Affinity purification of Car9-tagged proteins on silica-derivatized spin columns and 96-well plates.


Journal

Protein expression and purification
ISSN: 1096-0279
Titre abrégé: Protein Expr Purif
Pays: United States
ID NLM: 9101496

Informations de publication

Date de publication:
06 2020
Historique:
received: 06 11 2019
revised: 07 02 2020
accepted: 11 02 2020
pubmed: 18 2 2020
medline: 8 1 2021
entrez: 17 2 2020
Statut: ppublish

Résumé

The Car9 affinity tag is a dodecameric silica-binding peptide that can be fused to the N- and C-termini of proteins of interest to enable their rapid and inexpensive purification on underivatized silica in a process that typically relies on l-lysine as an eluent. Here, we show that silica paper spin columns and borosilicate multi-well plates used for plasmid DNA purification are suitable for recovering Car9-tagged proteins with high purity in a workflow compatible with high-throughput experiments. Spin columns typically yield 100 μg of biologically active material that can be recovered in minutes with low concentrations of lysine. Because of their short bed length, spin columns also offer unique advantages, as evidenced by the selective recovery of functional Car9-tagged tobacco etch virus (TEV) protease from a fused and auto-cleaved maltose binding protein (MBP) folding partner that nonspecifically binds to silica in the presence of NaCl. These additional purification modalities should increase the versatility and appeal of the Car9 tag for affinity protein purification.

Identifiants

pubmed: 32062023
pii: S1046-5928(19)30589-3
doi: 10.1016/j.pep.2020.105608
pii:
doi:

Substances chimiques

Affinity Labels 0
Maltose-Binding Proteins 0
Peptides 0
Recombinant Fusion Proteins 0
Recombinant Proteins 0
Sodium Chloride 451W47IQ8X
Silicon Dioxide 7631-86-9
Endopeptidases EC 3.4.-
TEV protease EC 3.4.-

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

105608

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

Auteurs

Meng Xu (M)

Department of Chemical Engineering, University of Washington, Seattle, WA, 98195, USA; Department of Material Sciences and Engineering, University of Washington, Seattle, WA, 98195, USA.

Matthew J Bailey (MJ)

Department of Chemical Engineering, University of Washington, Seattle, WA, 98195, USA.

Jennifer Look (J)

Proteios Technology, Inc, Seattle, WA, 98194, USA.

François Baneyx (F)

Department of Chemical Engineering, University of Washington, Seattle, WA, 98195, USA. Electronic address: baneyx@uw.edu.

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Classifications MeSH