Search results for "Microarray Analysis"

showing 10 items of 109 documents

Identification of polymorphic variants associated with erlotinib-related skin toxicity in advanced non-small cell lung cancer patients by DMET microa…

2016

Purpose: Erlotinib is a targeted agent commonly used in advanced non-small cell lung cancer (aNSCLC). However, drug-related skin toxicity often may affect the quality of life of cancer patients and lead to treatment discontinuation. Genetic polymorphisms in drug transporters and metabolizing enzymes play a major role in the interindividual variability in terms of efficacy and toxicity of erlotinib treatment. The aim of our study was to identify genetic determinants in adsorption, distribution, metabolism, and excretion genes influencing skin rash (SR) by the novel drug-metabolizing enzyme and transporter (DMET) microarray Affymetrix platform in aNSCLC patients. Methods: In a retrospective s…

0301 basic medicineOncologyMaleCancer ResearchLung Neoplasmsgenetic structuresMicroarrayPharmacologyToxicologySkin rash.0302 clinical medicineNon-small cell lung cancerCarcinoma Non-Small-Cell LungGenotypePharmacology (medical)Erlotinib HydrochlorideCholecalciferolOligonucleotide Array Sequence AnalysisSkin rashMiddle AgedOncologyErlotinib030220 oncology & carcinogenesisFemaleErlotinibDrug Eruptionsmedicine.drugmedicine.medical_specialtyGenotypeSingle-nucleotide polymorphismAntineoplastic AgentsPolymorphism Single Nucleotide03 medical and health sciencesErlotinib HydrochlorideInternal medicinemedicineHumansLung cancerAgedRetrospective StudiesPharmacology25-Hydroxyvitamin D3 1-alpha-HydroxylaseInflammationbusiness.industryMicroarray analysis techniquesCancerSingle nucleotide polymorphismsmedicine.diseaseSingle nucleotide polymorphism030104 developmental biologyDMETQuality of Lifebusiness
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Predictive and Prognostic Molecular Factors in Diffuse Large B-Cell Lymphomas.

2021

Diffuse large B-cell lymphoma (DLBCL) is the commonest form of lymphoid malignancy, with a prevalence of about 40% worldwide. Its classification encompasses a common form, also termed as “not otherwise specified” (NOS), and a series of variants, which are rare and at least in part related to viral agents. Over the last two decades, DLBCL-NOS, which accounts for more than 80% of the neoplasms included in the DLBCL chapter, has been the object of an increasing number of molecular studies which have led to the identification of prognostic/predictive factors that are increasingly entering daily practice. In this review, the main achievements obtained by gene expression profiling (with respect t…

0301 basic medicineOncologymedicine.medical_specialtydiagnosisdiffuse large B-cell lymphomaReviewSettore MED/08 - Anatomia Patologica03 medical and health sciences0302 clinical medicineInternal medicineDaily practicemedicineTumor MicroenvironmentHumanslcsh:QH301-705.5B celltherapybusiness.industryGene Expression ProfilingNot Otherwise SpecifiedHigh-Throughput Nucleotide SequencingGeneral Medicinemedicine.diseaseMicroarray AnalysisPrognosisLymphomaGene expression profilingdiagnosi030104 developmental biologymedicine.anatomical_structurelcsh:Biology (General)Lymphoid malignancyclassification030220 oncology & carcinogenesisnext-generation sequencingLymphoma Large B-Cell DiffusebusinessDiffuse large B-cell lymphomaprognosiCells
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Viral fitness correlates with the magnitude and direction of the perturbation induced in the host’s transcriptome: the tobacco etch Potyvirus—tobacco…

2018

Determining the fitness of viral genotypes has become a standard practice in virology as it is essential to evaluate their evolutionary potential. Darwinian fitness, defined as the advantage of a given genotype with respect to a reference one, is a complex property that captures, in a single figure, differences in performance at every stage of viral infection. To what extent does viral fitness result from specific molecular interactions with host factors and regulatory networks during infection? Can we identify host genes in functional classes whose expression depends on viral fitness? Here, we compared the transcriptomes of tobacco plants infected with seven genotypes of tobacco etch potyv…

0301 basic medicinePotyvirusViral fitnessGene ExpressionBiologyReal-Time Polymerase Chain ReactionHost-virus interactionModels BiologicalTranscriptome03 medical and health sciencesDarwinian FitnessTobaccoGene expressionGeneticsTranscriptomicsGeneMolecular BiologyDiscoveriesEcology Evolution Behavior and SystematicsPlant DiseasesNicotiana tabacum PotyvirusGeneticsNicotiana tabacumPotyvirusresponse to infection Systems biologyPotyvirusRNAMicroarray Analysisbiology.organism_classificationResponse to infectionVirus evolutionRNA silencing030104 developmental biologyViral evolutionHost-Pathogen InteractionsTEVGenetic FitnessTranscriptomeSystems biologyHost–virus interaction
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Cancer stem cell-based models of colorectal cancer reveal molecular determinants of therapy resistance

