Search results for "script"

showing 10 items of 5143 documents

Polymorphisms within the ARNT2 and CX3CR1 Genes Are Associated with the Risk of Developing Invasive Aspergillosis.

2020

Invasive aspergillosis (IA) is a life-threatening infection that affects an increasing number of patients undergoing chemotherapy or allo-transplantation, and recent studies have shown that genetic factors contribute to disease susceptibility. In this two-stage, population-based, case-control study, we evaluated whether 7 potentially functional single nucleotide polymorphisms (SNPs) within the ARNT2 and CX3CR1 genes influence the risk of IA in high-risk hematological patients. We genotyped selected SNPs in a cohort of 500 hematological patients (103 of those had been diagnosed with proven or probable IA), and we evaluated their association with the risk of developing IA. The association of …

0301 basic medicinehost immunityGenotype030106 microbiologyImmunologyPopulationCX3C Chemokine Receptor 1Single-nucleotide polymorphismARNT2 ; CX3CR1 ; genetic susceptibility; host immunity; invasive aspergillosisBiologyAspergillosisMicrobiologyPolymorphism Single NucleotideRisk Assessment03 medical and health sciencesCX3CR1GenotypemedicineGenetic predispositionBasic Helix-Loop-Helix Transcription FactorsHumansGenetic Predisposition to DiseaseARNT2AlleleeducationInvasive Pulmonary Aspergillosiseducation.field_of_studyinvasive aspergillosisHaplotypeAryl Hydrocarbon Receptor Nuclear TranslocatorPCRAGA Study Groupmedicine.diseaseHematologic Diseases3. Good healthSettore MED/15 - MALATTIE DEL SANGUE030104 developmental biologyInfectious DiseasesAspergillusCase-Control StudiesExpression quantitative trait lociImmunologyParasitologygenetic susceptibility
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Histidine tracts in human transcription factors: insight into metal ion coordination ability

2017

Consecutive histidine repeats are chosen both by nature and by molecular biologists due to their high affinity towards metal ions. Screening of the human genome showed that transcription factors are extremely rich in His tracts. In this work, we examine two of such His-rich regions from forkhead box and MAFA proteins—MB3 (contains 18 His) and MB6 (with 21 His residues), focusing on the affinity and binding modes of Cu2+ and Zn2+ towards the two His-rich regions. In the case of Zn2+ species, the availability of imidazole nitrogen donors enhances metal complex stability. Interestingly, an opposite tendency is observed for Cu2+ complexes at above physiological pH, in which amide nitrogens part…

0301 basic medicineinorganic chemicalsMaf Transcription Factors LargeStereochemistryMetal ions in aqueous solutionPeptideNerve Tissue Proteins010402 general chemistry01 natural sciencesBiochemistryInorganic ChemistryMetal03 medical and health scienceschemistry.chemical_compoundCoordination ComplexesAmideImidazoleHomeostasisHumansHistidineAmino Acid SequenceTranscription factorHistidineLigand bindingchemistry.chemical_classificationOriginal PaperMass spectrometryForkhead Transcription FactorsHydrogen-Ion ConcentrationPeptide Fragments0104 chemical sciencesZinc030104 developmental biologyBinding affinitychemistryvisual_artPeptidevisual_art.visual_art_mediumThermodynamicsHuman genomeCopperProtein BindingJournal of Biological Inorganic Chemistry
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γδ T Cells and Tumor Microenvironment: From Immunosurveillance to Tumor Evasion.

