ABSTRACT. Penicillium griseoroseum, a deuteromycete fungus producer of pectinolytic enzymes, was transformed with a gene encoding for green fluorescent protein (GFP). The selection of transformants was based on the homologous nitrate reductase gene (niaD). Protoplasts of a P. griseoroseum Nia mutant (PG63) were co-transformed with the plasmids pNPG1 and pAN52-1-GFP. The plasmid pNPG-1 carries the homologous niaD gene and pAN52-1-GFP carries the SGFP-TYG version of GFP. The highest transformation efficiency (102 transformants/µg of pNPG1) resulted from the utilization of equimolar amounts of transforming and co-transforming vectors. Analysis of pAN52-1-GFP insertions into the genomic DNA of the transformants revealed single and multiple copy integrations. The transformants possessing a single copy of the gfp gene showed a low level of fluorescence, whereas multicopy transformants displayed strong fluorescence under visualization with fluorescent light. The transformants showing high expression of the gfp gene had the normal mycelia pigmentation altered, displaying a bright green-yellowish color, visible with the naked eye on the plates, without the aid of any kind of fluorescent light or special filter set.

ABSTRACT. Inducible transgenic mouse models that impose a constraint on both temporal and spatial expression of a given transgene are invaluable. These animals facilitate experiments that can address the role of a specific cell or group of cells within an animal or in a particular window of time. A common approach to achieve inducibility involves the site-specific recombinase ‘Cre’, which is linked to a modified version of one of various steroid hormone-binding domains. Thus, the expression of Cre is regulated such that a functional nuclear transgene product can only be generated with the addition of an exogenous ligand. However, critical requirements of this system are that the nuclear localization of the transgene product be tightly regulated, that the dosage of the inducing agent remains consistent among experimental animals and that the transgene cassette cannot express in the absence of the inducing agent. We used the Cre ER(T2) cassette, which is regulated by the addition of the estrogen antagonist tamoxifen to determine whether cross-contamination of tamoxifen between animals housed together can be a significant source of spurious results. We found that cross-contamination of exogenous tamoxifen does occur. It occurred in all animals tested. We suggest that the mechanism of contamination is through exposure to tamoxifen in the general environment and/or to coprophagous behavior. These results have important implications for the interpretation and design of experiments that use ‘inducible’ transgenic animals

ABSTRACT.

Genomic sequence comparison across species has enabled the elucidation of important coding and regulatory sequences encoded within DNA. Of particular interest are the noncoding regulatory sequences, which influence gene transcriptional and posttranscriptional processes. A phylogenetic footprinting strategy was employed to identify noncoding conservation patterns of 39 human and bovine orthologous genes. Seventy-three conserved noncoding sequences were identified that shared greater than 70% identity over at least 100 bp. Thirteen of these conserved sequences were also identified in the mouse genome. Evolutionary conservation of noncoding sequences across diverse species may have functional significance, and these conserved sequences may be good candidates for regulatory elements.

ABSTRACT. A lack of pliant software tools that support small- to medium-scale DNA sequencing efforts is a major hindrance for recording and using laboratory workflow information to monitor the overall quality of data production. Here we describe VSQual, a set of Perl programs intended to provide simple and powerful tools to check several quality features of the sequencing data generated by automated DNA sequencing machines. The core program of VSQual is a flexible Perl-based pipeline, designed to be accessible and useful for both programmers and non-programmers. This pipeline directs the processing steps and can be easily customized for laboratory needs. Basically, the raw DNA sequencing trace files are processed by Phred and Cross_match, then the outputs are parsed, reformatted into Web-based graphical reports, and added to a Web site structure. The result is a set of real time sequencing reports easily accessible and understood by common laboratory people. These reports facilitate the monitoring of DNA sequencing as well as the management of laboratory workflow, significantly reducing operational costs and ensuring high quality and scientifically reliable results.

