242 results on '"Giugno, R"'
Search Results
2. Clustered Trie Structures for Approximate Search in Hierarchical Objects Collections
- Author
-
Giugno, R., Pulvirenti, A., Recupero, D. Reforgiato, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Singh, Sameer, editor, Singh, Maneesha, editor, Apte, Chid, editor, and Perner, Petra, editor
- Published
- 2005
- Full Text
- View/download PDF
3. Ion acceleration in non-equilibrium plasmas driven by fast drifting electron
- Author
-
Castro, G., Di Bartolo, F., Gambino, N., Mascali, D., Romano, F.P., Anzalone, A., Celona, L., Gammino, S., Di Giugno, R., Lanaia, D., Miracoli, R., Serafino, T., and Tudisco, S.
- Published
- 2013
- Full Text
- View/download PDF
4. Biometal Dyshomeostasis in Olfactory Mucosa of Alzheimer's Disease Patients.
- Author
-
Lampinen, R, Górová, V, Avesani, S, Liddell, JR, Penttilä, E, Závodná, T, Krejčík, Z, Lehtola, J-M, Saari, T, Kalapudas, J, Hannonen, S, Löppönen, H, Topinka, J, Koivisto, AM, White, AR, Giugno, R, Kanninen, KM, Lampinen, R, Górová, V, Avesani, S, Liddell, JR, Penttilä, E, Závodná, T, Krejčík, Z, Lehtola, J-M, Saari, T, Kalapudas, J, Hannonen, S, Löppönen, H, Topinka, J, Koivisto, AM, White, AR, Giugno, R, and Kanninen, KM
- Abstract
Olfactory function, orchestrated by the cells of the olfactory mucosa at the rooftop of the nasal cavity, is disturbed early in the pathogenesis of Alzheimer's disease (AD). Biometals including zinc and calcium are known to be important for sense of smell and to be altered in the brains of AD patients. Little is known about elemental homeostasis in the AD patient olfactory mucosa. Here we aimed to assess whether the disease-related alterations to biometal homeostasis observed in the brain are also reflected in the olfactory mucosa. We applied RNA sequencing to discover gene expression changes related to metals in olfactory mucosal cells of cognitively healthy controls, individuals with mild cognitive impairment and AD patients, and performed analysis of the elemental content to determine metal levels. Results demonstrate that the levels of zinc, calcium and sodium are increased in the AD olfactory mucosa concomitantly with alterations to 17 genes related to metal-ion binding or metal-related function of the protein product. A significant elevation in alpha-2-macroglobulin, a known metal-binding biomarker correlated with brain disease burden, was observed on the gene and protein levels in the olfactory mucosa cells of AD patients. These data demonstrate that the olfactory mucosa cells derived from AD patients recapitulate certain impairments of biometal homeostasis observed in the brains of patients.
- Published
- 2022
5. Ten Quick Tips for Biomarker Discovery and Validation Analyses Using Machine Learning
- Author
-
Luxembourg Centre for Systems Biomedicine (LCSB): Biomedical Data Science (Glaab Group) [research center], Fonds National de la Recherche - FnR [sponsor], European Union - Horizon 2020 [sponsor], Diaz-Uriarte, R., Gómez de Lope, Elisa, Giugno, R., Fröhlich, H., Nazarov, Petr, Nepomuceno-Chamorro, I. A., Rauschenberger, Armin, Glaab, Enrico, Luxembourg Centre for Systems Biomedicine (LCSB): Biomedical Data Science (Glaab Group) [research center], Fonds National de la Recherche - FnR [sponsor], European Union - Horizon 2020 [sponsor], Diaz-Uriarte, R., Gómez de Lope, Elisa, Giugno, R., Fröhlich, H., Nazarov, Petr, Nepomuceno-Chamorro, I. A., Rauschenberger, Armin, and Glaab, Enrico
- Abstract
High-throughput experimental methods for biosample profiling and growing collections of clinical and health record data provide ample opportunities for biomarker discovery and medical decision support. However, many of the new data types, including single-cell omics and high-resolution cellular imaging data, also pose particular challenges for data analysis. A high dimensionality of the data in relation to small numbers of available samples, influences of additive and multiplicative noise, large numbers of uninformative or redundant data features, outliers, confounding factors and imbalanced sample group numbers are all common characteristics of current biomedical data collections. While first successes have been achieved in developing clinical decision support tools using multifactorial omics data, there is still an unmet need and great potential for earlier, more accurate and robust diagnostic and prognostic tools for many complex diseases. Here, we provide a set of broadly applicable tips to address some of the most common pitfalls and limitations for biomarker signature development, including supervised and unsupervised machine learning, feature selection and hypothesis testing approaches. In contrast to previous guidelines discussing detailed aspects of quality control, statistics or study reporting, we give a broader overview of the typical challenges and sort the quick tips to address them chronologically by the study phase (starting with study design, then covering consecutive phases of biomarker signature discovery and validation, see also the overview in Fig. 1). While these tips are not comprehensive, they are chosen to cover what we consider as the most frequent, significant, and practically relevant issues and risks in biomarker development. By pointing the reader to further relevant literature on the covered aspects of biomarker discovery and validation, we hope to provide an initial guideline and entry point into the more detailed technical and applic
- Published
- 2022
6. Error-Tolerant Database for Structured Images
- Author
-
Ferro, A., Gallo, G., Giugno, R., Goos, Gerhard, editor, Hartmanis, Juris, editor, van Leeuwen, Jan, editor, Huijsmans, Dionysius P., editor, and Smeulders, Arnold W. M., editor
- Published
- 1999
- Full Text
- View/download PDF
7. An entropy heuristic to optimize decision diagrams for index-driven search in biological graph databases
- Author
-
Licheri, N., Amparore, E., Bonnici, V., Giugno, R., and Beccuti, M.
- Published
- 2021
8. Integrated analysis of RNA-seq, MBD-seq and copy number variations in canine marginal zone and follicular lymphoma
- Author
-
Giannuzzi D, Giudice L, Marconato L, Ferraresso S, Giugno R, Bertoni F, Aresu L, and Giannuzzi D, Giudice L, Marconato L, Ferraresso S, Giugno R, Bertoni F, Aresu L
- Subjects
dog, lymphoma, indolent, RNA-seq, MBD-seq, copy number variations - Published
- 2019
9. Cellular and molecular effects of protons: Apoptosis induction and potential implications for cancer therapy
- Author
-
Di Pietro, C., Piro, S., Tabbì, G., Ragusa, M., Di Pietro, V., Zimmitti, V., Cuda, F., Anello, M., Consoli, U., Salinaro, E. T., Caruso, M., Vancheri, C., Crimi, N., Sabini, M. G., Cirrone, G. A. P., Raffaele, L., Privitera, G., Pulvirenti, A., Giugno, R., Ferro, A., Cuttone, G., Nigro, S. Lo, Purrello, R., Purrello, F., and Purrello, M.
- Published
- 2006
- Full Text
- View/download PDF
10. Clustered Trie Structures for Approximate Search in Hierarchical Objects Collections
- Author
-
Giugno, R., primary, Pulvirenti, A., additional, and Recupero, D. Reforgiato, additional
- Published
- 2005
- Full Text
- View/download PDF
11. PROBABILISTIC APRIORI AND EPISODE MINING TECHNIQUE FOR INTELLIGENT MANAGEMENT OF WATER SUPPLY NETWORKS
- Author
-
FERRO, A., primary, GIUGNO, R., additional, PULVIRENTI, A., additional, GUELI, R., additional, MONGIOVI, M., additional, ELIA, A., additional, and PAPARONE, D., additional
- Published
- 2004
- Full Text
- View/download PDF
12. PSEN1ΔE9, APPswe, and APOE4 Confer Disparate Phenotypes in Human iPSC-Derived Microglia
- Author
-
Konttinen H, Cabral-da-Silva MEC, Ohtonen S,Wojciechowski S, Shakirzyanova A, Caligola S, Giugno R,Ishchenko Y, Hernández D, Fazaludeen MF, Eamen S,Budia MG,Fagerlund I, Scoyni F, Korhonen P, Huber N,Haapasalo A, Hewitt AW, Vickers J, Smith GC, OksanenM, Graff C, Kanninen KM, Lehtonen S, Propson N,Schwartz MP, Pébay A, Koistinaho J, Ooi L, Malm T.
