Literature DB >> 20713123

Human liver peroxisomal alanine:glyoxylate aminotransferase: Different stability under chemical stress of the major allele, the minor allele, and its pathogenic G170R variant.

Barbara Cellini1, Antonio Lorenzetto, Riccardo Montioli, Elisa Oppici, Carla Borri Voltattorni.   

Abstract

The sensitivity to denaturant stress of the major (AGT-Ma) and the minor (AGT-Mi) allele of alanine:glyoxylate aminotransferase and P11L mutant has been examined by studying their urea-induced equilibrium unfolding processes with various spectroscopic and analytical techniques. AGT-Ma loses pyridoxal 5'-phosphate (PLP) and unfolds completely without exposing significant hydrophobic clusters through a two-state model (C(m) ∼ 6.9 M urea). Instead, the unfolding of AGT-Mi and P11L variant proceeds in two steps. The first transition (C(m) ∼ 4.6 M urea) involves PLP release, dimer dissociation and exposure of hydrophobic patches leading to a self-associated intermediate which is converted to an unfolded monomer in the second step. The unfolding pathways of apoAGT-Mi and apoP11L are similar to each other, but different from that of apoAGT-Ma. Notably, the monomerization step in apoAGT-Mi and apoP11L occurs with a C(m) value (∼1.6 M urea) lower than in apoAGT-Ma (∼2.4 M urea). These data indicate that Pro11 is relevant for the stability of both the dimeric structure and the PLP binding site of AGT. Moreover, to understand the pathogenic consequences of G170R mutation on AGT-Mi at the protein level, G170R-Mi has been characterized. HoloG170R-Mi exhibits spectroscopic and catalytic features and urea unfolding profiles comparable to those of AGT-Mi, while the apo form monomerizes with a C(m) of ∼1.1 M urea. These biochemical results are discussed in the light of the characteristics of the enzymatic phenotype of PH1 patients bearing G170R mutation in AGT-Mi and the positive response of these patients to pyridoxine treatment.
Copyright © 2010 Elsevier Masson SAS. All rights reserved.

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Year:  2010        PMID: 20713123     DOI: 10.1016/j.biochi.2010.08.005

Source DB:  PubMed          Journal:  Biochimie        ISSN: 0300-9084            Impact factor:   4.079


  20 in total

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9.  Biochemical and computational approaches to improve the clinical treatment of dopa decarboxylase-related diseases: an overview.

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