Literature DB >> 15678424

High-throughput mass-spectrometry monitoring for multisubstrate enzymes: determining the kinetic parameters and catalytic activities of glycosyltransferases.

Min Yang1, Melissa Brazier, Robert Edwards, Benjamin G Davis.   

Abstract

A novel high-throughput screening (HTS) method with electrospray time-of-flight (ESI-TOF) mass spectrometry allows i) rapid and broad screening of multisubstrate enzyme catalytic activity towards a range of donor and acceptor substrates; ii) determination of full multisubstrate kinetic parameters and the binding order of substrates. Two representative glycosyltransferases (GTs, one common, one recently isolated, one O-glycosyltransferase (O-GT), one N-glycosyltransferase (N-GT)) have been used to validate this system: the widely used bovine beta-1,4-galactosyltransferase (EC 2.4.1.22), and the recently isolated Arabidopsis thaliana GT UGT72B1 (EC 2.4.1.-). The GAR (green/amber/red) broad-substrate-specificity screen, which is based on the mass ion abundance of product, provides a fast, high-throughput method for finding potential donors and acceptors from substrate libraries. This was evaluated by using six natural and non-natural donors (alpha-UDP-D-Glucose (UDPGlc), alpha-UDP-N-Acetyl-D-glucosamine (UDPGlcNAc), alpha-UDP-D-5-thioglucose (UDP5SGlc), alpha-GDP-L-fucose (GDPFuc), alpha-GDP-D-mannose (GDPMan), alpha,beta-UDP-D-mannose (UDPMan)) and 32 broad-ranging acceptors (sugars, plant hormones, antibiotics, flavonoids, coumarins, phenylpropanoids and benzoic acids). By using the fast-equilibrium assumption, KM, kcat and KIA were determined for representative substrates, and these values were used to determine substrate binding orders. These screening methods applied to the two very different enzymes revealed some unusual substrate specificities, thus highlighting the utility of broad-ranging substrate screening. For UGT72B1, it was shown that the donor specificity is determined largely by the nucleotide moiety. The method is therefore capable of identifying GT enzymes with usefully broad carbohydrate-transfer ability.

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Year:  2005        PMID: 15678424     DOI: 10.1002/cbic.200400100

Source DB:  PubMed          Journal:  Chembiochem        ISSN: 1439-4227            Impact factor:   3.164


  10 in total

1.  Substrate and metal ion promiscuity in mannosylglycerate synthase.

Authors:  Morten M Nielsen; Michael D L Suits; Min Yang; Conor S Barry; Carlos Martinez-Fleites; Louise E Tailford; James E Flint; Claire Dumon; Benjamin G Davis; Harry J Gilbert; Gideon J Davies
Journal:  J Biol Chem       Date:  2011-02-02       Impact factor: 5.157

2.  Tracking down biotransformation to the genetic level: identification of a highly flexible glycosyltransferase from Saccharothrix espanaensis.

Authors:  Tina Strobel; Yvonne Schmidt; Anton Linnenbrink; Andriy Luzhetskyy; Marta Luzhetska; Takaaki Taguchi; Elke Brötz; Thomas Paululat; Maryna Stasevych; Oleg Stanko; Volodymyr Novikov; Andreas Bechthold
Journal:  Appl Environ Microbiol       Date:  2013-06-21       Impact factor: 4.792

Review 3.  Understanding substrate selectivity of human UDP-glucuronosyltransferases through QSAR modeling and analysis of homologous enzymes.

Authors:  Dong Dong; Roland Ako; Ming Hu; Baojian Wu
Journal:  Xenobiotica       Date:  2012-03-02       Impact factor: 1.908

4.  Rapid screening of sugar-nucleotide donor specificities of putative glycosyltransferases.

Authors:  M Osman Sheikh; Stephanie M Halmo; Sneha Patel; Dustin Middleton; Hideyuki Takeuchi; Christopher M Schafer; Christopher M West; Robert S Haltiwanger; Fikri Y Avci; Kelley W Moremen; Lance Wells
Journal:  Glycobiology       Date:  2017-03-01       Impact factor: 4.313

5.  High throughput mass spectrometry-based characterisation of Arabidopsis thaliana group H glycosyltransferases.

Authors:  Aishat Akere; Qian Liu; Shibo Wu; Bingkai Hou; Min Yang
Journal:  RSC Adv       Date:  2018-08-24       Impact factor: 4.036

6.  Chemical intervention in plant sugar signalling increases yield and resilience.

Authors:  Cara A Griffiths; Ram Sagar; Yiqun Geng; Lucia F Primavesi; Mitul K Patel; Melissa K Passarelli; Ian S Gilmore; Rory T Steven; Josephine Bunch; Matthew J Paul; Benjamin G Davis
Journal:  Nature       Date:  2016-12-14       Impact factor: 49.962

7.  Bacterial Glycosyltransferases: Challenges and Opportunities of a Highly Diverse Enzyme Class Toward Tailoring Natural Products.

Authors:  Jochen Schmid; Dominik Heider; Norma J Wendel; Nadine Sperl; Volker Sieber
Journal:  Front Microbiol       Date:  2016-02-18       Impact factor: 5.640

Review 8.  What can mathematical modelling say about CHO metabolism and protein glycosylation?

Authors:  Sarah N Galleguillos; David Ruckerbauer; Matthias P Gerstl; Nicole Borth; Michael Hanscho; Jürgen Zanghellini
Journal:  Comput Struct Biotechnol J       Date:  2017-01-28       Impact factor: 7.271

9.  Structure of a flavonoid glucosyltransferase reveals the basis for plant natural product modification.

Authors:  Wendy Offen; Carlos Martinez-Fleites; Min Yang; Eng Kiat-Lim; Benjamin G Davis; Chris A Tarling; Christopher M Ford; Dianna J Bowles; Gideon J Davies
Journal:  EMBO J       Date:  2006-02-16       Impact factor: 11.598

10.  Structure-based enzyme engineering improves donor-substrate recognition of Arabidopsis thaliana glycosyltransferases.

Authors:  Aishat Akere; Serena H Chen; Xiaohan Liu; Yanger Chen; Sarath Chandra Dantu; Alessandro Pandini; Debsindhu Bhowmik; Shozeb Haider
Journal:  Biochem J       Date:  2020-08-14       Impact factor: 3.857

  10 in total

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