- Published
- 2019
- Full Text
- View/download PDF
13. NetMatch: a Cytoscape plugin for searching biological networks
- Author
-
Ferro, A., Giugno, R., Pigola, G., Pulvirenti, A., Skripin, D., Bader, G. D., and Shasha, D.
- Published
- 2007
14. Error-Tolerant Database for Structured Images
- Author
-
Ferro, A., primary, Gallo, G., additional, and Giugno, R., additional
- Published
- 1999
- Full Text
- View/download PDF
15. CHARACTERIZATION OF MESENCHYMAL STROMAL CELL-DERIVED EXTRACELLULAR VESICLES AND CORRELATION WITH THEIR IMMUNOSUPPRESSIVE PROPERTIES TOWARDS B CELLS
- Author
-
Adamo, A, Brandi, J, Carusone, R, Bazzoni, Riccardo, Caligola, S, Cecconi, D, Giugno, R, Manfredi, M, Robotti, E, Marengo, E, Dal Collo, G, Arigoni, M, Calogero, R, Gatti, A, Kamga, Pt, Mercuri, A, and Krampera, M
- Subjects
EXTRACELLULAR VESICLES ,MESENCHYMAL STROMAL Cell - Published
- 2018
16. 79. Amyloid-PET analysis based on tissue probability maps
- Author
-
Russo, G., primary, Sardina, D.S., additional, Alongi, P., additional, Coppola, R., additional, Puglisi, V., additional, Stefano, A., additional, Giugno, R., additional, Grimaldi, L.M., additional, Scalisi, S., additional, Midiri, M., additional, and Gilardi, M.C., additional
- Published
- 2018
- Full Text
- View/download PDF
17. Molecular characterization of msc-derived extracellular vesicles and correlation with their immunomodulatory potential
- Author
-
Adamo, A., primary, Brandi, J., additional, Carusone, R., additional, Caligola, S., additional, Cecconi, D., additional, Giugno, R., additional, Manfredi, M., additional, Robotti, E., additional, Marengo, E., additional, Dal Collo, G., additional, Bazzoni, R., additional, Arigoni, M., additional, Calogero, R., additional, Gatti, A., additional, Takam Kamga, P., additional, Mercuri, A., additional, and Krampera, M., additional
- Published
- 2018
- Full Text
- View/download PDF
18. Correlation Between Proteomic Network Inference And Protein-protein Interaction Networks
- Author
-
Sardina, Ds, Micale, G, Ferro, A, Pulvirenti, Alfredo, and Giugno, R.
- Published
- 2016
19. A Web Interface To Query And Filter Data From ArrayExpress
- Author
-
Alaimo, S, Santoro, Federico Fausto, Sardina, Ds, Ferro, A, Ragusa, Marco, Giugno, R, and Pulvirenti, Alfredo
- Published
- 2016
20. RNAi screens to determine homologous recombination networks
- Author
-
Detzer, A, Engel, C, Wuensche, W, Sczakiel, G, Urschel, Stephanie, Schyth, Brian Dall, Bramsen, Jasper Bertram, Kjems, Jørgen, Wengel, Jesper, Lorenzen, Niels, Lundin, Cecilia, Evers, Bastiaan, Ebner, Daniel, Helleday, Thomas, Arthur, William, Poehlmann, TG, Schaefer, HW, Koehn, S, Imhof, D, Schubert, US, Seyfarth, L, Pan, Qiuwei, Tilanus, Hugo W, Janssen, Harry LA, van der Laan, Luc JW, Sharaf, Mariam, Vaughn, James P., Penichet, Manuel L., Juliano, Rudy, Shaw, Barbara Ramsay, Danielson, D, Cheng, J, Koukiekolo, R, Pezacki, JP, Laufer, Sandra D, Scholz, Carsten, Sczakiel, Georg, Svoboda, Petr, Rothe, Diana, Werk, Denise, Fechner, Henry, Poller, Wolfgang, Dutkiewicz, Mariola, Zeichhardt, Heinz, Grunert, Hans-Peter, Erdmann, Volker A, Kurreck, Jens, Medarova, Zdravka, Lu, Patrick, Adami, Roger, Harvie, Pierrot, Johns, Rachel, Zhu, Tianying, Seth, Shaguna, Fosnaugh, Kathy, Fam, Renata, McCutcheon, Michael, Farber, Ken, Kwang, Erin, Granger, Brian, Severson, Greg, Bell, Susan, Liu, Yan, Chen, Yan, Brown, Tod, Vaish, Narendra, Matsui, Yoshiyuki, So, Allan, Templin, Michael V, Houston, Michael, Polisky, Barry, Ballabio, Erica, Mitchell, Tracey, van Kester, Marloes, Chi, Jianxiang, Tramonti, Daniela, Chen, Xiao-He, Tosi, Isabella, Vermeer, Maarten, Whittaker, Sean J, Tensen, Cornelius P, Hatton, Christian SR, Lawrie, Charles H, Laganà, A, Russo, F, Giugno, R, Pulvirenti, A, and Ferro, A
- Subjects
Conference Proceedings - Abstract
17-18 March 2010, St Hilda's College, Oxford, United Kingdom, The Argonaute proteins constitute a highly conserved family of nucleic acid-binding proteins whose members have been implicated in RNA interference (RNAi) and related phenomena in several organisms. In particular, Argonaute 2 (Ago2) represents one of the key players in the RNA induced silencing complex (RISC). However, recently published literature describes that Ago2 itself is regulated under certain cellular conditions by post-translational modifications. In this work, we investigated the activity of human Ago2 under various conditions of cell stress. Under such conditions, the sub-cellular localization of Ago2 was altered which was coincident with its decreased function in the RNAi pathway. This work implies that specific cellular stress conditions induce an intracellular translocation of Ago2 protein excluding it from sites of action of the RNAi machinery. Details will be presented and discussed., Although microRNAs (miRNAs) have been shown to regulate genes that play roles in important biological processes such as development, differentiation and disease, identifying miRNAs of interest and characterizing their mechanism of action remains a challenge. The miR-200 family has been shown to regulate epithelial to mesenchymal transitions (EMT), a process that is critical for normal development and tumor metastasis. Furthermore, recent publications indicate that the miR-200 family regulates EMT by targeting ZEB1 and ZEB2, transcription factors that repress E-cadherin. Here, we use breast cancer cell lines as an EMT model system to characterize the miR-200 family's role in these biological processes. miRIDIAN microRNA microarray profiling was use to characterize cell lines followed by introduction of miRIDIAN miRNA mimics and hairpin inhibitors to modulate miRNA expression in these cell lines. Based on these studies we have devised a workflow for studying miRNA expression and identifying miRNA targets., Small interfering RNAs (siRNAs) are promising new active compounds in gene medicine. But one serious problem with delivering siRNAs as treatment is the well-established stimulation of innate immune reactions by some RNA duplexes and lack of effective delivery systems. Innate immune reactions towards double stranded RNAs include the 2′-5 oligoadenylate (OAS) system, the protein kinase R (PKR), RIG-I and Toll-like receptor activated pathways all resulting in activation of antiviral defence mechanism. We have previously described a high throughput animal screening model in which the level of stimulation of interferon-related anti viral effects is measured as increased resistance of siRNA-injected small fish to a pathogenic virus. Here we show how this fish model can be used to make a fast in vivo analysis of the effect of chemical base modification in the siRNAs on the level of antiviral off-target effects., Defects in DNA repair and damage response can drive tumour progression and results in genomic instability in tumour cells. Whereas these DNA repair defects can be exploited in cancer therapy where unrepaired lesions induced by anti-cancer agents increase tumour killing, these DNA repair defects can also cause resistance to anti-cancer treatments. Defects in DNA repair pathways may also render tumour cells dependent on other complementary repair pathways as seen with the synthetic lethal effect of PARP inhibitors in BRCA-defective tumours. Altogether, there is a potential use of DNA repair inhibitors in anti-cancer treatment, either in combination therapy to increase the efficacy of e.g. radiation or as mono-therapy to target essential compensatory DNA repair pathways. Homologous recombination (HR) is a repair pathway involved in repairing double-strand breaks and replication-associated lesions, the main toxic lesions induces by anti-cancer drugs. Depletion of the key protein involved in HR, the RAD51 protein, is lethal but loss of other proteins involved in HR is compatible with survival. To understand the wider network of HR proteins and with the aim to find novel proteins that can be used as targets for HR-inhibition, we have used a RNAi screen approach to create functional genetic network maps describing proteins involved in homologous recombination. Foci formation of the RAD51 protein has been studied in U2OS cells subjected to protein knock-down using a RNAi library in co-treatment with either irradiation or camptothecin. This identifies proteins involved in the HR response to different types of lesions. In addition, a GFP-reporter-based HR assay has been used to identify proteins involved in HR repair of a site-specific double-strand break. With these experiments we hope to increase our understanding of the complex network of homologous recombinational repair as well as find potential targets for anti-cancer treatments., The canonical Wnt/β-Catenin pathway controls myriad fundamental cellular processes, such as differentiation and proliferation. Aberrant regulation of this signaling cascade can result in several disease phenotypes and is a