2018

gamma delta T cells possess cytotoxic antitumor activity mediated by production of proinflammatory cytokines, direct cytotoxic activity, and regulation of the biological functions of other cell types. Hence, these features have prompted the development of therapeutic strategies in which gamma delta T cells agonists or ex vivo-expanded gamma delta T cells are administered to tumor patients. Several studies have shown that gamma delta T cells are an important component of tumor-infiltrating lymphocytes in patients affected by different types of cancer and a recent analysis of similar to 18,000 transcriptomes from 39 human tumors identified tumor-infiltrating.d T cells as the most significant …

0301 basic medicinelcsh:Immunologic diseases. AllergyCell typegamma delta T cellmedicine.medical_treatmentImmunologyReviewBiologycyototxicityProinflammatory cytokineTranscriptome03 medical and health sciences0302 clinical medicineImmune systemmedicineImmunology and AllergyCytotoxic T cellgamma delta T cellstumor microenvironmentTumor microenvironmentimmunosuppressionImmunotherapyImmunosurveillance030104 developmental biologyCancer researchimmunotherapylcsh:RC581-607030215 immunologyFrontiers in immunology
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Novel Insight Into the Molecular and Metabolic Mechanisms Orchestrating IL-17 Production in γδ T Cells

2019

Increasing evidence has demonstrated that IL-17-producing γδ T cells (γδ T17) play a tumor-promoting role in a series of cancers via various mechanisms in mice and human cancers, though the relationship between γδ T17 and human tumors has yet to be extensively characterized and established. Molecular signals such as intrinsic cascade, environmental cues and cellular metabolic pathways including nutrient uptake and utilization in γδ T17 cells are significantly important for their activation, differentiation, and function. Understanding the molecular mechanisms and metabolic pathways of γδ T17 cells in both the physiological setting and tumor environment would contribute to the development of…

0301 basic medicinelcsh:Immunologic diseases. Allergymedicine.medical_treatmentMini ReviewMetabolic reprogrammingImmunologyBiology03 medical and health sciences0302 clinical medicineCancer immunotherapyNeoplasmsmedicineTranscriptional regulationTumor MicroenvironmentImmunology and AllergyAnimalsHumansmetabolic reprogrammingtranscriptional regulationinnate immune cellsIntraepithelial Lymphocytescancer immunotherapyMicrobiotaInterleukin-17Immunotherapy3. Good healthCell biologyMetabolic pathway030104 developmental biologyInterleukin 17γδ T17 cellslcsh:RC581-607Function (biology)030215 immunologyFrontiers in Immunology
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The Unfolded Protein Response Plays a Predominant Homeostatic Role in Response to Mitochondrial Stress in Pancreatic Stellate Cells.

2016

Activated pancreatic stellate cells (PaSC) are key participants in the stroma of pancreatic cancer, secreting extracellular matrix proteins and inflammatory mediators. Tumors are poorly vascularized, creating metabolic stress conditions in cancer and stromal cells that necessitate adaptive homeostatic cellular programs. Activation of autophagy and the endoplasmic reticulum unfolded protein response (UPR) have been described in hepatic stellate cells, but the role of these processes in PaSC responses to metabolic stress is unknown. We reported that the PI3K/mTOR pathway, which AMPK can regulate through multiple inputs, modulates PaSC activation and fibrogenic potential. Here, using primary a…

0301 basic medicinelcsh:MedicineApoptosisMitochondrionAMP-Activated Protein KinasesEndoplasmic ReticulumBiochemistrychemistry.chemical_compoundMiceeIF-2 KinasePhosphatidylinositol 3-Kinases0302 clinical medicineFluorescence MicroscopyCell SignalingTumor Microenvironment2.1 Biological and endogenous factorsSmall interfering RNAsAetiologylcsh:ScienceEnergy-Producing OrganellesCancerMice KnockoutMicroscopyMultidisciplinarySecretory PathwayCell DeathTOR Serine-Threonine KinasesLight MicroscopySignaling CascadesCell biologyMitochondriaNeoplasm ProteinsUp-RegulationNucleic acidsCell Processes030220 oncology & carcinogenesisCellular Structures and OrganellesResearch ArticleSignal TransductionProgrammed cell deathCell PhysiologyGeneral Science & TechnologyAutophagic Cell DeathKnockoutBiologyBioenergeticsResearch and Analysis MethodsStress Signaling Cascade03 medical and health sciencesGeneticsAutophagyAnimalsNon-coding RNAPancreasPI3K/AKT/mTOR pathwaylcsh:RAutophagyAMPKBiology and Life SciencesCell BiologyCell MetabolismGene regulationPancreatic NeoplasmsEnzyme Activation030104 developmental biologychemistryHepatic stellate cellUnfolded protein responseUnfolded Protein ResponseRNAlcsh:QGene expressionInterleukin-4Digestive DiseasesRottlerinTranscription Factor CHOP
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Unexpected associated microalgal diversity in the lichen Ramalina farinacea is uncovered by pyrosequencing analyses

