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Dive into the research topics where Silvia Pierandrei is active.

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Featured researches published by Silvia Pierandrei.


Genetics in Medicine | 2010

A new complex allele of the CFTR gene partially explains the variable phenotype of the L997F mutation

Marco Lucarelli; L. Narzi; Silvia Pierandrei; Sabina Maria Bruno; A. Stamato; Miriam D'Avanzo; Roberto Strom; Serena Quattrucci

Purpose: To evaluate the role of complex alleles, with two or more mutations in cis position, of the cystic fibrosis transmembrane conductance regulator (CFTR) gene in the definition of the genotype-phenotype relationship in cystic fibrosis (CF), and to evaluate the functional significance of the highly controversial L997F CFTR mutation.Methods: We evaluated the diagnosis of CF or CFTR-related disorders in 12 unrelated subjects with highly variable phenotypes. According to a first CFTR mutational analysis, subjects appeared to be compound heterozygotes for a classic mutation and the L997F mutation. A further CFTR mutational analysis was conducted by means of a protocol of extended sequencing, particularly suited to the detection of complex alleles.Results: We detected a new [R117L; L997F] CFTR complex allele in the four subjects with the highest sweat test values and CF. The eight subjects without the complex allele showed the most varied biochemical and clinical outcome and were diagnosed as having mild CF, CFTR-related disorders, or even no disease.Conclusions: The new complex allele partially explains the variable phenotype in CF subjects with the L997F mutation. CFTR complex alleles are likely to have a role in the definition of the genotype-phenotype relationship in CF. Whenever apparently identical CFTR-mutated genotypes are found in subjects with divergent phenotypes, an extensive mutational search is mandatory.


Molecular Medicine | 2015

A Genotypic-Oriented View of CFTR Genetics Highlights Specific Mutational Patterns Underlying Clinical Macrocategories of Cystic Fibrosis.

Marco Lucarelli; Sabina Maria Bruno; Silvia Pierandrei; Giampiero Ferraguti; A. Stamato; F. Narzi; Annalisa Amato; Giuseppe Cimino; Serenella Bertasi; Serena Quattrucci; Roberto Strom

Cystic fibrosis (CF) is a monogenic disease caused by mutations of the cystic fibrosis transmembrane conductance regulator (CFTR) gene. The genotype-phenotype relationship in this disease is still unclear, and diagnostic, prognostic and therapeutic challenges persist. We enrolled 610 patients with different forms of CF and studied them from a clinical, biochemical, microbiological and genetic point of view. Overall, there were 125 different mutated alleles (11 with novel mutations and 10 with complex mutations) and 225 genotypes. A strong correlation between mutational patterns at the genotypic level and phenotypic macrocategories emerged. This specificity appears to largely depend on rare and individual mutations, as well as on the varying prevalence of common alleles in different clinical macrocategories. However, 19 genotypes appeared to underlie different clinical forms of the disease. The dissection of the pathway from the CFTR mutated genotype to the clinical phenotype allowed to identify at least two components of the variability usually found in the genotype-phenotype relationship. One component seems to depend on the genetic variation of CFTR, the other component on the cumulative effect of variations in other genes and cellular pathways independent from CFTR. The experimental dissection of the overall biological CFTR pathway appears to be a powerful approach for a better comprehension of the genotype-phenotype relationship. However, a change from an allele-oriented to a genotypic-oriented view of CFTR genetics is mandatory, as well as a better assessment of sources of variability within the CFTR pathway.


Clinical Chemistry and Laboratory Medicine | 2011

A template for mutational data analysis of the CFTR gene

Giampiero Ferraguti; Silvia Pierandrei; Sabina Maria Bruno; Fabrizio Ceci; Roberto Strom; Marco Lucarelli

Abstract Background: Automated DNA sequencing produces large amounts of data that need to be analyzed by appropriate software. Personalization of software can be a difficult and time-consuming task, especially if a large number of mutations have to be analyzed. Methods: The Applied BioSystems SeqScape software, based on the KB basecaller algorithm, is a versatile tool that can be used for mutational analysis and for data quality assessment of sequences belonging to any gene of interest. Using this software we analyzed over 1400 sequences of CFTR exons and adjacent intronic zones, representing over 500,000 bases. Results: We present an up to date specific template and a linked set of instructions for automated labeling of all point mutations and polymorphisms of the CFTR gene, whose mutations cause cystic fibrosis (the most common genetic disease among Caucasian individuals). We also describe our refined software settings for mutational analysis, in order to keep to a minimum the need of manual validation. Conclusions: The use of our template greatly simplifies the mutational analysis of the CFTR gene, reducing human intervention. In our opinion, it might not only be useful to researchers that already perform CFTR mutational analysis by sequencing methods but it should also improve the approach in those laboratories that already use ABI PRISM instrumentation for a limited mutational analysis of the CFTR gene. Similar mutational templates can also be used for other disease causing genes, thus improving molecular genetics protocols.


