Biomedical subjects

L Milanesi

Publications and source records attributed to L Milanesi.

At least 19 recordsLinked to original sources

PubMed2001

Presence of estrogens and estrogen receptor-like proteins in Solanum glaucophyllum.

The synthesis of mammalian steroid hormones by plants has been reported. However, their physiological role in plants is controversial. The existence of receptor molecules as those of animal cells could provide clues into a possible steroid mechanism of action. Solanum glaucophyllum callus cultures were found to contain not only 17beta-estradiol and estrone but also abundant estrogen binding sites. These sites were specific for 17beta-estradiol ( approximately 550 fmol/mg protein) and could also be competed by the known estrogen receptor (ER) agonist diethylstilbestrol. Antibodies directed against specific sequences of the classical ER alpha isoform, labelled a approximately 67 kDa band which comigrated with the mammalian ER alpha antigen. ER alpha-like proteins were tested positive as estrogen binders in Ligand blot experiments using 17beta-estradiol macromolecular derivatives as ligands. Our results provide first evidences on the existence of estrogen binding proteins structurally related to the mammalian ER alpha subtype in a higher plant system.

Animals↗

PubMed2001

Effect of culture conditions on the synthesis of vitamin D(3) metabolites in Solanum glaucophyllum grown in vitro.

In cultured Solanum glaucophyllum we have recently described the operation of a light-independent pathway of 1alpha,25-dihydroxy-vitamin D(3) (1alpha,25(OH)(2)D(3)) biosynthesis which involves similar intermediates as in vertebrates. In this work we investigated factors influencing the formation of 1alpha,25(OH)(2)D(3) and related sterols in S. glaucophyllum grown in vitro in darkness. Callus tissue and cells cultured in Murashige and Skoog medium in the absence of light were employed. Lipids were extracted with chloroform-methanol. The remaining water soluble fraction was incubated with beta-glucosidase to release vitamin D(3) compounds from their glycoconjugated derivatives followed by organic solvent extraction. Vitamin D(3) derivatives were isolated by Sephadex LH-20 and high-performance liquid chromatography (HPLC). HPLC or competitive protein binding assays with intestine 1alpha,25(OH)(2)D(3) receptor and serum vitamin D binding protein were used to quantify the metabolites. The levels of 1alpha,25(OH)(2)D(3) in calli varied according to the tissue explant origin, e.g. stem>leaf>fruit. For all organs, the metabolite was mainly present as free sterol (>80% of total). There were larger amounts of 25(OH)D(3) than 1alpha,25(OH)(2)D(3). It was found that Ca(2+), auxin and kinetin are important factors upregulating 1alpha,25(OH)(2)D(3) synthesis in S. glaucophyllum tissue and cells. Irradiation with UV light increased vitamin D(3) but not 1alpha,25(OH)(2)D(3) levels. In agreement with these results, incubation of cells with [3H]25(OH)D(3) revealed a low conversion rate to [3H]1alpha,25(OH)(2)D(3). The operation of a light-dependent pathway formation of vitamin D(3) coupled to higher expression of 25(OH)D(3)-1alpha-hydroxylase may account for the large concentrations of 1alpha,25(OH)(2)D(3) normally found in differentiated field-grown plants.

Calcifediol↗

PubMed2001

Presence of ATG triplets in 5' untranslated regions of eukaryotic cDNAs correlates with a 'weak' context of the start codon.