ABSTRACT. When analyzing sequencing reads, it is important to distinguish between putative correct and wrong bases. An open question is how a PHRED quality value is capable of identifying the miscalled bases and if there is a quality cutoff that allows mapping of most errors. Considering the fact that a low quality value does not necessarily indicate a miscalled position, we decided to investigate if window-based analyses of quality values might better predict errors. There are many reasons to look for a perfect window in DNA sequences, such as when using SAGE technique, looking for BLAST seeding and clustering sequences. Thus, we set out to find a quality cutoff value that would distinguish non-perfect windows from perfect ones. We produced and compared 846 reads of pUC18 with the published pUC consensus, by local alignment. We then generated a database containing all mismatches, insertions and gaps in order to map real perfect windows. An investigation was made to find the potential to predict perfect windows when all bases in the window show quality values over a given cutoff. We conclude that, in window-based applications, a PHRED quality value cutoff of 7 masks most of the errors without masking real correct windows. We suggest that the putative wrong bases be indicated in lower case, increasing the information on the sequence databases without increasing the size the files.

ABSTRACT. The correct identification of all human genes, and their derived transcripts, has not yet been achieved, and it remains one of the major aims of the worldwide genomics community. Computational programs suggest the existence of 30,000 to 40,000 human genes. However, definitive gene identification can only be achieved by experimental approaches. We used two distinct methodologies, one based on the alignment of mouse orthologous sequences to the human genome, and another based on the construction of a high-quality human testis cDNA library, in an attempt to identify new human transcripts within the human genome sequence. We generated 47 complete human transcript sequences, comprising 27 unannotated and 20 annotated sequences. Eight of these transcripts are variants of previously known genes. These transcripts were characterized according to size, number of exons, and chromosomal localization, and a search for protein domains was undertaken based on their putative open reading frames. In silico expression analysis suggests that some of these transcripts are expressed at low levels and in a restricted set of tissues.

ABSTRACT. Although alternative splicing of many genes has been found associated with different stages of tumorigenesis and splicing variants have been characterized as tumor markers, it is still not known whether these examples are sporadic or whether there is a broader association between the two phenomena. In this report we evaluated, through a bioinformatics approach, the expression of splicing factors in both normal and tumor tissues. This was possible by integrating data produced by proteomics, serial analysis of gene expression (SAGE) and microarray experiments. We observed a significant shift in the expression of splicing factors in tumors in both SAGE and microarray data, resulting from a large amount of experiments. We discuss that this supports the notion of a broader association between alternative splicing and cell transformation, and that splicing factors may be involved in oncogenic pathways.

ABSTRACT. G protein-coupled receptors (GPCRs) are involved in a large variety of physiological functions. The number of known members that belong to this large family of receptors has been rapidly increasing. Now, with the availability of the human genome sequence databases, further family members are being identified. We describe the identification of a novel GPCR that shows no significant amino acid identity to any one of the known members of the GPCR superfamily. The gene expression pattern of this receptor is restricted: in normal tissues it is confined to the nervous system and testis, but we also detected gene expression in several tumor types, most notably prostate cancer, suggesting a potential role for this gene as a marker for this disease.

ABSTRACT. Alternative splicing increases protein diversity through the generation of different mRNA molecules from the same gene. Although alternative splicing seems to be a widespread phenomenon in the human transcriptome, it is possible that different subgroups of genes present different patterns, related to their biological roles. Analysis of a subgroup may enhance common features of its members that would otherwise disappear amidst a heterogeneous population. Extracellular matrix (ECM) proteins are a good set for such analyses since they are structurally and functionally related. This family of proteins is involved in a large variety of functions, probably achieved by the combinatorial use of protein domains through exon shuffling events. To determine if ECM genes have a different pattern of alternative splicing, we compared clusters of expressed sequences of ECM to all other genes regarding features related to the most frequent type of alternative splicing, alternative exon usage (AEU), such as: the number of alternative exon-intron structures per cluster, the number of AEU events per exon-intron structure, the number of exons per event, among others. Although we did not find many differences between the two sets, we observed a higher frequency of AEU events involving entire protein domains in the ECM set, a feature that could be associated with their multi-domain nature. As other subgroups or even the ECM set in different tissues could present distinct patterns of AEU, it may be premature to conclude that alternative splicing is homogeneous among groups of related genes.

