Quantitative analysis of USP activity in vitro.


Journal

Methods in enzymology
ISSN: 1557-7988
Titre abrégé: Methods Enzymol
Pays: United States
ID NLM: 0212271

Informations de publication

Date de publication:
2019
Historique:
entrez: 10 3 2019
pubmed: 10 3 2019
medline: 12 11 2019
Statut: ppublish

Résumé

Ubiquitin-specific proteases (USPs) are an important class of deubiquitinating enzymes (DUBs) that carry out critical roles in cellular physiology and are regulated at multiple levels. Quantitative characterization of USP activity is crucial for mechanistic understanding of USP function and regulation. This requires kinetic analysis using in vitro activity assays on minimal and natural substrates with purified proteins. In this chapter we give advice for efficient design of USP constructs and their optimal expression, followed by a series of purification strategies. We then present protocols for studying USP activity quantitatively on minimal and more natural substrates, and we discuss how to include possible regulatory elements such as internal USP domains or external interacting proteins. Lastly, we examine different binding assays for studying USP interactions and discuss how these can be included in full kinetic analyses.

Identifiants

pubmed: 30850056
pii: S0076-6879(18)30519-6
doi: 10.1016/bs.mie.2018.12.023
pii:
doi:

Substances chimiques

Ubiquitin 0
Ubiquitin-Specific Proteases EC 3.4.19.12

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

281-319

Informations de copyright

© 2019 Elsevier Inc. All rights reserved.

Auteurs

Shreya Dharadhar (S)

Division of Biochemistry and Oncode Institute, Netherlands Cancer Institute, Amsterdam, The Netherlands.

Robbert Q Kim (RQ)

Division of Biochemistry and Oncode Institute, Netherlands Cancer Institute, Amsterdam, The Netherlands.

Michael Uckelmann (M)

Division of Biochemistry and Oncode Institute, Netherlands Cancer Institute, Amsterdam, The Netherlands.

Titia K Sixma (TK)

Division of Biochemistry and Oncode Institute, Netherlands Cancer Institute, Amsterdam, The Netherlands. Electronic address: t.sixma@nki.nl.

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Classifications MeSH