MOTIVATION: The context of the start codon (typically, AUG) and the features of the 5' Untranslated Regions (5' UTRs) are important for understanding translation regulation in eukaryotic mRNAs and for accurate prediction of the coding region in genomic and cDNA sequences. The presence of AUG triplets in 5' UTRs (upstream AUGs) might effect the initiation rate and, in the context of gene prediction, could reduce the accuracy of the identification of the authentic start. To reveal potential connections between the presence of upstream AUGs and other features of 5' UTRs, such as their length and the start codon context, we undertook a systematic analysis of the available eukaryotic 5' UTR sequences. RESULTS: We show that a large fraction of 5' UTRs in the available cDNA sequences, 15-53% depending on the organism, contain upstream ATGs. A negative correlation was observed between the information content of the translation start signal and the length of the 5' UTR. Similarly, a negative correlation exists between the 'strength' of the start context and the number of upstream ATGs. Typically, cDNAs containing long 5' UTRs with multiple upstream ATGs have a 'weak' start context, and in contrast, cDNAs containing short 5' UTRs without ATGs have 'strong' starts. These counter-intuitive results may be interpreted in terms of upstream AUGs having an important role in the regulation of translation efficiency by ensuring low basal translation level via double negative control and creating the potential for additional regulatory mechanisms. One of such mechanisms, supported by experimental studies of some mRNAs, includes removal of the AUG-containing portion of the 5' UTR by alternative splicing. AVAILABILITY: An ATG_ EVALUATOR program is available upon request or at www.itba.mi.cnr.it/webgene. CONTACT: rogozin@ncbi.nlm.nih.gov, milanesi@itba.mi.cnr.it.

5' Untranslated Regions↗

PubMed2000

Nicotiana glauca: another plant species containing vitamin D(3) metabolites.

Vitamin D(3)-related compounds have been detected in various plant species, mostly belonging to the Solanaceae. In this work we show that Nicotiana glauca, a widespread member of this taxonomic family, contains 7-dehydrocholesterol, vitamin D(3) and hydroxylated derivatives bearing precursor-product metabolic relationships in vertebrates. Leaves collected in the field and callus cultures were used. By means of specific radioreceptor binding assays and mass spectrometry of purified fractions obtained from plant tissue lipid extracts by Sephadex LH-20 and Sep-Pak C18 chromatography followed by HPLC, we established the presence of 7-dehydrocholesterol, vitamin D(3), 25(OH)-vitamin D(3) and 1alpha,25(OH)(2)-vitamin D(3) (1alpha,25(OH)(2)D(3)), the latter being a hormonally relevant metabolite in animals. These results indicate that N. glauca may represent a useful species in which to characterize the biosynthetic pathway and physiological functions of vitamin D(3) compounds in plants. In addition, tissue culture of N. glauca could become a significant tool for biotechnological production of 1alpha,25(OH)(2)D(3).

Journal Article↗

PubMed2000

Prediction and phylogenetic analysis of mammalian short interspersed elements (SINEs).

The presence of repetitive elements can create serious problems for sequence analysis, especially in the case of homology searches in nucleotide sequence databases. Repetitive elements should be treated carefully by using special programs and databases. In this paper, various aspects of SINE (short interspersed repetitive element) identification, analysis and evolution are discussed.

Animals↗

PubMed1999

Protein-coding regions prediction combining similarity searches and conservative evolutionary properties of protein-coding sequences.

The gene identification procedure in a completely new gene with no good homology with protein sequences can be a very complex task. In order to identify the protein-coding region, a new method, 'SYNCOD', based on the analysis of conservative evolutionary properties of coding regions, has been realized. This program is able to identify and use the coding region homologies of the non-annotated (unknown) protein-coding sequences already present in the nucleotide sequence databases by using the alignment produced by BLASTN. The ratio of number mismatches resulting in synonymous codons to the number of mismatches resulting in non-synonymous codons is estimated for each open reading frame. Monte Carlo simulations are then used to estimate the significance of the ratio deviation from random behavior. The SYNCOD program has been tested on generated random sequences and on different control sets. The high accuracy of predicting protein-coding regions (the correlation coefficient, CC, varies from 0.67 to 0.79) and the high specificity (the portion of wrong exons, WE, varies from 0.06 to 0.07) have proved to be important features of the suggested approach. The SYNCOD program is resident on the ITBA-CNR Web Server and can be used via the Internet (URL: www.itba.mi.cnr.it/webgene).

Algorithms↗

PubMed1998

The subclass approach for mutational spectrum analysis: application of the SEM algorithm.

