Literature DB >> 23212746

High-throughput melting-temperature analysis of a monoclonal antibody by differential scanning fluorimetry in the presence of surfactants.

Tim Menzen1, Wolfgang Friess.   

Abstract

Differential scanning fluorimetry (DSF) is successfully used as a high-throughput screening method for the analysis of the protein melting temperature (T(m)) in the development of therapeutic monoclonal antibody (MAb) formulations. Typically, surfactants are utilized in MAb formulations as a stabilizer, but the commonly applied polarity-sensitive dye SYPRO® Orange shows bright fluorescence in the presence of micelles, concealing the signal of protein unfolding. Studying various MAb formulations containing polysorbate 20, polysorbate 80, or poloxamer 188 (PX 188), the molecular rotor probe 4-(dicyanovinyl)julolidine (DCVJ) was investigated. Although limited to higher MAb concentrations, DCVJ enabled the determination of T(m) in many formulations where SYPRO® Orange failed. It is important to note that careful background correction of placebo formulations is essential for the precise determination of T(m) and especially T(m onset). Thermal shifts of T(m1) (lowest observed thermal transition) indicating stabilizing or destabilizing effects of pH or excipient were in good agreement across all tested formulations and correlated well with differential scanning calorimetry measurements. Additionally, the micellization temperature of PX 188 was confirmed, which leads to a nonproteinous transition. With this new method, it is possible to apply DSF during the development of therapeutic proteins in surfactant-containing formulations.
Copyright © 2012 Wiley Periodicals, Inc.

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Year:  2012        PMID: 23212746     DOI: 10.1002/jps.23405

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  16 in total

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Authors:  Rajoshi Chaudhuri; Yuan Cheng; C Russell Middaugh; David B Volkin
Journal:  AAPS J       Date:  2013-10-31       Impact factor: 4.009

2.  Indirect Detection of Ligand Binding by Thermal Melt Analysis.

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3.  Experimental Model System to Study pH Shift-Induced Aggregation of Monoclonal Antibodies Under Controlled Conditions.

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4.  High Throughput Differential Scanning Fluorimetry (DSF) Formulation Screening with Complementary Dyes to Assess Protein Unfolding and Aggregation in Presence of Surfactants.

Authors:  Sean M McClure; Patrick L Ahl; Jeffrey T Blue
Journal:  Pharm Res       Date:  2018-03-05       Impact factor: 4.200

5.  Phase-Appropriate Application of Analytical Methods to Monitor Subvisible Particles Across the Biotherapeutic Drug Product Life Cycle.

Authors:  Roman Mathaes; Linda Narhi; Andrea Hawe; Anja Matter; Karoline Bechtold-Peters; Sophia Kenrick; Sambit Kar; Olga Laskina; John Carpenter; Richard Cavicchi; Ellen Koepf; E Neil Lewis; Rukman De Silva; Dean Ripple
Journal:  AAPS J       Date:  2019-10-30       Impact factor: 4.009

6.  Comparative functional analysis of ribonuclease 1 homologs: molecular insights into evolving vertebrate physiology.

Authors:  Jo E Lomax; Chelcie H Eller; Ronald T Raines
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7.  A novel differential scanning fluorimetry analysis of a humanized anti-cocaine mAb and its ligand binding characteristics.

Authors:  Terence L Kirley; Andrew B Norman; Hanna N Wetzel
Journal:  J Immunol Methods       Date:  2019-10-18       Impact factor: 2.303

Review 8.  Recent developments in the use of differential scanning fluorometry in protein and small molecule discovery and characterization.

Authors:  Anton Simeonov
Journal:  Expert Opin Drug Discov       Date:  2013-06-06       Impact factor: 6.098

9.  Functional evolution of ribonuclease inhibitor: insights from birds and reptiles.

Authors:  Jo E Lomax; Christopher M Bianchetti; Aram Chang; George N Phillips; Brian G Fox; Ronald T Raines
Journal:  J Mol Biol       Date:  2014-06-15       Impact factor: 5.469

10.  Bovine brain ribonuclease is the functional homolog of human ribonuclease 1.

Authors:  Chelcie H Eller; Jo E Lomax; Ronald T Raines
Journal:  J Biol Chem       Date:  2014-07-30       Impact factor: 5.157

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