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A comprehensive knowledge of all the factors involved in splicing, both proteins and RNAs, and of their interaction network is crucial for reaching a better understanding of this process and its functions. A large part of relevant information is buried in the literature or collected in various different databases. By hand-curated screenings of literature and databases, we retrieved experimentally validated data on 71 human RNA-binding splicing regulatory proteins and organized them into a database called ‘SpliceAid-F’ (http://www.caspur.it/SpliceAidF/). For each splicing factor (SF), the database reports its functional domains, its protein and chemical interactors and its expression data. Furthermore, we collected experimentally validated RNA–SF interactions, including relevant information on the RNA-binding sites, such as the genes where these sites lie, their genomic coordinates, the splicing effects, the experimental procedures used, as well as the corresponding bibliographic references. We also collected information from experiments showing no RNA–SF binding, at least in the assayed conditions. In total, SpliceAid-F contains 4227 interactions, 2590 RNA-binding sites and 1141 ‘no-binding’ sites, including information on cellular contexts and conditions where binding was tested. The data collected in SpliceAid-F can provide significant information to explain an observed splicing pattern as well as the effect of mutations in functional regulatory elements.

Nowadays DNA meta-barcoding is a powerful instrument capable of quickly discovering the biodiversity of an environmental sample by integrating the DNA barcoding approach with High Throughput Sequencing technologies. It mainly consists of the parallel reading of informative genomic fragment/s able to discriminate living entities. Although this approach has been widely studied, it still needs optimization in some necessary steps requested in its advanced accomplishment. A fundamental element concerns the standardization of bioinformatic analyses pipelines. The aim of the present study was to underline a number of critical parameters of laboratory material preparation and taxonomic assignment pipelines in DNA meta-barcoding experiments using the cytochrome oxidase subunit-I (coxI) barcode region, known as a suitable molecular marker for animal species identification. We compared nine taxonomic assignment pipelines, including a custom in-house method, based on Hidden Markov Models. Moreover, we evaluated the potential influence of universal primers amplification bias in qPCR, as well as the correlation between GC content with taxonomic assignment results. The pipelines were tested on a community of known terrestrial invertebrates collected by pitfall traps from a chestnut forest in Italy. Although the present analysis was not exhaustive and needs additional investigation, our results suggest some potential improvements in laboratory material preparation and the introduction of additional parameters in taxonomic assignment pipelines. These include the correct setup of OTU clustering threshold, the calibration of GC content affecting sequencing quality and taxonomic classification, as well as the evaluation of PCR primers amplification bias on the final biodiversity pattern. Thus, careful attention and further validation/optimization of the above-mentioned variables would be required in a DNA meta-barcoding experimental routine.

Epstein-Barr virus (EBV) latently infects the majority of the human population and is implicated as a causal or contributory factor in numerous diseases. We sequenced 27 complete EBV genomes from a cohort of Multiple Sclerosis (MS) patients and healthy controls from Italy, although no variants showed a statistically significant association with MS. Taking advantage of the availability of ∼130 EBV genomes with known geographical origins, we reveal a striking geographic distribution of EBV sub-populations with distinct allele frequency distributions. We discuss mechanisms that potentially explain these observations, and their implications for understanding the association of EBV with human disease.

Adenine to Inosine RNA editing is a widespread co- and post-transcriptional mechanism mediated by ADAR enzymes acting on double stranded RNA. It has a plethora of biological effects, appears to be particularly pervasive in humans with respect to other mammals and is implicated in a number of diverse human pathologies. Here we present the first human inosinome atlas comprising 3,041,422 A-to-I events identified in six tissues from three healthy individuals. Matched directional total-RNA-Seq and whole genome sequence datasets were generated and analysed within a dedicated computational framework, also capable of detecting hyper-edited reads. Inosinome profiles are tissue specific and edited gene sets consistently show enrichment of genes involved in neurological disorders and cancer. Overall frequency of editing also varies, but is strongly correlated with ADAR expression levels. The inosinome database is available at: http://srv00.recas.ba.infn.it/editing.

Adenosine to inosine (A-to-I) RNA editing, catalyzed by the ADAR enzyme family, acts on dsRNA structures within pre-mRNA molecules. Editing of the coding part of the mRNA may lead to recoding, amino acid substitution in the resulting protein, possibly modifying its biochemical and biophysical properties. Altered RNA editing patterns have been observed in various neurological pathologies. Here, we present a comprehensive study of recoding by RNA editing in Alzheimer's disease (AD), the most common cause of irreversible dementia. We have used a targeted resequencing approach supplemented by a microfluidic-based high-throughput PCR coupled with next-generation sequencing to accurately quantify A-to-I RNA editing levels in a preselected set of target sites, mostly located within the coding sequence of synaptic genes. Overall, editing levels decreased in AD patients’ brain tissues, mainly in the hippocampus and to a lesser degree in the temporal and frontal lobes. Differential RNA editing levels were observed in 35 target sites within 22 genes. These results may shed light on a possible association between the neurodegenerative processes typical for AD and deficient RNA editing.

RNA editing is a post-transcriptional/co-transcriptional molecular phenomenon whereby a genetic message is modified from the corresponding DNA template by means of substitutions, insertions, and/or deletions. It occurs in a variety of organisms and different cellular locations through evolutionally and biochemically unrelated proteins. RNA editing has a plethora of biological effects including the modulation of alternative splicing and fine-tuning of gene expression. RNA editing events by base substitutions can be detected on a genomic scale by NGS technologies through the REDItools package, an ad hoc suite of Python scripts to study RNA editing using RNA-Seq and DNA-Seq data or RNA-Seq data alone. REDItools implement effective filters to minimize biases due to sequencing errors, mapping errors, and SNPs. The package is freely available at Google Code repository (http://code.google.com/p/reditools/) and released under the MIT license. In the present unit we show three basic protocols corresponding to three main REDItools scripts.