Analysis and comparison of mutational spectra represents an important problem in molecular biology. To analyse a mutational spectra we apply an algorithm based on the SEM subclass approach (Simulation, Expectation, Maximization). The algorithm tries to classify the mutational sites according to different mutation probabilities, and each site should belong to one class. Each class is approximated by binomial distribution and thus any real mutational spectrum is regarded as a mixture of binomial distributions. The separation process runs iteratively. Each iteration includes the simulation, maximization and estimation procedures. To evaluate the quality of the classification results, the X2 test is used. The algorithm has been checked on random spectra with preset parameters and on real mutational spectra. As has been shown, 17 out of 19 analysed real mutational spectra can be divided into two or more classes of sites, of which one contains hotspots of mutation. For the G:C-->A:T mutational spectra induced by Sn1 alkylating mutagenes (11 spectra) the classification accuracy was 0.95. To test different site volumes, each Sn1-induced spectrum was divided into the G-->A and C-->T spectra. The classification accuracy for these spectra was 0.96. From the analysis of classification errors it is possible to suggest that at least part of them cannot be ascribed to the faults of the algorithm but are caused by some special features of the mutagenesis itself. The results of the real data are in good relation with existing knowledge. The approach we present is an attempt to formalize the concept of a "mutational hotspot". The program implementing the SEM algorithm is available on the Web server (http:/(/)www.itba.mi.cnr.it/webmutation).

Algorithms↗

PubMed1998

Molecular Probe Data Base (MPDB).

In this paper, the current status of the Molecular Probe Data Base (http://www.biotech.ist.unige.it/interlab/ mpdb.html ) is briefly presented together with a short analysis of its activity during 1997. This has been performed by statistically evaluating the 'logs' of the Internet servers that are used for its distribution with reference to the geographical origin of the requests, the words that were utilized to carry out of the searches and the oligonucleotides that were retrieved. Planned enhancements of this database are also described. They include a revision of its data structure and, even more relevant, of its data management procedures.

Computer Communication Networks↗

PubMed1998

GeneExpress: a computer system for description, analysis, and recognition of regulatory sequences in eukaryotic genome.

GeneExpress system has been designed to integrate description, analysis, and recognition of eukaryotic regulatory sequences. The system includes 5 basic units: (1) GeneNet contains an object-oriented database for accumulation of data on gene networks and signal transduction pathways and a Java-based viewer that allows an exploration and visualization of the GeneNet information; (2) Transcription Regulation combines the database on transcription regulatory regions of eukaryotic genes (TRRD) and TRRD Viewer; (3) Transcription Factor Binding Site Recognition contains a compilation of transcription factor binding sites (TFBSC) and programs for their analysis and recognition; (4) mRNA Translation is designed for analysis of structural and contextual features of mRNA 5'UTRs and prediction of their translation efficiency; and (5) ACTIVITY is the module for analysis and site activity prediction of a given nucleotide sequence. Integration of the databases in the GeneExpress is based on the Sequence Retrieval System (SRS) created in the European Bioinformatics Institute.

Artificial Intelligence↗

PubMed1997

Identification of a U7snRNA homologue mapping to the human Xq27.1 region, between the DXS1232 and DXS119 loci.

To contribute to the identification and analysis of novel genes, we undertook the study of a cosmid clone in the Xq27 region of human DNA. The cloned fragment was previously observed to have a high number of evolutionarily conserved sequences. In this genomic stretch of DNA we have identified sequence homologous to the U7 RNA gene including its potential regulatory elements. This paper describes the genomic organisation of this gene and its mapping to the Xq27.1 genomic sub-interval between the DXS1232 and DXS119 loci.

Animals↗

PubMed1997

Analysis of donor splice sites in different eukaryotic organisms.

