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showing 10 items of 24643 documents

A detailed experimental study of a DNA computer with two endonucleases

2017

Abstract Great advances in biotechnology have allowed the construction of a computer from DNA. One of the proposed solutions is a biomolecular finite automaton, a simple two-state DNA computer without memory, which was presented by Ehud Shapiro’s group at the Weizmann Institute of Science. The main problem with this computer, in which biomolecules carry out logical operations, is its complexity – increasing the number of states of biomolecular automata. In this study, we constructed (in laboratory conditions) a six-state DNA computer that uses two endonucleases (e.g. AcuI and BbvI) and a ligase. We have presented a detailed experimental verification of its feasibility. We described the effe…

0301 basic medicineTheoretical computer scienceDNA LigasesComputer scienceCarry (arithmetic)Oligonucleotides0102 computer and information sciencesBioinformatics01 natural sciencesGeneral Biochemistry Genetics and Molecular Biologylaw.inventionAutomationComputers Molecular03 medical and health sciencesDNA computinglawA-DNADeoxyribonucleases Type II Site-Specificchemistry.chemical_classificationDNA ligaseFinite-state machineBase Sequencebiomolecular computers; DNA computing; finite automataProcess (computing)DNAModels TheoreticalEndonucleasesAutomaton030104 developmental biologychemistry010201 computation theory & mathematicsWord (computer architecture)Zeitschrift für Naturforschung C
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Biomolecular computers with multiple restriction enzymes

2017

Abstract The development of conventional, silicon-based computers has several limitations, including some related to the Heisenberg uncertainty principle and the von Neumann “bottleneck”. Biomolecular computers based on DNA and proteins are largely free of these disadvantages and, along with quantum computers, are reasonable alternatives to their conventional counterparts in some applications. The idea of a DNA computer proposed by Ehud Shapiro’s group at the Weizmann Institute of Science was developed using one restriction enzyme as hardware and DNA fragments (the transition molecules) as software and input/output signals. This computer represented a two-state two-symbol finite automaton t…

0301 basic medicineTheoretical computer scienceDNA computerlcsh:QH426-4700102 computer and information sciencesBiology01 natural scienceslaw.inventionrestriction enzymesGenomics and Bioinformatics03 medical and health sciencessymbols.namesakeSoftwareDNA computinglawGeneticsNondeterministic finite automatonMolecular BiologyQuantum computerFinite-state machinebusiness.industryConstruct (python library)bioinformaticsDNARestriction enzymelcsh:Genetics030104 developmental biology010201 computation theory & mathematicssymbolsbusinessVon Neumann architectureGenetics and Molecular Biology
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The wasted chewing gum bacteriome

2020

Here we show the bacteriome of wasted chewing gums from five different countries and the microbial successions on wasted gums during three months of outdoors exposure. In addition, a collection of bacterial strains from wasted gums was set, and the biodegradation capability of different gum ingredients by the isolates was tested. Our results reveal that the oral microbiota present in gums after being chewed, characterised by the presence of species such as Streptococcus spp. or Corynebacterium spp., evolves in a few weeks to an environmental bacteriome characterised by the presence of Acinetobacter spp., Sphingomonas spp. and Pseudomonas spp. Wasted chewing gums collected worldwide contain …

0301 basic medicineTime Factors030106 microbiologyCorynebacteriumlcsh:MedicineSolid WasteArticleApplied microbiologyChewing Gum03 medical and health sciencesFood sciencelcsh:ScienceBiotransformationMultidisciplinarybiologyEnvironmental microbiologyBacteriaMicrobiotaPseudomonaslcsh:RBiofilmBacteriomeAcinetobacterbiology.organism_classificationSphingomonasChewing gum3. Good healthKocuria030104 developmental biologylcsh:QScientific Reports
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Deep learning models for bacteria taxonomic classification of metagenomic data.

2018

Background An open challenge in translational bioinformatics is the analysis of sequenced metagenomes from various environmental samples. Of course, several studies demonstrated the 16S ribosomal RNA could be considered as a barcode for bacteria classification at the genus level, but till now it is hard to identify the correct composition of metagenomic data from RNA-seq short-read data. 16S short-read data are generated using two next generation sequencing technologies, i.e. whole genome shotgun (WGS) and amplicon (AMP); typically, the former is filtered to obtain short-reads belonging to a 16S shotgun (SG), whereas the latter take into account only some specific 16S hypervariable regions.…

0301 basic medicineTime FactorsDBNComputer scienceBiochemistryStructural BiologyRNA Ribosomal 16SDatabases Geneticlcsh:QH301-705.5Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazionibiologySettore INF/01 - InformaticaShotgun sequencingApplied MathematicsAmpliconClassificationComputer Science Applicationslcsh:R858-859.7DNA microarrayShotgunAlgorithmsCNN030106 microbiologyk-mer representationlcsh:Computer applications to medicine. Medical informaticsDNA sequencing03 medical and health sciencesMetagenomicDeep LearningMolecular BiologyBacteriaModels GeneticPhylumbusiness.industryDeep learningResearchReproducibility of ResultsPattern recognitionBiological classification16S ribosomal RNAbiology.organism_classificationAmpliconHypervariable region030104 developmental biologyTaxonlcsh:Biology (General)MetagenomicsMetagenomeArtificial intelligenceMetagenomicsNeural Networks ComputerbusinessClassifier (UML)BacteriaBMC bioinformatics
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Bacterial antisense RNAs are mainly the product of transcriptional noise

2015

Most of the antisense transcripts in bacteria are the product of transcriptional noise derived from spurious promoters.

