Literature DB >> 23383873

Rapid analysis of antibody self-association in complex mixtures using immunogold conjugates.

Shantanu V Sule1, Craig D Dickinson, Jirong Lu, Chi-Kin Chow, Peter M Tessier.   

Abstract

A key challenge in developing therapeutic antibodies is their highly variable propensities to self-associate at high antibody concentrations (>50 mg/mL) required for subcutaneous delivery. Identification of monoclonal antibodies (mAbs) in the initial discovery process that not only have high binding affinity but also have high solubility and low viscosity would simplify the development of safe and effective antibody therapeutics. Unfortunately, the low purities, small quantities and large numbers of antibody candidates during the early discovery process are incompatible with current methods of measuring antibody self-association. We report a method (affinity-capture self-interaction nanoparticle spectroscopy, AC-SINS) capable of identifying mAbs with low self-association propensity that is robust even at low mAb concentrations (5-50 μg/mL) and in the presence of cell culture media. Gold nanoparticles are coated with polyclonal antibodies specific for human antibodies, and then human mAbs are captured from dilute antibody solutions. We find that the wavelength of maximum absorbance (plasmon wavelength) of antibody-gold conjugates--which red-shifts as the distance between particles is reduced due to attractive mAb self-interactions--is well correlated with light scattering measurements conducted at several orders of magnitude higher antibody concentrations. The generality of AC-SINS makes it well suited for use in diverse settings ranging from antibody discovery to formulation development.

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Year:  2013        PMID: 23383873     DOI: 10.1021/mp300524x

Source DB:  PubMed          Journal:  Mol Pharm        ISSN: 1543-8384            Impact factor:   4.939


  28 in total

1.  High throughput detection of antibody self-interaction by bio-layer interferometry.

Authors:  Tingwan Sun; Felicia Reid; Yuqi Liu; Yuan Cao; Patricia Estep; Claire Nauman; Yingda Xu
Journal:  MAbs       Date:  2013-08-19       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.  A novel screening method to assess developability of antibody-like molecules.

Authors:  Neeraj Kohli; Nidhi Jain; Melissa L Geddie; Maja Razlog; Lihui Xu; Alexey A Lugovskoy
Journal:  MAbs       Date:  2015       Impact factor: 5.857

Review 4.  Structure, heterogeneity and developability assessment of therapeutic antibodies.

Authors:  Yingda Xu; Dongdong Wang; Bruce Mason; Tony Rossomando; Ning Li; Dingjiang Liu; Jason K Cheung; Wei Xu; Smita Raghava; Amit Katiyar; Christine Nowak; Tao Xiang; Diane D Dong; Joanne Sun; Alain Beck; Hongcheng Liu
Journal:  MAbs       Date:  2018-12-17       Impact factor: 5.857

5.  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

6.  High-throughput screening for developability during early-stage antibody discovery using self-interaction nanoparticle spectroscopy.

Authors:  Yuqi Liu; Isabelle Caffry; Jiemin Wu; Steven B Geng; Tushar Jain; Tingwan Sun; Felicia Reid; Yuan Cao; Patricia Estep; Yao Yu; Maximiliano Vásquez; Peter M Tessier; Yingda Xu
Journal:  MAbs       Date:  2013-12-06       Impact factor: 5.857

7.  Mitigation of reversible self-association and viscosity in a human IgG1 monoclonal antibody by rational, structure-guided Fv engineering.

Authors:  James C Geoghegan; Ryan Fleming; Melissa Damschroder; Steven M Bishop; Hasige A Sathish; Reza Esfandiary
Journal:  MAbs       Date:  2016-04-06       Impact factor: 5.857

8.  Parallel temperature-dependent microrheological measurements in a microfluidic chip.

Authors:  Lilian Lam Josephson; William J Galush; Eric M Furst
Journal:  Biomicrofluidics       Date:  2016-06-14       Impact factor: 2.800

9.  Establishing in vitro in vivo correlations to screen monoclonal antibodies for physicochemical properties related to favorable human pharmacokinetics.

Authors:  Lindsay B Avery; Jason Wade; Mengmeng Wang; Amy Tam; Amy King; Nicole Piche-Nicholas; Mania S Kavosi; Steve Penn; David Cirelli; Jeffrey C Kurz; Minlei Zhang; Orla Cunningham; Rhys Jones; Brian J Fennell; Barry McDonnell; Paul Sakorafas; James Apgar; William J Finlay; Laura Lin; Laird Bloom; Denise M O'Hara
Journal:  MAbs       Date:  2018-01-29       Impact factor: 5.857

10.  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

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