Ochratoxin A (OTA) is a nephrotoxic and potentially carcinogenic mycotoxin produced by several species of Aspergillus and Penicillium . It is one of the major mycotoxins contaminating grain, grapes and a variety of food products, and the development of methods for reducing pre- and post-harvest contamination has drawn considerable attention. In the current study, we isolated and sequenced the genome of a novel free-living Acinetobacter strain able to degrade OTA. Biochemical studies suggest that the degradation reaction proceeds via peptide bond hydrolysis.

Alternative splicing (AS) is a basic molecular phenomenon that increases the functional complexity of higher eukaryotic transcriptomes. Indeed, through AS individual gene loci can generate multiple RNAs from the same pre-mRNA. AS has been investigated in a variety of clinical and pathological studies, such as the transcriptome regulation in cancer. In human, recent works based on massive RNA sequencing indicate that95 % of pre-mRNAs are processed to yield multiple transcripts. Given the biological relevance of AS, several computational efforts have been done leading to the implementation of novel algorithms and specific specialized databases. Here we describe the web application ASPicDB that allows the recovery of detailed biological information about the splicing mechanism. ASPicDB provides powerful querying systems to interrogate AS events at gene, transcript, and protein levels. Finally, ASPicDB includes web visualization instruments to browse and export results for further off-line analyses.

Revealing the impact of A-to-I RNA editing in RNA-Seq experiments is relevant in humans because RNA editing can influence gene expression. In addition, its deregulation has been linked to a variety of human diseases. Exploiting the RNA editing potential in complete RNA-Seq datasets, however, is a challenging task. Indeed, no dedicated software is available, and sometimes deep computational skills and appropriate hardware resources are required. To explore the impact of known RNA editing events in massive transcriptome sequencing experiments, we developed the ExpEdit web service application. In the present work, we provide an overview of ExpEdit as well as methodologies to investigate known RNA editing in human RNA-Seq datasets.

The interrelationship between IgAs and microbiota diversity is still unclear. Here we show that BALB/c mice had higher abundance and diversity of IgAs than C57BL/6 mice and that this correlated with increased microbiota diversity. We show that polyreactive IgAs mediated the entrance of non-invasive bacteria to Peyer's patches, independently of CX3CR1(+) phagocytes. This allowed the induction of bacteria-specific IgA and the establishment of a positive feedback loop of IgA production. Cohousing of mice or fecal transplantation had little or no influence on IgA production and had only partial impact on microbiota composition. Germ-free BALB/c, but not C57BL/6, mice already had polyreactive IgAs that influenced microbiota diversity and selection after colonization. Together, these data suggest that genetic predisposition to produce polyreactive IgAs has a strong impact on the generation of antigen-specific IgAs and the selection and maintenance of microbiota diversity.

Cardiomyopathies are a heterogeneous group of primary diseases of the myocardium, including hypertrophic cardiomyopathy (HCM), dilated cardiomyopathy (DCM), and arrhythmogenic right ventricular cardiomyopathy (ARVC), with higher morbidity and mortality. These diseases are genetically diverse and associated with rare mutations in a large number of genes, many of which overlap among the phenotypes. To better investigate the genetic overlap between these three phenotypes and to identify new genotype-phenotype correlations, we designed a custom gene panel consisting of 115 genes known to be associated with cardiomyopathic phenotypes and channelopathies. A cohort of 38 unrelated patients, 16 affected by DCM, 14 by HCM and 8 by ARVC, was recruited for the study on the basis of more severe phenotypes and family history of cardiomyopathy and/or sudden death. We detected a total of 142 rare variants in 40 genes, and all patients were found to be carriers of at least one rare variant. Twenty-eight of the 142 rare variants were also predicted as potentially pathogenic variants and found in 26 patients. In 23 out of 38 patients, we found at least one novel potential gene-phenotype association. In particular, we detected three variants in OBSCN gene in ARVC patients, four variants in ANK2 gene and two variants in DLG1, TRPM4, and AKAP9 genes in DCM patients, two variants in PSEN2 gene and four variants in AKAP9 gene in HCM patients. Overall, our results confirmed that cardiomyopathic patients could carry multiple rare gene variants; in addition, our investigation of the genetic overlap among cardiomyopathies revealed new gene-phenotype associations. Furthermore, as our study confirms, data obtained using targeted next-generation sequencing could provide a remarkable contribution to the molecular diagnosis of cardiomyopathies, early identification of patients at risk for arrhythmia development, and better clinical management of cardiomyopathic patients.

Revealing the impact of A-to-I RNA editing in RNA-Seq experiments is relevant in humans because RNA editing can influence gene expression. In addition, its deregulation has been linked to a variety of human diseases. Exploiting the RNA editing potential in complete RNA-Seq datasets, however, is a challenging task. Indeed, no dedicated software is available, and sometimes deep computational skills and appropriate hardware resources are required. To explore the impact of known RNA editing events in massive transcriptome sequencing experiments, we developed the ExpEdit web service application. In the present work, we provide an overview of ExpEdit as well as methodologies to investigate known RNA editing in human RNA-Seq datasets.

