PubMed Health⌕ Search

Biomedical subjects

S Bortoluzzi

Publications and source records attributed to S Bortoluzzi.

13 recordsLinked to original sources
PubMed2003

Disease genes and intracellular protein networks.

By a computational approach we reconstructed genomic transcriptional profiles of 19 different adult human tissues, based on information on activity of 27,924 genes obtained from unbiased UniGene cDNA libraries. In each considered tissue, a small number of genes resulted highly expressed or "tissue specific." Distribution of gene expression levels in a tissue appears to follow a power law, thus suggesting a correspondence between transcriptional profile and "scale-free" topology of protein networks. The expression of 737 genes involved in Mendelian diseases was analyzed, compared with a large reference set of known human genes. Disease genes resulted significantly more expressed than expected. The possible correspondence of their products to important nodes of intracellular protein network is suggested. Auto-organization of the protein network, its stability in time in the differentiated state, and relationships with the degree of genetic variability at genome level are discussed.

Adult↗
PubMed2001

Detecting differentially expressed genes in multiple tag sampling experiments: comparative evaluation of statistical tests.

The comparison of several statistical methods currently used for detection of differentially expressed genes was attempted both by a simulation approach and by the analysis of data sets of human expressed sequence tags, obtained from UniGene. In the simulated mixed case, mimicking a situation close to reality, the general chi(2) test was unexpectedly the most efficient in multiple tag sampling experiments, especially when dealing with variations affecting weakly expressed genes. On the other hand, Audic and Claverie's method proved the most efficient for detecting differences in gene expression when dealing with pairwise comparisons. By applying the above methods on UniGene-based data sets concerning two human kidney tumours compared with normal kidney tissue, three novel genes overexpressed in these tumours were identified. Software and additional information on statistical methodologies, simulation approach and data are available at http://telethon.bio.unipd.it/bioinfo/IDEG6/.

Animals↗
PubMed2001

DHPLC analysis of the MECP2 gene in Italian Rett patients.

Rett Syndrome (RTT) is an X-linked dominant neurodevelopmental disorder, which almost exclusively affects girls, with an estimated prevalence of one in 10,000-15,000 female births. Mutations in the methyl CpG binding protein 2 gene (MECP2) have been identified in roughly 75% of classical Rett girls. The vast majority of Rett cases (99%) are sporadic in origin, and are due to de novo mutations. We collected DNA samples from 50 Italian classical Rett girls, and screened the MECP2 coding region for mutations by denaturing high-performance liquid chromatography (DHPLC) and subsequent direct sequencing. DHPLC is a recently developed method for mutation screening which identifies heteroduplexes formed in DNA samples containing mismatches between wild type and mutant DNA strands, combining high sensitivity, reduced cost per run, and high throughput. In our series, 19 different de novo MECP2 mutations, eight of which were previously unreported, were found in 35 out of 50 Rett girls (70%). Seven recurrent mutations were characterized in a total of 22 unrelated cases. Initial DHPLC screening allowed the identification of 17 out of 19 different mutations (90%); after optimal conditions were established, this figure increased to 100%, with all recurrent MECP2 mutations generating a characteristic chromatographic profile. Detailed clinical data were available for 27 out of 35 mutation carrying Rett girls. Milder disease was detectable in patients carrying nonsense mutation as compared to patients carrying missense mutations, although this difference was not statistically significant (P = 0.077).

Chromatography, High Pressure Liquid↗
PubMed2001

Differential expression of genes coding for ribosomal proteins in different human tissues.

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. AVAILABILITY: 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

Adult↗
PubMed2000

Characterization of C14orf4, a novel intronless human gene containing a polyglutamine repeat, mapped to the ARVD1 critical region.

Within the ARVD1 (arrhythmogenic right ventricular dysplasia/cardiomyopathy, type 1) critical region, mapped to 14q24.3, we detected an intronless gene of 4859 bp, predominantly expressed in the heart tissue. This gene encodes a 796-amino-acid, proline-rich protein showing polyglutamine and polyalanine tracks with variable length at the N-terminus and a C3HC4 RING finger domain at the C-terminus. CREB and AP-2 binding sites are present in the promoter region. The 5' flanking region contains neither a TATA box nor a CAAT box, but it is high in GC content and includes several Sp1 binding sites. Protein similarity searches revealed a significant match between the C-terminus and a human hypothetical protein, whose gene is located on the chromosome 19 long arm. The predicted protein shows PEST sequences, suggesting its rapid degradation. The novel intronless gene, provisionally named C14orf4 and probably encoding a nuclear protein, was excluded from being the ARVD1 gene.

Amino Acid Sequence↗
PubMed2000

A computational reconstruction of the adult human heart transcriptional profile.

The reconstruction of the transcriptional profile of the adult human heart was attempted, by applying a bioinformatic and computational approach to UniGene data. A catalogue of 2077 expressed genes was produced. Over 1000 entries of the catalogue corresponded to putative novel genes. Highly expressed genes accounted for about 20% of the total. Almost all genes expressed in adult heart resulted to be active in at least one additional tissue and about 90% were found in over five additional tissues. A genomic map of 1364 genes expressed in heart, which also indicated chromosomal location, was produced, which could be conveniently used for the discovery of the determinants of gene-orphan heart diseases and for the detection of clusters of highly expressed genes. The catalogue and the genomic map of genes expressed in adult human heart are available on Internet at the sites: http://telethon.bio.unipd.it/GETProfiles/heart and http://telethon.bio.unipd.it/GETMaps/heart.

