Enzyme-based protein-tagging systems for site-specific labeling of proteins in living cells.

enzyme reaction fluorescence imaging fluorescent labeling post-translational modification protein labeling protein-tagging system

Journal

Microscopy (Oxford, England)
ISSN: 2050-5701
Titre abrégé: Microscopy (Oxf)
Pays: England
ID NLM: 101595834

Informations de publication

Date de publication:
21 May 2020
Historique:
received: 26 01 2020
revised: 06 03 2020
accepted: 11 03 2020
pubmed: 14 3 2020
medline: 11 11 2020
entrez: 14 3 2020
Statut: ppublish

Résumé

Various protein-labeling methods based on the specific interactions between genetically encoded tags and synthetic probes have been proposed to complement fluorescent protein-based labeling. In particular, labeling methods based on enzyme reactions have been intensively developed by taking advantage of the highly specific interactions between enzymes and their substrates. In this approach, the peptides or proteins are genetically attached to the target proteins as a tag, and the various labels are then incorporated into the tags by enzyme reactions with the substrates carrying those labels. On the other hand, we have been developing an enzyme-based protein-labeling system distinct from the existing ones. In our system, the substrate protein is attached to the target proteins as a tag, and the labels are incorporated into the tag by post-translational modification with an enzyme carrying those labels followed by tight complexation between the enzyme and the substrate protein. In this review, I summarize the enzyme-based protein-labeling systems with a focus on several typical methods and then describe our labeling system based on tight complexation between the enzyme and the substrate protein.

Identifiants

pubmed: 32166307
pii: 5803337
doi: 10.1093/jmicro/dfaa011
doi:

Substances chimiques

Fluorescent Dyes 0
Proteins 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

156-166

Informations de copyright

© The Author(s) 2020. Published by Oxford University Press on behalf of The Japanese Society of Microscopy. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Auteurs

Shinji Sueda (S)

Department of Bioscience and Bioinformatics, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka 820-8502, Japan.
Research Center for Bio-microsensing Technology, Kyushu Institute of Technology, 1-1 Sensui-cho, Tobata-ku, Kitakyushu 804-8550, Japan.

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Classifications MeSH