Literature DB >> 25097914

Plasmonic measurements of monoclonal antibody self-association using self-interaction nanoparticle spectroscopy.

Jayapriya Jayaraman, Jiemin Wu, Molly C Brunelle, Anna Marie M Cruz, Deborah S Goldberg, Brian Lobo, Ambarish Shah, Peter M Tessier.   

Abstract

One of the most significant challenges in developing therapeutic monoclonal antibodies (mAbs) is their unpredictable solubilities and viscosities at the high concentrations required for subcutaneous delivery. This challenge has motivated the development of screening assays that rapidly identify mAb variants with minimal self-association propensities and/or formulation conditions that suppress mAb self-association. Here we report an improved version of self-interaction nanoparticle spectroscopy (SINS)capable of characterizing both repulsive and attractive self-interactions between diverse mAbs. The basis of SINS is that self-interactions between mAbs immobilized on gold nanoparticles increase (repulsion) or decrease (attraction)interparticle distances, which shift the wavelength of maximum absorbance (plasmon wavelength) in opposite directions.We find that the robustness of SINS is improved by varying the amount of immobilized mAb by co-adsorbing a polyclonal antibody. The slopes of the plasmon wavelength shifts as a function of the amount of immobilized mAb (0.01–0.1 mg/mL) are correlated with diffusion interaction parameters measured at two to three orders of magnitude higher antibody concentrations. The ability of SINS to rapidly screen mAb self-association in a microplate format using dilute mAb solutions makes it well suited for use in diverse settings ranging from antibody discovery to formulation.

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Year:  2014        PMID: 25097914     DOI: 10.1002/bit.25221

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  12 in total

Review 1.  Molecular basis of high viscosity in concentrated antibody solutions: Strategies for high concentration drug product development.

Authors:  Dheeraj S Tomar; Sandeep Kumar; Satish K Singh; Sumit Goswami; Li Li
Journal:  MAbs       Date:  2016-01-06       Impact factor: 5.857

2.  Reduction of Nonspecificity Motifs in Synthetic Antibody Libraries.

Authors:  Ryan L Kelly; Doris Le; Jessie Zhao; K Dane Wittrup
Journal:  J Mol Biol       Date:  2017-11-26       Impact factor: 5.469

3.  Rational design of viscosity reducing mutants of a monoclonal antibody: hydrophobic versus electrostatic inter-molecular interactions.

Authors:  Pilarin Nichols; Li Li; Sandeep Kumar; Patrick M Buck; Satish K Singh; Sumit Goswami; Bryan Balthazor; Tami R Conley; David Sek; Martin J Allen
Journal:  MAbs       Date:  2015       Impact factor: 5.857

4.  Biophysical properties of the clinical-stage antibody landscape.

Authors:  Tushar Jain; Tingwan Sun; Stéphanie Durand; Amy Hall; Nga Rewa Houston; Juergen H Nett; Beth Sharkey; Beata Bobrowicz; Isabelle Caffry; Yao Yu; Yuan Cao; Heather Lynaugh; Michael Brown; Hemanta Baruah; Laura T Gray; Eric M Krauland; Yingda Xu; Maximiliano Vásquez; K Dane Wittrup
Journal:  Proc Natl Acad Sci U S A       Date:  2017-01-17       Impact factor: 11.205

5.  In Silico Prediction of Diffusion Interaction Parameter (kD), a Key Indicator of Antibody Solution Behaviors.

Authors:  Dheeraj S Tomar; Satish K Singh; Li Li; Matthew P Broulidakis; Sandeep Kumar
Journal:  Pharm Res       Date:  2018-08-20       Impact factor: 4.200

6.  Use of Debye-Hückel-Henry charge measurements in early antibody development elucidates effects of non-specific association.

Authors:  Joshua R Laber; Thomas M Laue; Dana I Filoti
Journal:  Antib Ther       Date:  2022-07-28

7.  Target-independent variable region mediated effects on antibody clearance can be FcRn independent.

Authors:  Ryan L Kelly; Yao Yu; Tingwan Sun; Isabelle Caffry; Heather Lynaugh; Michael Brown; Tushar Jain; Yingda Xu; K Dane Wittrup
Journal:  MAbs       Date:  2016-09-09       Impact factor: 5.857

Review 8.  Improving monoclonal antibody selection and engineering using measurements of colloidal protein interactions.

Authors:  Steven B Geng; Jason K Cheung; Chakravarthy Narasimhan; Mohammed Shameem; Peter M Tessier
Journal:  J Pharm Sci       Date:  2014-09-10       Impact factor: 3.534

9.  High throughput cross-interaction measures for human IgG1 antibodies correlate with clearance rates in mice.

Authors:  Ryan L Kelly; Tingwan Sun; Tushar Jain; Isabelle Caffry; Yao Yu; Yuan Cao; Heather Lynaugh; Michael Brown; Maximiliano Vásquez; K Dane Wittrup; Yingda Xu
Journal:  MAbs       Date:  2015       Impact factor: 5.857

10.  An alternative assay to hydrophobic interaction chromatography for high-throughput characterization of monoclonal antibodies.

Authors:  Patricia Estep; Isabelle Caffry; Yao Yu; Tingwan Sun; Yuan Cao; Heather Lynaugh; Tushar Jain; Maximiliano Vásquez; Peter M Tessier; Yingda Xu
Journal:  MAbs       Date:  2015       Impact factor: 5.857

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