Search results for "lcsh:Biotechnology"

showing 10 items of 126 documents

An initial comparative map of copy number variations in the goat (Capra hircus) genome

2010

Abstract Background The goat (Capra hircus) represents one of the most important farm animal species. It is reared in all continents with an estimated world population of about 800 million of animals. Despite its importance, studies on the goat genome are still in their infancy compared to those in other farm animal species. Comparative mapping between cattle and goat showed only a few rearrangements in agreement with the similarity of chromosome banding. We carried out a cross species cattle-goat array comparative genome hybridization (aCGH) experiment in order to identify copy number variations (CNVs) in the goat genome analysing animals of different breeds (Saanen, Camosciata delle Alpi,…

BreedingGenomePolymerase Chain ReactionSettore AGR/17 - Zootecnica Generale E Miglioramento GeneticoMOUSE STRAINSChromosome regionsCapra hircusGOATCopy-number variationANGORA-GOATSGENE-EXPRESSIONGenetics0303 health sciencesComparative Genomic HybridizationGenomeGoatsChromosome Mapping04 agricultural and veterinary sciencesBovine genomeDatabases Nucleic AcidBiotechnologyResearch Articlelcsh:QH426-470DNA Copy Number VariationsSEGMENTAL DUPLICATIONSlcsh:BiotechnologyMolecular Sequence DataBiologyFluorescenceStructural variationPRODUCTION TRAITSBirds03 medical and health sciencesFAMILY BOVIDAEGene mappinglcsh:TP248.13-248.65Sequence Homology Nucleic AcidGeneticsFINE-SCALEAnimalsHumansFalse Positive Reactions030304 developmental biologyCOPY NUMBER VARIATION0402 animal and dairy scienceReproducibility of Results040201 dairy & animal scienceChromosomes MammalianDNA-SEQUENCESSTRUCTURAL VARIATIONlcsh:GeneticsCANDIDATE LOCIcopy number variation goatsCattleComparative genomic hybridizationBMC Genomics
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7C: Computational Chromosome Conformation Capture by Correlation of ChIP-seq at CTCF motifs.

2019

Abstract Background Knowledge of the three-dimensional structure of the genome is necessary to understand how gene expression is regulated. Recent experimental techniques such as Hi-C or ChIA-PET measure long-range chromatin interactions genome-wide but are experimentally elaborate, have limited resolution and such data is only available for a limited number of cell types and tissues. Results While ChIP-seq was not designed to detect chromatin interactions, the formaldehyde treatment in the ChIP-seq protocol cross-links proteins with each other and with DNA. Consequently, also regions that are not directly bound by the targeted TF but interact with the binding site via chromatin looping are…

CCCTC-Binding Factorlcsh:QH426-470Protein Conformationlcsh:Biotechnologygenetic processesComputational biologyBiologyGenomeChromosomesBioconductorChromosome conformation capture03 medical and health sciences0302 clinical medicine6CHi-Clcsh:TP248.13-248.65GeneticsTranscription factorsHumansnatural sciencesNucleotide Motifs4CChIA-PET030304 developmental biologyChromatin loops0303 health sciencesThree-dimensional genome architectureChromatinChromatinChIP-seq7Clcsh:Genetics5CCTCFChromatin Immunoprecipitation SequencingHuman genomeDNA microarrayChIA-PET3CPrediction030217 neurology & neurosurgeryChromatin interactionsBiotechnologyHeLa CellsResearch ArticleBMC genomics
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On the Interaction between 1D Materials and Living Cells

2020

One-dimensional (1D) materials allow for cutting-edge applications in biology, such as single-cell bioelectronics investigations, stimulation of the cellular membrane or the cytosol, cellular capture, tissue regeneration, antibacterial action, traction force investigation, and cellular lysis among others. The extraordinary development of this research field in the last ten years has been promoted by the possibility to engineer new classes of biointerfaces that integrate 1D materials as tools to trigger reconfigurable stimuli/probes at the sub-cellular resolution, mimicking the in vivo protein fibres organization of the extracellular matrix. After a brief overview of the theoretical models r…

