Peptide ligands for the affinity purification of adenovirus from HEK293 and vero cell lysates.

Adenovirus Affinity chromatography Gene therapy Peptide ligands Viral vectors

Journal

Journal of chromatography. A
ISSN: 1873-3778
Titre abrégé: J Chromatogr A
Pays: Netherlands
ID NLM: 9318488

Informations de publication

Date de publication:
25 Sep 2024
Historique:
received: 15 08 2024
revised: 09 09 2024
accepted: 24 09 2024
medline: 30 9 2024
pubmed: 30 9 2024
entrez: 29 9 2024
Statut: aheadofprint

Résumé

Adenovirus (AdVs) is the viral vector of choice in vaccines and oncolytic applications owing to its high transduction activity and inherent immunogenicity. For decades, AdV isolation has relied on ultracentrifugation and ion-exchange chromatography, which are not suitable to large-scale production and struggle to deliver sufficient purity. Immunoaffinity chromatography resins of recent introduction feature high binding capacity and selectivity, but mandate harsh elution conditions (pH 3.0), afford low yield (< 20%), and provide limited reusability. Seeking a more efficient and affordable alternative, this study introduces the first peptide affinity ligands for AdV purification. The peptides were identified via combinatorial selection and in silico design to target hexons, the most abundant proteins in the adenoviral capsid. Selected peptide ligands AEFFIWNA and TNDGPDYSSPLTGSG were conjugated on chromatographic resins and utilized to purify AdV serotype 5 from HEK293 and Vero cell lysates. The peptide-functionalized resins feature high binding capacity (> 10

Identifiants

pubmed: 39342729
pii: S0021-9673(24)00770-2
doi: 10.1016/j.chroma.2024.465396
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

465396

Informations de copyright

Copyright © 2024 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare no conflict of interest.

Auteurs

Yuxuan Wu (Y)

Department of Chemical and Biomolecular Engineering, North Carolina State University, 911 Partners Way, Raleigh, NC 27695, USA.

Eduardo Barbieri (E)

Department of Chemical and Biomolecular Engineering, North Carolina State University, 911 Partners Way, Raleigh, NC 27695, USA; LigaTrap Technologies LLC, Raleigh, NC 27606.

Ryan E Kilgore (RE)

Department of Chemical and Biomolecular Engineering, North Carolina State University, 911 Partners Way, Raleigh, NC 27695, USA.

Brandyn D Moore (BD)

Department of Chemical and Biomolecular Engineering, North Carolina State University, 911 Partners Way, Raleigh, NC 27695, USA.

Wenning Chu (W)

Department of Chemical and Biomolecular Engineering, North Carolina State University, 911 Partners Way, Raleigh, NC 27695, USA.

Gina N Mollica (GN)

Department of Chemical and Biomolecular Engineering, North Carolina State University, 911 Partners Way, Raleigh, NC 27695, USA.

Michael A Daniele (MA)

Joint Department of Biomedical Engineering, North Carolina State University and University of North Carolina at Chapel Hill, 911 Oval Drive, Raleigh, NC 27695, USA; Department of Electrical and Computer Engineering, North Carolina State University, 890 Oval Drive, Raleigh, NC 27695, USA; North Carolina Viral Vector Initiative in Research and Learning (NC-VVIRAL), North Carolina State University, 911 Oval Dr, Raleigh, NC 27695, USA.

Stefano Menegatti (S)

Department of Chemical and Biomolecular Engineering, North Carolina State University, 911 Partners Way, Raleigh, NC 27695, USA; Biomanufacturing Training and Education Center (BTEC), 850 Oval Drive, Raleigh, NC 27606, USA; North Carolina Viral Vector Initiative in Research and Learning (NC-VVIRAL), North Carolina State University, 911 Oval Dr, Raleigh, NC 27695, USA; LigaTrap Technologies LLC, Raleigh, NC 27606. Electronic address: smenega@ncsu.edu.

Classifications MeSH