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Author

Silvia Dominissini

Bio: Silvia Dominissini is an academic researcher from International Centre for Genetic Engineering and Biotechnology. The author has contributed to research in topics: Mutation & Allele. The author has an hindex of 8, co-authored 10 publications receiving 205 citations.
Topics: Mutation, Allele, Exon, RNA splicing, Gene

Papers
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Journal ArticleDOI
TL;DR: The data demonstrate and confirm the power of molecular and functional analysis in predicting the natural course of Pompe disease and predict the structural alterations potentially induced by the five missense mutations in terms of both function and spatial orientation of specific residues.
Abstract: We characterized 29 unrelated patients presenting with the severe form of Pompe disease (Glycogen Storage Disease Type II, acid maltase deficiency) and identified 26 pathogenic mutations divided over 28 different genotypes. Among the eight new mutations, five were exonic point mutations (c.572A>G, c.1124G>T, c.1202A>G, c.1564C>G and c.1796C>A) leading to codon changes (p.Y191C, p.R375L, p.Q401R, p.P522A and p.S599Y); two were intronic point mutations (c.-32-3C>A and c.1636+5G>C) affecting mRNA processing; one was a single base deletion (c.742delC) generating a truncated protein (p.L248PfsX20). A comprehensive evaluation, based on different methodological approaches, confirmed the detrimental effect of the eight mutations on the protein and its function. Structural alterations potentially induced by the five missense mutations were also predicted through visual inspection of the atomic model of the GAA protein, in terms of both function and spatial orientation of specific residues as well as disturbance generated by amino acid substitutions. Although the remarkable heterogeneity of the mutational spectrum in Pompe disease was already known, our data demonstrate and confirm the power of molecular and functional analysis in predicting the natural course of Pompe disease.

52 citations

Journal ArticleDOI
TL;DR: In silico analysis represents a useful tool to select mutations that affect the splicing process of the acid α-glucosidase gene and provides an updated picture of all this kind of mutations reported till now.
Abstract: Glycogen-storage disease type II is an autosomal recessive-inherited disorder due to the deficiency of acid α-glucosidase. A large number of mutations in the acid α-glucosidase gene have been described to date. Among them, ∼15% are variations that may affect mRNA splicing process. In this study, we have for the first time comprehensively reviewed the available information on splicing mutations of the acid α-glucosidase gene and we have evaluated their possible impact on the splicing process using different in silico approaches. Out of the 39 different GAA-sequence variations described, an in silico analysis using seven different programs showed that 97% of them are predicted to have an impact on the splicing process. Moreover, this analysis showed a quite good correlation between the impact of the mutation on the splicing process and the clinical phenotype. In addition, we have performed the functional characterization of three novel sequence variants found in Italian patients and still uncharacterized. Using a minigene system, we have confirmed their pathogenic nature. In conclusion, this study has shown that in silico analysis represents a useful tool to select mutations that affect the splicing process of the acid α-glucosidase gene and provides an updated picture of all this kind of mutations reported till now.

35 citations

Journal ArticleDOI
TL;DR: RT‐PCR analysis of the c.610–2A>G transition demonstrated that the change altered splicing, leading to the production of two distinct aberrantly spliced forms, supporting the view that the mutational spectrum of the GNPTG gene is strongly influenced by the properties of the local DNA sequence environment.
Abstract: Mucolipidosis type III (MLIII) is an autosomal recessive disorder affecting lysosomal hydrolase trafficking. In a study of 10 patients from seven families with a clinical phenotype and enzymatic diagnosis of MLIII, six novel GNPTG gene mutations were identified. These included missense (p.T286M) and nonsense (p.W111X) mutations and a transition in the obligate AG-dinucleotide of the intron 8 acceptor splice site (c.610–2A>G). Three microdeletions were also identified, two of which (c.611delG and c.640_667del28) were located within the coding region whereas one (c.609+28_610-16del) was located entirely within intron 8. RT-PCR analysis of the c.610–2A>G transition demonstrated that the change altered splicing, leading to the production of two distinct aberrantly spliced forms, viz. the skipping of exon 9 (p.G204_K247del) or the retention of introns 8 and 9 (p.G204VfsX28). RT-PCR analysis, performed on a patient homozygous for the intronic deletion (c.609+28_610-16del), failed to detect any GNPTG RNA transcripts. To determine whether c.609+28_610-16del allele-derived transcripts were subject to nonsense-mediated mRNA decay (NMD), patient fibroblasts were incubated with the protein synthesis inhibitor anisomycin. An RT-PCR fragment retaining 43 bp of intron 8 was consistently detected suggesting that the 33-bp genomic deletion had elicited NMD. Quantitative real-time PCR and GNPTG western blot analysis confirmed that the homozygous microdeletion p.G204VfsX17 had elicited NMD resulting in failure to synthesize GNPTG protein. Analysis of the sequences surrounding the microdeletion breakpoints revealed either intrinsic repetitivity of the deleted region or short direct repeats adjacent to the breakpoint junctions. This is consistent with these repeats having mediated the microdeletions via replication slippage and supports the view that the mutational spectrum of the GNPTG gene is strongly influenced by the properties of the local DNA sequence environment.