The advent of deep sequencing technologies has greatly improved the study of complex eukaryotic genomes and transcriptomes, providing the unique opportunity to investigate posttranscriptional molecular mechanisms as alternative splicing and RNA editing at single base-pair resolution. RNA editing by adenosine deamination (A-to-I) is widespread in humans and can lead to a variety of biological effects depending on the RNA type or the RNA region involved in the editing modification. Hereafter, we describe an easy and reproducible computational protocol for the identification of candidate RNA editing sites in human using deep transcriptome (RNA-Seq) and genome (DNA-Seq) sequencing data.

Here we announce the draft genome sequences of 6 Listeria monocytogenes strains from ricotta cheese produced in a dairy processing plant located in southern Italy and potentially involved in a multistate outbreak of listeriosis in the United States.

We report the sequence of the guinea pig p53 cDNA. The comparative analysis of the coding and noncoding regions of p53 cDNAs of all available complete vertebrate sequences has allowed us to single out new conserved signals possibly involved in p53 functional activity. We have focused our attention on the most variable region of the protein, the proline (P)-rich domain, suggested to play a fundamental role in antiproliferative pathways. In this domain we have identified the PXXXXP repeated motif and singled out a common consensus sequence that can be considered a signature for mammalian p53: PXXXXPX{0,4}PX{0,9}PA(T,P,I,)(S,P)WPL. We have demonstrated the significance of the PXXXXP motif in SH3-binding protein and suggested its structure to be a loop. Also, the 5' and 3' untranslated regions (UTRs) of the guinea pig were sequenced, and this study represents the first detailed structural analysis of the UTRs of the p53 mRNAs available in literature. The 5' UTR of guinea pig (233 nt) can be folded into a stable secondary structure resembling that predicted in mouse. The 3' UTR of guinea pig is 771 nt long and shows higher similarity with human than with rodent sequences, having a region of about 350 nt that is deleted in rat and mouse. In the 3' UTR we have identified the presence of a mammalian-wide interspersed repeat sequence and of a cytoplasmic polyadenylation element, which could be involved in translational activation by promoting polyadenylation of mRNA, providing information about a possible mechanism of regulation of p53 expression mediated by the 3' UTR of the mRNA. The observations presented here could open new avenues to targeted mutations and experimental approaches useful in investigating new regulation mechanisms of p53 translation, activity, and stability.

The genome sequence of a Sphingobium strain capable of tolerating high concentrations of Ni ions, and exhibiting natural kanamycin resistance, is presented. The presence of a transposon derived kanamycin resistance gene and several genes for efflux-mediated metal resistance may explain the observed characteristics of the new Sphingobium isolate.

Background Recent studies have demonstrated an unexpected complexity of transcription in eukaryotes. The majority of the genome is transcribed and only a little fraction of these transcripts is annotated as protein coding genes and their splice variants. Indeed, most transcripts are the result of antisense, overlapping and non-coding RNA expression. In this frame, one of the key aims of high throughput transcriptome sequencing is the detection of all RNA species present in the cell and the first crucial step for RNA-seq users is represented by the choice of the strategy for cDNA library construction. The protocols developed so far provide the utilization of the entire library for a single sequencing run with a specific platform. Results We set up a unique protocol to generate and amplify a strand-specific cDNA library representative of all RNA species that may be implemented with all major platforms currently available on the market (Roche 454, Illumina, ABI/SOLiD). Our method is reproducible, fast, easy-to-perform and even allows to start from low input total RNA. Furthermore, we provide a suitable bioinformatics tool for the analysis of the sequences produced following this protocol. Conclusion We tested the efficiency of our strategy, showing that our method is platform-independent, thus allowing the simultaneous analysis of the same sample with different NGS technologies, and providing an accurate quantitative and qualitative portrait of complex whole transcriptomes.

We tracked temporal changes in protist diversity at the Long Term Ecological Research (LTER) station MareChiara in the Gulf of Naples (Mediterranean Sea) on eight dates in 2011 using a metabarcoding approach. Illumina analysis of the V4 and V9 fragments of the 18S rDNA produced 869 522 and 1 410 071 sequences resulting in 6517 and 6519 OTUs, respectively. Marked compositional variations were recorded across the year, with less than 2% of OTUs shared among all samples and similar patterns for the two marker tags. Alveolata, Stramenopiles and Rhizaria were the most represented groups. A comparison with light microscopy data indicated an over-representation of Dinophyta in the sequence dataset, whereas Bacillariophyta showed comparable taxonomic patterns between sequence and light microscopy data. Shannon diversity values were stable from February to September, increasing thereafter with a peak in December. Community variance was mainly explained by seasonality (as temperature), trophic status (as chlorophyll a ), and influence of coastal waters (as salinity). Overall, the background knowledge of the system provided a sound context for the result interpretation, showing that LTER sites provide an ideal setting for high-throughput sequencing (HTS) metabarcoding characterisation of protist assemblages and their relationships with environmental variations.

p53 is a central hub in controlling cell proliferation. To maintain genome integrity in response to cellular stress, p53 directly regulates the transcription of genes involved in cell cycle arrest, DNA repair, apoptosis and/or senescence. An array of post-translational modifications and protein-protein interactions modulates its stability and activities in order to avoid malignant transformation. However, to date it is still not clear how cells decide their own fate in response to different types of stress. We described here that the human TRIM8 protein, a member of the TRIM family, is a new modulator of the p53-mediated tumor suppression mechanism. We showed that under stress conditions, such as UV exposure, p53 induced the expression of TRIM8, which in turn stabilized p53 leading to cell cycle arrest and reduction of cell proliferation through enhancement of CDKN1A (p21) and GADD45 expression. TRIM8 silencing reduced the capacity of p53 to activate genes involved in cell cycle arrest and DNA repair, in response to cellular stress. Concurrently, TRIM8 overexpression induced the degradation of the MDM2 protein, the principal regulator of p53 stability. Co-immunoprecipitation experiments showed that TRIM8 physically interacted with p53, impairing its interaction with MDM2. Altogether, our results reveal a previously unknown regulatory pathway controlling p53 activity and suggest TRIM8 as a novel therapeutic target to enhance p53 tumor suppressor activity.