hallmark of colorectal cancer and hepatocellular carcinoma. Genetic evidence links Wnt/β-Catenin signaling to the control of bone density. The identification of new components of this pathway may lead to the development of novel therapies targeting a variety of cancers and osteoporosis. Accordingly, we have conducted genome scale RNAi screens in multiple cell contexts to discover new pathway regulators. We developed a screening process that included steps for initial hit identification, mitigation of off target effects, elimination of cell line-specific effects, and measurement of Wnt/β-Catenin signature regulation. We further validated a number of these new pathway mediators in vitro for physical association with canonical pathway members and in vivo by use of zebrafish models. These studies have characterized AGGF1, BTK, and DHFR as new modulators or the Wnt/β-Catenin pathway., SiRNA molecules have a high potential for therapeutic applications. Here we present a mechanism of cell-specific, peptide-blocked siRNA. SiRNA is bound to short peptides preventing RISC formation. Peptides contain target sequence of peptidases, exclusively active in target cells. After intracellular delivery, only in target cells, peptidases cleave peptides leading to siRNA activation. Used peptide sequence is the target sequence for caspase-4, expressed in Jeg-3 choriocarcinoma and MCF-7 mammalian cancer cells, but not in human embryonic kidney (HEK) cells. We aimed to silence Signal Transducer of Activation (STAT3) expression by such modified siRNA specifically in Jeg-3 as well as MCF-7 in contrast to HEK cells. Western blot was performed to detect STAT3 protein. Furthermore, proliferation of STAT3 silenced cells was analysed. The peptide was bound to the siRNA antisense strand via amino-C6-linker based on Fmoc chemistry. Correct binding was analysed by PAGE and Maldi-MS. In Jeg-3 and MCF-7 modified siRNA became activated and reduced STAT3 expression in contrast to HEK cells lacking caspase-4. Moreover, proliferation was significantly reduced in STAT3 silenced cells. In conclusion, STAT3, which is responsible for increased proliferation and invasive properties of various cancer cells, can be cell-specifically silenced using the presented novel technology. Preliminary experiments indicate that the presented mechanism of peptide-inhibited; peptidase-activated siRNA can be transferred to a variety of cell specific active peptidases and related disease models., Background: RNA interference (RNAi), the degradation of cognate mRNA by small interfering RNA (siRNA), has emerged as a promising therapeutic entity for viral infections, including hepatitis C virus (HCV) HCV. In plants and invertebrates, RNAi-mediated protection can spread to neighboring cells; however, such a phenomenon has not been described in mammalian cells. In this study, we investigated whether endogenous expressed liver-specific microRNA and vector-delivered siRNA can transfer between cells and whether this exchange could extend the therapeutic effect of RNAi against HCV infection. Methods: Human hepatoma cell lines Huh7 and HepG2, Huh7-ET HCV replicon cells, and renal epithelial line 293T were co-cultured with conditioned medium or cells stably transduced with integrating lentiviral vectors expressing green fluorescent protein (GFP) and small hairpin RNAs targeting the HCV NS5b (LV-shNS5b), CD81 (LV-shCD81) or non-targeted control (LV-shCon). Liver-specific microRNA, miR-122, was quantified by real-time RT-PCR. Results: MiR-122 is not only highly expressed in Huh7 cells but also detectable in Huh7-CM, suggesting release of miR-122 by the cells. Upon incubation of HepG2 or 293T cells, which are 200 and 50,000-fold lower in miR-122 expression, with Huh7-CM the miR-122 level in these cells was increased by 4-20 fold, indicating uptake of miR-122 from the medium. To further investigate whether small interfering RNA delivered by vectors can be transferred between cells, Huh7-ET was co-cultured with stably transfected Huh7 cells expressing shNS5b or shCon. A significant reduction of viral replication was observed at 1:1 ratio of shNS5b cells (52±12% p, Borane (–BH3) chemistry offers some unique chemical characteristics that make these compounds promising for enhancing the potential of three anticancer strategies; (a) RNA interference (siRNA) (b) the selection of tumor specific aptamers and (c) Boron Neutron Capture Therapy, a highly selective type of radiation therapy. Borane oligonucleotides are nuclease resistant and have increased lipophilicity compared to natural oligonucleotides, yet the modified borane nucleotide triphosphates (NTPαBs) still are efficiently recognized and utilized by RNA polymerase enzymes which enable the enzymatic synthesis of RNA (siRNA and aptamers). The novel properties of boranophosphate RNA molecules could lead to an increase in affinity and specificity of the siRNA and aptamers, as well impart stability of the nucleic acids to cellular nucleases. We hypothesize that borane-RNA molecules will interact a new diverse array of ligand sites in proteins (RISC siRNA carriers or ErbB2 therapeutic target) because of the distinct hydrophobicity, shape, and polarity properties imparted by the phosphorus-boron (P-B) chemical bond compared to the natural phosphorus-oxygen (P-O) bond. (a) A major cause of chemotherapeutic treatment failure against human cancers is the aberrant regulation of genes such as MDR1 in cancer cells. Controlling the expression of cancer genes with antisense technology is a possible cancer therapy. MDR1 codes for a p-glycoprotein (Pgp) that is overexpressed in multidrug resistant cancer cells. Specifically, using modified Small interfering RNAs (siRNAs) that target and degrade the p-glycoprotein mRNA produced by the MDR1 gene can be used to correct the overexpression of p-glycoprotein. (b) The selection of boranophosphate modified RNA aptamers by the SELEX (Systematic Evolution of Ligands by EXponential enrichment) against ErbB2. It is likely that targeting a more specific cancer membrane target such as the ErbB2 receptor with a borane RNA aptamer may also be an effective two-prong strategy in breast cancer therapy. Like the antibody protein, Herceptin, an aptamer may assume a distinct shape and block the receptor. (c) Further, borane aptamers can be used as specific carriers of 10B in Boron Neutron Capture Therapy (BNCT). BNCT specifically destroys tumor cells near boron molecules. The selection of α-P-borano-modified RNA aptamers against receptors highly over-expressed in breast cancer should provide the opportunity of testing the efficacy of a target specific method for delivering boron to the cancer cells. Such boron molecules could be potent and unique anti-tumor surrogates for antibodies because of their ease in selection, smaller size, nuclease resistance, susceptibility to BNCT, and versatility in terms of adding chemical modifications to increase potency., The RNA silencing pathway is engaged during the cellular innate immune response to double-stranded RNA. Particularly in plants, this serves as an anti-viral defense mechanism and results in the degradation of homologous viral RNA. Several viruses have evolved mechanisms to undermine the RNA silencing pathway. Tombusviruses, such as the Carnation Italian Ringspot virus (CIRV), express a 19 kDa protein (p19) which acts as a suppressor of the RNA-silencing pathway. As a dimer, p19 binds double stranded small RNAs in a size-selective and relatively sequence-independent manner, thereby preventing their incorporation into RISC. The p19 protein binds 21 nucleotide double-stranded small RNAs with nanomolar affinity. These unique selective binding features allow p19 to be used as a molecular ruler that can be used to detect small RNAs. We have further increased the potential of the p19 protein through engineering several recombinant p19 proteins which allow us to detect protein-RNA interactions in solution. By constructing linked versions of the CIRV-p19 dimer we have improved the stability and binding affinity of the p19 dimer while still maintaining its ability to discriminate RNA according to length. A recombinant p19-CFP fusion protein allows us to use fluorescence-based techniques to detect and quantify protein-RNA interactions based on Förster Resonance Energy Transfer (FRET). In this method, when the linked recombinant p19-CFP dimer binds Cy3-labelled dsRNA, intermolecular FRET occurs between the CFP donor and the Cy3 acceptor giving a quantifiable signal. In order to extend this methodology to in vivo detection of small RNA, we have developed an intramolecular FRET probe which incorporates YFP, another GFP analog, into the 2x-p19-CFP recombinant protein. Progress towards using this ‘chameleon’ recombinant protein, CFP-2x-p19-YFP, as a FRET-based probe for live-cell imaging of small RNA production and localization