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showing 10 items of 43419 documents

Hsp60 as a Novel Target in IBD Management: A Prospect

2019

Inflammatory bowel disease (IBD) encompasses various pathological conditions similar but distinct that share a multifactorial etiology, including involvement of the intestinal barrier function, the immune system, and intestinal microorganisms. Hsp60 is a chaperonin component of the chaperoning system, present in all cells and tissues, including the intestine. It plays important roles in cell physiology outside and inside mitochondria, its canonical place of residence. However, Hsp60 can also be pathogenic in many conditions, the Hsp60 chaperonopathies, possibly including IBD. The various clinico-pathological types of IBD have a complicated mix of causative factors, among which Hsp60 can be …

0301 basic medicineColorectal cancerMini Reviewchaperoning systemDiseaseBioinformaticsInflammatory bowel diseasePathogenesis03 medical and health sciences0302 clinical medicineImmune systemintestinal wallinflammatory bowel diseasemedicinemicrobiotaPharmacology (medical)PathologicalchaperonotherapyPharmacologybusiness.industrylcsh:RM1-950fungimedicine.diseaseHsp60Biomarkerimmune systemlcsh:Therapeutics. Pharmacology030104 developmental biology030220 oncology & carcinogenesisEtiologychaperonopathybusinessFrontiers in Pharmacology
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Gut microbiota imbalance and colorectal cancer

2016

International audience; The gut microbiota acts as a real organ. The symbiotic interactions between resident micro-organisms and the digestive tract highly contribute to maintain the gut homeostasis. However, alterations to the microbiome caused by environmental changes (e.g., infection, diet and/or lifestyle) can disturb this symbiotic relationship and promote disease, such as inflammatory bowel diseases and cancer. Colorectal cancer is a complex association of tumoral cells, non-neoplastic cells and a large amount of micro-organisms, and the involvement of the microbiota in colorectal carcinogenesis is becoming increasingly clear. Indeed, many changes in the bacterial composition of the g…

0301 basic medicineColorectal cancer[SDV]Life Sciences [q-bio]enterotoxigenic bacteroides-fragilisGut floraCyclomodulin[ SDV.CAN ] Life Sciences [q-bio]/CancerTopic Highlightstreptococcus-gallolyticus infectionbiologyGastrointestinal MicrobiomeGastroenterologyGeneral Medicinecytolethal-distending toxin3. Good healthlactobacillus-acidophilus deficientIntestinesCell Transformation NeoplasticHost-Pathogen InteractionsInflammation MediatorsColorectal NeoplasmsVirulence Factorspolymerase-chain-reaction[SDV.CAN]Life Sciences [q-bio]/CancerGut microbiotaoxidative dna-damageMicrobiologyescherichia-coli strains03 medical and health scienceshelicobacter-pylori infectionmedicineAnimalsHumansMicrobiomeBacteria[ SDV ] Life Sciences [q-bio]inflammatory-bowel-diseaseCancerHelicobacter pyloribiology.organism_classificationmedicine.diseaseStreptococcus bovisColorectal cancerGastrointestinal MicrobiomeHépatologie et Gastroentérologie030104 developmental biologytoll-like receptorsOxidative stressImmunologyHépatology and GastroenterologyDysbiosiscolorectal cancer;gut microbiota;dysbiosis;cyclomodulin;oxidative;stress;enterotoxigenic bacteroides-fragilis;oxidative dna-damage;cytolethal-distending toxin;inflammatory-bowel-disease;streptococcus-gallolyticus infection;lactobacillus-acidophilus;deficient;helicobacter-pylori infection;polymerase-chain-reaction;escherichia-coli strains;toll-like receptorsDysbiosisDNA Damage
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A novel therapeutic approach to colorectal cancer in diabetes: role of metformin and rapamycin

2019

International audience; The link between colorectal cancer (CRC), diabetes mellitus (DM) and inflammation is well established, and polytherapy, including rapamycin, has been adopted. This study is a novel approach that aimed at assessing the effect of a combination therapy of metformin and rapamycin on the control or prevention of CRC in diabetic animals, in presence or absence of probiotics. Fifty NOD/SCIDs male mice developed xenograft by inoculating HCT116 cells. They were equally divided into diabetics (induced by Streptozotocin) and non-diabetics. Metformin was given in drinking water, whereas rapamycin was administered via intra-peritoneal injections. Probiotics were added to the doub…

