Literature DB >> 29890127

Identification of adeno-associated virus capsid proteins using ZipChip CE/MS.

Yun Zhang1, Yan Wang2, Zoran Sosic2, Li Zang2, Svetlana Bergelson2, Wei Zhang2.   

Abstract

A simple and rapid identity test of adeno-associated virus (AAV) serotypes is important for supporting the AAV gene therapy development, as it relates to its efficacy and safety. The current mass spectrometry-based identity tests require extensive sample preparation steps, relatively large sample quantities and long analysis time. Herein, we describe a simple and novel microfluidic ZipChip CE/MS method used to characterize AAV capsid proteins. The three capsid proteins of AAV2 were separated and identified within 4 min using 5 nL of sample directly from a polysorbate-containing formulation buffer. This rapid method can be suitable to confirm AAV serotype identity.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Adeno-associated virus; Gene therapy; Identity test; Intact mass analysis; Serotype; ZipChip CE/MS

Mesh:

Substances:

Year:  2018        PMID: 29890127     DOI: 10.1016/j.ab.2018.06.006

Source DB:  PubMed          Journal:  Anal Biochem        ISSN: 0003-2697            Impact factor:   3.365


  4 in total

1.  Microfluidic capillary zone electrophoresis mass spectrometry analysis of alkaloids in Lobelia cardinalis transgenic and mutant plant cell cultures.

Authors:  Zachary D Kelley; D Trent Rogers; John M Littleton; Bert C Lynn
Journal:  Electrophoresis       Date:  2019-10-04       Impact factor: 3.535

Review 2.  Analytical methods to characterize recombinant adeno-associated virus vectors and the benefit of standardization and reference materials.

Authors:  Erica A Green; Kelvin H Lee
Journal:  Curr Opin Biotechnol       Date:  2021-07-15       Impact factor: 10.279

Review 3.  MASS SPECTROMETRY IN VIROLOGICAL SCIENCES.

Authors:  Aleksandra Milewska; Joanna Ner-Kluza; Agnieszka Dabrowska; Anna Bodzon-Kulakowska; Krzysztof Pyrc; Piotr Suder
Journal:  Mass Spectrom Rev       Date:  2019-12-25       Impact factor: 9.011

Review 4.  Smart materials-integrated sensor technologies for COVID-19 diagnosis.

Authors:  Özgecan Erdem; Esma Derin; Kutay Sagdic; Eylul Gulsen Yilmaz; Fatih Inci
Journal:  Emergent Mater       Date:  2021-01-21
  4 in total

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