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Isolation of Fidelity Variants of RNA Viruses and Characterization of Virus Mutation Frequency
Published on: June 16, 2011
Identification of 34 novel mutations in propionic acidemia: Functional characterization of missense variants and
Ana Rivera-Barahona1, Rosa Navarrete1, Raquel García-Rodríguez1
1Centro de Biología Molecular Severo Ochoa UAM-CSIC, Universidad Autónoma, Madrid, Spain; Centro de Diagnóstico de Enfermedades Moleculares (CEDEM), Madrid, Spain; Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), ISCIII, Spain; Instituto de Investigación Sanitaria Hospital La Paz (IdiPaz), ISCIII, Spain.
Abstract:
Propionic acidemia (PA) is caused by mutations in the PCCA and PCCB genes, encoding α and β subunits, respectively, of the mitochondrial enzyme propionyl-CoA carboxylase (PCC). Up to date, >200 pathogenic mutations have been identified, mostly missense defects. Genetic analysis in PA patients referred to the laboratory for the past 15 years identified 20 novel variants in the PCCA gene and 14 in the PCCB gene. 21 missense variants were predicted as probably disease-causing by different bioinformatics algorithms. Structural analysis in the available 3D model of the PCC enzyme indicated potential instability for most of them. Functional analysis in a eukaryotic system confirmed the pathogenic effect for the missense variants and for one amino acid deletion, as they all exhibited reduced or null PCC activity and protein levels compared to wild-type constructs. PCCB variants p.E168del, p.Q58P and p.I460T resulted in medium-high protein levels and no activity. Variants p.R230C and p.C712S in PCCA, and p.G188A, p.R272W and p.H534R in PCCB retained both partial PCC activity and medium-high protein levels. Available patients-derived fibroblasts carriers of some of these mutations were grown at 28 °C or 37 °C and a slight increase in PCC activity or protein could be detected in some cases at the folding-permissive conditions. Examination of available clinical data showed correlation of the results of the functional analysis with disease severity for most mutations, with some notable exceptions, confirming the notion that the final phenotypic outcome in PA is not easily predicted.
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