Gene Therapy | 2010

CFTR expression and activity from the human CFTR locus in BAC vectors, with regulatory regions, isolated by a single-step procedure

Cristina Auriche; E G Di Domenico; Silvia Pierandrei; Marco Lucarelli; S Castellani; Massimo Conese; R Melani; O Zegarra-Moran; Fiorentina Ascenzioni

We have assembled two BAC vectors containing a single fragment spanning the entire CFTR locus and including the upstream and downstream regions. The two vectors differ in size of the upstream region, and were recovered in Escherichia coli, with intact BAC DNAs prepared for structural and functional analyses. Sequence analysis allowed precise mapping of the inserts. We show that the CFTR gene was wild type and is categorized as the most frequent haplotype in Caucasian populations, identified by the following polymorphisms: (GATT)7 in intron 6a; (TG)11T7 in intron 8; V470 at position 470. CFTR expression and activity were analyzed in model cells by RT-PCR, quantitative real-time PCR, western blotting, indirect immunofluorescence and electrophysiological methods, which show the presence of an active CFTR Cl − channel. Finally, and supporting the hypothesis that CFTR functions as a receptor for Pseudomonas aeruginosa, we show that CFTR-expressing cells internalized more bacteria than parental cells that do not express CFTR. Overall, these data demonstrate that the BAC vectors contain a functional CFTR fragment and have unique features, including derivation from a single fragment, availability of a detailed genomic map and the possibility to use standard extraction procedures for BAC DNA preparations.


Primates | 2017

Polymorphism of the 3'-UTR of the dopamine transporter gene (DAT) in New World monkeys.

Marco Lucarelli; Elisabetta Visalberghi; Walter Adriani; Elsa Addessi; Silvia Pierandrei; Arianna Manciocco; Francesca Zoratto; Andrea Tamellini; Augusto Vitale; Giovanni Laviola; Jessica Lynch Alfaro; Esterina Pascale

Genetic polymorphism in the 3′-untranslated region (3′-UTR) of the dopamine transporter (DAT) gene has been reported in both human and nonhuman primates, and the variable number of tandem repeats (VNTR) polymorphism has been related to several neurological and psychiatric disorders. As New World primates have been employed as models in biomedical research in these fields, in the present study we assessed genetic variation in the DAT gene in 25 robust capuchin monkeys (Sapajus spp.) and 39 common marmosets (Callithrix jacchus). Using enzymatic amplification followed by sequencing of amplified fragments, a VNTR polymorphism in the 3′-UTR region of the DAT gene was identified in both robust capuchins and common marmosets. The polymorphic tandem repeat of 40-bp basic units is similar to the human VNTR consensus sequence, with size variants composed of 9, 10, and 11 units in marmosets and 8, 9, 13, and 17 basic units in capuchins. We found behavioral evidence that carrying the 10-repeat DAT allele promotes flexible choice and maximization of foraging in marmosets tested in an operant choice paradigm. Moreover, in an intertemporal choice task, capuchins with longer repeat variants show less self-controlled choices than capuchins with at least one short repeat variant. Future research should focus on the relationship between these DAT polymorphisms, dopamine reuptake via the dopamine transporter, and behavioral and cognitive variation across New World monkey individuals.


The Journal of Molecular Diagnostics | 2016

The Impact on Genetic Testing of Mutational Patterns of CFTR Gene in Different Clinical Macrocategories of Cystic Fibrosis

Marco Lucarelli; Sabina Maria Bruno; Silvia Pierandrei; Giampiero Ferraguti; Giancarlo Testino; Gessica Truglio; Roberto Strom; Serena Quattrucci

More than 2000 sequence variations of the cystic fibrosis transmembrane conductance regulator gene are known. The marked genetic heterogeneity, poor functional characterization of the vast majority of sequence variations, and an uncertain genotype-phenotype relationship complicate the definition of mutational search strategies. We studied the effect of the marked genetic heterogeneity detected in a case series comprising 610 patients of cystic fibrosis (CF), grouped in different clinical macrocategories, on the operative characteristics of the genetic test designed to fully characterize CF patients. The detection rate in each clinical macrocategory and at each mutational step was found to be influenced by genetic heterogeneity. The definition of a single mutational panel that is suitable for all clinical macrocategories proved impossible. Only for classic CF with pancreas insufficiency did a reduced number of mutations yield a detection rate of diagnostic value. All other clinical macrocategories required an extensive genetic search. The search for specific mutational classes appears to be useful only in specific CF clinical forms. A flowchart defining a mutational search that may be adopted for different CF clinical forms, optimized in respect to those already available, is proposed. The findings also have consequences for carrier screening strategies.