We have analyzed the tRNALys, ATPase8, ATPase6, COIII region of mitochondrial DNA in several human tissues. Beside the mature tRNALys, ATPase8 and ATPase6 common mRNA, and COIII mRNA, we have characterized two new transcripts, called RNA 20 and RNA 21. The RNA 20 is a precursor species which contains the tRNALys plus the ATPase8 and ATPase6 common mRNA; the RNA 21 is an RNA species shorter than the ATPase8 and ATPase6 common mRNA. The relative concentration of the mature with respect to that of the new species proved different in the various tissues. These findings provide new insights into the mitochondrial transcription mechanism opening the question of a possibly regulatory role of the processing on the expression of the mitochondrial genome.

Background Many evidences report that alternative splicing, the mechanism which produces mRNAs and proteins with different structures and functions from the same gene, is altered in cancer cells. Thus, the identification and characterization of cancer-specific splice variants may give large impulse to the discovery of novel diagnostic and prognostic tumour biomarkers, as well as of new targets for more selective and effective therapies. Results We present here a genome-wide analysis of the alternative splicing pattern of human genes through a computational analysis of normal and cancer-specific ESTs from seventeen anatomical groups, using data available in AspicDB, a database resource for the analysis of alternative splicing in human. By using a statistical methodology, normal and cancer-specific genes, splice sites and cassette exons were predicted in silico. The condition association of some of the novel normal/tumoral cassette exons was experimentally verified by RT-qPCR assays in the same anatomical system where they were predicted. Remarkably, the presence in vivo of the predicted alternative transcripts, specific for the nervous system, was confirmed in patients affected by glioblastoma. Conclusion This study presents a novel computational methodology for the identification of tumor-associated transcript variants to be used as cancer molecular biomarkers, provides its experimental validation, and reports specific biomarkers for glioblastoma.

Despite extensive studies on the role of tumor suppressor p53 protein and its homologues, p73 and p63, following their overexpression or cellular stress, very little is known about the regulation of the three proteins in cells during physiologic cell cycle progression. We report a role for p73 and p63 in supporting cellular proliferation through the transcriptional activation of the genes involved in G1-S and G2-M progression. We found that in MCF-7 cells, p73 and p63, but not p53, are modulated during the cell cycle with a peak in S phase, and their silencing determines a significant suppression of proliferation compared with the control. Chromatin immunoprecipitation analysis shows that in cycling cells, p73 and p63 are bound to the p53-responsive elements (RE) present in the regulatory region of cell cycle progression genes. On the contrary, when the cells are arrested in G0-G1, p73 detaches from the REs and it is replaced by p53, which represses the expression of these genes. When the cells move in S phase, p73 is recruited again and p53 is displaced or is weakly bound to the REs. These data open new possibilities for understanding the involvement of p73 and p63 in cancer. The elevated concentrations of p73 and p63 found in many cancers could cause the aberrant activation of cell growth progression genes and therefore contribute to cancer initiation or progression under certain conditions. [Cancer Res 2009;69(22):8563–71]

p63 belongs to a family of transcription factors, which, while demonstrating striking conservation of functional domains, regulate distinct biological functions. Its principal role is in the regulation of epithelial commitment, differentiation and maintenance programs, during embryogenesis and in adult tissues. The p63 gene has a complex transcriptional pattern, producing two subclasses of N-terminal isoforms (TA and DeltaN) which are alternatively spliced at the C-terminus. Here, we report the identification of two new C-terminus p63 variants, we named p63 delta and epsilon, that increase from 6 to 10 the number of the p63 isoforms. Expression analysis of all p63 variants demonstrates a tissue/cell-type-specific nature of p63 alternative transcript expression, probably related to their different cellular functions. We demonstrate that the new p63 variants as DeltaN isoforms are active as transcription factors as they have nuclear localization and can modulate the expression of p63 target genes. Moreover, we report that, like DeltaNp63alpha, DeltaNp63delta and epsilon sustain cellular proliferation and that their expression decreases during keratinocyte differentiation, suggesting their involvement in this process. Taken together, our results demonstrate the existence of novel p63 proteins whose expression should be considered in future studies on the roles of p63 in the regulation of cellular functions.