Cellular membraneMaterials sciencelcsh:BiotechnologyBiomedical EngineeringTheoretical modelsregenerative medicineNanotechnologyBiointerface02 engineering and technologyReviewbioelectronics010402 general chemistry01 natural sciencesRegenerative medicineBiomaterials1D materialsbiointerfacelcsh:TP248.13-248.651D materials CNTs bioelectronics biointerface photocatalysis polymers regenerative medicineMicroscale chemistrypolymerslcsh:R5-920BioelectronicsCNTs021001 nanoscience & nanotechnology0104 chemical sciencesProtein fibreslcsh:Medicine (General)0210 nano-technologyphotocatalysisMaterial chemistryJournal of Functional Biomaterials
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Expression profiling of prospero in the Drosophila larval chemosensory organ: Between growth and outgrowth

2010

AbstractBackgroundThe antenno-maxilary complex (AMC) forms the chemosensory system of theDrosophilalarva and is involved in gustatory and olfactory perception. We have previously shown that a mutant allele of the homeodomain transcription factor Prospero (prosVoila1,V1), presents several developmental defects including abnormal growth and altered taste responses. In addition, many neural tracts connecting the AMC to the central nervous system (CNS) were affected. Our earlier reports on larval AMC did not argue in favour of a role ofprosin cell fate decision, but strongly suggested thatproscould be involved in the control of other aspect of neuronal development. In order to identify these fu…

Central Nervous SystemMESH : Transcription FactorsMESH: DrosophilaOF-FUNCTION SCREEN;MUSCA-DOMESTICA L;HOUSE-FLY LARVA;FINE-STRUCTURE;AXON GUIDANCE;TRANSCRIPTION FACTOR;PATTERN-FORMATION;GENETIC-ANALYSIS;NERVOUS-SYSTEMGenes InsectMESH: Genes InsectAXON GUIDANCEMUSCA-DOMESTICA L0302 clinical medicineMESH: Gene Expression Regulation DevelopmentalCluster AnalysisDrosophila ProteinsMESH: AnimalsTRANSCRIPTION FACTORMESH: Nerve Tissue ProteinsMESH : Nerve Tissue ProteinsOF-FUNCTION SCREENOligonucleotide Array Sequence AnalysisGenetics0303 health sciencesMESH : Central Nervous SystemMicrobiology and ParasitologyMESH : Genes InsectGene Expression Regulation DevelopmentalNuclear ProteinsMESH: Transcription FactorsNull alleleMicrobiologie et ParasitologieMESH : Oligonucleotide Array Sequence Analysis[ SDV.BBM.GTP ] Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]Larva[SDV.BBM.GTP] Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]DrosophilaDrosophila ProteinResearch ArticleBiotechnologylcsh:QH426-470MESH: Drosophila Proteinslcsh:BiotechnologyNerve Tissue ProteinsBiotechnologiesBiology03 medical and health sciencesMESH: Gene Expression ProfilingGENETIC-ANALYSIS[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]lcsh:TP248.13-248.65GeneticsAnimalsMESH : Cluster AnalysisMESH: Central Nervous SystemAlleleMESH : DrosophilaAlleles030304 developmental biologyMESH : LarvaMicroarray analysis techniquesHOUSE-FLY LARVAGene Expression ProfilingMESH : Gene Expression ProfilingMESH: AllelesWild typeMESH : Nuclear ProteinsProsperobiology.organism_classificationMESH : Drosophila ProteinsMESH: Cluster AnalysisNERVOUS-SYSTEMGene expression profilinglcsh:GeneticsMESH: Oligonucleotide Array Sequence AnalysisHomeoboxMESH : AnimalsMESH : Gene Expression Regulation DevelopmentalMESH : AllelesMESH: Nuclear ProteinsMESH: Larva030217 neurology & neurosurgeryTranscription FactorsPATTERN-FORMATIONFINE-STRUCTURE
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Adversarial reverse mapping of condensed-phase molecular structures: Chemical transferability

