High-Throughput Functional Screening of Steroid Substrates with Wild-Type and Chimeric P450 Enzymes

The promiscuity of a collection of enzymes consisting of 31 wild-type and synthetic variants of CYP1A enzymes was evaluated using a series of 14 steroids and 2 steroid-like chemicals, namely, nootkatone, a terpenoid, and mifepristone, a drug. For each enzyme-substrate couple, the initial steady-stat...

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Main Authors: Philippe Urban, Gilles Truan, Denis Pompon
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:BioMed Research International
Online Access:http://dx.doi.org/10.1155/2014/764102
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spelling doaj-0c556769ca994cd7b347d66b769354cc2020-11-24T21:55:29ZengHindawi LimitedBioMed Research International2314-61332314-61412014-01-01201410.1155/2014/764102764102High-Throughput Functional Screening of Steroid Substrates with Wild-Type and Chimeric P450 EnzymesPhilippe Urban0Gilles Truan1Denis Pompon2Université de Toulouse, INSA, UPS, INP, LISBP, 135 Avenue de Rangueil, 31077 Toulouse, FranceUniversité de Toulouse, INSA, UPS, INP, LISBP, 135 Avenue de Rangueil, 31077 Toulouse, FranceUniversité de Toulouse, INSA, UPS, INP, LISBP, 135 Avenue de Rangueil, 31077 Toulouse, FranceThe promiscuity of a collection of enzymes consisting of 31 wild-type and synthetic variants of CYP1A enzymes was evaluated using a series of 14 steroids and 2 steroid-like chemicals, namely, nootkatone, a terpenoid, and mifepristone, a drug. For each enzyme-substrate couple, the initial steady-state velocity of metabolite formation was determined at a substrate saturating concentration. For that, a high-throughput approach was designed involving automatized incubations in 96-well microplate with sixteen 6-point kinetics per microplate and data acquisition using LC/MS system accepting 96-well microplate for injections. The resulting dataset was used for multivariate statistics aimed at sorting out the correlations existing between tested enzyme variants and ability to metabolize steroid substrates. Functional classifications of both CYP1A enzyme variants and steroid substrate structures were obtained allowing the delineation of global structural features for both substrate recognition and regioselectivity of oxidation.http://dx.doi.org/10.1155/2014/764102
collection DOAJ
language English
format Article
sources DOAJ
author Philippe Urban
Gilles Truan
Denis Pompon
spellingShingle Philippe Urban
Gilles Truan
Denis Pompon
High-Throughput Functional Screening of Steroid Substrates with Wild-Type and Chimeric P450 Enzymes
BioMed Research International
author_facet Philippe Urban
Gilles Truan
Denis Pompon
author_sort Philippe Urban
title High-Throughput Functional Screening of Steroid Substrates with Wild-Type and Chimeric P450 Enzymes
title_short High-Throughput Functional Screening of Steroid Substrates with Wild-Type and Chimeric P450 Enzymes
title_full High-Throughput Functional Screening of Steroid Substrates with Wild-Type and Chimeric P450 Enzymes
title_fullStr High-Throughput Functional Screening of Steroid Substrates with Wild-Type and Chimeric P450 Enzymes
title_full_unstemmed High-Throughput Functional Screening of Steroid Substrates with Wild-Type and Chimeric P450 Enzymes
title_sort high-throughput functional screening of steroid substrates with wild-type and chimeric p450 enzymes
publisher Hindawi Limited
series BioMed Research International
issn 2314-6133
2314-6141
publishDate 2014-01-01
description The promiscuity of a collection of enzymes consisting of 31 wild-type and synthetic variants of CYP1A enzymes was evaluated using a series of 14 steroids and 2 steroid-like chemicals, namely, nootkatone, a terpenoid, and mifepristone, a drug. For each enzyme-substrate couple, the initial steady-state velocity of metabolite formation was determined at a substrate saturating concentration. For that, a high-throughput approach was designed involving automatized incubations in 96-well microplate with sixteen 6-point kinetics per microplate and data acquisition using LC/MS system accepting 96-well microplate for injections. The resulting dataset was used for multivariate statistics aimed at sorting out the correlations existing between tested enzyme variants and ability to metabolize steroid substrates. Functional classifications of both CYP1A enzyme variants and steroid substrate structures were obtained allowing the delineation of global structural features for both substrate recognition and regioselectivity of oxidation.
url http://dx.doi.org/10.1155/2014/764102
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