will be presented., RNA interference (RNAi) is a highly evolutionary conserved RNA-dependent gene silencing process initiated by short double-stranded RNA molecules. These include micro RNA and short interfering RNA (siRNA), the latter causing sequence-specific degradation of homologous mRNA sequences. Soon after the groundbreaking discovery of siRNA-mediated regulation of gene expression, the RNA induced silencing complex (RISC) was found to be the effector complex of RNAi with argonaute proteins as the catalytic component. Here, HeLa cell cytoplasmic S100 extract was established as a minimal mechanistic in vitro model to study this process in more detail. Cleavage reactions of a radiolabeled in vitro synthesized target RNA by double-stranded siRNA were performed and cleavage products as well as turnover rates were measured as a function of Mg2+ concentration, nucleotide sequence and time. Despite a lot of advances in the understanding of RISC activity, different composition sizes and associated factors of this complex have been reported in the literature. The above described HeLa cell extract was used to isolate truly active RISCs by purification of complexes via the target mRNA component such that involved protein and nucleic acid components can be further characterized. In summary, HeLa cell extract was shown to be a valuable tool for kinetic and mechanistic studies of siRNA-mediated RNA interference., MicroRNAs (miRNAs) are small endogenous RNAs, which typically imperfectly base-pair with 3'UTRs and mediate translational repression and mRNA degradation. Dicer, an RNase III generating small RNAs in the miRNA and RNAi pathways, is essential for meiotic maturation of mouse oocytes. We found that 3'UTRs of transcripts up-regulated in Dicer1/oocytes are not enriched in miRNA binding sites implicating a weak impact of miRNAs on the maternal transcriptome. Therefore, we tested the ability of endogenous miRNAs to mediate RNA-like cleavage or translational repression of reporter mRNAs. In contrast to somatic cells, endogenous miRNAs in fully-grown GV oocytes poorly repressed reporter translation while their RNAi-like activity was much less affected. In addition, reporter mRNA carrying let-7-binding sites failed to localize to P-bodies, cytoplasmic foci containing proteins involved in RNA repression and degradation where miRNA-repressed transcripts typically localize. In fact, P-bodies are not found in fully-grown mouse oocytes but disappear early during oocyte growth. In fully-grown oocytes, several P-body components and other RNA binding proteins including DDX6, CPEB, MSY2, and the exon junction complex form transient, subcortical RNA-containing aggregates, which disperse during oocyte maturation, consistent with recruitment of maternal mRNAs that occurs during this time. In contrast, levels of P-body component DCP1A are low during oocyte growth and DCP1A does not co-localize with DDX6 in the sub-cortical aggregates. The amount of DCP1A markedly increases during meiosis, which correlates with the first wave of destabilization of maternal mRNAs. Our data suggest that normal miRNA function is down-regulated during oocyte development and this idea is further supported by normal meiotic maturation of oocytes lacking Dgcr8, which is required for miRNA but not RNAi pathway. We propose that suppression of miRNA function during oocyte growth is an early event in reprogramming gene expression during the transition of a differentiated oocyte into pluripotent blastomeres of the embryo. Furthermore, the cortex of growing oocytes serves an mRNA storage compartment, which contains a novel type of RNA granule related to P-bodies., Being a member of the Picornavirus family, Coxsackievirus B3 (CVB-3) is one of the major pathogens that may lead to dilated cardiomyopathy. It is a small, non-enveloped RNA virus. Because of the plus-stranded RNA genome it is qualified for the application of RNA interference. We developed highly efficient small interfering RNAs (siRNAs) against the viral 3D RNA dependent RNA polymerase (3Dpol). Hence we were able to inhibit CVB-3 proliferation up to 90% in a plaque reduction assay. Recent experiments revealed the potential to use siRNAs modified with locked nucleic acids (LNA) or unlocked nucleic acids (UNA) to inhibit virus replication. For in vivo applications, vector delivery of shRNA expression cassettes was found to be a suitable approach to treat mice with virus-induced myocarditis. An AAV-vector expressing two shRNAs against CVB-3 was found to improve the heart parameters in a mouse model for an enterovirus myocarditis. Finally, a synergistic and potent antiviral effect in persistently infected human myocardial fibroblasts was obtained, when the siRNA was combined with a soluble variant of the coxsackievirus-adenovirus receptor, which acts as a virus trap. Taken together, these studies demonstrate that RNA interference is a powerful tool to inhibit cardiotropic viruses., Our studies have focused on the application of imaging-capable nanoparticulate agents for the delivery of siRNA to target tissues. One example includes magnetic nanoparticles (MN), which have traditionally been utilized as contrast agents for magnetic resonance imaging. MN typically consist of a dextran-coated superparamagnetic iron oxide core (for magnetic resonance imaging), labeled with Cy5.5 dye (for near-infrared in vivo optical imaging), and conjugated to synthetic siRNA molecules targeting model or therapeutic genes. We have explored the potential of these nanoparticles as delivery modules for small interfering RNA to tumors and pancreatic islets. Furthermore, we have investigated the feasibility of combining the imaging and delivery capabilities of these nanoparticles for the tracking of siRNA bioavailability. The versatile functionalization potential of MN has allowed us to control properties of the agents, such as uptake mechanism and target organ distribution. The tumoral accumulation of MN-siRNA results in a remarkable level of target-gene down-regulation. Repeated treatment with MN-siBIRC5, targeting the tumor-specific anti-apoptotic gene, birc5, leads to the induction of apoptosis in the tumors and an overall reduction in tumor growth rate. Another application of MN-siRNA extends from the fact that these nanoparticles are also taken up by pancreatic islets following in vitro incubation. This uptake can be visualized by magnetic resonance and near-infrared fluorescence optical imaging and results in down-regulation of target genes. This approach has relevance in the context of pancreatic islet transplantation, which is a promising new treatment of type 1 diabetes. A potential application of this method would involve the selective knock-down of genes implicated in islet graft dysfunction, such as pro-apoptotic genes and genes involved in immuno-recognition. More recent studies that will be discussed briefly have focused on the delivery of knock-down LNA probes targeting specific miRNA pathways., Development of siRNA therapeutics has already demonstrated clinical benefits in more than a dozen human trials. Using siRNA cocktail to silence multiple disease genes is truly realizing the advantage of small interfering RNA (siRNA)-based drugs. We have developed a set of siRNA cocktails using our proprietary algorithm and “Tri-Blocker™” platform, as the active pharmaceutical ingredient (API). Those siRNA cocktails were further tested and validated in the disease relevant animal models using a series of polymer- and liposome-based nanoparticles. The therapeutic programs in the late preclinical development stage, STP705 for improving skin scarless wound healing, STP702 for treatment of influenza H5N1/H1N1 infections and STP601 for treatment of ocular neovascularization diseases, are all based on the local and topical siRNA delivery using the self-assembled first generation nanoparticles. We further developed the second generation nanoparticles with peptide ligands and monoclonal antibodies for targeted cancer siRNA therapeutics which were tested in mouse xenograft tumor models. In addition, we are currently developing the third generation siRNA delivery vehicles, using Infrared-activated silica-coated upconversion nanoparticle (SC-UPNP) and oral-delivered nano-microspheres (OD-NMS). When the siRNA cocktail is applied with other drug modalities, such as monoclonal antibody, the therapeutic benefit was even further improved., A UsiRNA directed against mRNA for the human survivin gene was formulated into liposomes formed with a novel Di- Alkylated Amino Acid (DiLA2) resulting in well encapsulated (>85%) small (100-130 nm) particles. UsiRNAs are novel siRNA constructs which incorporate Unlocked Nucleobase Analogs (UNAs) within the oligonucleotide sequence. The survivin UsiRNA has been demonstrated to be highly potent, with an in vitro IC50 of 10 to 30 pM, which leads to caspase induction and apoptosis in cancer cells. A murine Hep3B-based orthotopic liver cancer model was used to assess the in vivo efficacy of the survivin UsiRNA DiLA2 liposomes with systemic administration. Dosing at 2 mg/kg (q3d x 6 doses; i.v.) resulted in approximately a 50% knockdown of survivin mRNA and 60% decrease in tumor weight. This result compared favorably with Avastin™ (bevacizumab)-treated mice which served as a positive control. A similar level of survivin mRNA knockdown was noted in a xenograft model of subcutaneously implanted liver tumors and systemic administration. In an orthotopic bladder cancer model, survivin UsiRNA DiLA2 liposomes were delivered topically (intravesical dosing) at up to 1.0 mg/kg (q2d x 4 doses). Greater than 90% inhibition of the survivin mRNA was observed, and there was a dose-dependent decrease in bioluminescence of up to approximately 90% in UsiRNA-treated mice which indicates reduced tumor growth. 