Motivation: Alternative splicing has recently emerged as a key mechanism responsible for the expansion of transcriptome and proteome complexity in human and other organisms. Although several online resources devoted to alternative splicing analysis are available they may suffer from limitations related both to the computational methodologies adopted and to the extent of the annotations they provide that prevent the full exploitation of the available data. Furthermore, current resources provide limited query and download facilities. Results: ASPicDB is a database designed to provide access to reliable annotations of the alternative splicing pattern of human genes and to the functional annotation of predicted splicing isoforms. Splice-site detection and full-length transcript modeling have been carried out by a genome-wide application of the ASPic algorithm, based on the multiple alignments of gene-related transcripts (typically a Unigene cluster) to the genomic sequence, a strategy that greatly improves prediction accuracy compared to methods based on independent and progressive alignments. Enhanced query and download facilities for annotations and sequences allow users to select and extract specific sets of data related to genes, transcripts and introns fulfilling a combination of user-defined criteria. Several tabular and graphical views of the results are presented, providing a comprehensive assessment of the functional implication of alternative splicing in the gene set under investigation. ASPicDB, which is regularly updated on a monthly basis, also includes information on tissue-specific splicing patterns of normal and cancer cells, based on available EST sequences and their library source annotation. Availability: www.caspur.it/ASPicDB Contact: graziano.pesole@biologia.uniba.it Supplementary information: Supplementary data are available at Bioinformatics online.

Background The p53 gene family consists of the three genes p53, p63 and p73, which have polyhedral non-overlapping functions in pivotal cellular processes such as DNA synthesis and repair, growth arrest, apoptosis, genome stability, angiogenesis, development and differentiation. These genes encode sequence-specific nuclear transcription factors that recognise the same responsive element (RE) in their target genes. Their inactivation or aberrant expression may determine tumour progression or developmental disease. The discovery of several protein isoforms with antagonistic roles, which are produced by the expression of different promoters and alternative splicing, widened the complexity of the scenario of the transcriptional network of the p53 family members. Therefore, the identification of the genes transactivated by p53 family members is crucial to understand the specific role for each gene in cell cycle regulation. We have combined a genome-wide computational search of p53 family REs and microarray analysis to identify new direct target genes. The huge amount of biological data produced has generated a critical need for bioinformatic tools able to manage and integrate such data and facilitate their retrieval and analysis. Description We have developed the p53FamTaG database (p53 FAMily TArget Genes), a modular relational database, which contains p53 family direct target genes selected in the human genome searching for the presence of the REs and the expression profile of these target genes obtained by microarray experiments. p53FamTaG database also contains annotations of publicly available databases and links to other experimental data. The genome-wide computational search of the REs was performed using PatSearch, a pattern-matching program implemented in the DNAfan tool. These data were integrated with the microarray results we produced from the overexpression of different isoforms of p53, p63 and p73 stably transfected in isogenic cell lines, allowing the comparative study of the transcriptional activity of all the proteins in the same cellular background. p53FamTaG database is available free at http://www2.ba.itb.cnr.it/p53FamTaG/ Conclusion p53FamTaG represents a unique integrated resource of human direct p53 family target genes that is extensively annotated and provides the users with an efficient query/retrieval system which displays the results of our microarray experiments and allows the export of RE sequences. The database was developed for supporting and integrating high-throughput in silico and experimental analyses and represents an important reference source of knowledge for research groups involved in the field of oncogenesis, apoptosis and cell cycle regulation.

An unresolved issue regards the role of p73 and p63, the two homologs of the p53 oncosuppressor gene, in normal cells and in tumor development. Specific target genes for each protein need to be identified and characterized in order to understand the specific role of each protein in tumor initiation and progression as well as in oncosuppression and development. We tested whether p63 is implicated in transcriptional events related to sustaining cell proliferation by transactivation of antiapoptotic and cell survival target genes such as Adenosine Deaminase (ADA), an important gene involved in cell proliferation. We demonstrate that ADA is a direct target gene of p63 isoforms. In human keratinocytes, the rate of proliferation and the high level of ADA transcript diminished upon elimination of p63 by small interfering RNA. Reporter assays and chromatin immunoprecipitation experiments indicate a physical interaction of p63 with the two putative p53 binding sites we identified in the ADA gene. Moreover, in response to p53 stabilization and DeltaNp63 downregulation in normal keratinocytes after U.V. treatment, we found a change in the transcriptional pattern of the p53 family target genes, consistent with the different roles played by p53 and p63 in tumor suppression and cellular proliferation. In fact p53 upregulation determined an increase in p21, which in turn mediated the cell cycle arrest, while the downregulation of DeltaNp63 determined a marked decrease in ADA transcript. The experiments reported here support the hypothesis that TAp63 and DeltaNp63 might contribute to tumor genesis not exclusively by antagonizing p53, but by conferring a proliferative potential on cancer cells through the transactivation of target genes indispensable for cell division, such as the Adenosine Deaminase gene.

Molecular phylogenies based on the molecular clock require the comparison of orthologous genes. Orthologous and paralogous genes usually have very different evolutionary fates. In general, orthologs keep the same functions in species, whereas, particularly over a long time span, paralogs diverge functionally and may become pseudogenes or get lost. In eukaryotic genomes, because of the degree of redundancy of genetic information, homologous genes are grouped in gene families, the evolution of which may differ greatly between the various organisms. This implies that each gene in a species does not always have an ortholog in another species and thus, due to multiple duplication events following a speciation, many orthologous clades of paralogs are generated. We are often dealing with a one-to-many or many-to-many relationship between genes. In this paper, we analyze the evolution of two gene families, the p53 gene family and the porin gene family. The evolution of the p53 family shows a one-to-many gene relationship going from invertebrates to vertebrates. In invertebrates only a single gene has been found, while in vertebrates three members of the family, namely p53, p63, and p73, are present. The evolution of porin (VDAC) genes (VDAC1, VDAC2, and VDAC3) is an example of a many-to-many gene relationship going from yeast to mammals. However, the porin gene redundancy found in invertebrates and possibly in some fishes may indicate a tendency to duplicate the genetic material, rather than a real need for function innovation.