Neuroscience Letters | 2019

DAT gene polymorphisms (rs28363170, rs393795) and levodopa-induced dyskinesias in Parkinson's disease

Carlo Purcaro; Nicola Vanacore; Federica Moret; Maria Elena Di Battista; Alfonso Rubino; Silvia Pierandrei; Marco Lucarelli; Giuseppe Meco; Francesco Fattapposta; Esterina Pascale

L-dopa-induced dyskinesias (LID) is a common motor side effect of levodopa therapy of Parkinsons disease (PD). The identified predictors may only partially account for the risk of developing LID and genetic factors may contribute to this variability. The present study is aimed to investigate whether polymorphisms in the dopamine transporter gene (DAT) are associated with the risk of developing LID. Genotyping of the 40-bp VNTR (rs28363170) and rs393795 (A/C) polymorphisms of the DAT gene was performed in a well-characterized cohort of 181 Italian PD patients in treatment with L-DOPA for 3 years or more. The results of our study show that there is no difference in dyskinesias prevalence among carriers of the two DAT gene polymorphisms. However, the combination of the two genotypes 10R/10R (rs28363170) and A carrier (rs393795) of the DAT gene reduces the risk of LID occurrence during long-term therapy with l-DOPA with respect to the PD subjects who did not carry these alleles (OR = 0.31; 95% CI, 0.09-0.88). Also based on a logistic regression analysis, the 10R/10R and the A carrier allele of the rs393795 polymorphisms of the DAT gene, could reduce the susceptibility to develop LID during levodopa therapy adjusted by demographical and clinical variables (OR = 0.19; 95% CI, 0.05-0.69). Additional studies further investigating the rs28363170 and rs393795 polymorphisms with LID in PD are needed to clarify their role in different ethnicities.


Molecular therapy. Nucleic acids | 2016

The Gene Targeting Approach of Small Fragment Homologous Replacement (SFHR) Alters the Expression Patterns of DNA Repair and Cell Cycle Control Genes

Silvia Pierandrei; Andrea Luchetti; Massimo Sanchez; Giuseppe Novelli; Federica Sangiuolo; Marco Lucarelli

Cellular responses and molecular mechanisms activated by exogenous DNA that invades cells are only partially understood. This limits the practical use of gene targeting strategies. Small fragment homologous replacement (SFHR) uses a small exogenous wild-type DNA fragment to restore the endogenous wild-type sequence; unfortunately, this mechanism has a low frequency of correction. In this study, we used a mouse embryonic fibroblast cell line with a stably integrated mutated gene for enhanced green fluorescence protein. The restoration of a wild-type sequence can be detected by flow cytometry analysis. We quantitatively analyzed the expression of 84 DNA repair genes and 84 cell cycle control genes. Peculiar temporal gene expression patterns were observed for both pathways. Different DNA repair pathways, not only homologous recombination, as well as the three main cell cycle checkpoints appeared to mediate the cellular response. Eighteen genes were selected as highly significant target/effectors of SFHR. We identified a wide interconnection between SFHR, DNA repair, and cell cycle control. Our results increase the knowledge of the molecular mechanisms involved in cell invasion by exogenous DNA and SFHR. Specific molecular targets of both the cell cycle and DNA repair machineries were selected for manipulation to enhance the practical application of SFHR.


Archive | 2012

The Genetics of CFTR: Genotype - Phenotype Relationship, Diagnostic Challenge and Therapeutic Implications

Marco Lucarelli; Silvia Pierandrei; Sabina Maria Bruno; Roberto Strom


Archive | 2008

High-throughput mutational analysis, complex alleles and genotype – phenotype relationship in Cystic Fibrosis

Giampiero Ferraguti; Silvia Pierandrei; Fabrizio Ceci; Marco Lucarelli; L. Narzi; A. Stamato; Sabina Maria Bruno; Serena Quattrucci; Roberto Strom; D. Frattolillo

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Marco Lucarelli

Sapienza University of Rome

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Roberto Strom

Sapienza University of Rome

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Serena Quattrucci

Sapienza University of Rome

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Sabina Maria Bruno

Sapienza University of Rome

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L. Narzi

Sapienza University of Rome

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A. Stamato

Sapienza University of Rome

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Giuseppe Cimino

Sapienza University of Rome

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Annalisa Amato

Istituto Superiore di Sanità

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Esterina Pascale

Sapienza University of Rome

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