2021

Switching between different levels of resolution is essential for multiscale modeling, but restoring details at higher resolution remains challenging. In our previous study we have introduced deepBackmap: a deep neural-network-based approach to reverse-map equilibrated molecular structures for condensed-phase systems. Our method combines data-driven and physics-based aspects, leading to high-quality reconstructed structures. In this work, we expand the scope of our model and examine its chemical transferability. To this end, we train deepBackmap solely on homogeneous molecular liquids of small molecules, and apply it to a more challenging polymer melt. We augment the generator's objective w…

Chemical Physics (physics.chem-ph)Work (thermodynamics)Materials sciencelcsh:BiotechnologyTransferabilityGeneral EngineeringPhase (waves)FOS: Physical sciencesComputational Physics (physics.comp-ph)Resolution (logic)Multiscale modelinglcsh:QC1-999Physics - Chemical Physicslcsh:TP248.13-248.65General Materials ScienceRepresentation (mathematics)Reverse mappingBiological systemPhysics - Computational Physicslcsh:PhysicsGenerator (mathematics)APL Materials
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Transmetabolism: the non‐conformist approach to biotechnology

2021

Research work of the author is funded by Agencia Estatal de Investigación (AEI), Ministerio de Ciencia e Innovación (grant SETH ref. RTI2018-095584-B-C41-42-43-44 co-financed by ERDF) and the European Union H2020 (BioRobooST project ID 210491758; MIPLACE project ref. PCI2019-111845-2, Programación Conjunta Internacional 2019, AEI).

Conformistlcsh:Biotechnologylcsh:TP248.13-248.65BioengineeringEngineering ethicsSociologyCrystal BallApplied Microbiology and BiotechnologyBiochemistryBiotechnologyMicrobial Biotechnology
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Comparative genomics and proteomics of Helicobacter mustelae, an ulcerogenic and carcinogenic gastric pathogen

2010

Abstract Background Helicobacter mustelae causes gastritis, ulcers and gastric cancer in ferrets and other mustelids. H. mustelae remains the only helicobacter other than H. pylori that causes gastric ulceration and cancer in its natural host. To improve understanding of H. mustelae pathogenesis, and the ulcerogenic and carcinogenic potential of helicobacters in general, we sequenced the H. mustelae genome, and identified 425 expressed proteins in the envelope and cytosolic proteome. Results The H. mustelae genome lacks orthologs of major H. pylori virulence factors including CagA, VacA, BabA, SabA and OipA. However, it encodes ten autotransporter surface proteins, seven of which were detec…

DNA BacterialProteomicslcsh:QH426-470Proteomelcsh:BiotechnologyMolecular Sequence DataVirulenceCarcinogenicHelicobacter mustelaeProteomicsFN555004MicrobiologyUlcerogenic03 medical and health sciencesBacterial ProteinsHelicobacterlcsh:TP248.13-248.65medicineGeneticsCagAHelicobacterAmino Acid SequencePhylogeny030304 developmental biology0303 health sciencesComparative Genomic HybridizationbiologyHelicobacter pyloriVirulence030306 microbiologyCancerGene Expression Regulation BacterialGenomicsSequence Analysis DNAHelicobacter pylorimedicine.diseasebiology.organism_classificationdigestive system diseases3. Good healthlcsh:GeneticsProteomeGastritismedicine.symptomSequence AlignmentH. pyloriGenome BacterialBiotechnologyResearch ArticleBMC Genomics
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Enhanced nanoscopy of individual CsPbBr3 perovskite nanocrystals using dielectric sub-micrometric antennas

