Search results for " sequencing"

showing 10 items of 976 documents

The endophytic microbiota of Citrus limon is transmitted from seed to shoot highlighting differences of bacterial and fungal community structures

2021

AbstractCitrus limon (L.) Burm. F. is an important evergreen fruit crop whose rhizosphere and phyllosphere microbiota  have been characterized, while seed microbiota is still unknown. Bacterial and fungal endophytes were isolated from C. limon surface-sterilized seeds. The isolated fungi—belonging to Aspergillus, Quambalaria and Bjerkandera genera—and bacteria—belonging to Staphylococcus genus—were characterized for indoleacetic acid production and phosphate solubilization. Next Generation Sequencing based approaches were then used to characterize the endophytic bacterial and fungal microbiota structures of surface-sterilized C. limon seeds and of shoots obtained under aseptic conditions fr…

0301 basic medicineCitrusScience030106 microbiologyMicrobial communitiesCitrus limonBiologyMicrobiologyArticleApplied microbiology03 medical and health sciencesMicrobial ecologyFISH-CLSMBotanyBjerkanderaRhizosphereMultidisciplinaryEnvironmental microbiologyBacteriaMicrobiotafungiDebaryomycesQFungiRfood and beveragesbiology.organism_classificationseed microbiota bacterial and fungal endophytes surface-sterilized seeds next generation sequencing indoleacetic acid production phosphate solubilization030104 developmental biologyGerminationNGSSeedsShootCitrus limon L. BurmMedicinevertical transmissionPhyllosphereseedPlant ShootsCladosporiumendophytic microbiota
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Active and Secretory IgA-Coated Bacterial Fractions Elucidate Dysbiosis in Clostridium difficile Infection

2016

C. difficile is a major enteric pathogen with worldwide distribution. Its expansion is associated with broad-spectrum antibiotics which disturb the normal gut microbiome. In this study, the DNA sequencing of highly active bacteria and bacteria opsonized by intestinal secretory immunoglobulin A (SIgA) separated from the whole bacterial community by FACS elucidated how the gut dysbiosis promotes C. difficile infection (CDI). Bacterial groups with inhibitory effects on C. difficile growth, such as Lactobacillales, were mostly inactive in the CDI patients. C. difficile was typical for the bacterial fraction opsonized by SIgA in patients with CDI, while Fusobacterium was characteristic for the S…

0301 basic medicineClostridium Cluster IVmedicine.drug_class030106 microbiologyAntibioticslcsh:QR1-502Microbiologylcsh:MicrobiologyantibioticsMicrobiologyHost-Microbe Biology03 medical and health sciencesClostridium difficile infectionmedicineMicrobiomeMolecular Biology16S rRNA gene sequencinghuman gut microbiomebiologyLactobacillalesdysbiosisClostridium difficilebiology.organism_classificationmedicine.diseaseQR1-502030104 developmental biologyBayesian networksFusobacteriumImmunologysecretory immunoglobulin ADysbiosisBacteriafluorescence-activated cell sortingResearch ArticlemSphere
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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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Large-scale identification of functional microRNA targeting reveals cooperative regulation of the hemostatic system.

2018

Essentials MicroRNAs (miRNAs) regulate the molecular networks controlling biological functions such as hemostasis. We utilized novel methods to analyze miRNA-mediated regulation of the hemostatic system. 52 specific miRNA interactions with 11 key hemostatic associated genes were identified. Functionality and drugability of miRNA-19b-3p against antithrombin were demonstrated in vivo. SUMMARY: Background microRNAs (miRNAs) confer robustness to complex molecular networks regulating biological functions. However, despite the involvement of miRNAs in almost all biological processes, and the importance of the hemostatic system for a multitude of actions in and beyond blood coagulation, the role o…

0301 basic medicineComputational biologyBiologyAntithrombinsHemostatics03 medical and health sciencesMiceCell Line TumormicroRNAGene silencingAnimalsHumansGene SilencingBiomarker discoveryGene3' Untranslated RegionsHemostasisThree prime untranslated regionRNARobustness (evolution)Computational BiologyHigh-Throughput Nucleotide SequencingThrombosisHematologyMice Inbred C57BLMicroRNAs030104 developmental biologyHemostasisBiomarkersPlasmidsJournal of thrombosis and haemostasis : JTH
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AlkAniline-Seq: Profiling of m7 G and m3 C RNA Modifications at Single Nucleotide Resolution.