Mutations in the p53 oncosuppressor gene occur in most human cancers and regulation of the protein is defective in a variety of others. Novel strategies are emerging for the treatment of tumors that have p53 mutations. In this context, the analysis of p53 status is useful in diagnosis and prognosis, and could serve to evaluate the effectiveness of a cancer treatment. In this review, we report an overview of major methods for screening tumors for p53 status and the major strategies suggested for restoring p53 function.

regarded as an important pathogenetic factor that contributes to chronic neuroinflammation.We determined a relationship between EBV, HHV-6 and HHV-7 viral load in the saliva and serum levels of pro-inflammatory cytokines (IFNalpha, IFNgamma, IL-1, IL-2) in a group of ME patients. Materials: 32 ME patients (11 female, mean age 32 ± 5) were enrolled into the study. The patients were divided into groups based on viral load and on viruses detected. 30 volunteers (12 female, mean age 32.3 ± 4.7) were enrolled as controls. Real-time quantitative PCR was used to assess the viral load, and ELISA was used to assess serum cytokine levels. Mann–Whitney U-test was used for statistical analysis. Results: Mean cytokine levels were higher in ME patients than in controls. To study the impact of EBV on cytokine levels, EBV-positiveME patients (n = 19) were divided into group 1 (EBV b 4 lg copies/ml) and group 2 (EBV N 4 lg copies/ml). Mean IFNgamma level differed significantly (p b 0.01) between groups (121.26 ± 41.76 pg/ml and 13.15 ± 5.76 pg/ml), and mean IL-2 level differed (p= 0.05) between groups (33.3 ± 15.66 pg/ml and 17 ± 16.8 pg/ml). Also, in group 2 EBV load correlatedwell with IFNgamma (r =−0.5, p b 0.05) andwith IL-2 levels (r =−0.56, p b 0.025). Mean IFNgamma and IL-2 levels were lower in patientswith EBV/HHV-6 coinfection then in patientswith EBV and without HHV-6, but the difference was not significant. To study the role of HHV-7 inME, we determined HHV-7 load in 22 random patients from ME group. In these patients, HHV-7 load N 6 lg copies/ml was a good marker for EBV load N 4 lg copies/ml (sensitivity 70%, specificity 100%), and HHV-7 load correlated well with EBV load (r = 0.8524, p b 0.001). 2 groups were formed based on HHV-7 load: group 1b (HHV-7 b 6 lg c/ml), and group 2b (HHV-7 N 6 lg c/ml). Mean EBV load differed significantly (p b 0.05) between groups (3.3 ± 0.6 lg copies/ml and 5.49 ± 0.76 lg copies/ml). Conclusions: ME patients differ in Th1-cell cytokine levels (IFNgamma and IL-2) depending on EBV viral load in the saliva. This result supports the suppressive impact of EBV on IFNgamma secretion described in vitro. HHV-7 viral load has predictive value for EBV viral load in ME patients. We are planning to assess cytokines in saliva as well as in blood serum of ME patients.

The presence and type of mutations of the p53 tumor suppressor gene were determined in 40 patients undergoing curative hepatic resection for metastatic colorectal carcinoma. This represents the largest series in the literature on the screening of p53 mutations for liver metastases. The analysis was performed in exons 5-9 by denaturing gradient gel electrophoresis followed by direct sequencing. Forty-five percent of tumors showed mutation in p53, and this was observed only in exons 5-8. Mutations at codon positions 167, 196, 204, 213, 245, 281, 282, 286, and 306; deletion of codon 251 and of the first nucleotide of codon 252; and Leu residue (CTC) insertion downstream codon 252 are reported for the first time in colorectal liver metastasis. Mutations at codon positions 163, 248, and 273 have been reported previously. Correlation of p53 status with clinical parameters showed that patients with mutated p53 had a statistically higher number of lesions when compared with patients with wild-type p53 (P0.050). In particular, of patients with mutated p53, 41% had three or more metastases compared with 14% of patients with wild-type p53. Synchronous metastases were present in 70% of the patients with p53 mutations and in only 29% of patients with wild-type p53 (P0.025). In addition, patients with p53 mutations are more likely to develop recurrence (73%) compared with patients with wild-type p53 (33%; P0.001). Other factors considered, including preoperative carcinoembryonic antigen level, bilobar distribution, and size of the lesion(s), did not show significant correlation with p53 status. These results suggest that p53 status might be an important prognostic indicator to predict the pattern and likelihood of treatment failure after hepatic resection.

IN 1991 Graur et al. raised the question of whether the guinea-pig, Cavia porcellus, is a rodent1. They suggested that the guinea-pig and myomorph rodents diverged before the separation between myomorph rodents and a lineage leading to primates and artiodactyls. Several findings have since been reported, both for and against this phylogeny, thereby highlighting the issue of the validity of molecular analysis in mammalian phylogeny. Here we present findings based on the sequence of the complete mitochondrial genome of the guinea-pig, which strongly contradict rodent monophyly. The conclusions are based on the cumulative evidence provided by orthologically inherited genes and the use of three different analytical methods, none of which joins the guinea-pig with myomorph rodents. In addition to the phylogenetic conclusions, we also draw attention to several factors that are important for the validity of phylogenetic analysis based on molecular data.

