Using microfluidics to investigate tumor cell extravasation and T-cell immunotherapies.

Understanding the mechanism of tumor cell extravasation, cell migration and the role of the immunosystem is crucial in creating targeted and patient-specific cancer therapies. We created an in-vitro microfluidic cell extravasation assay, incorporating a microvascular network and demonstrated its use to study cancer cells extravasation. Separately, we developed an assay for screening T-cell migration and cytotoxicity as a means to evaluate the efficiency of adoptive immunotherapies against cancer. Similar devices using a similar platform can be used to recreate a tumor liver microenvironment, taking in consideration the hypoxic and inflammatory conditions in the liver. These platforms show considerable potential as efficient pre-clinical models for testing the efficiency of cancer drugs and engineered T-cell functionality for personalized medicine.

Modeling the Blood-Brain Barrier in a 3D triple co-culture microfluidic system.

The need for a blood-brain barrier (BBB) model that accurately mimics the physiological characteristics of the in-vivo situation is well-recognized by researchers in academia and industry. However, there is currently no in-vitro model allowing studies of neuronal growth and/or function influenced by factors from the blood that cross through the BBB. Therefore, we established a 3D triple co-culture microfluidic system using human umbilical vein endothelial cells (HUVEC) together with primary rat astrocytes and neurons. Immunostaining confirmed the successful triple co-culture system consisting of an intact BBB with tight intercellular junctions in the endothelial monolayer. The BBB selective permeability was determined by a fluorescent-based assay using dextrans of different molecular weights. Finally, neuron functionality was demonstrated by calcium imaging.

Electrical conditioning of adipose-derived stem cells in a multi-chamber culture platform.

In tissue engineering, several factors play key roles in providing adequate stimuli for cells differentiation, in particular biochemical and physical stimuli, which try to mimic the physiological microenvironments. Since electrical stimuli are important in the developing heart, we have developed an easy-to-use, cost-effective cell culture platform, able to provide controlled electrical stimulation aimed at investigating the influence of the electric field in the stem cell differentiation process. This bioreactor consists of an electrical stimulator and 12 independent, petri-like culture chambers and a 3-D computational model was used to characterize the distribution and the intensity of the electric field generated in the cell culture volume. We explored the effects of monophasic and biphasic square wave pulse stimulation on a mouse adipose-derived stem cell line (m17.ASC) comparing cell viability, proliferation, protein, and gene expression. Both monophasic (8 V, 2 ms, 1 Hz) and biphasic (+4 V, 1 ms and -4 V, 1 ms; 1 Hz) stimulation were compatible with cell survival and proliferation. Biphasic stimulation induced the expression of Connexin 43, which was found to localize also at the cell membrane, which is its recognized functional mediating intercellular electrical coupling. Electrically stimulated cells showed an induced transcriptional profile more closely related to that of neonatal cadiomyocytes, particularly for biphasic stimulation. The developed platform thus allowed to set-up precise conditions to drive adult stem cells toward a myocardial phenotype solely by physical stimuli, in the absence of exogenously added expensive bioactive molecules, and can thus represent a valuable tool for translational applications for heart tissue engineering and regeneration.

Origin and evolution of GBV-C/hepatitis G virus and relationships with ancient human migrations.

The GB virus C/hepatitis G virus (GBV-C/HGV) is a newly identified human RNA virus, belonging to the Flaviviridae family. Persistent infection by GBV-C/HGV is common in humans, and genetically divergent isolates have been identified in different parts of the world. Due to the absence of a real pathogenic role of GBV-C/HGV in liver disease and its extremely low mutation rate, this virus is a potential marker to trace prehistoric links between human populations. In this study, origin and evolution of GBV-C/HGV were examined using a set of fully sequenced strains of worldwide origin. A first phylogenetic analysis, addressed to the short (255 nucleotides) NS5A overlapping coding region by the neighbor-joining method, suggested an ancient African origin of GBV-C/HGV. This notion was confirmed when the same analysis was applied to the genomic regions showing the lowest rate of synonymous substitutions, covering one-fourth (2184 nucleotides) of the total coding potential of the virus genome. By using a multivariate statistical method and extending the analysis to the complete coding region, fine details of the evolutionary history of GBV-C/HGV were further elucidated. By this approach, isolates from Southeast Asia appeared to be the most closely related to those of African origin, consistent with a major route of ancient human migrations from Africa to southeastern parts of the Asian continent.