0301 basic medicineCombination therapyColorectal cancerinflammatory cytokinesSettore BIO/11 - Biologia MolecolareInflammationcolorectal cancer[SDV.CAN]Life Sciences [q-bio]/CancerPharmacologyProinflammatory cytokine03 medical and health sciences0302 clinical medicine[SDV.CAN] Life Sciences [q-bio]/CancerDiabetes mellituscolorectal cancer biabetes therapeutic approachMedicinePI3K/AKT/mTOR pathwaybusiness.industryCorrectionmedicine.disease3. Good healthMetforminSettore MED/18 - Chirurgia Generale030104 developmental biologyOncologyprobiotics030220 oncology & carcinogenesisdiabetes mellitusmTORTumor necrosis factor alphamedicine.symptombusinessmedicine.drugResearch Paper
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A continuous genome assembly of the corkwing wrasse (Symphodus melops)

2018

Material suplementar disponível online em: https://doi.org/10.1016/j.ygeno.2018.04.009. The wrasses (Labridae) are one of the most successful and species-rich families of the Perciformes order of teleost fish. Its members display great morphological diversity, and occupy distinct trophic levels in coastal waters and coral reefs. The cleaning behaviour displayed by some wrasses, such as corkwing wrasse (Symphodus melops), is of particular interest for the salmon aquaculture industry to combat and control sea lice infestation as an alternative to chemicals and pharmaceuticals. There are still few genome assemblies available within this fish family for comparative and functional studies, despi…

0301 basic medicineComparative genomicsWhole genome sequencingMaleeducation.field_of_studyGenomebiologyInexistentePopulationGenome projectSequence Analysis DNAbiology.organism_classificationLabrus bergyltaGenomePerciformes03 medical and health sciences030104 developmental biologyGenetics PopulationWrasseEvolutionary biologyGeneticsAnimalseducationCorkwing wrasse
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Efficient Algorithms for Sequence Analysis with Entropic Profiles

2017

Entropy, being closely related to repetitiveness and compressibility, is a widely used information-related measure to assess the degree of predictability of a sequence. Entropic profiles are based on information theory principles, and can be used to study the under-/over-representation of subwords, by also providing information about the scale of conserved DNA regions. Here, we focus on the algorithmic aspects related to entropic profiles. In particular, we propose linear time algorithms for their computation that rely on suffix-based data structures, more specifically on the truncated suffix tree (TST) and on the enhanced suffix array (ESA). We performed an extensive experimental campaign …

0301 basic medicineCompressed suffix arrayTheoretical computer scienceEntropySuffix tree0206 medical engineeringGeneralized suffix tree02 engineering and technologyString searching algorithmInformation theorylaw.invention03 medical and health scienceslawGeneticsAnimalsHumansMathematicsApplied MathematicsSuffix arrayComputational BiologyDNASequence Analysis DNAData structure030104 developmental biologySuffixAlignment free Entropy Sequence analysis Sequence comparisonAlgorithms020602 bioinformaticsBiotechnologyIEEE/ACM Transactions on Computational Biology and Bioinformatics
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Enabling openness of valuable information resources: Curbing data subtractability and exclusion

2019

In this paper we investigate how data openness can be made possible in communal settings. We adopt a utility perspective that foregrounds the use value of data, conceptualizing them as “goods.” On the basis of this conceptualization we explore 2 key goods' attributes: subtractability and exclusion. Our theoretical basis is built upon concepts from the theory of the commons, power theorizing, and notions related to data and information. Empirically, we investigate openness in the genetics domain through a longitudinal study of the evolving communal infrastructure for data related to 2 genes influencing women's susceptibility to breast and ovarian cancer (BRCA1 and BRCA2). We follow the conti…

0301 basic medicineComputer Networks and Communicationsbusiness.industryInternet privacycommonsopen data030105 genetics & heredityCritical researchPeer reviewPower (social and political)power03 medical and health sciencesOpen data030104 developmental biologyOpenness to experiencecritical researchbusinessCommonsSoftwareInformation Systems
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Influence of pathway topology and functional class on the molecular evolution of human metabolic genes

