Nano differential scanning fluorimetry for comparability studies of therapeutic proteins.


Journal

Analytical biochemistry
ISSN: 1096-0309
Titre abrégé: Anal Biochem
Pays: United States
ID NLM: 0370535

Informations de publication

Date de publication:
15 03 2020
Historique:
received: 11 10 2019
revised: 07 01 2020
accepted: 10 01 2020
pubmed: 15 1 2020
medline: 13 1 2021
entrez: 15 1 2020
Statut: ppublish

Résumé

Differential scanning calorimetry (DSC) has been extensively used in the biopharmaceutical industry to characterize protein thermal stability and domain folding integrity. Recently, nano differential scanning fluorimetry (nanoDSF) has emerged as a powerful tool for thermal stability analysis and studies of protein domain unfolding. Due to increased interests in the qualification of characterization methods, we are in this study presenting the qualification results for the comparability studies of thermal stability analysis using nanoDSF. The results show that nanoDSF is able to detect thermal transition signals for mAbs, BiTE® molecules, and cytokines at a wide concentration range with high precision, clearly indicating that nanoDSF is suitable for characterization including comparability studies of therapeutic proteins. Compared to the current recognized industry standard DSC, the nanoDSF method enables thermal stability analysis over a much wider concentration range, consumes considerably less materials, and provides significantly higher throughput.

Identifiants

pubmed: 31935356
pii: S0003-2697(19)31005-X
doi: 10.1016/j.ab.2020.113581
pii:
doi:

Substances chimiques

Antibodies, Monoclonal 0
Cytokines 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

113581

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

Auteurs

Jie Wen (J)

Higher Order Structure, Attribute Sciences, Thousand Oaks, CA, 91320, United States. Electronic address: jwen@amgen.com.

Harrison Lord (H)

Higher Order Structure, Attribute Sciences, Thousand Oaks, CA, 91320, United States.

Nicholas Knutson (N)

Higher Order Structure, Attribute Sciences, Thousand Oaks, CA, 91320, United States.

Mats Wikström (M)

Higher Order Structure, Attribute Sciences, Thousand Oaks, CA, 91320, United States. Electronic address: matsw@amgen.com.

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Classifications MeSH