Cloning of two glutamate dehydrogenase cDNAs from Asparagus officinalis: sequence analysis and evolutionary implications.

Two different amplification products, termed c1 and c2, showing a high similarity to glutamate dehydrogenase sequences from plants, were obtained from Asparagus officinalis using two degenerated primers and RT-PCR (reverse transcriptase polymerase chain reaction). The genes corresponding to these cDNA clones were designated aspGDHA and aspGDHB. Screening of a cDNA library resulted in the isolation of cDNA clones for aspGDHB only. Analysis of the deduced amino acid (aa) sequence from the full-length cDNA suggests that the gene product contains all regions associated with metabolic function of NAD glutamate dehydrogenase (NAD-GDH). A first phylogenetic analysis including only GDHs from plants suggested that the two GDH genes of A. officinalis arose by an ancient duplication event, pre-dating the divergence of monocots and dicots. Codon usage analysis showed a bias towards A/T ending codons. This tendency is likely due to the biased nucleotide composition of the asparagus genome, rather than to the translational selection for specific codons. Using principal coordinate analysis, the evolutionary relatedness of plant GDHs with homologous sequences from a large spectrum of organisms was investigated. The results showed a closer affinity of plant GDHs to GDHs of thermophilic archaebacterial and eubacterial species, when compared to those of unicellular eukaryotic fungi. Sequence analysis at specific amino acid signatures, known to affect the thermal stability of GDH, and assays of enzyme activity at non-physiological temperatures, showed a greater adaptation to heat-stress conditions for the asparagus and tobacco enzymes compared with the Saccharomyces cerevisiae enzyme.

Detection of signature sequences in overlapping genes and prediction of a novel overlapping gene in hepatitis G virus.

In viruses an increased coding ability is provided by overlapping genes, in which two alternative open reading frames (ORFs) may be translated to yield two distinct proteins. The identification of signature sequences in overlapping genes is a topic of particular interest, since additional out-of-frame coding regions can be nested within known genes. In this work, a novel feature peculiar to overlapping coding regions is presented. It was detected by analysis of a sample set of 21 virus genomic sequences and consisted in the repeated occurrence of a cluster of basic amino acid residues, encoded by a frame, combined to a stretch of acidic residues, encoded by the corresponding overlapping frame. A computer scan of an additional set of virus sequences demonstrated that this feature is common to several other known overlapping ORFs and led to prediction of a novel overlapping gene in hepatitis G virus (HGV). The occurrence of a bifunctional coding region in HGV was also supported by its extremely lower rate of synonymous nucleotide substitutions compared to that observed in the other gene regions of the HGV genome. Analysis of the amino acid sequence that was deduced from the putative overlapping gene revealed a high content of basic residues and the presence of a nuclear targeting signal; these characteristics suggest that a core-like protein may be expressed by this novel ORF.

Relationships between transcriptional and translational control of gene expression in Saccharomyces cerevisiae: a multiple regression analysis.

Natural selection for an increased translation efficiency has been proposed as the main determinant for the bias in codon usage observed in many genes of Saccharomyces cerevisiae. Recently, the efficiency of transcription of a large number of yeast genes has been determined, based on the cellular content of the respective mRNAs: this provides an additional dimension to the study of the multisep process of gene expression. Using a representative set of yeast genes with a known level of transcription, the relationship between transcriptional and translational steps was evaluated by a multiple linear regression model. This analysis demonstrated a positive correlation between the amount of transcript, given as the number of mRNA copies per cell for each individual gene, and indices evaluating the effects of translational selection on the corresponding codon usage pattern. This finding suggests a close association of the cellular mRNA content, regulated also at the transcriptional level, to its efficiency of translation, mediated by a fine-tuning of codon usage strategy. Moreover, multiple regression analysis demonstrated that the transcription level of a gene can be approximately predicted using indices of bias deriving from its nucleotide sequence. This allowed for an extensive investigation of uncharacterized regions of the complete genome sequence of S. cerevisiae, to detect new potential short protein coding genes that were not considered by previous searching procedures. Several small open reading frames exhibiting a statistically significant coding potential were thus identified as good candidates for functional analysis.

On the informational content of overlapping genes in prokaryotic and eukaryotic viruses.