5'-RACE analysis confirmed an RNAi-mediated mechanism of action for mRNA inhibition in each tumor model. Data for knockdown of multiple targets in tissues of normal mice and for a liver target in non-human primates has also been demonstrated with systemic administration of DiLA2-based liposomes. Taken together these data demonstrate that DiLA2 liposomes are an effective systemic and local delivery system for UsiRNAs, in both cancer and non-cancer indications., MicroRNAs are a recently discovered class of naturally occurring short non-coding RNA molecules that regulate eukaryotic gene expression. There is emerging evidence to suggest that microRNAs are involved in the pathogenesis of many cancers including B cell lymphoma. There is however little data on the role of microRNAs in T cell lymphomas. Therefore we employed microarray analysis to investigate a possible role for microRNAs in the biology of cutaneous T-cell lymphomas; Sezary syndrome (SzS, n=21), mycosis fungoides (MF, n=26) and cutaneous anaplastic large cell lymphoma (cALCL, n=15) and relevant controls (CD4+ cells from healthy subjects (n=6), and skin biopsies from patients with inflammatory disorders (n=17). Using unsupervised cluster analysis we observed that the T-cell lymphomas have a distinct miRNA profile from their counterpart controls and have distinct profiles between diagnosis. We identified a number of miRNAs in common between the T-cell lymphomas and well as those specific for diagnosis. In summary, we have identified a number of Sz-associated microRNAs that may play a role in the pathogenesis of these diseases., The sequencing of the human genome revealed that 55% of its nucleotide sequence is composed of repetitive elements and that a large fraction of the "non-functional" DNA originated from mobile elements (1). They were considered until recently as “selfish” or "Junk DNA" (2). For example, Alu elements comprise about 10% of the nucleotides of the human genome (1), with over one million inserted copies. There is evidence showing that the presence of repetitive elements had a great influence on the human genome and it has been shown that Alu repeats are mediators of recurrent chromosomal aberrations in tumors as in the case of the chromosomal translocation of intronic Alu elements (3). Recently, it was reported that some mammalian miRNAs are derived from genomic repeats and some of them show perfect complementarity with the MIR/LINE-2 class of repetitive elements, which are present within a large number of human mRNAs and EST transcripts (4). It was hypothesized that Alu elements within the 3'-UTRs are targeted specifically by certain miRNAs (5) and it has been proposed that a dual relationship exists between miRNAs and their Alu targets that may have evolved in the same time window. One hypothesis for this dual relationship is that these miRNAs could protect against excessively high rates of duplicative transposition, which would destroy the genome (6). Here we present the computational prediction of human miRNA/transposon interactions. We performed the analysis by using a combined approach based on thermodynamics and empirical constraints and found significant matches between miRNAs and human repetitive elements such as LINE, SINE, DNA transposon and ERV1. For example, over 30 miRNAs potentially target the L180_5 element (LINE1 family; 1883 nucleotides) and over 20 miRNAs are predicted to target the RICKSHA element (Non-autonomous DNA transposon fossil; 2030 nucleotides). We considered perfect seed complementarity only (7-mers or higher), with no G:U wobbles. The obtained results suggest a potential role of miRNAs in the regulation of repetitive elements and in particular transposons.
- Published
- 2010
21. Prediction of human population responses to toxic compounds by a collaborative competition
- Author
-
Eduati, F, Mangravite, L, Wang, T, Tang, Hongxiang, Bare, J, Huang, R, Norman, T, Kellen, M, Menden, M, Yang, J, Zhan, X, Zhong, R, Xiao, G, Xia, M, Abdo, N, Kosyk, O, Friend, S, Stolovitzky, G, Dearry, A, Tice, R, Simeonov, S, Rusyn, I, Wright, F, Xie, Y, Alaimo, S, Amadoz, A, Ammad-ud-din, M, Chloé-Azencott, A, Bacardit, J, Barron, P, Bernard, E, Beyer, A, Bin, S, van Bömmel, A, Borgwardt, K, Brys, A, Caffrey, B, Chang, J, Christodoulou, E, Clément-Ziza, M, Cohen, T, Cowherd, M, Demeyer, S, Dopazo, J, Elhard, J, Falcao, A, Ferro, A, Friedenberg, D, Giugno, R, Gong, Y, Gorospe, J, Granville, C, Grimm, D, Heinig, M, Hernansaiz, R, Hochreiter, S, Liang-Huang, C, Huska, M, Jiao, Y, Klambauer, G, Kuhn, M, Kursa, M, Kutum, R, Lazzarini, N, Lee, I, Leung, M, K W, Lim, Liu, C, F L, López, Mammana, A, Mayr, A, Michoel, T, Mongiovì, M, Moore, J, Narasimhan, R, Opiyo, S, Pandey, G, Peabody, A, Perner, J, Pulvirenti, A, Rawlik, K, Reinhardt, S, Riffle, C, Ruderfer, D, Sander, A, Savage, R, Scornet, E, Sebastian-Leon, P, Sharan, R, Simon-Gabriel, C, Stoven, V, Sun, J, Tang, H, Teixeira, A, Tenesa, A, Jean-Vert, P, Vingron, M, Walter, T, Whalen, S, Wiśniewska, Z, Wu, Y, Xu, H, Zhang, S, Zhao, J, W Zheng J, Ziwei, D, Simeonov, A, Raymond, R Tice, Saez-Rodriguez, J., NIEHS-NCATS-UNC DREAM Toxicogenetics Collaboration, Institut de Recherche pour le Développement (IRD), National Center for Advancing Translational Sciences (NCATS), National Institutes of Health [Bethesda] (NIH), Data Storage Institute - A*STAR, Capital Normal University [Beijing], Southwest University of China, sans affiliation, Shanghai Ocean University, Centre de Bioinformatique (CBIO), MINES ParisTech - École nationale supérieure des mines de Paris-PSL Research University (PSL), Cancer et génôme: Bioinformatique, biostatistiques et épidémiologie d'un système complexe, MINES ParisTech - École nationale supérieure des mines de Paris-Institut Curie-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut National de l'Information Géographique et Forestière [IGN] (IGN), Systèmes Productifs, Logistique, Organisation des Transports et Travail (IFSTTAR/AME/SPLOTT), Communauté Université Paris-Est-Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR), Biotechnology Center [Dresden] (BIOTEC), Technische Universität Dresden (TUD), Laboratoire National de Métrologie et d'Essais [Trappes] (LNE ), Centre for Biomedical Network Research on Rare Diseases (CIBERER), Department of Computational Genomics, Centro de Investigación Príncipe Felipe (CIPF), Functional Genomics Node (INB), CIPF, Computational Intelligence Research Group (CA3), Centre of Technology and Systems (CTS), Faculty of Sciences and Technology (FCT NOVA), Universidade Nova de Lisboa (NOVA)-Universidade Nova de Lisboa (NOVA)-Faculty of Sciences and Technology (FCT NOVA), Universidade Nova de Lisboa (NOVA)-Universidade Nova de Lisboa (NOVA)-Faculdade de Ciências e Tecnologia (FCT NOVA), Universidade Nova de Lisboa (NOVA), ACEEE, The Institute of Doctors Engineers and Scientists - IDES, Laboratoire Traitement et Communication de l'Information (LTCI), Télécom ParisTech-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Laboratory of Information, Network and Communication Sciences (LINCS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut Mines-Télécom [Paris] (IMT), Institute of Computational Biology, Helmholtz-Zentrum München (HZM), Stony Brook University [SUNY] (SBU), State University of New York (SUNY), University of Pensylvania, Institute for Infocomm Research - I²R [Singapore], Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1)-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées, Department of Mechanical and Aerospace Engineering [Davis], University of California [Davis] (UC Davis), University of California-University of California, Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), Ludwig-Maximilians-Universität München (LMU), Laboratoire Architecture, Ville, Urbanisme, Environnement (LAVUE), École nationale supérieure d'architecture de Paris-La Villette (ENSAPLV)-École nationale supérieure d'architecture