We present here a new algorithm for functional site analysis. It is based on four main assumptions: each variation of nucleotide composition makes a different contribution to the overall binding free energy of interaction between a functional site and another molecule; nonfunctioning site-like regions (pseudosites) are absent or rare in genomes; there may be errors in the sample of sites; and nucleotides of different site positions are considered to be mutually dependent. In this algorithm, the site set is divided into subsets, each described by a certain consensus. Donor splice sites of the human protein-coding genes were analyzed. Comparing the results with other methods of donor splice site prediction has demonstrated a more accurate prediction of consensus sequences AG/GU(A,G), G/GUnAG, /GU(A,G)AG, /GU(A,G)nGU, and G/GUA than is achieved by weight matrix and consensus (A,C)AG/GU(A,G)AGU with mismatches. The probability of the first type error, E1, for the obtained consensus set was about 0.05, and the probability of the second type error, E2, was 0.15. The analysis demonstrated that accuracy of the functional site prediction could be improved if one takes into account correlations between the site positions. The accuracy of prediction by using human consensus sequences was tested on sequences from different organisms. Some differences in consensus sequences for the plant Arabidopsis sp., the invertebrate Caenorhabditis sp., and the fungus Aspergillus sp. were revealed. For the yeast Saccharomyces sp. only one conservative consensus, /GUA(U,A,C)G(U,A,C), was revealed (E1 = 0.03, E2 = 0.03). Yeast is a very interesting model to use for analysis of molecular mechanisms of splicing.

Algorithms↗

PubMed1997

Sequence and gene content in 35 kb genomic clone mapping in the human Xq27.1 region.

This paper presents detailed analysis of the entire sequence of a cosmid clone, 26H7, containing 35 kb of human DNA. This cosmid resides on the q27.1 region of the human X chromosome between, DXS1232 and DXS119 loci. Novel potential small exons were detected for which conventional gene identification strategies (Northern blot analysis and extensive cDNA library screening) proved to be inefficient. Of the standard repetitive elements we found: 8 Alu's making up 6.2% of the sequence; 10 MIR segments (4.1%); 5 LINE1 elements (4.8%), 3 MIR2 (1.0%); 2 MLT (2.9%), and 1 MSTA (0.7%) representing about 20% of the total sequence. The overall GC content was rather low, only 42% and no CpG island was detected using rare restriction enzymes. However, a CpG-rich region was identified. Computer aided analysis of the sequence inferred the presence of three possible genes: one of them was found to be homologous to the U7 RNA family elements; a second is reported in this paper, however at the moment no significant homology has been found in the data bank. The third predicted gene has not as yet been found to be detectable by RT-PCR. We also report in this paper the identification of X-chromosome specific repeated sequences.

Amino Acid Sequence↗

PubMed1996

Characterization and fine localization of two new genes in Xq28 using the genomic sequence/EST database screening approach.

Two new genes were identified and mapped by searching the EST databases with genomic sequences obtained from putative CpG islands of the rodent-human hybrid X3000. Previous mapping of these CpG islands in the proximity of the host cell factor (HCFC1) and GdX genes automatically localized these two new genes to Xq28 in the interval between the L1 cell adhesion molecule (L1CAM) and the glucose-6-phosphate dehydrogenase (G6PD) loci. Both genes are relatively short, contain an ORF of 261 and 105 amino acids, respectively, and are ubiquitously expressed. Combining sequencing of selected CpG islands, derived from hybrids containing small portions of the human genome, with an EST database search is an easy method of identifying and mapping new genes to specific regions of the genome.

Amino Acid Sequence↗

PubMed1996

Gene structure prediction using information on homologous protein sequence.

In this paper a new approach for the prediction of protein coding gene structures is described. The principal scheme of prediction is as follows: first, the exons with the best potential are predicted in a sequence with unknown functions and a list of potential amino acid fragments coded by these exons is formed. Second, testing the homology between each amino acid fragment from the list and proteins from the SWISS-PROT database of amino acid sequences. One protein with the best homology is chosen out of all the homologous sequences. Third, reconstruction of the exon-intron structure, basing it on its homology with the chosen protein sequences. The method was tested on an independent control set (20 genes). The results were as follows: 21% of real exons were lost and 3% of non-real exons were found. This system can be used to refine the results of gene prediction systems, especially if highly homologous proteins are found in the amino acid sequence database.

Algorithms↗

PubMed1996

Hamming-Clustering method for signals prediction in 5' and 3' regions of eukaryotic genes.