2018

RNA modifications play essential roles in gene expression regulation. Only seven out of >150 known RNA modifications are detectable transcriptome-wide by deep sequencing. Here we describe a new principle of RNAseq library preparation, which relies on a chemistry based positive enrichment of reads in the resulting libraries, and therefore leads to unprecedented signal-to-noise ratios. The proposed approach eschews conventional RNA sequencing chemistry and rather exploits the generation of abasic sites and subsequent aniline cleavage. The newly generated 5'-phosphates are used as unique entry for ligation of an adapter in library preparation. This positive selection, embodied in the AlkAnilin…

0301 basic medicineComputational biologyCatalysisDeep sequencing03 medical and health sciencesdeep sequencingAdapter (genetics)[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]Epitranscriptomicsabasic siteNucleotideAP siteComputingMilieux_MISCELLANEOUSchemistry.chemical_classificationRegulation of gene expressionChemistryRNA[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyGeneral ChemistryMethylationSciences bio-médicales et agricolesRNA modification3. Good health030104 developmental biologymethylationepitranscriptomics
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HPG pore: an efficient and scalable framework for nanopore sequencing data.

2016

The use of nanopore technologies is expected to spread in the future because they are portable and can sequence long fragments of DNA molecules without prior amplification. The first nanopore sequencer available, the MinION™ from Oxford Nanopore Technologies, is a USB-connected, portable device that allows real-time DNA analysis. In addition, other new instruments are expected to be released soon, which promise to outperform the current short-read technologies in terms of throughput. Despite the flood of data expected from this technology, the data analysis solutions currently available are only designed to manage small projects and are not scalable. Here we present HPG Pore, a toolkit for …

0301 basic medicineComputer scienceApplied MathematicsDistributed computingDNASequence Analysis DNAData scienceBiochemistryComputer Science Applications03 medical and health scienceschemistry.chemical_compoundNanoporeNanopores030104 developmental biology0302 clinical medicinechemistryStructural Biology030220 oncology & carcinogenesisScalabilityNanopore sequencingDNA microarrayThroughput (business)Molecular BiologyDNASoftwareBMC bioinformatics
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Differential binding cell-SELEX method to identify cell-specific aptamers using high-throughput sequencing

2018

AbstractAptamers have in recent years emerged as a viable alternative to antibodies. High-throughput sequencing (HTS) has revolutionized aptamer research by increasing the number of reads from a few (using Sanger sequencing) to millions (using an HTS approach). Despite the availability and advantages of HTS compared to Sanger sequencing, there are only 50 aptamer HTS sequencing samples available on public databases. HTS data in aptamer research are primarily used to compare sequence enrichment between subsequent selection cycles. This approach does not take full advantage of HTS because the enrichment of sequences during selection can be due to inefficient negative selection when using live…

0301 basic medicineComputer scienceAptamerlcsh:MedicineGenomicsComputational biologyCell selexLigandsArticleDNA sequencingCell Line03 medical and health sciencessymbols.namesakeNegative selectionDrug Delivery Systems0302 clinical medicineCell Line TumorHumansGenomic librarylcsh:ScienceCarcinoma Renal CellSelection (genetic algorithm)Gene LibrarySanger sequencingMultidisciplinaryMolecular medicinelcsh:RSELEX Aptamer TechniqueHigh-throughput screeningComputational BiologyHigh-Throughput Nucleotide SequencingNucleotide MetabolismGenomicsAptamers NucleotideFlow CytometryMolecular medicineKidney Neoplasms030104 developmental biologyDrug DesignDrug deliverysymbolsNucleic Acid Conformationlcsh:QFunctional genomics030217 neurology & neurosurgerySystematic evolution of ligands by exponential enrichment
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Next-generation sequencing: big data meets high performance computing

