Search results for "Bioinformatics"

showing 10 items of 1632 documents

Small RNA-seq analysis of circulating miRNAs to identify phenotypic variability in Friedreich's ataxia patients.

2018

AbstractFriedreich’s ataxia (FRDA; OMIM 229300), an autosomal recessive neurodegenerative mitochondrial disease, is the most prevalent hereditary ataxia. In addition, FRDA patients have shown additional non-neurological features such as scoliosis, diabetes, and cardiac complications. Hypertrophic cardiomyopathy, which is found in two thirds of patients at the time of diagnosis, is the primary cause of death in these patients. Here, we used small RNA-seq of microRNAs (miRNAs) purified from plasma samples of FRDA patients and controls. Furthermore, we present the rationale, experimental methodology, and analytical procedures for dataset analysis. This dataset will facilitate the identificatio…

0301 basic medicineStatistics and ProbabilityEpigenomicsSmall RNAData DescriptorAtaxiaMitochondrial diseaseLibrary and Information SciencesBioinformaticsEducation03 medical and health sciences0302 clinical medicinemicroRNAMedicineHumansCirculating MicroRNAPathologicalCause of deathbusiness.industrySequence Analysis RNAHypertrophic cardiomyopathyNeuromuscular diseasemedicine.diseasePhenotypeComputer Science Applications030104 developmental biologyFriedreich AtaxiaNext-generation sequencingmedicine.symptomStatistics Probability and Uncertaintybusiness030217 neurology & neurosurgeryInformation SystemsScientific data
researchProduct

Reference genome assessment from a population scale perspective: an accurate profile of variability and noise.

2017

Abstract Motivation Current plant and animal genomic studies are often based on newly assembled genomes that have not been properly consolidated. In this scenario, misassembled regions can easily lead to false-positive findings. Despite quality control scores are included within genotyping protocols, they are usually employed to evaluate individual sample quality rather than reference sequence reliability. We propose a statistical model that combines quality control scores across samples in order to detect incongruent patterns at every genomic region. Our model is inherently robust since common artifact signals are expected to be shared between independent samples over misassembled regions …

0301 basic medicineStatistics and ProbabilityQuality ControlGenotypeComputer sciencemedia_common.quotation_subjectPopulationGenomicsBioinformaticscomputer.software_genreBiochemistryGenome03 medical and health sciencesGenetic variationAnimalsHumansQuality (business)AlleleeducationMolecular BiologyGenotypingReliability (statistics)media_commonProtocol (science)education.field_of_studyGenomeModels StatisticalGenetic VariationReproducibility of ResultsGenomicsGenome AnalysisOriginal PapersComputer Science ApplicationsComputational Mathematics030104 developmental biologyComputational Theory and MathematicsData miningcomputerSoftwareReference genome
researchProduct

AFS: identification and quantification of species composition by metagenomic sequencing

2017

Abstract Summary DNA-based methods to detect and quantify taxon composition in biological materials are often based on species-specific polymerase chain reaction, limited to detecting species targeted by the assay. Next-generation sequencing overcomes this drawback by untargeted shotgun sequencing of whole metagenomes at affordable cost. Here we present AFS, a software pipeline for quantification of species composition in food. AFS uses metagenomic shotgun sequencing and sequence read counting to infer species proportions. Using Illumina data from a reference sausage comprising four species, we reveal that AFS is independent of the sequencing assay and library preparation protocol. Cost-sav…

0301 basic medicineStatistics and ProbabilitySequence analysisLibrary preparationComputational biologyBiologyBioinformaticsBiochemistrylaw.invention03 medical and health sciences0404 agricultural biotechnologylawMolecular BiologyPolymerase chain reactionShotgun sequencingHigh-Throughput Nucleotide SequencingSequence Analysis DNA04 agricultural and veterinary sciencesAccession number (bioinformatics)040401 food scienceBiological materialsComputer Science ApplicationsComputational Mathematics030104 developmental biologyComputational Theory and MathematicsMetagenomicsFood MicrobiologyIdentification (biology)MetagenomicsSoftwareBioinformatics
researchProduct

GABAergic System in Action: Connection to Gastrointestinal Stress-related Disorders.

2017

Background: Currently, treatment of stress-related gastrointestinal disorders, such as inflammatory bowel disease (IBD) and irritable bowel syndrome (IBS), is mainly symptomatic since there is no drug on the market that solves effectively diverse disease symptoms and comorbid states. Thus, recently GABA receptors have been identified within gastrointestinal system and it has been recognized that among various GABAergic drugs some of them influence gastrointestinal stress-related diseases. Firstly, benzodiazepines have been investigated due to their diverse effects: neuroimmunomodulatory, relief of visceral pain and anxiolytic action. Conclusion: The present review brings findings on the exp…

0301 basic medicineStremedicine.drug_classGastrointestinal DiseasesGABAergic systemDiseasePharmacologyBioinformaticsSettore BIO/09 - FisiologiaAnxiolyticInflammatory bowel diseaseIrritable Bowel Syndrome03 medical and health sciencesBenzodiazepines0302 clinical medicineReceptors GABADrug DiscoverymedicineAnimalsHumansIrritable bowel syndromeGABAergic system ; stress ; benzodiazepines ; gastrointestinal system ; stress-related disorders ; therapygamma-Aminobutyric AcidPharmacologytherapyGastrointestinal tractbusiness.industryStress-related disordersVisceral painmedicine.diseaseInflammatory Bowel Diseases030104 developmental biologystress-related disordergastrointestinal systemGABAergic030211 gastroenterology & hepatologybenzodiazepinemedicine.symptombusinessStress PsychologicalCurrent pharmaceutical design
researchProduct

A Systematic Study of Dysregulated MicroRNA in Type 2 Diabetes Mellitus

2017

MicroRNAs (miRNAs) are small noncoding RNAs that modulate the cellular transcriptome at the post-transcriptional level. miRNA plays important roles in different disease manifestation, including type 2 diabetes mellitus (T2DM). Many studies have characterized the changes of miRNAs in T2DM, a complex systematic disease; however, few studies have integrated these findings and explored the functional effects of the dysregulated miRNAs identified. To investigate the involvement of miRNAs in T2DM, we obtained and analyzed all relevant studies published prior to 18 October 2016 from various literature databases. From 59 independent studies that met the inclusion criteria, we identified 158 dysregu…

0301 basic medicineSystematic surveytype 2 diabetes mellitussystematic study030209 endocrinology & metabolismDiseaseBioinformaticsCatalysisArticleInorganic ChemistryTranscriptomelcsh:Chemistry03 medical and health sciences0302 clinical medicineDiabetes mellitusmiRNA-mRNA interaction networkmicroRNAmedicineHumansGene Regulatory NetworksRNA MessengerPhysical and Theoretical Chemistry10. No inequalityMolecular Biologylcsh:QH301-705.5SpectroscopyAdipocytokine Signaling PathwaymicroRNA; type 2 diabetes mellitus; miRNA-mRNA interaction network; systematic studymicroRNAbusiness.industryGene Expression ProfilingOrganic ChemistryType 2 Diabetes MellitusGeneral Medicinemedicine.diseaseComputer Science ApplicationsMicroRNAs030104 developmental biologyDiabetes Mellitus Type 2Gene Expression Regulationlcsh:Biology (General)lcsh:QD1-999Organ SpecificityRNA InterferenceDisease manifestationbusinessTranscriptomeSignal TransductionInternational Journal of Molecular Sciences
researchProduct

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
researchProduct

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
researchProduct

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
researchProduct

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
researchProduct

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
researchProduct