de Paris Val-de-Seine (ENSA PVDS)-Université Paris 8 Vincennes-Saint-Denis (UP8)-Ministère de la Culture (MC)-Université Paris Nanterre (UPN)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Statistique Théorique et Appliquée (LSTA), Université Pierre et Marie Curie - Paris 6 (UPMC), Agricultural Technological Extensive Station of Luntai County in Xinjiang, Medstar Research Institute, Huawei Technologies [Shanghaï], School of Economics and Business Administration (School of Economics and Business Administration), Beijing Normal University, National Center for Mathematics and Interdisciplinary Sciences [Beijing] (NCMIS), Academy of Mathematics and Systems Science (AMSS), Chinese Academy of Sciences [Beijing] (CAS)-Chinese Academy of Sciences [Beijing] (CAS), Division of Biostatistics, Helmholtz-Institute for Biomedical Engineering [RWTH Aachen University], European Bioinformatics Institute [Hinxton] (EMBL-EBI), EMBL Heidelberg, Agricultural Information Institute (AII), Chinese Academy of Agricultural Sciences (CAAS), Department of Computer Science - Lafayette College, Lafayette College [Easton], MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Cancer et génome: Bioinformatique, biostatistiques et épidémiologie d'un système complexe, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut Curie [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Communauté Université Paris-Est, Technische Universität Dresden = Dresden University of Technology (TU Dresden), Faculdade de Ciências e Tecnologia = School of Science & Technology (FCT NOVA), Universidade Nova de Lisboa = NOVA University Lisbon (NOVA)-Universidade Nova de Lisboa = NOVA University Lisbon (NOVA)-Faculdade de Ciências e Tecnologia = School of Science & Technology (FCT NOVA), Universidade Nova de Lisboa = NOVA University Lisbon (NOVA)-Universidade Nova de Lisboa = NOVA University Lisbon (NOVA), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Paris 8 Vincennes-Saint-Denis (UP8)-École nationale supérieure d'architecture de Paris-La Villette (ENSAPLV)-Université Paris Nanterre (UPN)-École nationale supérieure d'architecture de Paris Val-de-Seine (ENSA PVDS)-Centre National de la Recherche Scientifique (CNRS)-Ministère de la Culture (MC), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), Beijing Normal University (BNU), Sans affiliation, Mines Paris - PSL (École nationale supérieure des mines de Paris), Helmholtz Zentrum München = German Research Center for Environmental Health, Université Fédérale Toulouse Midi-Pyrénées-Toulouse Mind & Brain Institut (TMBI), Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse III - Paul Sabatier (UT3), Department of Mechanical and Aerospace Engineering [Univ California Davis] (MAE - UC Davis), University of California (UC)-University of California (UC), Université Paris 8 Vincennes-Saint-Denis (UP8)-École nationale supérieure d'architecture de Paris-La Villette (ENSAPLV), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Université Paris Nanterre (UPN)-École nationale supérieure d'architecture de Paris Val-de-Seine (ENSA PVDS)-Centre National de la Recherche Scientifique (CNRS)-Ministère de la Culture (MC), Centre National de la Recherche Scientifique (CNRS)-Université Paris Nanterre (UPN)-Ministère de la Culture (MC)-Université Paris 8 Vincennes-Saint-Denis (UP8)-École nationale supérieure d'architecture de Paris Val-de-Seine (ENSA PVDS)-École nationale supérieure d'architecture de Paris-La Villette (ENSAPLV), Institut Mines-Télécom [Paris] (IMT)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Pierre et Marie Curie - Paris 6 (UPMC), Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Toulouse Mind & Brain Institut (TMBI), Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT), and MINES ParisTech - École nationale supérieure des mines de Paris-Institut Curie [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM)
- Subjects
Bioinformatics ,MESH: Risk Assessment ,Applied Microbiology and Biotechnology ,MESH: Dose-Response Relationship, Drug ,Genotype ,MESH: Incidence ,MESH: Models, Genetic ,Cytotoxicity ,ComputingMilieux_MISCELLANEOUS ,media_common ,education.field_of_study ,High-throughput screening ,MESH: Genetic Predisposition to Disease ,drug ,[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM] ,[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] ,Trait ,Molecular Medicine ,Health occupations ,Predictive medicine ,Risk factors ,Risk assessment ,Biotechnology ,data mining ,expression ,MESH: High-Throughput Screening Assays ,media_common.quotation_subject ,Population ,Biomedical Engineering ,MESH: Genetics, Population ,Bioengineering ,Computational biology ,Biology ,Competition (biology) ,Article ,MESH: Computer Simulation ,ddc:570 ,1000 Genomes Project ,education ,MESH: Toxicity Tests ,ta113 ,MESH: Humans ,[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV] ,MESH: Hazardous Substances ,MESH: Lymphocytes ,[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM] ,RA - Abstract
The ability to computationally predict the effects of toxic compounds on humans could help address the deficiencies of current chemical safety testing. Here, we report the results from a community-based DREAM challenge to predict toxicities of environmental compounds with potential adverse health effects for human populations. We measured the cytotoxicity of 156 compounds in 884 lymphoblastoid cell lines for which genotype and transcriptional data are available as part of the Tox21 1000 Genomes Project. The challenge participants developed algorithms to predict interindividual variability of toxic response from genomic profiles and population-level cytotoxicity data from structural attributes of the compounds. 179 submitted predictions were evaluated against an experimental data set to which participants were blinded. Individual cytotoxicity predictions were better than random, with modest correlations (Pearson's r < 0.28), consistent with complex trait genomic prediction. In contrast, predictions of population-level response to different compounds were higher (r < 0.66). The results highlight the possibility of predicting health risks associated with unknown compounds, although risk estimation accuracy remains suboptimal., Nature Biotechnology, 33 (9), ISSN:1546-1696, ISSN:1087-0156
- Published
- 2015
22. MICRORNA EXPRESSION PROFILES IN HIGH-GRADE PROSTATIC INTRAEPITHELIAL NEOPLASIA (HGPIN): RE-DEFINING THE PROSTATE CANCER PRECURSOR LESION ACCORDING TO THE GENETIC SIGNATURE
- Author
-
Campodonico, F, Viaggi, S, Coviello, D, Ferro, Alfredo, Lagana, A, Pulvirenti, Alfredo, Giugno, R, Maric, I, Bandelloni, R, and Maffezzini, M.
- Published
- 2015
23. miRandola: towards a comprehensive resource for non-invasive biomarkers
- Author
-
Russo F., Pellegrini M., Di Bella S., Nigita G., Laganà A., Giugno R., and Ferro A.
- Subjects
Bioinformatics ,Computational Biology ,non-coding RNAs - Abstract
Non-coding RNAs (ncRNAs) such as for example microRNAs (miRNAs) are frequently dysregulated in cancer and have shown great potential as tissue-based markers for cancer classification and prognostication. ncRNAs are present in membrane-bound vesicles, such as exosomes, in extracellular human body fluids. Circulating miRNAs are also present in human plasma and serum cofractionate with the Argonaute2 (Ago2) protein and the High-density lipoprotein (HDL). Since miRNAs and the other ncRNAs circulate in the bloodstream in a highly stable, extracellular forms, they may be used as blood-based biomarkers for cancer and other diseases. A knowledge base of non-invasive biomarkers is a fundamental tool for biomedical research. Here, we present an updated version of the miRandola database, a comprehensive manually curated collection and classification of extracellular circulating miRNAs. miRandola contains 2366 entries, with 599 unique mature miRNAs and 23 types of samples, extracted from 139 papers. miRNAs are classified into four categories, based on their extracellular form: miRNA-Ago2 (173 entries), miRNA-exosome (862 entries), miRNA-HDL (20 entries) and miRNA-circulating (1311 entries). Moreover, the database contains several tools, allowing users to infer the potential biological functions of circulating miRNAs, their connections with phenotypes and the drug effects on cellular and extracellular miRNAs. The future direction of the database is to be a resource for all the potential non-invasive biomarkers such as lncRNAs, cell-free DNA and circulating tumor cells (CTCs).
- Published
- 2014
24. OCDB: the first overall database collecting genes, miRNA and drugs for Obsessive-Compulsive Disorder
- Author
-
Privitera, A, Russo, F, Ferro, A, Pulvirenti, Alfredo, and Giugno, R.
- Published
- 2014
25. OCDB: the first overall database collecting genes, miRNAs and drugs for Obsessive-Compulsive Disorder
- Author
-
Russo F., Privitera A., Distefano R., Ferro A., and Giugno R.