2020

We demonstrate an efficient, simple, and low-cost approach for enhanced nanoscopy in individual green emitting perovskite (CsPbBr3) nanocrystals via TiO2 dielectric nanoantenna. The observed three- to five-fold emission enhancement is attributed to near-field effects and emission steering promoted by the coupling between the perovskite nanocrystals and the dielectric sub-micrometric antennas. The dark-field scattering configuration is then exploited for surface-enhanced absorption measurements, showing a large increase in detection sensitivity, leading to the detection of individual nanocrystals. Due to the broadband spectral response of the Mie sub-micrometric antennas, the method can be e…

Detection sensitivityMaterials sciencelcsh:BiotechnologyCesium compoundsPhysics::Optics02 engineering and technologyDielectricPerovskiteLead compoundsperovskite solar cells01 natural sciences7. Clean energyCondensed Matter::Materials Sciencenanocrystalslcsh:TP248.13-248.650103 physical sciencesEnhanced absorptionSemiconductor quantum dotsElectronic transitionGeneral Materials Science[SPI.NANO]Engineering Sciences [physics]/Micro and nanotechnologies/MicroelectronicsAbsorption (electromagnetic radiation)perovskitePerovskite (structure)010302 applied physicsScatteringbusiness.industryGeneral Engineering021001 nanoscience & nanotechnologylcsh:QC1-999NanocrystalsNear field effectNanocrystalAtomic electron transitionQuantum dotOptoelectronicsTitanium dioxideAntennasDark-field scatteringsLow cost approachPhotonics0210 nano-technologybusinessOrganic moleculeslcsh:PhysicsBromine compoundsEmission enhancement
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PURIFICATION OF HARDWOOD-DERIVED AUTOHYDROLYSATES

2012

Carbohydrate-containing hydrolysates (1.1 to 14.9% of wood dry matter) obtained from autohydrolysis (at 130 to 150°C for 30 to 120 minutes) of birch (Betula pendula) chips prior to pulping were purified with respect to non-carbohydrate materials, without carbohydrate losses, either by ethyl acetate extraction or XAD-4 resin treatment. In the former case, about 50% of lignin and practically all the furanoic compounds (2-furaldehyde and 5-(hydroxymethyl)furfural) could be removed, whereas in the latter case, the corresponding amounts were about 30% and 50 to 90%, respectively. A partial recovery of various unsaturated impurities is of importance, because they may act as inhibitors when bioche…

Environmental EngineeringChromatographylcsh:BiotechnologyExtraction (chemistry)Ethyl acetateEthyl acetateBioengineeringFurfuralHydrolysatechemistry.chemical_compoundchemistryAutohydrolysisBiorefininglcsh:TP248.13-248.65HardwoodLigninOrganic chemistryDry matterHydroxymethylBiorefiningBiomassWaste Management and DisposalXAD-4PurificationBioResources
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Chemical composition of lipophilic extractives from grey alder (Alnus incana)

2013

The chemical composition of the lipophilic extractives in the hexane extracts from grey alder bark, knotwood, and cones has been investigated by gas chromatography and gas chromatography-mass spectrometry. The efficiency of two extraction methods was compared. The highest amount of lipophilic extractives (about 9% of o.d. material) was observed in grey alder cone, while the lowest (about 3%) was found in knotwood. The three different morphological parts of alder showed significant differences not only in the content but also in composition of extractives, namely fatty acids, triglycerides, and triterpenes. The main identified compounds were triterpenoids (lupen-3-one, lupeol, betulone, betu…

Environmental EngineeringLinoleic acidKnotwoodlcsh:BiotechnologyBioengineeringAlderGrey alderTerpeneBarkchemistry.chemical_compoundBetulinic acidlcsh:TP248.13-248.65Organic chemistryWaste Management and DisposalChemical compositionLupeolLipophilic extractivesAlnus incanaChromatographybiologyChemistrybiology.organism_classificationvisual_artConesvisual_art.visual_art_mediumBarkLupane triterpenoids
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