MOTIVATION: Gene expression is regulated by different kinds of short nucleotide domains. These features can either activate or terminate the transcription process. To predict the signal sites in the 5' and 3' gene regions we applied the Hamming-Clustering network (HC) to the TATA box, to the transcription initiation site and to the poly(A) signal determination in DNA sequences. This approach employs a technique deriving from the synthesis of digital networks in order to generate prototypes, or rules, which can be directly analysed or used for the construction of a final neural network. RESULTS: More than 1000 poly-A signals have been extracted from EMBL database rel. 42 and used to build the training and the test set. A full set of the eukaryotic genes (1252 entry) from the Eukaryotic Promoter Database (EPD rel. 42) have been used for the TATA-box signal and transcription network approach. The results show the applicability of the Hamming-Clustering method to functional signal prediction.

Algorithms↗

PubMed1995

Eukaryotic promoter recognition by binding sites for transcription factors.

A method for identification of eukaryotic promoters by localization of binding sites for transcription factors has been suggested. The binding sites for a range of transcription factors have been found to be distributed unevenly. Based on these distributions, we have constructed a weight matrix of binding site localization. On the basis of the weight matrix we have, in turn, designed an algorithm for promoter recognition. To increase the accuracy of the method, we have developed a routine that breaks any promoter sample into subsamples. The method to be reported on allows much better recognition accuracy than does the approach based on detection of the TATA box. In particular, the overprediction error is three times lower following our method. The program FunSiteP recognizes promoters from newly uncovered sequences and tentatively identifies the functional class the promoters must belong to. We have introduced the notion of 'regulatory potential' for the degree to which any region of the sequences is similar to the real eukaryotic promoter. By making use of the potential, we have revealed putative transcription start sites and extended regions of transcription regulation.

Algorithms↗

PubMed1995

Computer tool FUNSITE for analysis of eukaryotic regulatory genomic sequences.

We present the computer tool FUNSITE for description and analysis of regulatory sequences of eukaryotic genomes. The tool consists of the following main parts: 1) An integrated database for genomic regulatory sequences. The integrated database was designed on the basis of the databases TRANSFAC (Wingender 1994) and TRRD (Kel et al. 1995) that are currently under development. The following functions are performed: i) linkage to the EMBL database; ii) preparing samples of definite types of functional sites with their flanking sequences; iii) preparing samples of promoter sequences; iv) preparing samples of transcription factors classified with regard to structural and functional features of DNA binding and activating domains, functional families of the factors, their tissue specificity and other functional features; v) access to data on mutual disposition of cis-elements within the regulatory regions. 2) The second component of FUNSITE tool is the set of programs for analysis of the structural organization of regulatory sequences: i) Program for revealing of potential transcription factors binding sites based on their consensi; ii) program for revealing of the potential binding sites using homology search with nucleotide sequences of real binding sites; iii) program for analysis of oligonucleotide context features which are characteristic of flank sequences of the binding sites; iv) program for design of recognition method for the functional sites based on generalized weight matrix; v) program for revealing potential composite elements. The results of analysis of the promoter sequences of eukaryotic genes with the FUNSITE are presented, too.

Amino Acid Sequence↗

PubMed1994

The exon-intron organization of the human X-linked gene (FLN1) encoding actin-binding protein 280.

We have determined the exon-intron organization of the human X-linked gene (FLN1) encoding actin-binding protein 280 (filamin), a ubiquitous protein that plays an important role in the mechanochemical activities of cells through its association with actin filaments and membrane components. The gene is composed of 47 exons spanning approximately 26 kb. The first and part of the second exon are untranslated. The actin-binding domain at the N-terminus is encoded by exons 2 to 5. The 96-amino-acid repeats corresponding to the elongated rod backbone of the protein are encoded by the remaining 42 exons: size, location, and boundaries of the exons cannot be easily correlated with the repeated structure, while sequences interrupting the repeats (the two hinge segments preceding repeats 16 and 24 and the 8-amino-acid (aa) segment interrupting the 15th repeat) were encoded by separate exons, suggesting that they may be recent additions to the X-linked protein. The 8-aa segment is encoded by exon 29, which is alternatively spliced.

Amino Acid Sequence↗