Many evidences report that alternative splicing, the mechanism producing mRNAs and proteins with different structures and functions from the same gene, is altered in cancer cells. Thus, the identification and characterization of cancer-specific splice variants may give large impulse to the discovery of novel diagnostic and prognostic tumor biomarkers, as well as of new targets for more selective and effective therapies. We developed novel and effective computational tools for performing a genome-wide analysis of the alternative splicing pattern of human genes using both exon array and RNA-Seq data. Notably, we sought to identify “cassette exon” generated by exon skipping differentially expressed in the tumor and normal conditions. To this aim we analyzed data obtained by exon array hybridization from clear cell renal carcinoma (ccRC) and colorectal cancer (CRC) samples as well as from the corresponding normal controls. Furthermore, high-throughput transcriptome sequencing from CRC and control samples were also analyzed. By using our computational strategy we identified several cassette exons differentially expressed in the tumoral and normal conditions. In order to test the effectiveness of our computational strategy, we experimentally verified the occurrence of tumor- and normal-specific cassette exons by RT-qPCR assay. Remarkably, we were able to confirm “in vivo” the differential expression of these predicted cassette exons in patients affected by CRC and ccRC. This study presents a novel computational methodology for the identification of tumor-associated transcript variants to be used as cancer molecular biomarkers, provides its experimental validation, and reports specific candidate biomarkers for CRC and ccRC. Citation Format: Alessio Valletti, Orazio Palumbo, Mattia D'Antonio, Tiziana Castrignano, Margherita Gigante, Massimo Carella, Ernesto Picardi, Anna Maria D'Erchia, Elena Ranieri, Graziano Pesole. Identification of tumor-associated cassette exons in human cancer through exon-array and RNA-Seq data analysis. [abstract]. In: Proceedings of the AACR Special Conference on Post-GWAS Horizons in Molecular Epidemiology: Digging Deeper into the Environment; 2012 Nov 11-14; Hollywood, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2012;21(11 Suppl):Abstract nr IA06.

We have characterized the transcriptional pattern of the rat mitochondrial ND6-containing region in vivo. We have identified a stable polyadenylated RNA species complementary for the full length of the ND6 mRNA. The analysis of the ND5 region has revealed the presence of an antisense RNA only at its 3′ end. The presence of these stable antisense species complementary to structural genes is intriguing and suggests a possible regulatory function. The quantitative analyses have demonstrated that the H transcripts, both codogenic and non-codogenic, are more stable than the L transcripts. We have defined the 5′ end of the ND6 mRNA at the level of the ATG downstream of the tRNAGlu. The mapping of the ND1 5′ end has demonstrated that GTG is the first codon of the mRNA. Our findings suggest that the post-transcriptional mechanisms involved in the expression of the mt genome are much more numerous and complex than those already described in the literature.

The rapid expansion of multicellular native and alien species outbreaks in aquatic and terrestrial ecosystems (bioinvasions) may produce significant impacts on bacterial community dynamics and nutrient pathways with major ecological implications. In aquatic ecosystems, bioinvasions may cause adverse effects on the water quality resulting from changes in biological, chemical and physical properties linked to significant transformations of the microbial taxonomic and functional diversity. Here we used an effective and highly sensitive experimental strategy, bypassing the efficiency bottleneck of the traditional bacterial isolation and culturing method, to identify changes of the planktonic microbial community inhabiting a marine coastal lagoon (Varano, Adriatic Sea) under the influence of an outbreak-forming alien jellyfish species. Water samples were collected from two areas that differed in their level of confinement inside in the lagoon and jellyfish densities (W, up to 12.4 medusae m(-3); E, up to 0.03 medusae m(-3)) to conduct a snapshot microbiome analysis by a metagenomic approach. After extraction of the genetic material in the environmental water samples, we deep-sequenced metagenomic amplicons of the V5-V6 region of the 16S rRNA bacterial gene by an Illumina MiSeq platform. Experiments were carried out in triplicates, so six libraries of dual indexed amplicons of 420 bp were successfully sequenced on the MiSeq platform using a 2 x 250 bp paired-end sequencing strategy. Approximately 7.5 million paired-end reads (i.e. 15 million total reads) were generated, with an average of 2.5 million reads (1.25 M pairs) per sample replicate. The sequence data, analyzed through a novel bioinformatics pipeline (BioMaS), showed that the structure of the resident bacterial community was significantly affected by the occurrence of jellyfish outbreaks. Clear qualitative and quantitative differences were found between the western and eastern areas (characterized by many or few jellyfish), with 84 families, 153 genera and 324 species in the W samples, and 104 families, 199 genera and 331 species in the E samples. Significant differences between the two sampling areas were particularly detected in the occurrence of 16 families, 22 genera and 61 species of microbial taxa. This is the first time that a NGS platform has been used to screen the impact of jellyfish bioinvasions on the aquatic microbiome, providing a preliminary assessment of jellyfish-driven changes of the functional and structural microbial biodiversity.