34 citations

Journal ArticleDOI
TL;DR: The biochemical and molecular findings in a patient diagnosed with progressive myoclonic epilepsy due to a mistarget of the betaGC, probably caused by a LIMP-2 deficiency are reported, providing valuable information for the diagnosis of this rare disorder.

29 citations

Journal ArticleDOI
TL;DR: The molecular analysis of the glucocerebrosidase gene (GBA) in 58 unrelated patients with GD type 1 was carried out, identifying five novel genetic alterations and a crossover involving the GBA gene and pseudogene between intron 5 and exon 7.
Abstract: Gaucher disease (GD) is the most frequent lysosomal glycolipid storage disorder due to an autosomal recessive deficiency of acid beta-glucosidase characterized by the accumulation of glucocerebroside. In this work we carried out the molecular analysis of the glucocerebrosidase gene (GBA) in 58 unrelated patients with GD type 1. We identified five novel genetic alterations: three missense changes c.187G>A (p.D63N), c.473T>G (p.I158S), c.689T>A (p.V230E), a gene-pseudogene recombinant allele and a non-pseudogene-derived complex allele [c.1379G>A;c.1469A>G] encoding [p.G460D;p.H490R]. All mutant alleles were present as compound heterozygotes in association with c.1226A>G (p.N409S), the most common mutation in GD1. The missense mutant proteins were expressed in vitro in COS-1 cells and analyzed by enzyme activity, protein processing and intracellular localization. Functional studies also included the c.662C>T (p.P221L) mutation recently reported in the Spanish GD population (Montfort et al., 2004). The missense mutant alleles retained an extremely low residual enzyme activity with respect to wild type; the complex allele expressed no activity. Processing of the mutant proteins was unaltered except for c.473T>G which was differently glycosylated due to the exposition of an additional glycosylation site. Immunofluorescence studies showed that protein trafficking into the lysosomes was unaffected in all cases. Finally, the characterization of the novel recombinant allele identified a crossover involving the GBA gene and pseudogene between intron 5 and exon 7.

23 citations


Cited by
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Journal ArticleDOI
TL;DR: The spectrum of GBA mutations and their distribution in the patient population, evolutionary conservation, clinical presentations, and how they may affect the structure and function of glucocerebrosidase are discussed.
Abstract: Gaucher disease (GD) is an autosomal recessive disorder caused by the deficiency of glucocerebrosidase, a lysosomal enzyme that catalyses the hydrolysis of the glycolipid glucocerebroside to ceramide and glucose. Lysosomal storage of the substrate in cells of the reticuloendothelial system leads to multisystemic manifestations, including involvement of the liver, spleen, bone marrow, lungs, and nervous system. Patients with GD have highly variable presentations and symptoms that, in many cases, do not correlate well with specific genotypes. Almost 300 unique mutations have been reported in the glucocerebrosidase gene (GBA), with a distribution that spans the gene. These include 203 missense mutations, 18 nonsense mutations, 36 small insertions or deletions that lead to either frameshifts or in-frame alterations, 14 splice junction mutations, and 13 complex alleles carrying two or more mutations in cis. Recombination events with a highly homologous pseudogene downstream of the GBA locus also have been identified, resulting from gene conversion, fusion, or duplication. In this review we discuss the spectrum of GBA mutations and their distribution in the patient population, evolutionary conservation, clinical presentations, and how they may affect the structure and function of glucocerebrosidase.