- Subjects
Bioinformatics ,mental disorders ,Computational Biology ,non-coding RNAs - Abstract
Motivation: Obsessive-compulsive disorder (OCD) is a psychiatric condition characterized by intrusive and unwilling thoughts (obsessions) which give rise to anxiety. The patients feel forced to perform a behavior (compulsions) related to the obsession. They suffer very much since they struggle to resist to their compulsions while feel to be required to perform them. The World Health Organization ranks OCD as 1 of 10 most disabling medical conditions worldwide(1). The OCD is a pathology, among all anxiety disorders, for which hereditary component has been demonstrated. Consequently online resources collecting and integrating scientific discoveries and genetic evidences about OCD would be very helpful. Methods: Several studies supporting the existence of genetic susceptibility factors have been reported (2). The most studied genes are SLC1A1, SLC6A4, SLC6A2, HTR2A, HTR2C and,more recently, NTRK3 and SLITRK1. Very few studies reported the role of miRNAs downregulating disease candidate genes and drug targets in anxiety disorders and OCD(3)(4) . Here we propose a manually curated database, OCDB, which will be soon available on line showing relationship between OCD-associated genes, OCD-miRNAs and OCD-drugs with particular emphasis on drug targets and their polymorphisms. We maintain the therapeutical and side effects of the drugs, miRNA and drug targets polymorphisms, miRNA binding and information about the candidate disease genes (location, alias, their use as putative biomarkers, and so on). Relevant pathologies (OCD or associated disease such as social phobia and schizophrenia) and experimental conditions (i.e., number of samples, used softwares, and so on) will be also reported. The database has been created using MySQL, Apache and PHP. It contains relations among 45 genes, 24 miRNAs and 7 drugs. Several tools for advanced search and browsing have been integrated. An export function to download search results in various formats (CSV, XLS, TXT) will be available. Results: Our database is an essential resource to improve knowledge on this pathology and to support genome-wide analysis studies. For instance using our database the gene HTR2C results to be simultaneously a target of the Clomipramina drug and of miR-22(4), and contain polymorphisms. Such information was separately reported in 5 publications. Finally, genetic scientific results concerning OCD related to autism and other anxiety disorder are also reported. For all these reasons OCDB may represent an important knowledge base for researchers working on anxiety disorders.
- Published
- 2014
26. TuNDRA: a Tripartite Network based Drug Repositioning Algorithm
- Author
-
Alaimo, S, Pulvirenti, Alfredo, Giugno, R, and Ferro, A.
- Published
- 2014
27. miMETA: an online meta-analysis tool for the miRandola database
- Author
-
Di Bella, S, Russo, F, Nigita, G, Pulvirenti, Alfredo, Giugno, R, and Ferro, A.
- Subjects
Bioinformatics ,Computational Biology ,non-coding RNAs - Abstract
MicroRNAs (miRNAs) are small non-coding RNAs that act as post-trancriptional regulators of protein coding genes. A lot of miRNAs have been found to correlate well with many human cancers and other diseases. Recently, miRNAs have been found in human body fluids such as plasma, serum and urine and they are considered potential non-invasive biomarkers. For this reason we recently developed miRandola, the first extracellular circulating miRNAs database. To improve the usability of the database as a key source to inform clinical practice, in the present study we introduce miMETA, a meta-analysis tool for miRandola.miMETA incorporates two R packages, Mada ('Meta-Analysis of Diagnostic Accuracy') and Metafor ('Meta-Analysis Package for R'). Mada provides functions for diagnostic meta-analysis, Metafor provides a comprehensive collection of functions for conducting meta-analysis in R. Standard methods for diagnostic accuracy meta-analysis have been applied: sensitivity, specificity, diagnostic odds ratio (DOR), log odds ratio, and the area under the curve (AUC). The AUC represents an analytical performance summary displaying sensitivity-specificity trade off. The methodological quality of each study can be assessed by QUADAS (QUality Assessment for studies of Diagnostic Accuracy), a 14-questions evidence-based quality assessment tool used for diagnostic accuracy studies evaluation. When a criterion is fulfilled, unclear or not achieved a score of 1, 0 or -1 is assigned respectively. Only studies with higher QUADAS score (>= 10) are accepted. Users may select a disease related to extracellular miRNAs annotated in the miRandola database. Next they may decide to apply the QUADAS test. Finally information on the number of patients with True Positive (TP), False Positive (FP), True Negative (TN), False Negative (FN) tests and related miRNAs, for each study may be uploaded.Availability: http://atlas.dmi.unict.it/mirandola/mimeta.php
- Published
- 2014
28. GSK-3β-induced Tau pathology drives hippocampal neuronal cell death in Huntington’s disease: involvement of astrocyte–neuron interactions
- Author
-
L'Episcopo, F, primary, Drouin-Ouellet, J, additional, Tirolo, C, additional, Pulvirenti, A, additional, Giugno, R, additional, Testa, N, additional, Caniglia, S, additional, Serapide, M F, additional, Cisbani, G, additional, Barker, R A, additional, Cicchetti, F, additional, and Marchetti, B, additional
- Published
- 2016
- Full Text
- View/download PDF
29. Kinetic Monte Carlo simulations of vacancy evolution in graphene
- Author
-
Parisi, L., primary, Di Giugno, R., additional, Deretzis, I., additional, Angilella, G.G.N., additional, and La Magna, A., additional
- Published
- 2016
- Full Text
- View/download PDF
30. 51 - Molecular characterization of msc-derived extracellular vesicles and correlation with their immunomodulatory potential
- Author
-
Adamo, A., Brandi, J., Carusone, R., Caligola, S., Cecconi, D., Giugno, R., Manfredi, M., Robotti, E., Marengo, E., Dal Collo, G., Bazzoni, R., Arigoni, M., Calogero, R., Gatti, A., Takam Kamga, P., Mercuri, A., and Krampera, M.
- Published
- 2018
- Full Text
- View/download PDF
31. The miRandola Database: Function and Diagnostic Potential of Extracellular microRNAs
- Author
-
Russo F., Di Bella S., Nigita G., Mecca V., Giugno R., Pulvirenti A., Ferro A., and Lagana' A
- Subjects
miRNA - Abstract
MicroRNAs are small noncoding RNAs that play an important role in the regulation of various biological processes through their interaction with cellular messenger RNAs. They are frequently dysregulated in cancer and have shown great potential as tissue-based markers for cancer classification and prognostication. microRNAs are also present in extracellular human body fluids such as serum, plasma, saliva, and urine. Most of circulating microRNAs are present in human plasma and serum cofractionate with the Argonaute2 (Ago2) protein. However, circulating microRNAs have been also found in membranebound vesicles such as exosomes. Since microRNAs circulate in the bloodstream in a highly stable, extracellular form, they may be used as blood-based biomarkers for cancer and other diseases. A knowledge base of extracellular circulating miRNAs is a fundamental tool for biomedical research. In this work, we present miRandola, a comprehensive manually curated classification of extracellular circulating miRNAs. miRandola is connected to miRo` , the miRNA knowledge base, allowing users to infer the potential biological functions of circulating miRNAs and their connections with phenotypes. The miRandola database contains 2132 entries, with 581 unique mature miRNAs and 21 types of samples. miRNAs are classified into four categories, based on their extracellular form: miRNA-Ago2 (173 entries), miRNA-exosome (856 entries), miRNA-HDL (20 entries) and miRNA-circulating (1083 entries). miRandola is available online at: http://atlas.dmi.unict.it/mirandola/index. html.
- Published
- 2013
32. Study of Renal iron overload by T2* MRI in a large cohort of thalassemia major patients. Grassedonio E, Meloni A, Restaino G, Valeri G, Natale L, G.Giugno R, Lombardi M, Midiri M, Pepe A. Proceedings of ECR 2012
- Author
-
Grassedonio, E, Meloni, A, Restaino, G, Valeri, G, Natale, L, Giugno R, G., Lombardi, M, Midiri, M, and Pepe, A
- Published
- 2012
33. Characterization of the Versatile Ion Source (VIS) and possible application as injector for future projects
- Author
-
Miracoli, R., Celona, L., Castro, Giuseppe, Mascali, D., Gammino, S., Di Giugno, R., Lanaia, D., Serafino, T., and Ciavola, G.
- Published
- 2012
34. Design issues of the proton source for the ESS facility
- Author
-
Celona, L., Neri, L., Gammino, S., Ciavola, G., Mascali, D., Castro, Giuseppe, Allegra, L., Caliri, C., and Di Giugno, R.
