Literature DB >> 10868935

Study of the regulatory properties of glucokinase by site-directed mutagenesis: conversion of glucokinase to an enzyme with high affinity for glucose.

M A Moukil1, M Veiga-da-Cunha, E Van Schaftingen.   

Abstract

To identify the amino acids involved in the specific regulatory properties of glucokinase, and particularly its low affinity for glucose, mutants of the human islet enzyme have been prepared, in which glucokinase-specific residues have been replaced. Two mutations increased the affinity for glucose by twofold (K296M) and sixfold (Y214A), the latter also decreasing the Hill coefficient from 1.75 to 1.2 with minimal change in the affinity for ATP. Combining these two mutations with N166R resulted in a 50-fold decrease in the half-saturating substrate concentration (S0.5) value, which became then comparable to the Km of hexokinase II. The location of N166, Y214, and K296 in the three-dimensional structure of glucokinase suggests that these mutations act by favoring closure of the catalytic cleft. As a rule, mutations changed the affinity for glucose and for the competitive inhibitor mannoheptulose (MH) in parallel, whereas they barely affected the affinity for N-acetylglucosamine (NAG). These and other results suggest that NAG and MH bind to the same site but to different conformations of glucokinase. A small reduction in the affinity for the regulatory protein was observed with mutations of residues on the smaller domain and in the hinge region, confirming the bipartite nature of the binding site for the regulatory protein. The K296M mutant was found to have a threefold decreased affinity for palmitoyl CoA; this effect was additive to that previously observed for the E279Q mutant, indicating that the binding site for long-chain acyl CoAs is located on the upper face of the larger domain.

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Year:  2000        PMID: 10868935     DOI: 10.2337/diabetes.49.2.195

Source DB:  PubMed          Journal:  Diabetes        ISSN: 0012-1797            Impact factor:   9.461


  8 in total

1.  Relationships between inhibition constants, inhibitor concentrations for 50% inhibition and types of inhibition: new ways of analysing data.

Authors:  A Cortés; M Cascante; M L Cárdenas; A Cornish-Bowden
Journal:  Biochem J       Date:  2001-07-01       Impact factor: 3.857

2.  Structure-function analysis of the alpha5 and the alpha13 helices of human glucokinase: description of two novel activating mutations.

Authors:  Leda Pedelini; Maria Adelaida Garcia-Gimeno; Alberto Marina; Juan M Gomez-Zumaquero; Pablo Rodriguez-Bada; Soledad López-Enriquez; Federico C Soriguer; Antonio L Cuesta-Muñoz; Pascual Sanz
Journal:  Protein Sci       Date:  2005-06-29       Impact factor: 6.725

3.  Conformational transition pathway in the allosteric process of human glucokinase.

Authors:  Jian Zhang; Chenjing Li; Kaixian Chen; Weiliang Zhu; Xu Shen; Hualiang Jiang
Journal:  Proc Natl Acad Sci U S A       Date:  2006-08-28       Impact factor: 11.205

4.  Kinetic studies of rat liver hexokinase D ('glucokinase') in non-co-operative conditions show an ordered mechanism with MgADP as the last product to be released.

Authors:  Octavio Monasterio; María Luz Cárdenas
Journal:  Biochem J       Date:  2003-04-01       Impact factor: 3.857

Review 5.  Pancreatic β-cell heterogeneity in health and diabetes: classes, sources, and subtypes.

Authors:  Mario A Miranda; Juan F Macias-Velasco; Heather A Lawson
Journal:  Am J Physiol Endocrinol Metab       Date:  2021-02-15       Impact factor: 4.310

6.  Functional characterization of MODY2 mutations highlights the importance of the fine-tuning of glucokinase and its role in glucose sensing.

Authors:  Carmen-María García-Herrero; Oscar Rubio-Cabezas; Sharona Azriel; Angel Gutierrez-Nogués; Angel Aragonés; Olivier Vincent; Angel Campos-Barros; Jesús Argente; María-Angeles Navas
Journal:  PLoS One       Date:  2012-01-24       Impact factor: 3.240

Review 7.  All mixed up: defining roles for β-cell subtypes in mature islets.

Authors:  Jennifer S E Liu; Matthias Hebrok
Journal:  Genes Dev       Date:  2017-02-01       Impact factor: 11.361

8.  Structure-based predictive models for allosteric hot spots.

Authors:  Omar N A Demerdash; Michael D Daily; Julie C Mitchell
Journal:  PLoS Comput Biol       Date:  2009-10-09       Impact factor: 4.475

  8 in total

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