Proliferating cell nuclear antigen-agarose column: A tag-free and tag-dependent tool for protein purification affinity chromatography.


Journal

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

Informations de publication

Date de publication:
27 Sep 2019
Historique:
received: 02 02 2019
revised: 01 06 2019
accepted: 03 06 2019
pubmed: 18 6 2019
medline: 11 10 2019
entrez: 18 6 2019
Statut: ppublish

Résumé

Protein purification by affinity chromatography relies primarily on the interaction of a fused-tag to the protein of interest. Here, we describe a tag-free affinity method that employs functional selection interactions to a broad range of proteins. To achieve this, we coupled human DNA-clamp proliferating cell nuclear antigen (PCNA) that interacts with over one hundred proteins to an agarose resin. We demonstrate the versatility of our PCNA-Agarose column at various chromatographic steps by purifying PCNA-binding proteins that are involved in DNA Replication (DNA polymerase δ, flap endonuclease 1 and DNA ligase 1), translesion DNA synthesis (DNA polymerases eta, kappa and iota) and genome stability (p15). We also show the competence of the PCNA-Agarose column to purify non-PCNA binding proteins by fusing the PCNA-binding motif of human p21 as an affinity tag. Finally, we establish that our PCNA-Agarose column is a suitable analytical method for characterizing the binding strength of PCNA-binding proteins. The conservation and homology of PCNA-like clamps will allow for the immediate extension of our method to other species.

Identifiants

pubmed: 31204039
pii: S0021-9673(19)30607-7
doi: 10.1016/j.chroma.2019.06.008
pii:
doi:

Substances chimiques

Buffers 0
Proliferating Cell Nuclear Antigen 0
Recombinant Proteins 0
Resins, Synthetic 0
Sepharose 9012-36-6
DNA Polymerase III EC 2.7.7.7

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

341-349

Informations de copyright

Copyright © 2019 The Authors. Published by Elsevier B.V. All rights reserved.

Auteurs

Muhammad Tehseen (M)

King Abdullah University of Science and Technology, Division of Biological and Environmental Sciences and Engineering, Thuwal, 23955, Saudi Arabia.

Vlad-Stefan Raducanu (VS)

King Abdullah University of Science and Technology, Division of Biological and Environmental Sciences and Engineering, Thuwal, 23955, Saudi Arabia.

Fahad Rashid (F)

King Abdullah University of Science and Technology, Division of Biological and Environmental Sciences and Engineering, Thuwal, 23955, Saudi Arabia.

Afnan Shirbini (A)

King Abdullah University of Science and Technology, Division of Biological and Environmental Sciences and Engineering, Thuwal, 23955, Saudi Arabia.

Masateru Takahashi (M)

King Abdullah University of Science and Technology, Division of Biological and Environmental Sciences and Engineering, Thuwal, 23955, Saudi Arabia.

Samir M Hamdan (SM)

King Abdullah University of Science and Technology, Division of Biological and Environmental Sciences and Engineering, Thuwal, 23955, Saudi Arabia. Electronic address: Samir.hamdan@kaust.edu.sa.

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Classifications MeSH