// Mariano Francesco Caratozzolo 1,* , Alessio Valletti 2,* , Margherita Gigante 3 , Italia Aiello 4 , Francesca Mastropasqua 4 , Flaviana Marzano 1 , Pasquale Ditonno 5 , Giuseppe Carrieri 6 , Helene Simonnet 7 , Anna Maria D’Erchia 4 , Elena Ranieri 3 , Graziano Pesole 2,4 , Elisabetta Sbisa 1 and Apollonia Tullo 1 1 Institute for Biomedical Technologies ITB, Bari, Italy 2 Institute of Biomembranes and Bioenergetics IBBE, Bari, Italy 3 Dept Biomedical Science, University of Foggia, Foggia, Italy 4 Dept Biosciences, Biotechnologies and Biopharmaceutics, University of Bari “A. Moro”, Bari, Italy 5 Dept Emergency and Organ Transplantation DETO, University of Bari “A. Moro”, Bari, Italy 6 Dept Surgical Science, University of Foggia, Foggia, Italy 7 Centre de Recherche en Cancerologie de Lyon, Faculte de Medecine Lyon-Est, LYON Cedex 08 France * These authors contributed equally to this work Correspondence: Apollonia Tullo, email: // Keywords : ccRCC, drug resistance, TRIM8, cisplatin, nutlin 3, p53 Received : April 24, 2014 Accepted : June 6, 2014 Published : June 8, 2014 Abstract In some tumours, despite a wild-type p53 gene, the p53 pathway is inactivated by alterations in its regulators or by unknown mechanisms, leading to resistance to cytotoxic therapies. Understanding the mechanisms of functional inactivation of wild-type p53 in these tumours may help to define prospective targets for treating cancer by restoring p53 activity. Recently, we identified TRIM8 as a new p53 modulator, which stabilizes p53 impairing its association with MDM2 and inducing the reduction of cell proliferation. In this paper we demonstrated that TRIM8 deficit dramatically impairs p53-mediated cellular responses to chemotherapeutic drugs and that TRIM8 is down regulated in patients affected by clear cell Renal Cell Carcinoma (ccRCC), an aggressive drug-resistant cancer showing wild-type p53. These results suggest that down regulation of TRIM8 might be an alternative way to suppress p53 activity in RCC. Interestingly, we show that TRIM8 expression recovery in RCC cell lines renders these cells sensitive to chemotherapeutic treatments following p53 pathway re-activation. These findings provide the first mechanistic link between TRIM8 and the drug resistance of ccRCC and suggest more generally that TRIM8 could be used as enhancer of the chemotherapy efficacy in cancers where p53 is wild-type and its pathway is defective.

The discovery that the p53 family consists of three members (p53, p63 and p73) in vertebrates and of a single homolog in invertebrates has raised the challenge of understanding the functions of the ancestor and how they have evolved and differentiated within the duplicated genes in vertebrates. Here, we report that the fatty acid synthase (FAS) gene, encoding for a key enzyme involved in the biogenesis of membrane lipids in rapidly proliferating cells, is a conserved target of the p53 family throughout the evolution. We show that CEP-1, the C. elegans p53 homolog, is able to bind the two p53 family responsive elements (REs) identified in the worm fasn-1 gene. Moreover, we demonstrate that fasn-1 expression is modulated by CEP-1 in vivo, by comparing wild-type and CEP-1 knockout worms. In human, luciferase and chromatin immunoprecipitation assays demonstrate that TAp73alpha and DeltaNp63alpha, but not p53, TAp73beta and TAp63alpha bind the two p53 REs of the human FASN gene. We show that the ectopic expression of TAp73alpha and DeltaNp63alpha leads to an increase of FASN mRNA levels, while their silencing produces a decrease of FASN expression. Furthermore, we present data showing a correlation between DeltaNp63alpha and FASN expression in cellular proliferation. Of relevant importance is that fasn-1 is the first CEP-1 direct target gene identified so far in C. elegans and our results suggest a new CEP-1 role in cellular proliferation and development, besides the one already described in apoptosis of germ cells. These data confirm the hypothesis that the ancestral functions of the single invertebrate gene may have been spread out among the three vertebrate members, each of them have acquired specific role in cell cycle regulation.

Background The study of RNA has been dramatically improved by the introduction of Next Generation Sequencing platforms allowing massive and cheap sequencing of selected RNA fractions, also providing information on strand orientation (RNA-Seq). The complexity of transcriptomes and of their regulative pathways make RNA-Seq one of most complex field of NGS applications, addressing several aspects of the expression process (e.g. identification and quantification of expressed genes and transcripts, alternative splicing and polyadenylation, fusion genes and trans-splicing, post-transcriptional events, etc.). Moreover, the huge volume of data generated by NGS platforms introduces unprecedented computational and technological challenges to efficiently analyze and store sequence data and results. Methods In order to provide researchers with an effective and friendly resource for analyzing RNA-Seq data, we present here RAP (RNA-Seq Analysis Pipeline), a cloud computing web application implementing a complete but modular analysis workflow. This pipeline integrates both state-of-the-art bioinformatics tools for RNA-Seq analysis and in-house developed scripts to offer to the user a comprehensive strategy for data analysis. RAP is able to perform quality checks (adopting FastQC and NGS QC Toolkit), identify and quantify expressed genes and transcripts (with Tophat, Cufflinks and HTSeq), detect alternative splicing events (using SpliceTrap) and chimeric transcripts (with ChimeraScan). This pipeline is also able to identify splicing junctions and constitutive or alternative polyadenylation sites (implementing custom analysis modules) and call for statistically significant differences in genes and transcripts expression, splicing pattern and polyadenylation site usage (using Cuffdiff2 and DESeq). Results Through a user friendly web interface, the RAP workflow can be suitably customized by the user and it is automatically executed on our cloud computing environment. This strategy allows to access to bioinformatics tools and computational resources without specific bioinformatics and IT skills. RAP provides a set of tabular and graphical results that can be helpful to browse, filter and export analyzed data, according to the user needs.