In genetic language a peculiar arrangement of biological information is provided by overlapping genes in which the same region of DNA can code for functionally unrelated messages. In this work, the informational content of overlapping genes belonging to prokaryotic and eukaryotic viruses was analyzed. Using information theory indices, we identified in the regions of overlap a first pattern, exhibiting a more uniform base composition and more severe constraints in base ordering with respect to the nonoverlapping regions. This pattern was found to be peculiar to coliphage, avian hepatitis B virus, human lentivirus, and plant luteovirus families. A second pattern, characterized by the occurrence of similar compositional constraints in both types of coding regions, was found to be limited to plant tymoviruses. At the level of codon usage, a low degree of correlation between overlapping and nonoverlapping coding regions characterized the first pattern, whereas a close link was found in tymoviruses, indicating a fine adaptation of the overlapping frame to the original codon choice of the virus. As a result of codon usage correlation analysis, deductions concerning the origin and evolution of several overlapping frames were also proposed. Comparison of amino acid composition revealed an increased frequency of amino acid residues with a high level of degeneracy (arginine, leucine, and serine) in the proteins encoded by overlapping genes; this peculiar feature of overlapping genes can be viewed as a way with which they may expand their coding ability and gain new, specialized functions.

Transfer RNA gene redundancy and translational selection in Saccharomyces cerevisiae.

A total of 274 transfer RNA genes, representing the entire tRNA gene set of the yeast Saccharomyces cerevisiae, has been extracted from the whole genome sequence of this organism using a dedicated search algorithm (Pol3scan). All tRNA genes were assigned to 42 classes of distinct codon specificity. Accordingly, four deviations from previously proposed rules for third position wobble pairing in yeast, three G:U and one A:I codon-anticodon pairings, were found to be required to account for the reading of 61 coding triplets. The gene copy number for individual tRNA species, which ranges from one to 16, correlates well with both the frequency of codon occurrence in a sample of 1756 distinct protein coding sequences (r = 0.82) and the previously measured intracellular content of 21 tRNA species. A close link between tRNA gene redundancy and the overall amino acid composition of yeast proteins was also observed. Regression analysis values for individual protein coding sequences proved to be effective descriptions of the translational selective pressure operating on a particular gene. A significantly stronger co-adaptation between codon choice and tRNA gene copy number was observed in highly expressed genes. These observations strongly support the notion that intracellular tRNA levels in normally growing yeast cells are mainly determined by gene copy number, which, along with codon choice, is the key parameter acted upon by translational selection.

A novel algorithm for the search of 5S rRNA genes in DNA databases: comparison with other methods and identification of new potential 5S rRNA genes.

We report here a new algorithm for the identification of 5S rRNA genes in DNA databases. Based on an improved version of the general weight matrix method, this search procedure relies on the recognition of three informative regions within 5S rRNA genes, and on the weighted evaluation of the distance between them. As an additional step, the algorithm extends the weight matrix analysis to the full-length 5S rRNA sequence. This combined strategy, which includes a fast, but poorly selective, preliminary search procedure and an auxiliary step, that is slow but highly selective, strongly reduces the number of false positive instances, yielding a total false positive rate of 0.00076%. On the other hand, 97.5% of the 1045 known 5S rRNA genes were correctly recognized by this algorithm, and 29 previously unidentified potential 5S rRNA sequences were uncovered. A detailed analysis of these candidate sequences, including prediction of 5S rRNA secondary structure and checking for the presence of transcriptional termination signals, showed that eight of them correspond to authentic 5S rRNA genes. The performance of this specialized algorithm for the detection of 5S rRNA genes was compared with that of the general hidden Markov model search procedure. Due to their utilization of different filtering rules, the two approaches proved to be highly complementary. Their combined use will thus provide a very effective tool for the detection of dispersed 5S rRNA genes, either active or inactive, in the vertebrate genome.

Identification of new eukaryotic tRNA genes in genomic DNA databases by a multistep weight matrix analysis of transcriptional control regions.

A linear method for the search of eukaryotic nuclear tRNA genes in DNA databases is described. Based on a modified version of the general weight matrix procedure, our algorithm relies on the recognition of two intragenic control regions known as A and B boxes, a transcription termination signal, and on the evaluation of the spacing between these elements. The scanning of the eukaryotic nuclear DNA database using this search algorithm correctly identified 933 of the 940 known tRNA genes (0.74% of false negatives). Thirty new potential tRNA genes were identified, and the transcriptional activity of two of them was directly verified by in vitro transcription. The total false positive rate of the algorithm was 0.014%. Structurally unusual tRNA genes, like those coding for selenocysteine tRNAs, could also be recognized using a set of rules concerning their specific properties, and one human gene coding for such tRNA was identified. Some of the newly identified tRNA genes were found in rather uncommon genomic positions: 2 in centromeric regions and 3 within introns. Furthermore, the presence of extragenically located B boxes in tRNA genes from various organisms could be detected through a specific subroutine of the standard search program.

