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dc.contributor.authorSun, Tingwan
dc.contributor.authorJain, Tushar
dc.contributor.authorCaffry, Isabelle
dc.contributor.authorYu, Yao
dc.contributor.authorLynaugh, Heather
dc.contributor.authorBrown, Michael
dc.contributor.authorXu, Yingda
dc.contributor.authorKelly, Ryan Lewis
dc.contributor.authorVasquez, Maximiliano
dc.contributor.authorWittrup, Karl Dane
dc.contributor.authorCao, Yuan,Ph. D.Massachusetts Institute of Technology.
dc.date.accessioned2016-02-29T15:11:51Z
dc.date.available2016-02-29T15:11:51Z
dc.date.issued2015-06
dc.date.submitted2015-03
dc.identifier.issn1942-0862
dc.identifier.issn1942-0870
dc.identifier.urihttp://hdl.handle.net/1721.1/101373
dc.description.abstractAlthough improvements in technology for the isolation of potential therapeutic antibodies have made the process increasingly predictable, the development of biologically active monoclonal antibodies (mAbs) into drugs can often be impeded by developability issues such as poor expression, solubility, and promiscuous cross-reactivity. Establishing early stage developability screening assays capable of predicting late stage behavior is therefore of high value to minimize development risks. Toward this goal, we selected a panel of 16 monoclonal antibodies (mAbs) representing different developability profiles, in terms of self- and cross-interaction propensity, and examined their downstream behavior from expression titer to accelerated stability and pharmacokinetics in mice. Clearance rates showed significant rank-order correlations to 2 cross-interaction related assays, with the closest correlation to a non-specificity assay on the surface of yeast. Additionally, 2 self-association assays correlated with each other but not to mouse clearance rate. This case study suggests that combining assays capable of high throughput screening of self- and cross-interaction early in the discovery stage could significantly lower downstream development risks.en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (National Institute of General Medical Sciences (U.S.) Interdepartmental Biotechnology Training Program T32 GM008334-25)en_US
dc.language.isoen_US
dc.publisherLandes Bioscienceen_US
dc.relation.isversionofhttp://dx.doi.org/10.1080/19420862.2015.1043503en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en_US
dc.sourceLandes Bioscienceen_US
dc.titleHigh throughput cross-interaction measures for human IgG1 antibodies correlate with clearance rates in miceen_US
dc.typeArticleen_US
dc.identifier.citationKelly, Ryan L, Tingwan Sun, Tushar Jain, Isabelle Caffry, Yao Yu, Yuan Cao, Heather Lynaugh, et al. “High Throughput Cross-Interaction Measures for Human IgG1 Antibodies Correlate with Clearance Rates in Mice.” mAbs 7, no. 4 (May 27, 2015): 770–777.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemical Engineeringen_US
dc.contributor.departmentKoch Institute for Integrative Cancer Research at MITen_US
dc.contributor.mitauthorKelly, Ryan Lewisen_US
dc.contributor.mitauthorWittrup, Karl Daneen_US
dc.relation.journalmAbsen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsKelly, Ryan L; Sun, Tingwan; Jain, Tushar; Caffry, Isabelle; Yu, Yao; Cao, Yuan; Lynaugh, Heather; Brown, Michael; Vásquez, Maximiliano; Wittrup, K Dane; Xu, Yingdaen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-2398-5896
dc.identifier.orcidhttps://orcid.org/0000-0001-5003-9104
mit.licensePUBLISHER_CCen_US
mit.metadata.statusComplete


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