2017

The current literature reveals that the intrathalline coexistence of multiple microalgal taxa in lichens is more common than previously thought, and additional complexity is supported by the coexistence of bacteria and basidiomycete yeasts in lichen thalli. This replaces the old paradigm that lichen symbiosis occurs between a fungus and a single photobiont. The lichen Ramalina farinacea has proven to be a suitable model to study the multiplicity of microalgae in lichen thalli due to the constant coexistence of Trebouxia sp. TR9 and T. jamesii in long-distance populations. To date, studies involving phycobiont diversity within entire thalli are based on Sanger sequencing, but this method see…

0301 basic medicinelcsh:MedicineLichenologyArtificial Gene Amplification and ExtensionPlant SciencePolymerase Chain ReactionDatabase and Informatics MethodsDiversity indexMicroalgaeCluster AnalysisDNA Fungallcsh:ScienceLichenPhylogenyData ManagementMultidisciplinaryEcologybiologyEcologyPhylogenetic AnalysisBiodiversitysymbiosisThallusPhylogeneticspyrosequencingLichenologyTrebouxiaSequence AnalysisResearch ArticleTrebouxiaComputer and Information SciencesBioinformaticsSequence DatabasesReal-Time Polymerase Chain ReactionResearch and Analysis MethodslichenRamalina farinacea03 medical and health sciencesAscomycotaAlgaelichen photobionts pyrosequencing symbiosis TrebouxiaBotanyEvolutionary SystematicsMolecular Biology TechniquesMolecular BiologyDNA sequence analysisTaxonomyEvolutionary BiologyEcology and Environmental Scienceslcsh:RGenetic VariationBiology and Life SciencesSequence Analysis DNAReverse Transcriptase-Polymerase Chain Reactionbiology.organism_classificationBiological Databases030104 developmental biologyphotobiontsPyrosequencinglcsh:QSequence AlignmentPLOS ONE
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Unveiling Sex-Based Differences in the Effects of Alcohol Abuse: A Comprehensive Functional Meta-Analysis of Transcriptomic Studies

2020

AbstractThe abuse of alcohol, one of the most popular psychoactive substances, can cause several pathological and psychological consequences, including alcohol use disorder (AUD). An impaired ability to stop or control alcohol intake despite adverse health or social consequences characterize AUD. While AUDs predominantly occur in men, growing evidence suggests the existence of distinct cognitive and biological consequences of alcohol dependence in women. The molecular and physiological mechanisms participating in these differential effects remain unknown. Transcriptomic technology permits the detection of the biological mechanisms responsible for such sex-based differences, which supports t…

0301 basic medicinelcsh:QH426-470Alcohol DrinkingAlcohol abuseAlcohol use disorderBioinformaticsArticleTranscriptome03 medical and health sciencestranscriptomics0302 clinical medicinealcohol use disordersmental disordersGeneticsmedicineHumansPathologicalGenetics (clinical)functional profilingbusiness.industryAlcohol dependenceCognitionmedicine.diseasemeta-analysislcsh:GeneticsAlcoholism030104 developmental biologyMeta-analysisAlcohol intakesex characteristicsTranscriptomebusiness030217 neurology & neurosurgerySex characteristicsGenes
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Methods for RNA Modification Mapping Using Deep Sequencing: Established and New Emerging Technologies

