Ancestral l-amino acid oxidase: From substrate scope exploration to phenylalanine ammonia-lyase assay.

Ancestral L-amino acid oxidase High-throughput solid-phase assay L-phenylalanine derivatives Phenylalanine ammonia-lyase Substrate scope

Journal

Journal of biotechnology
ISSN: 1873-4863
Titre abrégé: J Biotechnol
Pays: Netherlands
ID NLM: 8411927

Informations de publication

Date de publication:
20 Nov 2023
Historique:
received: 07 06 2023
revised: 22 10 2023
accepted: 23 10 2023
medline: 13 11 2023
pubmed: 28 10 2023
entrez: 27 10 2023
Statut: ppublish

Résumé

In this study we assessed the applicability of the recently reported ancestral l-amino acid oxidase (AncLAAO), for the development of an enzyme-coupled phenylalanine ammonia-lyase (PAL) activity assay. Firstly, the expression and isolation of the AncLAAO-N1 was optimized, followed by activity tests of the obtained octameric N-terminal His-tagged enzyme towards various phenylalanine analogues to assess the compatibility of its substrate scope with that of the well-characterized PALs. AncLAAO-N1 showed high catalytic efficiency towards phenylalanines mono-, di-, or multiple-substituted in the meta- or para-positions, with ortho- substituted substrates being poorly transformed, these results highlighting the significant overlap between its substrate scope and those of PALs. After successful set-up of the AncLAAO-PAL coupled solid phase assay, in a 'proof of concept' approach we demonstrated its applicability for the high-throughput activity screens of PAL-libraries, by screening the saturation mutagenesis-derived I460NNK variant library of PAL from Petroselinum crispum, using p-MeO-phenylalanine as model substrate. Notably, the hits revealed by the coupled assay comprised all the active PAL variants: I460V, I460T, I460S, I460L, previously identified from the tested PAL-library by other assays. Our results validate the applicability of AncLAAO for coupled enzyme systems with phenylalanine ammonia-lyases, including cell-based assays suitable for the high-throughput screening of directed evolution-derived PAL-libraries.

Identifiants

pubmed: 37890533
pii: S0168-1656(23)00186-4
doi: 10.1016/j.jbiotec.2023.10.006
pii:
doi:

Substances chimiques

Phenylalanine Ammonia-Lyase EC 4.3.1.24
L-Amino Acid Oxidase EC 1.4.3.2
Phenylalanine 47E5O17Y3R

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

43-52

Informations de copyright

Copyright © 2023 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Raluca Bianca Tomoiagă (RB)

Enzymology and Applied Biocatalysis Research Center, Faculty of Chemistry and Chemical Engineering, Babeș-Bolyai University, Arany János Street 11, Cluj-Napoca RO-400028, Romania.

Marcel Ursu (M)

Enzymology and Applied Biocatalysis Research Center, Faculty of Chemistry and Chemical Engineering, Babeș-Bolyai University, Arany János Street 11, Cluj-Napoca RO-400028, Romania.

Krisztina Boros (K)

Enzymology and Applied Biocatalysis Research Center, Faculty of Chemistry and Chemical Engineering, Babeș-Bolyai University, Arany János Street 11, Cluj-Napoca RO-400028, Romania.

Levente Csaba Nagy (LC)

Enzymology and Applied Biocatalysis Research Center, Faculty of Chemistry and Chemical Engineering, Babeș-Bolyai University, Arany János Street 11, Cluj-Napoca RO-400028, Romania.

László Csaba Bencze (LC)

Enzymology and Applied Biocatalysis Research Center, Faculty of Chemistry and Chemical Engineering, Babeș-Bolyai University, Arany János Street 11, Cluj-Napoca RO-400028, Romania. Electronic address: laszlo.bencze@ubbcluj.ro.

Articles similaires

Citrus Phenylalanine Ammonia-Lyase Stress, Physiological Multigene Family Phylogeny
Osteosarcoma Animals Glutathione Oxidation-Reduction Mice
Peroxynitrous Acid Animals Escherichia coli Immunotherapy Mice
Colorimetry Captopril Humans Alloys Limit of Detection

Classifications MeSH