Isotopically labeled flavoenzymes and their uses in probing reaction mechanisms.


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: 11 5 2019
pubmed: 11 5 2019
medline: 25 2 2020
Statut: ppublish

Résumé

The incorporation of stable isotopes into proteins is beneficial or essential for a range of experiments, including NMR, neutron scattering and reflectometry, proteomic mass spectrometry, vibrational spectroscopy and "heavy" enzyme kinetic isotope effect (KIE) measurements. Here, we present detailed protocols for the stable isotopic labeling of pentaerythritol tetranitrate reductase (PETNR) via recombinant expression in E. coli. PETNR is an ene-reductase belonging to the Old Yellow Enzyme (OYE) family of flavoenzymes, and is regarded as a model system for studying hydride transfer reactions. Included is a discussion of how efficient back-exchange of amide protons in the protein core can be achieved and how the intrinsic flavin mononucleotide (FMN) cofactor can be exchanged, allowing the production of isotopologues with differentially labeled protein and cofactor. In addition to a thorough description of labeling strategies, we briefly exemplify how data analysis and interpretation of "heavy" enzyme KIEs can be performed.

Identifiants

pubmed: 31072485
pii: S0076-6879(19)30090-4
doi: 10.1016/bs.mie.2019.03.009
pii:
doi:

Substances chimiques

Nitrogen Isotopes 0
Nitrogen-15 0
Recombinant Proteins 0
Flavin Mononucleotide 7N464URE7E
Oxidoreductases EC 1.-
pentaerythritol tetranitrate reductase EC 1.7.99.-

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

145-166

Subventions

Organisme : Biotechnology and Biological Sciences Research Council
ID : BB/H000844/1
Pays : United Kingdom
Organisme : Biotechnology and Biological Sciences Research Council
ID : BB/M007065/1
Pays : United Kingdom

Informations de copyright

© 2019 Elsevier Inc. All rights reserved.

Auteurs

Andreea I Iorgu (AI)

Manchester Institute of Biotechnology and School of Chemistry, The University of Manchester, Manchester, United Kingdom.

Matthew J Cliff (MJ)

Manchester Institute of Biotechnology and School of Chemistry, The University of Manchester, Manchester, United Kingdom.

Jonathan P Waltho (JP)

Manchester Institute of Biotechnology and School of Chemistry, The University of Manchester, Manchester, United Kingdom.

Nigel S Scrutton (NS)

Manchester Institute of Biotechnology and School of Chemistry, The University of Manchester, Manchester, United Kingdom.

Sam Hay (S)

Manchester Institute of Biotechnology and School of Chemistry, The University of Manchester, Manchester, United Kingdom. Electronic address: sam.hay@manchester.ac.uk.

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Classifications MeSH