2019

New analytics of post-transcriptional RNA modifications have paved the way for a tremendous upswing of the biological and biomedical research in this field. This especially applies to methods that included RNA-Seq techniques, and which typically result in what is termed global scale modification mapping. In this process, positions inside a cell`s transcriptome are receiving a status of potential modification sites (so called modification calling), typically based on a score of some kind that issues from the particular method applied. The resulting data are thought to represent information that goes beyond what is contained in typical transcriptome data, and hence the field has taken to use …

0301 basic medicinelcsh:QH426-470Computer scienceProcess (engineering)Emerging technologieschemical treatmentNext Generation Sequencingengineered Reverse Transcriptase enzymesRNA-SeqReviewcomputer.software_genreDeep sequencingField (computer science)deep sequencing03 medical and health sciences0302 clinical medicineepitranscriptome[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]GeneticsAnimalsHumansRNA-SeqRNA Processing Post-TranscriptionalComputingMilieux_MISCELLANEOUSGenetics (clinical)Sequence Analysis RNAbusiness.industryScale (chemistry)High-Throughput Nucleotide Sequencing[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyRNA modificationTerm (time)lcsh:Genetics030104 developmental biologyAnalyticsRNAData miningbusinesscomputer030217 neurology & neurosurgeryGenes
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Manganese Ions Individually Alter the Reverse Transcription Signature of Modified Ribonucleosides

2020

Reverse transcription of RNA templates containing modified ribonucleosides transfers modification-related information as misincorporations, arrest or nucleotide skipping events to the newly synthesized cDNA strand. The frequency and proportion of these events, merged from all sequenced cDNAs, yield a so-called RT signature, characteristic for the respective RNA modification and reverse transcriptase (RT). While known for DNA polymerases in so-called error-prone PCR, testing of four different RTs by replacing Mg2+ with Mn2+ in reaction buffer revealed the immense influence of manganese chloride on derived RT signatures, with arrest rates on m1A positions dropping from 82% down to 24%. Additi…

0301 basic medicinelcsh:QH426-470DNA polymerasechemistry.chemical_elementManganeseSaccharomyces cerevisiaeRT signature[SDV.BBM.BM] Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biology01 natural sciencesArticle03 medical and health sciencesm1ARNA modificationsComplementary DNA[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]GeneticsNucleotidem<sup>1</sup>ABase PairingGenetics (clinical)PolymeraseComputingMilieux_MISCELLANEOUSchemistry.chemical_classificationIonsManganesebiology010405 organic chemistryRNARNA-Directed DNA Polymerase[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyreverse transcriptionMolecular biologyReverse transcriptase0104 chemical scienceslcsh:Genetics030104 developmental biologyTemplatechemistrybiology.proteinRNA[SDV.BBM.GTP] Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]Ribonucleosidesmanganese chloride
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Graphical Workflow System for Modification Calling by Machine Learning of Reverse Transcription Signatures

2019

Modification mapping from cDNA data has become a tremendously important approach in epitranscriptomics. So-called reverse transcription signatures in cDNA contain information on the position and nature of their causative RNA modifications. Data mining of, e.g. Illumina-based high-throughput sequencing data, is therefore fast growing in importance, and the field is still lacking effective tools. Here we present a versatile user-friendly graphical workflow system for modification calling based on machine learning. The workflow commences with a principal module for trimming, mapping, and postprocessing. The latter includes a quantification of mismatch and arrest rates with single-nucleotide re…

0301 basic medicinelcsh:QH426-470Downstream (software development)Computer scienceRT signatureMachine learningcomputer.software_genre[SDV.BBM.BM] Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyField (computer science)m1A03 medical and health sciencesRNA modifications0302 clinical medicineEpitranscriptomics[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]GeneticsTechnology and CodeGalaxy platformGenetics (clinical)ComputingMilieux_MISCELLANEOUSbusiness.industryPrincipal (computer security)[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyAutomationWatson–Crick faceVisualizationlcsh:Geneticsmachine learningComputingMethodologies_PATTERNRECOGNITION030104 developmental biologyWorkflow030220 oncology & carcinogenesisMolecular Medicine[SDV.BBM.GTP] Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]TrimmingArtificial intelligencebusinesscomputer
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