Isonymy and the genetic structure of Sicily.

The genetic structure of Sicily was analysed through the distribution of surnames of 758,793 users registered in the Italian Telephone Company, corresponding to 371 communes of the island. Estimates of the coefficient of consanguinity due to random isonymy, of Fisher's a, an indicator of abundance of surnames, and of Karlin-McGregor's v, an indicator of immigration rates, were obtained for each commune. Four different estimates of genetic distance between all possible pairs of communes within each province were also obtained, and their relationship with geographic distance was studied. The logarithmic transformation of Lasker's coefficient of relationship showed correlations with the log of geographic distance which range between -0.78 and -0.40; the strongest, for the province of Catania, was attributed to the presence of Mount Etna, and the weakest, for Palermo, to the high population density of this province.

Identification, characterization, and analysis of cDNA and genomic sequences encoding two different small heat shock proteins in Hordeum vulgare.

In vitro translation of mRNAs prepared from barley (Hordeum vulgare) seedlings (cv. Onice) exposed at 40 degrees C directed the synthesis of major heat shock proteins (HSPs) with molecular masses of 80-90, 70, 42 and 16-22 kDa. A cDNA library prepared from the 40 degrees C mRNAs and screened by differential hybridization led to the isolation of heat shock specific sequences. One of these (Hv hsp18) was confirmed by hybrid-arrested and hybrid-released translation as encoding for an 18-kDa HSP. The barley hsp18 sequence has an open reading frame encoding a 160 amino acid residue 18-kDa protein that is 63% identical to wheat 16.9-kDa HSP (clone C5-8), 54% identical to soybean (Glycine max) 17.5-kDa HSP, and 49% identical to Arabidopsis thaliana 17.6-kDa HSP. Lower similarities were found with class II plant small HSPs such as soybean 17.9-kDa HSP (27%), Pisum sativum 17.7-kDa HSP (30%), wheat (Triticum aestivum) 17.3-kDa HSP (clone Ta hsp 17.3) (30%), and with animal small HSPs and alpha-crystallins. The Hv hsp18 sequence was used to pick up Hv hsp17 genomic sequence encoding for another class I 17-kDa HSP. By computer analysis of the nucleotide sequence the TATA box, two heat shock promoter elements, a metal-ion response element, and the polyadenylation signals were identified. Barley HSP18 has an additional cysteine-rich region when compared with HSP17 mapping at the carboxy terminal end.

A new insight into the suggestion of a possible antigenic role of a member of the 70 kD heat shock proteins.

In the present study the cellular distribution of the inducible (hsp72) and constitutive (hsc73) forms of human 70 kD heat shock protein was evaluated. A weak reactivity of the anti-hsp72/hsc73 MoAb was found in the cytoplasm of the unstressed human epidermal cells, while stressed cells showed an enhanced reactivity at the cytoplasmic level and the expression of the molecules on the cell surface. Moreover, the antigenic properties of the two proteins were investigated by sequence analysis. Our findings provided evidence for at least three regions in the hsp72 which can be considered good candidates to represent T-immunogenic antigens. This data as well as the cell surface localization of the hsp72, could suggest an antigenic role of the hsp72.

New or uncommon uses of several medicinal plants in some areas of central Italy.

An ethnobotanical investigation was carried out in some areas of Central Italy. Following interviews with various people, several new or unusual therapeutic properties were discovered for many readily available medicinal plants. Sixty-one entities are listed in an alphabetical inventory giving the parts used and method of preparation according to their therapeutic use.

Phytotherapy in the Valnerina Marche (Central Italy).

The phytotherapeutic uses of 90 medicinal plants still used locally in the Valnerina valley, Marche, Central Italy, are listed. Some of the species used are very common in the region, while others are cultivated, but all are easily available. Several uses of these plants are remarkable and unknown in other Italian regions.

Some new therapeutic uses of several medicinal plants in the province of Terni (Umbria, Central Italy).

We report the use of 18 medicinal plants used in the territory of Narni (Province of Terni). These uses are unknown in other Italian regions and have never been reported by other authors.