Search results for "Electrophoretic techniques"

showing 2 items of 2 documents

The shell of the invasive bivalve species Dreissena polymorpha: biochemical, elemental and textural Investigations.

2016

28 pages; International audience; The zebra mussel Dreissena polymorpha is a well-established invasive model organism. Although extensively used in environmental sciences, virtually nothing is known of the molecular process of its shell calcification. By describing the microstructure, geochemistry and biochemistry/proteomics of the shell, the present study aims at promoting this species as a model organism in biomineralization studies, in order to establish a bridge with ecotoxicology, while sketching evolutionary conclusions. The shell of D. polymorpha exhibits the classical crossed-lamellar/complex crossed lamellar combination found in several heterodont bivalves, in addition to an extern…

0301 basic medicinelcsh:MedicineInvasive Species010501 environmental sciencesProteomicsEcotoxicology01 natural sciencesBiochemistrychemistry.chemical_compoundDatabase and Informatics MethodsMaterials PhysicsLectinsMusselslcsh:ScienceMicrostructureGel ElectrophoresisStainingMineralsMultidisciplinarybiologyOrganic CompoundsPhysicsMonosaccharidesBiological EvolutionEuropeChemistry[ SDV.BBM.GTP ] Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]Physical SciencesFranceSequence AnalysisResearch ArticleSilver StainingBivalvesMaterials ScienceShell (structure)CarbohydratesSequence DatabasesElectrophoretic StainingResearch and Analysis MethodsDreissenaDreissenaCoomassie Blue staining03 medical and health sciencesElectrophoretic TechniquesSpecies ColonizationAnimal Shells[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]Botany[SDV.BBM] Life Sciences [q-bio]/Biochemistry Molecular BiologyEcotoxicologyAnimals[SDV.BBM]Life Sciences [q-bio]/Biochemistry Molecular Biology14. Life underwaterShell calcificationMolecular Biology TechniquesSequencing Techniques[SDV.IB.BIO]Life Sciences [q-bio]/Bioengineering/BiomaterialsMolecular Biology[ SDV.BBM ] Life Sciences [q-bio]/Biochemistry Molecular Biology0105 earth and related environmental scienceslcsh:ROrganic ChemistryEcology and Environmental SciencesOrganismsChemical CompoundsBiology and Life SciencesProteinsMolluscs[ SDV.IB.BIO ] Life Sciences [q-bio]/Bioengineering/Biomaterialsbiology.organism_classificationInvertebrates030104 developmental biologyCalcium carbonateBiological DatabaseschemistrySpecimen Preparation and TreatmentZebra mussellcsh:QIntroduced SpeciesBiomineralization
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A Monte Carlo Study of Knots in Long Double-Stranded DNA Chains.

2016

We determine knotting probabilities and typical sizes of knots in double-stranded DNA for chains of up to half a million base pairs with computer simulations of a coarse-grained bead-stick model: Single trefoil knots and composite knots which include at least one trefoil as a prime factor are shown to be common in DNA chains exceeding 250,000 base pairs, assuming physiologically relevant salt conditions. The analysis is motivated by the emergence of DNA nanopore sequencing technology, as knots are a potential cause of erroneous nucleotide reads in nanopore sequencing devices and may severely limit read lengths in the foreseeable future. Even though our coarse-grained model is only based on …

PolymersMaterials by StructureMolecular biologyMaterials ScienceElectrophoretic techniquesDNA electrophoresisNucleotide SequencingMolecular Dynamics SimulationBiochemistryNanoporesSequencing techniquesMathematical and Statistical Techniquesstomatognathic systemGeneticsBiochemical SimulationsNanotechnologyDNA sequencingMaterials by AttributeNanomaterialsQuantitative Biology::BiomoleculesBiology and life sciencesMathematical Modelsfood and beveragesComputational BiologyDNAPolymer ChemistryMathematics::Geometric TopologyResearch and analysis methodsNucleic acidsChemistrysurgical procedures operativeMolecular biology techniquesMacromoleculesRandom WalkPhysical SciencesNucleic Acid ConformationEngineering and TechnologyMonte Carlo MethodResearch ArticlePLoS computational biology
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