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Biotherapeutic protein formulation variables influence protein integrity and can promote post-translational modifications as shown using chicken egg white lysozyme as a model system.

Gourbatsi, Evdoxia, Povey, Jane F., Uddin, Shahid, Smales, Christopher Mark (2016) Biotherapeutic protein formulation variables influence protein integrity and can promote post-translational modifications as shown using chicken egg white lysozyme as a model system. Biotechnology Letters, 38 (4). pp. 589-596. ISSN 0141-5492. E-ISSN 1573-6776. (doi:10.1007/s10529-015-2014-y) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:54863)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://doi.org/10.1007/s10529-015-2014-y

Abstract

Objectives

The effect of different formulations variables on protein integrity were investigated using lysozyme as a model protein for the development of biotherapeutic protein formulations for use in the clinic.

Results

Buffer composition/concentration was the key variable of formulation reagents investigated in determining lysozyme stability and authenticity independent of protein concentration whilst the storage temperature and time, not surprisingly, were also key variables. Tryptic peptide mapping of the protein showed that the modifications occurred when formulated under specific conditions but not others. A model peptide system was developed that reflected the same behavior under formulation conditions as intact lysozyme.

Conclusions

Peptide models may mirror the stability of proteins, or regions of proteins, in the same formulations and be used to help develop a rapid screen of formulations for stabilisation of biotherapeutic proteins.

Item Type: Article
DOI/Identification number: 10.1007/s10529-015-2014-y
Uncontrolled keywords: Protein formulation; Mass spectrometry; Post-translational modification; Aggregation; Peptide model;
Subjects: Q Science
Divisions: Divisions > Division of Natural Sciences > Biosciences
Depositing User: Mark Smales
Date Deposited: 11 Apr 2016 09:07 UTC
Last Modified: 17 Aug 2022 12:20 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/54863 (The current URI for this page, for reference purposes)

University of Kent Author Information

Povey, Jane F..

Creator's ORCID:
CReDIT Contributor Roles:

Smales, Christopher Mark.

Creator's ORCID: https://orcid.org/0000-0002-2762-4724
CReDIT Contributor Roles:
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