0301 basic medicineTranscription GeneticBacterial antisense RNAs030106 microbiologyinformation scienceBiologyGenomeTranscriptome03 medical and health sciencesSpecies SpecificityTranscription (biology)medicineLife Sciencenatural sciencesRNA AntisenseSystems and Synthetic BiologyResearch ArticlesGeneticsBiomoleculesMessenger RNASysteem en Synthetische BiologieMultidisciplinaryRNASciAdv r-articlesPromotersocial sciencesmedicine.diseaseequipment and supplieshealth care quality access and evaluationChloroplastRNA BacterialCardiovascular and Metabolic Diseasesbacterial antisense RNAsRNATranscriptomeTranscriptional noiseResearch ArticleScience Advances
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Characterization of Bacillus thuringiensis isolates by their insecticidal activity and their production of Cry and Vip3 proteins.

2018

WOS: 000449027600099 PubMed ID: 30383811 Bacillus thuringiensis (Bt) constitutes the active ingredient of many successful bioinsecticides used in agriculture. In the present study, the genetic diversity and toxicity of Bt isolates was investigated by characterization of native isolates originating from soil, fig leaves and fruits from a Turkish collection. Among a total of 80 Bt isolates, 18 of them were found carrying a vip3 gene (in 23% of total), which were further selected. Insecticidal activity of spore/crystal mixtures and their supernatants showed that some of the Bt isolates had significantly more toxicity against some lepidopteran species than the HD1 reference strain. Five isolate…

0301 basic medicineTurkeyProtein ExpressionBacillus Thuringiensislcsh:MedicineArtificial Gene Amplification and ExtensionBacillusProtein SequencingMothsToxicologyPathology and Laboratory MedicinePolymerase Chain ReactionDatabase and Informatics MethodsBacillus thuringiensisMedicine and Health SciencesToxinslcsh:ScienceMaterialsSoil MicrobiologyMultidisciplinaryBacterial PathogensMedical MicrobiologyPhysical SciencesPathogensSequence AnalysisResearch ArticleSequence analysisBioinformatics030106 microbiologyBacterial ToxinsMaterials ScienceToxic AgentsSequence DatabasesBiologySpodopteraHelicoverpa armigeraResearch and Analysis MethodsCrystalsMicrobiologyMicrobiology03 medical and health sciencesBacterial ProteinsGene Expression and Vector TechniquesAnimalsPest Control BiologicalMolecular Biology TechniquesSequencing TechniquesGeneMolecular BiologyMicrobial PathogensPlant DiseasesGenetic diversityMolecular Biology Assays and Analysis TechniquesToxicityBacterialcsh:RfungiOrganismsBiology and Life Sciencesbiology.organism_classificationFicusSporePlant Leaves030104 developmental biologyBiological DatabasesCry1AcSusceptibilityFruitlcsh:QPloS one
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Six Serum miRNAs Fail to Validate as Myotonic Dystrophy Type 1 Biomarkers.

2016

Myotonic dystrophy type 1 (DM1) is an autosomal dominant genetic disease caused by expansion of a CTG microsatellite in the 3' untranslated region of the DMPK gene. Despite characteristic muscular, cardiac, and neuropsychological symptoms, CTG trinucleotide repeats are unstable both in the somatic and germinal lines, making the age of onset, clinical presentation, and disease severity very variable. A molecular biomarker to stratify patients and to follow disease progression is, thus, an unmet medical need. Looking for a novel biomarker, and given that specific miRNAs have been found to be misregulated in DM1 heart and muscle tissues, we profiled the expression of 175 known serum miRNAs in …

0301 basic medicineUntranslated regionMalePathologyPhysiologylcsh:MedicineArtificial Gene Amplification and ExtensionDiseaseBioinformaticsBiochemistryPolymerase Chain Reaction0302 clinical medicineTrinucleotide RepeatsMedicine and Health SciencesMyotonic Dystrophylcsh:ScienceMusculoskeletal SystemMultidisciplinaryMusclesHematologyMiddle Aged3. Good healthBody FluidsNucleic acidsBlotting SouthernBloodGenetic DiseasesBiomarker (medicine)AnatomyResearch ArticleAdultmusculoskeletal diseasesmedicine.medical_specialtyBiologyResearch and Analysis MethodsMyotonic dystrophy03 medical and health sciencesExtraction techniquesmicroRNAmedicineGeneticsHumansNon-coding RNAMolecular Biology TechniquesGeneMolecular BiologyClinical GeneticsBiology and life sciencesGene Expression Profilinglcsh:Rmedicine.diseaseRNA extractionGene regulationGene expression profilingMicroRNAs030104 developmental biologySkeletal MusclesRNAlcsh:QGene expressionAge of onset030217 neurology & neurosurgeryBiomarkersPLoS ONE
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Pursuing softer urban mobility behaviors through game-based apps