578 citations

Journal ArticleDOI
TL;DR: The results suggest genetic influences on a diverse set of both known and novel biological processes that contribute to CAD risk, and highlight potential novel targets for further mechanistic studies and therapeutic interventions.
Abstract: The majority of the heritability of coronary artery disease (CAD) remains unexplained, despite recent successes of genome-wide association studies (GWAS) in identifying novel susceptibility loci. Integrating functional genomic data from a variety of sources with a large-scale meta-analysis of CAD GWAS may facilitate the identification of novel biological processes and genes involved in CAD, as well as clarify the causal relationships of established processes. Towards this end, we integrated 14 GWAS from the CARDIoGRAM Consortium and two additional GWAS from the Ottawa Heart Institute (25,491 cases and 66,819 controls) with 1) genetics of gene expression studies of CAD-relevant tissues in humans, 2) metabolic and signaling pathways from public databases, and 3) data-driven, tissue-specific gene networks from a multitude of human and mouse experiments. We not only detected CAD-associated gene networks of lipid metabolism, coagulation, immunity, and additional networks with no clear functional annotation, but also revealed key driver genes for each CAD network based on the topology of the gene regulatory networks. In particular, we found a gene network involved in antigen processing to be strongly associated with CAD. The key driver genes of this network included glyoxalase I (GLO1) and peptidylprolyl isomerase I (PPIL1), which we verified as regulatory by siRNA experiments in human aortic endothelial cells. Our results suggest genetic influences on a diverse set of both known and novel biological processes that contribute to CAD risk. The key driver genes for these networks highlight potential novel targets for further mechanistic studies and therapeutic interventions.

187 citations

Journal ArticleDOI
TL;DR: It is shown that coincubation of Pompe fibroblasts with recombinant human α-glucosidase and the chaperone N-butyldeoxynojirimycin (NB-DNJ) resulted in more efficient correction of enzyme activity, and synergy between pharmacological chaperones and enzyme replacement is demonstrated.

147 citations

Journal ArticleDOI
TL;DR: A number of features that have statistically significant representation among exonic variants that modulate splicing are identified, highlighting putative mechanisms responsible for splicing outcome and emphasize the role of features important for exon definition.
Abstract: Background Single point mutations at both synonymous and non-synonymous positions within exons can have severe effects on gene function through disruption of splicing. Predicting these mutations in silico purely from the genomic sequence is difficult due to an incomplete understanding of the multiple factors that may be responsible. In addition, little is known about which computational prediction approaches, such as those involving exonic splicing enhancers and exonic splicing silencers, are most informative.

116 citations

Journal ArticleDOI
TL;DR: This work explores how the nature, location and frequency of different types of mutation causing inherited disease are shaped in large part, and often in remarkably predictable ways, by the local DNA sequence environment.
Abstract: Different types of human gene mutation may vary in size, from structural variants (SVs) to single base-pair substitutions, but what they all have in common is that their nature, size and location are often determined either by specific characteristics of the local DNA sequence environment or by higher order features of the genomic architecture. The human genome is now recognized to contain “pervasive architectural flaws” in that certain DNA sequences are inherently mutation prone by virtue of their base composition, sequence repetitivity and/or epigenetic modification. Here, we explore how the nature, location and frequency of different types of mutation causing inherited disease are shaped in large part, and often in remarkably predictable ways, by the local DNA sequence environment. The mutability of a given gene or genomic region may also be influenced indirectly by a variety of noncanonical (non-B) secondary structures whose formation is facilitated by the underlying DNA sequence. Since these non-B DNA structures can interfere with subsequent DNA replication and repair and may serve to increase mutation frequencies in generalized fashion (i.e., both in the context of subtle mutations and SVs), they have the potential to serve as a unifying concept in studies of mutational mechanisms underlying human inherited disease.

110 citations