ABSTRACT. Olfactory receptors (ORs) constitute the largest gene-family in the vertebrate genome. We have attempted to provide a comprehensive view of the OR universe through diverse tools of bioinformatics and computational biology. Among others, we have constructed the Human Olfactory Receptor Data Exploratorium (HORDE, http://bioportal.weizmann.ac.il/HORDE/) as a free online resource, which integrates information on ORs from different species. We studied the genomic organization of 853 human ORs and divided the repertoire into 135 clusters, accessible through our new cluster viewer feature. An analysis of intact and pseudogenized ORs in different clusters, as well as of OR expression patterns, is provided, relevant to OR transcription control. Coding single nucleotide polymorphisms were integrated; these are to be used for genotype-phenotype correlation studies. HORDE allows a unique opportunity for discerning protein structural and functional information of the individual OR proteins. By applying novel data analysis strategies to the >3000 OR genes of mouse, dog and human within HORDE, we have generated a set of refined rhodopsin-based homology models for ORs. For model improvement, we employed a novel analysis of specific positions along the seven transmembrane helices at which prolines generate helix-breaking kinks. The model shows family-specif ic structural features, including idiosyncratic kink patterns, which lead to significant differences in the inferred odorant binding site structure. Such analyses form a basis for a comprehensive sequence-based classification of OR proteins in terms of potential odorant binding specificities.

ABSTRACT. Angiotensin I-converting enzyme (ACE) is a dipeptidyl-carboxypeptidase expressed in endothelial, epithelial and neuroepithelial cells. It is composed of two domains, known as N- and C-domains, and it is primarily involved in blood pressure regulation. Although the physiological functions of ACE are not limited to its cardiovascular role, it has been an attractive target for drug design due to its critical role in cardiovascular and renal disease. We examined natural structures based on bradykinin-potentiating peptides (BPPs) extracted from Bothrops jararaca venom for ACE inhibition. Modeling, docking and molecular dynamics were used to study the conserved residues in the S2’, S1’ and S1 positions that allow enzyme-substrate/inhibitor contacts. These positions are conserved in other oligopeptidases, and they form tight and non-specific contacts with lisinopril, enalapril and BPP9a inhibitors. The only specific inhibitor for human somatic ACE (sACE) was BPP9a, which is instable in the N-sACE-BPP9a complex due to repulsive electrostatic interactions between Arg P4-Arg 412 residues. Specificity for the C-terminal domain in human sACE inhibition was confirmed by electrostatic interaction with the Asp 1008 residue. Peptide-like BPP structures, naturally developed by snakes across millions of years of evolution, appear to be good candidates for the development of domain-selec tive ACE inhibitors with high stability and improved pharmacological profiles.

ABSTRACT. I give here a very personal perspective of Bioinformatics and its future, starting by discussing the origin of the term (and area) of bioinformatics and proceeding by trying to foresee the development of related issues, including pattern recognition/data mining, the need to reintegrate biology, the potential of complex networks as a powerful and flexible framework for bioinformatics and the interplay between bio- and neuroinformatics. Human resource formation and market perspective are also addressed. Given the complexity and vastness of these issues and concepts, as well as the limited size of a scientific article and finite patience of the reader, these perspectives are surely incomplete and biased. However, it is expected that some of the questions and trends that are identified will motivate discussions during the IcoBiCoBi round table (with the same name as this article) and perhaps provide a more ample perspective among the participants of that conference and the readers of this text.

ABSTRACT. The literature about genomics and bioinformatics achievements in high-impact journals such as Nature and Science has raised disproportionate expectations amongst the general public about fast and revolutionary drugs and breakthroughs in biomedicine. However, the yield obtained by database mining activities has been modest, as reported in the February 2001 issues of these journals featuring the completion of human genome draft sequences by the Human Genome Project Consortium and the company Celera. I have compared changes in rethoric employed by molecular biologists in 2001 and in April 2003, when the final sequence was announced. The comparison suggests that researchers are concerned about the sustainability of society’s investment in this field, though not explicitly.