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Enzyme Cascade with Horseradish Peroxidase Readout for High-Throughput Screening and Engineering of Human Arginase-1.
Fernández De Santaella, Jaime; Ren, Jin; Vanella, Rosario; Nash, Michael A.
Afiliação
  • Fernández De Santaella J; Department of Chemistry, Institute of Physical Chemistry, University of Basel, 4058 Basel, Switzerland.
  • Ren J; Department of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland.
  • Vanella R; National Center for Competence in Research (NCCR), Molecular Systems Engineering, 4058 Basel, Switzerland.
  • Nash MA; Department of Chemistry, Institute of Physical Chemistry, University of Basel, 4058 Basel, Switzerland.
Anal Chem ; 95(18): 7150-7157, 2023 05 09.
Article em En | MEDLINE | ID: mdl-37094096
ABSTRACT
We report an enzyme cascade with horseradish peroxidase-based readout for screening human arginase-1 (hArg1) activity. We combined the four enzymes hArg1, ornithine decarboxylase, putrescine oxidase, and horseradish peroxidase in a reaction cascade that generated colorimetric or fluorescent signals in response to hArg1 activity and used this cascade to assay wild-type and variant hArg1 sequences as soluble enzymes and displayed on the surface of Escherichia coli. We screened a curated 13-member hArg1 library covering mutations that modified the electrostatic environment surrounding catalytic residues D128 and H141, and identified the R21E variant with a 13% enhanced catalytic turnover rate compared to wild type. Our scalable one-pot single-step arginase assay with continuous kinetic readout is amenable to high-throughput screening and directed evolution of arginase libraries and testing drug candidates for arginase inhibition.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Arginase / Ensaios de Triagem em Larga Escala Tipo de estudo: Diagnostic_studies / Screening_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Arginase / Ensaios de Triagem em Larga Escala Tipo de estudo: Diagnostic_studies / Screening_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article