject><subject>Hydrogen-Ion Concentration</subject><subject>Liquid chromatography</subject><subject>Mathematical analysis</subject><subject>Monoclonal antibodies</subject><subject>multimodal</subject><subject>Orthogonality</subject><subject>process development tool</subject><subject>protein chromatography</subject><subject>Proteins</subject><subject>Recombinant Proteins - analysis</subject><subject>Recombinant Proteins - chemistry</subject><subject>Recombinant Proteins - isolation & purification</subject><subject>resin design tool</subject><subject>Resins</subject><subject>Saccharomycetales</subject><subject>Tracking</subject><issn>0006-3592</issn><issn>1097-0290</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kU1PGzEQhi1UBClw6B-oLPXSHjaM7ezae4SoH0hIXHJfeb3j4OCNqe0F5d_jEOihEqfRaB49mpmXkC8M5gyAX_Yuz7lspTwiMwatrIC38InMAKCpRN3yU_I5pU1ppWqaE3IqFpIJ1YoZebiiNuoRn0N8oDZEarQ3k9fZbdc0xHwf1mGrPU3o0WT35LLDRN2WjpPPbgzDfrZLGcdEBxcL43fFGEZq0HtaVHmKSK2f3HBOjq32CS_e6hlZ_fq5Wv6pbu9-3yyvbisjaiErrbixdgDbCFBMWrS44HUNnKteM7DlBqtVbzhKMZjB1hz7QUOjAJWqhTgj3w_axxj-TphyN7q030ZvMUyp43ULjEO7YAX99h-6CVMs9xaqgQZko5Qq1I8DZWJIKaLtHqMbddx1DLp9AF0JoHsNoLBf34xTP-Lwj3z_eAEuD8Cz87j72NRd36wOyhe4JpFv</recordid><startdate>202201</startdate><enddate>202201</enddate><creator>Vecchiarello, Nicholas</creator><creator>Timmick, Steven M.</creator><creator>Cramer, Steven</creator><general>Wiley Subscription Services, Inc</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>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7T7</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-4635-5221</orcidid></search><sort><creationdate>202201</creationdate><title>A framework for calculating orthogonal selectivities in multimodal systems directly from cell culture fluid</title><author>Vecchiarello, Nicholas ; Timmick, Steven M. ; Cramer, Steven</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3537-a82cffd0f630817fefe42550228ba10f786fa8bc2e73dcdf52ebda0680e88533</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Animals</topic><topic>Cell culture</topic><topic>Cell Culture Techniques - methods</topic><topic>CHO Cells</topic><topic>Chromatography, High Pressure Liquid - methods</topic><topic>Chromatography, Reverse-Phase - methods</topic><topic>Cricetinae</topic><topic>Cricetulus</topic><topic>Culture Media - chemistry</topic><topic>Fingerprints</topic><topic>Fractions</topic><topic>HCP protein</topic><topic>high throughput process development</topic><topic>High-Throughput Screening Assays - methods</topic><topic>Hydrogen-Ion Concentration</topic><topic>Liquid chromatography</topic><topic>Mathematical analysis</topic><topic>Monoclonal antibodies</topic><topic>multimodal</topic><topic>Orthogonality</topic><topic>process development tool</topic><topic>protein chromatography</topic><topic>Proteins</topic><topic>Recombinant Proteins - analysis</topic><topic>Recombinant Proteins - chemistry</topic><topic>Recombinant Proteins - isolation & purification</topic><topic>resin design tool</topic><topic>Resins</topic><topic>Saccharomycetales</topic><topic>Tracking</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Vecchiarello, Nicholas</creatorcontrib><creatorcontrib>Timmick, Steven M.</creatorcontrib><creatorcontrib>Cramer, Steven</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Biotechnology and bioengineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Vecchiarello, Nicholas</au><au>Timmick, Steven M.</au><au>Cramer, Steven</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A framework for calculating orthogonal selectivities in multimodal systems directly from cell culture fluid</atitle><jtitle>Biotechnology and bioengineering</jtitle><addtitle>Biotechnol Bioeng</addtitle><date>2022-01</date><risdate>2022</risdate><volume>119</volume><issue>1</issue><spage>299</spage><epage>314</epage><pages>299-314</pages><issn>0006-3592</issn><eissn>1097-0290</eissn><abstract>This paper presents a straightforward approach for measuring and quantifying orthogonality directly in complex cell culture fluids (CCFs) without the requirement for tracking the retention behaviors of large sets of proteins. Null‐producing CCFs were fractionated using linear salt gradients at constant pH on a set of multimodal resins. Fractions were then analyzed by ultraperformance‐reversed phase liquid chromatography and the resulting chromatograms provided host cell protein (HCP) “fingerprints.” Using these fingerprints, an inner product vector‐based approach was employed to quantify the degree of orthogonality between pairs of resins and operating conditions for these large HCP protein sets. To compare resin orthogonality behavior in different expression systems, the Chinese hamster ovary and Pichia pastoris null‐producing CCFs were examined. Orthogonality in multimodal systems was found to strongly depend on the expression system and the HCPs being screened. We also identified several unexpected pairs of multimodal resins within the same family that exhibited significant orthogonality. Furthermore, “self‐orthogonality” was evaluated between resins operated at different pHs, and important operating regimes were identified for maximizing orthogonal selectivities. The framework developed in this paper for calculating orthogonality without the need for labor‐intensive HCP tracking has important implications for efficient process development and resin/operating condition selection for both monoclonal antibody (mAb) polishing steps and non‐mAb processes. In addition, this study provides a tool to unlock the untapped potential of multimodal resins by aiding in their rational selection and incorporation. Finally, the orthogonality framework here can facilitate the development of sets of next‐generation multimodal resins specifically designed to provide highly orthogonal and efficient separations tailored for different expression systems.
The authors present a straightforward approach for measuring and quantifying orthogonality directly in complex cell culture fluids without the requirement for tracking the retention behaviors of large numbers of proteins.</abstract><cop>United States</cop><pub>Wiley Subscription Services, Inc</pub><pmid>34713893</pmid><doi>10.1002/bit.27977</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0003-4635-5221</orcidid></addata></record> |
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subjects | Animals Cell culture Cell Culture Techniques - methods CHO Cells Chromatography, High Pressure Liquid - methods Chromatography, Reverse-Phase - methods Cricetinae Cricetulus Culture Media - chemistry Fingerprints Fractions HCP protein high throughput process development High-Throughput Screening Assays - methods Hydrogen-Ion Concentration Liquid chromatography Mathematical analysis Monoclonal antibodies multimodal Orthogonality process development tool protein chromatography Proteins Recombinant Proteins - analysis Recombinant Proteins - chemistry Recombinant Proteins - isolation & purification resin design tool Resins Saccharomycetales Tracking |
title | A framework for calculating orthogonal selectivities in multimodal systems directly from cell culture fluid |
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