2020

Cities are currently engaged through their urban policies in pushing people towards less environmentally impacting mobility modalities: therefore, cycling and walking are strongly promoted, especially by means of new and wider limited traffic and no-cars zones. In this paper, the effectiveness of the new smartphones and apps-based technologies in modifying the mobility behaviors of citizens towards more sustainable choices has been investigated. Specifically, the potential of a smartphone app, directly involving citizens by means of a game rewarding the most sustainable trips, has been tested on a university commuters' group. These latter, starting from their current mobility situation, wer…

0301 basic medicineUrban energy consumptionInformation sciencePsychological interventionEnvironmental pollution7. Clean energyArticleInformation scienceEnvironmental pollutionEnvironmental science03 medical and health sciences0302 clinical medicineEnvironmental analysi11. SustainabilityClimate changelcsh:Social sciences (General)lcsh:Science (General)Environmental analysisGame-based appMultidisciplinaryModalitiesSettore ING-IND/11 - Fisica Tecnica AmbientaleUrban policyEnvironmental economicsCommuter030104 developmental biology13. Climate actionClimate policySweet mobilitySmartphone appAir qualityTRIPS architectureGame basedlcsh:H1-99Smartphone030217 neurology & neurosurgeryCommuterslcsh:Q1-390Heliyon
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Next‐generation sequencing reveals the mutational landscape of clinically diagnosed Usher syndrome: copy number variations, phenocopies, a predominan…

2017

Background Combined retinal degeneration and sensorineural hearing impairment is mostly due to autosomal recessive Usher syndrome (USH1: congenital deafness, early retinitis pigmentosa (RP); USH2: progressive hearing impairment, RP). Methods Sanger sequencing and NGS of 112 genes (Usher syndrome, nonsyndromic deafness, overlapping conditions), MLPA, and array-CGH were conducted in 138 patients clinically diagnosed with Usher syndrome. Results A molecular diagnosis was achieved in 97% of both USH1 and USH2 patients, with biallelic mutations in 97% (USH1) and 90% (USH2), respectively. Quantitative readout reliably detected CNVs (confirmed by MLPA or array-CGH), qualifying targeted NGS as one …

0301 basic medicineUsher syndromeNonsense mutationnext‐generation sequencingBiologyGene mutationBioinformatics03 medical and health sciencessymbols.namesakeRetinitis pigmentosaGeneticsmedicineotorhinolaryngologic diseasesMultiplex ligation-dependent probe amplificationNonsyndromic deafnessMolecular BiologyGenetics (clinical)Sanger sequencingGeneticsHeimler syndromeCopy number variationPoint mutationOriginal Articlesmedicine.diseaseeye diseases030104 developmental biologysymbolsphenocopiestranslational read‐throughOriginal ArticleUsher syndromeMolecular Genetics & Genomic Medicine
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In silico pathway analysis in cervical carcinoma reveals potential new targets for treatment

2016

Abstract: An in silico pathway analysis was performed in order to improve current knowledge on the molecular drivers of cervical cancer and detect potential targets for treatment. Three publicly available Affymetrix gene expression data-sets (GSE5787, GSE7803, GSE9750) were retrieved, vouching for a total of 9 cervical cancer cell lines (CCCLs), 39 normal cervical samples, 7 CIN3 samples and 111 cervical cancer samples (CCSs). Predication analysis of microarrays was performed in the Affymetrix sets to identify cervical cancer biomarkers. To select cancer cell-specific genes the CCSs were compared to the CCCLs. Validated genes were submitted to a gene set enrichment analysis (GSEA) and Expre…

0301 basic medicineUterine Cervical NeoplasmMAPK3Uterine Cervical NeoplasmsBioinformaticsHeLa CellMitogen-Activated Protein Kinase0302 clinical medicineTransforming Growth Factor betaMedicineOligonucleotide Array Sequence AnalysisCancerCervical cancerABLCell CycleIn silico pathway analysiCell cycleGene Expression Regulation NeoplasticOncology030220 oncology & carcinogenesisFemaleDNA microarrayMitogen-Activated Protein KinasesTreatment targetResearch PaperHumanin silico pathway analysisMAP Kinase Signaling SystemIn silicoComputational biologytreatment targetsProto-Oncogene Proteins c-myc03 medical and health sciencesCell Line TumorBiomarkers TumorHumansComputer SimulationAmino Acid SequenceBiologyCervical carcinomabusiness.industryOligonucleotide Array Sequence AnalysiGene Expression ProfilingCancerComputational Biologymedicine.diseaseChromatin Assembly and DisassemblyGene expression profiling030104 developmental biologyHuman medicinebusinessHeLa CellsOncotarget
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