- Published
- 2012
35. Comparison between off-resonance and E.B.W. heating regime in a Microwave Discharge Ion Source
- Author
-
Castro, Giuseppe, Mascali, D., Romano, P., Celona, L., Gammino, S., Di Giugno, R., Lanaia, D., Miracoli, R., Serafino, T., and Ciavola, G.
- Published
- 2012
36. Quantitative T2* MRI for renal Iron Overload Assessment in a Cohort of Healthy Subjects: Normal Values and Correlation with Age and Gender
- Author
-
Meloni, A, Positano, V, De Marchi, D, Piraino, B, M E, Lai, P P, Bitti, Filati, G, Commendatore, V, Serra, G, Cardinale, A, Giugno, R, Valeri, G, Lombardi, M, and Pepe, A
- Published
- 2011
37. The neurology of coeliac disease in childhood: what is the evidence? A systematic review and meta-analysis
- Author
-
Lionetti, E., Ruggiero Francavilla, Pavone, P., Pavone, L., Francavilla, T., Pulvirenti, A., Giugno, R., and Ruggieri, M.
- Subjects
Brain Diseases ,Epilepsy ,Cerebellar Ataxia ,Glutens ,Headache ,Brain ,Peripheral Nervous System Diseases ,Vitamin B 12 Deficiency ,Comorbidity ,Vitamin D Deficiency ,Celiac Disease ,Prevalence ,Humans ,Patient Compliance ,Autistic Disorder ,Child ,meta analysis - Abstract
The aim of this article was to review and conduct a meta-analysis of the paediatric literature on the neurology of coeliac disease.We conducted a review of paediatric studies published in English assessing neurological illness in coeliac disease identified through a MEDLINE search (1950-2009). Calculation of computed relative risk, odds ratio, and risk difference was performed using the fixed effect method if applicable.Fifteen studies were analysed (11 772 participants). The meta-analysis showed that (1) the relative risk of epilepsy in individuals with coeliac disease, and of coeliac disease in individuals with epilepsy, compared with the general population, was 2.1 and 1.7, respectively, and the risk difference was close to zero, indicating that it was probably a chance association; and (2) the relative risk of headache in individuals with the disease compared with comparison groups was 3.2. In two studies, cerebellar ataxia was documented in 2.7 to 5.4% of participants; in two further studies, the risk of cerebellar dysfunction was zero. Two studies found an association between coeliac disease and peripheral neuropathy. Brain white matter lesions were recorded in two other studies. An association between autism and coeliac disease is disputed. Interpretation Children with coeliac disease are at risk of developing neurological complications, but the risk is lower than in adulthood. The discrepancy might be due to short disease duration, early elimination of gluten from the diet, stricter adherence to diet, or different susceptibility to immune-mediated disorders.
- Published
- 2010
38. Enhancing Graph Database Indexing by Suffix Tree Structure. In: Pattern Recognition in Bioinformatics
- Author
-
Bonnici, V, Ferro, Alfredo, Giugno, R, Pulvirenti, A, and Shasha, D.
- Published
- 2010
39. The neurology of celiac disease in childhood: what is the evidence? Systematic review and meta-analysis
- Author
-
Lionetti, E., Francavilla, R., Pavone, P., Pavone, L., Francavilla, T., Pulvirenti, Alfredo, Giugno, R, and Ruggieri, Martino
- Published
- 2010
40. Mapping miRNA genes on human fragile sites and translocation breakpoints
- Author
-
Ferro, A, Giugno, R, Laganà, A, Pulvirenti, Alfredo, and Russo, F.
- Subjects
miRNA expression - Published
- 2009
41. miRScape: A Cytoscape Plugin to Annotate Biological Networks with microRNAs
- Author
-
Ferro, A., Giugno, R., Laganà, A., Mongiovì, M., Pigola, G., Pulvirenti, Alfredo, Bader, G., and Shasha, D.
- Subjects
miRNA, Network ,Network ,miRNA - Published
- 2009
42. Prediction of human targets for viral encoded microRNAs by thermodynamics and empirical constraints
- Author
-
Laganà, A, Forte, S, Giugno, R, Pulvirenti, Alfredo, Shasha, D, and Ferro, A.
- Published
- 2009
43. A set-cover-based approach for inexact graph matching
- Author
-
Mongiovi', Misael, DI NATALE, R, Giugno, R, Pulvirenti, Alfredo, Ferro, Alfredo, and Sharan, R.
- Subjects
Network querying - Published
- 2009
44. The Apoptotic Machinery As A Biological Complex System: Analysis of its Omics and Evolution, Identification of Candidate Genes for Fourteen Types of Cancer and Experimental Validation in CML and Neuroblastoma
- Author
-
DI PIETRO, Cinzia Santa, Ragusa, Marco, Barbagallo, Davide, Guglielmino, Mr, Majorana, A., Angelica, R., Statello, L., Tomasello, L., Scalia, M., Pernagallo, S., Valenti, S., Dagostino, V., Triberio, P., Tandurella, I., Palumbo, Giuseppe Alberto Maria, Cafiso, V., Giugno, R., LI DESTRI, G., Lanzafame, S, Santagati, Maria Carmela, DI RAIMONDO, Francesco, Stefani, S, and Purrello, Michele
- Published
- 2009
45. Design of highly specific synthetic miRNAs
- Author
-
Laganà, A, Forte, S, Papa, A, Giugno, R, Pulvirenti, Alfredo, Shasha, D, and Ferro, A.
- Published
- 2009
46. Enhancing Graph Database Indexing By Suffix Tree Structure
- Author
-
Bonnici, V, DI NATALE, R, Ferro, Alfredo, Giugno, R, Mongiovi', Misael, Pigola, G, Pulvirenti, A, and Shasha, D.
- Published
- 2009
47. The Apoptotic Machinery As A Biological Complex System: Analysis Of Its Omics And Evolution, Identification Of Candidate Genes For Fourteen Major Types Of Cancer And Experimental Validation in CML And Neuroblastoma
- Author
-
DI PIETRO, Cinzia Santa, Ragusa, Marco, Barbagallo, Davide, Duro, Lr, Guglielmino, Mr, Majorana, A., Angelica, R., Statello, L., Tomasello, L., Pernagallo, S., Valenti, S., Dagostino, V., Triberio, P., Tandurella, I., Forte, S., Laganà, A., Bosco, C., DI NATALE, R., Giugno, R., Pulvirenti, Alfredo, Ferro, A., Palumbo, G., LI DESTRI, Giovanni, Lanzafame, Salvatore, Cafiso, V., Bertuccio, T., Santagati, Maria Carmela, DI RAIMONDO, Francesco, Stefani, Stefania, and Purrello, Michele
- Published
- 2008
48. The Apoptotic Machinery As A Biological Complex System: Analysis of its Omics, Identification of Candidate Genes for Fourteen Major Types of Cancer and Experimental Validation in CML and Neuroblastoma
- Author
-
DI PIETRO, Cinzia Santa, Ragusa, Marco, Barbagallo, Davide, Duro, L. R., Guglielmino, Mr, Majorana, A., Angelica, R., Pernagallo, S., Valenti, S., Dagostino, V., Triberio, P., Statello, L., Tomasello, L., Giugno, R., Palumbo, G., G, Destri, Li, Lanzafame, Salvatore, DI RAIMONDO, Francesco, Stefani, S., and Purrello, M.
- Published
- 2008
49. Involvement of GTA proteins NC2β, TAF12, TAF13 in neuroblastoma pathogenesis suggests that they physiologically participate in the regulation of cell proliferation
- Author
-
DI PIETRO, Cinzia Santa, Ragusa, Marco, Barbagallo, D, Duro, Lr, Guglielmino, Mr, Majorana, A, Giunta, V, Rapisarda, A, Tricarichi, E, Miceli, M, Grillo, A, Banelli, B, Defferari, I, Forte, S, Laganà, A, Bosco, C, Giugno, R, Pulvirenti, A, Ferro, A, Grzeschik, Kh, DI CATALDO, Andrea, Tonini, Gp, Romani, M, and Purrello, Michele
- Published
- 2008
50. Prediction of human targets for viral encoded microRNAs by thermodynamics and empirical constraints
- Author
-
Ferro, Alfredo, Forte, S., Giugno, R., Lagana, A., Pulvirenti, A., Barbagallo, Davide, DI PIETRO, Cinzia Santa, Majorana, A., Purrello, Michele, Ragusa, Marco, Bonci, D., DE MARIA, R., and Pagliuca, A.
- Published
- 2007
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.