Adult↗
PubMed2000

The human adult skeletal muscle transcriptional profile reconstructed by a novel computational approach.

By applying a novel software tool, information on 4080 UniGene clusters was retrieved from three adult human skeletal muscle cDNA libraries, which were selected for being neither normalized nor subtracted. Reconstruction of a transcriptional profile of the corresponding tissue was attempted by a computational approach, classifying each transcript according to its level of expression. About 25% of the transcripts accounted for about 80% of the detected transcriptional activity, whereas most genes showed a low level of expression. This in silico transcriptional profile was then compared with data obtained by a SAGE study. A fairly good agreement between the two methods was observed. About 400 genes, highly expressed in skeletal muscle or putatively skeletal muscle-specific, may represent the minimal set of genes needed to determine the tissue specificity. These genes could be used as a convenient reference to monitor major changes in the transcriptional profile of adult human skeletal muscle in response to different physiological or pathological conditions, thus providing a framework for designing DNA microarrays and initiating biological studies.

Adult↗
PubMed2000

A novel resource for the study of genes expressed in the adult human retina.

PURPOSE: To reconstruct the transcriptional profile of the human adult retina and the genomic map of the genes expressed in this tissue. METHODS: Original software was used for the retrieval and analysis of records from UniGene (http://www.ncbi.nlm.nih. gov/UniGene/) pertaining to selected cDNA libraries from adult human retina. RESULTS: The 4974 genes reported so far to be expressed in retina were included in a catalog available on the Internet. For each entry, an estimation of the level of expression of the corresponding gene in the retina was provided. A high-resolution genomic map of the human retina was built up by inclusion of 3152 genes showing a precise and unique map assignment. The correspondence was established between 53 gene-orphan retinal diseases and clusters of genes expressed in the retina. CONCLUSIONS: The in silico reconstruction of the transcriptional profile of the adult human retina provides preliminary information on the pattern of genomic expression in this tissue. The chromosomal location of many retinal genes, combined with their expression data, should speed up the identification of genes involved in retinal diseases.

Adult↗
PubMed1998

A comprehensive, high-resolution genomic transcript map of human skeletal muscle.

We present the Human Muscle Gene Map (HMGM), the first comprehensive and updated high-resolution expression map of human skeletal muscle. The 1078 entries of the map were obtained by merging data retrieved from UniGene with the RH mapping information on 46 novel muscle transcripts, which showed no similarity to any known sequence. In the map, distances are expressed in megabase pairs. About one-quarter of the map entries represents putative novel genes. Genes known to be specifically expressed in muscle account for <4% of the total. The genomic distribution of the map entries confirmed the previous finding that muscle genes are selectively concentrated in chromosomes 17, 19, and X. Five chromosomal regions are suspected to have a significant excess of muscle genes. Present data support the hypothesis that the biochemical and functional properties of differentiated muscle cells may result from the transcription of a very limited number of muscle-specific genes along with the activity of a large number of genes, shared with other tissues, but showing different levels of expression in muscle. [The sequence data described in this paper have been submitted to the EMBL data library under accession nos. F23198-F23242.]

Chromosome Mapping↗
PubMed1997

The preliminary transcript map of a human skeletal muscle.

By sequencing 11,405 individual expressed sequence tags (ESTs) from a cDNA library of a human skeletal muscle, we identified 1945 individual transcripts, 725 of which showed no correspondence with known human genes. We report here the chromosomal localization of 267 of these, obtained by radiation hybrid (RH) mapping. The map position of additional 242 ESTs from the same library, corresponding to known human genes, is also reported. The resulting information provides a preliminary genomic transcriptional profile of a human muscle. Several genes occur in clusters on different chromosomes. Moreover, chromosomes 17, 19, 21 and X appear to be significantly rich in muscle ESTs. By analysing several collections of ESTs from different tissues, we observed significant deviations in the distribution of ESTs by chromosome in fetal heart, adult brain and adult retina, supporting the hypothesis that a non-random localization of genes expressed in specific tissues might not be uncommon. The selective concentration of expressed genes in some chromosomes and in specific chromosomal subregions in a given tissue might reflect the existence of batteries of genes under the same control mechanisms, regulating tissue-specific gene expression.

Chromosome Mapping↗
PubMed1997

Chromosomal localization of four MAPK signaling cascade genes: MEK1, MEK3, MEK4 and MEKK5.

The mitogen-activated protein kinase (MAPK) signaling cascade is one of the most important mechanisms for the cytoplasmic transduction of extracellular signals. We report the chromosomal localization of the human MEK1, MEK3, MEK4 and MEKK5 genes, involved in the MAPK cascade. Using radiation hybrid mapping, MEK1 was assigned to chromosome 15q22.1 --> q22.33, MEK3 to chromosome 17q11.2, MEK4 to chromosome 17p12, and MEKK5 to chromosome 6q22.33.

Animals↗
PubMedDate not supplied

Characterization of thin layers of glucose oxidase.

Glucose Oxidase (GOD) has been covalently bound to functionalized glass cover slips. The surface density of immobilized GOD molecules was measured by a method based on the amperometric determination of Flavin Adenine Dinucleotide (FAD). Atomic Force Microscopy (AFM) images, obtained in aqueous solution for the covalently bound enzyme, show a monomolecular layer of the enzyme on a functionalized glass surface. The catalytic constants were measured for the immobilized GOD and compared with those of the free enzyme.

Glass↗