Guido Danieli

Prof. Guido Danieli

University of Calabria, Cosenza, Italy
orcid

Research Focus & Metrics

Academic Career Length

53Years (1974-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2001 in Human Molecular Genetics
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Natascia TisoNatascia Tiso
Natascia Tiso
DSDietrich A. Stephan
Dietrich A. Stephan
ANAndrea Nava
Andrea Nava
ABAlessia Bagattin
Alessia Bagattin
JDJoseph M. Devaney
Joseph M. Devaney
ARAlessandra Rampazzo
Alessandra Rampazzo
Arrhythmogenic right ventricular dysplasia type 2 (ARVD2, OMIM 600996) is an autosomal dominant cardiomyopathy, characterized by partial degeneration of the myocardium of the right ventricle, electrical instability and sudden death. The disease locus was mapped to chromosome 1q42–q43. We report here on the physical mapping of the critical ARVD2 region, exclusion of two candidate genes (actinin 2 and nidogen), elucidation of the genomic structure of the cardiac ryanodine receptor gene (RYR2) and identification of RYR2 mutations in four independent families. In myocardial cells, the RyR2 protein, activated by Ca2+, induces the release of calcium from the sarcoplasmic reticulum into the cytosol. RyR2 is the cardiac counterpart of RyR1, the skeletal muscle ryanodine receptor, involved in malignant hyperthermia (MH) susceptibility and in central core disease (CCD). The RyR2 mutations detected in the present study occurred in two highly conserved regions, strictly corresponding to those where mutations causing MH or CCD are clustered in the RYR1 gene. The detection of RyR2 mutations causing ARVD2, reported in this paper, opens the way to pre-symptomatic detection of carriers of the disease in childhood, thus enabling early monitoring and treatment.

1 November 2002 in The American Journal of Human Genetics
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Journal Article
Closed access
ARAlessandra Rampazzo
Alessandra Rampazzo
ANAndrea Nava
Andrea Nava
SMSandro Malacrida
Sandro Malacrida
GBGiorgia Beffagna
Giorgia Beffagna
BBBarbara Bauce
Barbara Bauce
Guido DanieliGuido Danieli
Guido Danieli

1 December 2001 in Bioinformatics
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Stefania BortoluzziStefania Bortoluzzi
Stefania Bortoluzzi
FDF. D’aLessi
F. D’aLessi
CRChiara Romualdi
Chiara Romualdi
Guido DanieliGuido Danieli
Guido Danieli
Motivation: To perform a computational and statistical study on a large set of gene expression data pertaining six adult human tissues (brain, liver, skeletal muscle, ovary, retina and uterus) for analyzing the expression of ribosomal protein genes. Results: Unexpectedly, in each of the considered tissues large variations in the expression of ribosomal protein genes were observed. Moreover, when comparing the expression levels of 89 ribosomal protein genes in six different tissues, 13 genes appeared differentially expressed among tissues. Avalilability: The expression data of the ribosomal protein genes together with supplementary material (complete transcriptional profiles of the considered human tissues) are freely available at the site GETProfiles (http://telethon.bio.unipd.it/GETProfiles/). Contact: danieli@bio.unipd.it * To whom all correspondence should be addressed.

15 November 2007 in BMC Bioinformatics
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FFFrancesco Ferrari
Francesco Ferrari
Stefania BortoluzziStefania Bortoluzzi
Stefania Bortoluzzi
ACAlessandro Coppe
Alessandro Coppe
ASAlexandra Sirota
Alexandra Sirota
MSMarilyn Safran
Marilyn Safran
SBSilvio Bicciato
Silvio Bicciato
Improvements in genome sequence annotation revealed discrepancies in the original probeset/gene assignment in Affymetrix microarray and the existence of differences between annotations and effective alignments of probes and transcription products. In the current generation of Affymetrix human GeneChips, most probesets include probes matching transcripts from more than one gene and probes which do not match any transcribed sequence. We developed a novel set of custom Chip Definition Files (CDF) and the corresponding Bioconductor libraries for Affymetrix human GeneChips, based on the information contained in the GeneAnnot database. GeneAnnot-based CDFs are composed of unique custom-probesets, including only probes matching a single gene. GeneAnnot-based custom CDFs solve the problem of a reliable reconstruction of expression levels and eliminate the existence of more than one probeset per gene, which often leads to discordant expression signals for the same transcript when gene differential expression is the focus of the analysis. GeneAnnot CDFs are freely distributed and fully compliant with Affymetrix standards and all available software for gene expression analysis. The CDF libraries are available from http://www.xlab.unimo.it/GA_CDF , along with supplementary information (CDF libraries, installation guidelines and R code, CDF statistics, and analysis results).

1 August 2008 in Mechanism and Machine Theory
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Journal Article
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Erika OttavianoErika Ottaviano
Erika Ottaviano
Domenico MundoDomenico Mundo
Domenico Mundo
Guido DanieliGuido Danieli
Guido Danieli
Marco CeccarelliMarco Ceccarelli
Marco Ceccarelli

26 October 2007 in BMC Medical Genetics
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GBGiorgia Beffagna
Giorgia Beffagna
Marzia De BortoliMarzia De Bortoli
Marzia De Bortoli
ANAndrea Nava
Andrea Nava
MSMichela Salamon
Michela Salamon
ALAlessandra Lorenzon
Alessandra Lorenzon
Alessandra RampazzoAlessandra Rampazzo
Alessandra Rampazzo
Background: Mutations in genes encoding desmosomal proteins have been reported to cause arrhythmogenic right ventricular cardiomyopathy (ARVC), an autosomal dominant disease characterised by progressive myocardial atrophy with fibro-fatty replacement. We screened 54 ARVC probands for mutations in desmocollin-2 (DSC2), the only desmocollin isoform expressed in cardiac tissue. Methods: Mutation screening was performed by denaturing high-performance liquid chromatography and direct sequencing. To evaluate the pathogenic potentials of the DSC2 mutations detected in patients affected with ARVC, full-length wild-type and mutated cDNAs were cloned in eukaryotic expression vectors to obtain a fusion protein with green fluorescence protein (GFP); constructs were transfected in neonatal rat cardiomyocytes and in HL-1 cells. Results: We identified two heterozygous mutations (c.304G>A (p.E102K) and c.1034T>C (p.I345T)) in two probands and in four family members. The two mutations p.E102K and p.I345T map to the N-terminal region, relevant to adhesive interactions. In vitro functional studies demonstrated that, unlike wild-type DSC2, the two N-terminal mutants are predominantly localised in the cytoplasm. Conclusion: The two missense mutations in the N-terminal domain affect the normal localisation of DSC2, thus suggesting the potential pathogenic effect of the reported mutations. Identification of additional DSC2 mutations associated with ARVC may result in increased diagnostic accuracy with implications for genetic counseling.