2018

Metabolic networks comprise thousands of enzymatic reactions functioning in a controlled manner and have been shaped by natural selection. Thanks to the genome data, the footprints of adaptive (positive) selection are detectable, and the strength of purifying selection can be measured. This has made possible to know where, in the metabolic network, adaptive selection has acted and where purifying selection is more or less strong and efficient. We have carried out a comprehensive molecular evolutionary study of all the genes involved in the human metabolism. We investigated the type and strength of the selective pressures that acted on the enzyme-coding genes belonging to metabolic pathways …

0301 basic medicineComputer and Information SciencesEvolutionary ProcessesScienceMetabolic networkMetabolic networksBiologyTopologyGenomeBiochemistryEvolutionary geneticsEvolution Molecular03 medical and health sciencesNegative selection0302 clinical medicineMolecular evolutionEnzyme metabolismAnimalsHumansCentralityEnzyme ChemistryGeneSelection (genetic algorithm)030304 developmental biologyMammals0303 health sciencesEvolutionary BiologyMultidisciplinaryNatural selectionQRBiology and Life SciencesProteinsEvolutionary rateEnzymesMetabolic pathway030104 developmental biologyMetabolismMetabolic pathwaysEnzymologyMedicineMolecular evolution030217 neurology & neurosurgeryNetwork AnalysisResearch Article
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Discriminating graph pattern mining from gene expression data

2016

We consider the problem of mining gene expression data in order to single out interesting features that characterize healthy/unhealthy samples of an input dataset. We present and approach based on a network model of the input gene expression data, where there is a labelled graph for each sample. To the best of our knowledge, this is the first attempt to build a different graph for each sample and, then, to have a database of graphs for representing a sample set. Out main goal is that of singling out interesting differences between healthy and unhealthy samples, through the extraction of "discriminating patterns" among graphs belonging to the two different sample sets. Differently from the …

0301 basic medicineComputer science0206 medical engineeringOcean Engineering02 engineering and technologycomputer.software_genreGraph03 medical and health sciences030104 developmental biologyData miningcomputer020602 bioinformaticsBiological networkNetwork modelACM SIGAPP Applied Computing Review
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Applying Conceptual Modeling to Better Understand the Human Genome

2016

The objective of the work is to present the benefits of the application of Conceptual Modeling (CM) in complex domains, such as genomics. This paper explains the evolution of a Conceptual Schema of the Human Genome (CSHG), which seeks to provide a clear and precise understanding of the human genome. We want to highlighting all the advantages of the application of CM in a complex domain such as Genomic Information Systems (GeIS). We show how over time this model has evolved, thus we have discovered better forms of representation. As we advanced in exploring the domain, we understood that we should be extending and incorporating the new concepts detected into our model. Here we present and di…

0301 basic medicineComputer science0206 medical engineeringRepresentation (systemics)GenomicsContext (language use)02 engineering and technologyData scienceConceptual schemaDomain (software engineering)03 medical and health sciences030104 developmental biologyGenomic informationHuman genome020602 bioinformatics
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All-atom simulations to studying metallodrugs/target interactions.

2021

Abstract Metallodrugs are extensively used to treat and diagnose distinct disease types. The unique physical–chemical properties of metal ions offer tantalizing opportunities to tailor effective scaffolds for selectively targeting specific biomolecules. Modern experimental techniques have collected a large body of structural data concerning the interactions of metallodrugs with their biomolecular targets, although being unable to exhaustively assess the molecular basis of their mechanism of action. In this scenario, the complementary use of accurate computational methods allows uncovering the minutiae of metallodrugs/targets interactions and their underlying mechanism of action at an atomic…

0301 basic medicineComputer scienceAntineoplastic AgentsMetallo-drug discoveryMolecular dynamicsMolecular Dynamics Simulation010402 general chemistry01 natural sciencesBiochemistryQM/MMAnalytical Chemistry03 medical and health sciencesComputational ChemistryCoordination ComplexesHumansMetallo-drugscomputer.file_format0104 chemical sciences030104 developmental biologyMetalsAtom (standard)Ruthenium drugsQuantum TheoryGold drugsBiochemical engineeringCisplatincomputerCurrent opinion in chemical biology
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