2017

The progress of next-generation sequencing has a major impact on medical and genomic research. This high-throughput technology can now produce billions of short DNA or RNA fragments in excess of a few terabytes of data in a single run. This leads to massive datasets used by a wide range of applications including personalized cancer treatment and precision medicine. In addition to the hugely increased throughput, the cost of using high-throughput technologies has been dramatically decreasing. A low sequencing cost of around US$1000 per genome has now rendered large population-scale projects feasible. However, to make effective use of the produced data, the design of big data algorithms and t…

0301 basic medicineComputer scienceDistributed computingGenomic researchBig dataTerabyteComputing MethodologiesDNA sequencing03 medical and health sciences0302 clinical medicineDatabases GeneticDrug DiscoveryHumansThroughput (business)PharmacologyGenomebusiness.industryHigh-Throughput Nucleotide SequencingGenomicsSequence Analysis DNAPrecision medicineSupercomputerData scienceCancer treatment030104 developmental biology030220 oncology & carcinogenesisbusinessAlgorithmsDrug Discovery Today
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Data mining approaches to identify biomineralization related sequences.

2015

Proteomics is an efficient high throughput technique developed to identify proteins from a crude extract using sequence homology. Advances in Next Generation Sequencing (NGS) have led to increase knowledge of several non-model species. In the field of calcium carbonate biomineralization, the paucity of available sequences (such as the ones of mollusc shells) is still a bottleneck in most proteomic studies. Indeed, this technique needs proteins databases to find homology. The aim of this study was to perform different data mining approaches in order to identify novel shell proteins. To this end, we disposed of several publicly non-model molluscs databases. Previously identified molluscan she…

0301 basic medicineComputer scienceMechanical EngineeringProteomicscomputer.software_genre[ SDV.IB.BIO ] Life Sciences [q-bio]/Bioengineering/BiomaterialsBottleneckDNA sequencing[SDV.IB.BIO] Life Sciences [q-bio]/Bioengineering/Biomaterials03 medical and health sciencesAnnotation030104 developmental biologySequence homologyMechanics of Materials[ SDV.BBM.GTP ] Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]Shell matrix[SDV.BBM.GTP] Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]General Materials ScienceData miningKEGGcomputerComputingMilieux_MISCELLANEOUSBiomineralization
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A new parallel pipeline for DNA methylation analysis of long reads datasets

2017

Background DNA methylation is an important mechanism of epigenetic regulation in development and disease. New generation sequencers allow genome-wide measurements of the methylation status by reading short stretches of the DNA sequence (Methyl-seq). Several software tools for methylation analysis have been proposed over recent years. However, the current trend is that the new sequencers and the ones expected for an upcoming future yield sequences of increasing length, making these software tools inefficient and obsolete. Results In this paper, we propose a new software based on a strategy for methylation analysis of Methyl-seq sequencing data that requires much shorter execution times while…

0301 basic medicineComputer scienceParallel pipelineADN02 engineering and technologycomputer.software_genreBiochemistrySensitivity and SpecificityDNA sequencingEpigenesis Genetic03 medical and health scienceschemistry.chemical_compoundStructural BiologyRNA analysisInformàticaDatabases Genetic0202 electrical engineering electronic engineering information engineeringHumansEpigeneticsMolecular Biology020203 distributed computingDNA methylationGenome HumanApplied MathematicsParallel pipelineMethylationSequence Analysis DNASupercomputerComputer Science ApplicationsGenòmica030104 developmental biologychemistryGene Expression RegulationDNA methylationMutationData miningHigh performance computingDNA microarraycomputerSequence AlignmentDNASoftware
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