2016

Abstract Colorectal cancer (CRC) therapy mainly relies on the use of conventional chemotherapeutic drugs combined, in a subset of patients, with epidermal growth factor receptor [EGFR]-targeting agents. Although CRC is considered a prototype of a cancer stem cell (CSC)-driven tumor, the effects of both conventional and targeted therapies on the CSC compartment are largely unknown. We have optimized a protocol for colorectal CSC isolation that allowed us to obtain CSC-enriched cultures from primary tumor specimens, with high efficiency. CSC isolation was followed by in vitro and in vivo validation, genetic characterization, and drug sensitivity analysis, thus generating panels of CSC lines w…

0301 basic medicineProteomicscancer stem cellsColorectal cancerDrug ResistanceMice SCIDAnti-EGFR therapy; Cancer stem cells; Cetuximab; Colorectal cancer; Proteomic arrays; Animals; Cells Cultured; Colorectal Neoplasms; Drug Resistance Neoplasm; Female; Gene Expression Profiling; Humans; Mice Inbred NOD; Mice SCID; Mice Transgenic; Microarray Analysis; Models Biological; Neoplastic Stem Cells; Protein Kinase Inhibitors; Proteomics; Signal Transduction; Developmental Biology; Cell BiologyTransgenicMiceMice Inbred NODModelsproteomic arrayscetuximabcell biologyEpidermal growth factor receptorCells CulturedCulturedCetuximabbiologyGeneral MedicinePrimary tumorNeoplastic Stem CellsFemaleSettore MED/46 - Scienze Tecniche Di Medicina Di LaboratorioStem cellColorectal Neoplasmsmedicine.drugSignal TransductionCellsMice Transgeniccolorectal cancerSCIDModels Biological03 medical and health sciencesdevelopmental biologyProteomic arrayCancer stem cellIn vivoSettore MED/04 - PATOLOGIA GENERALEmedicineAnimalsHumansProtein Kinase InhibitorsSettore MED/06 - ONCOLOGIA MEDICAMicroarray analysis techniquesbusiness.industryCancer stem cellGene Expression Profilingmedicine.diseaseMicroarray AnalysisBiological030104 developmental biologyanti-EGFR therapyDrug Resistance Neoplasmanti-EGFR therapy; cancer stem cells; cetuximab; colorectal cancer; proteomic arrays; cell biology; developmental biologyImmunologyCancer researchbiology.proteinNeoplasmInbred NODbusiness
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Regulatory network analysis in estradiol-treated human endothelial cells.

2021

Background/Aims: Estrogen has been reported to have beneficial effects on vascular biology through direct actions on endothelium. Together with transcription factors, miRNAs are the major drivers of gene expression and signaling networks. The objective of this study was to identify a com-prehensive regulatory network (miRNA-transcription factor-downstream genes) that controls the transcriptomic changes observed in endothelial cells exposed to estradiol. Methods: miR-NA/mRNA interactions were assembled using our previous microarray data of human umbilical vein endothelial cells (HUVEC) treated with 17ß- Estradiol (E2) (1 nmol/lL, 24 h). miRNA--mRNA pairings and their associated canonical pat…

0301 basic medicineQH301-705.5FisiologiaBiologyCatalysisArticleInorganic Chemistry03 medical and health sciences0302 clinical medicineGene expressionCadherin bindingHuman Umbilical Vein Endothelial CellsHumansGene Regulatory NetworksRNA MessengerPhysical and Theoretical ChemistryBiology (General)Molecular BiologyTranscription factorQD1-999Spectroscopytranscription factormiRNAEstradiolMicroarray analysis techniquesOrganic ChemistryPromoterEstrogensGeneral Medicineendothelial cellsComputer Science ApplicationsCell biologyDNA binding siteChemistryMicroRNAs030104 developmental biology030220 oncology & carcinogenesisCell adhesion molecule bindingTRANSFACTranscriptome
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Monitoring few molecular binding events in scalable confined aqueous compartments by raster image correlation spectroscopy (CADRICS)

2016

The assembly of scalable liquid compartments for binding assays in array formats constitutes a topic of fundamental importance in life sciences. This challenge can be addressed by mimicking the structure of cellular compartments with biological native conditions. Here, inkjet printing is employed to develop up to hundreds of picoliter aqueous droplet arrays stabilized by oil-confinement with mild surfactants (Tween-20). The aqueous environments constitute specialized compartments in which biomolecules may exploit their function and a wide range of molecular interactions can be quantitatively investigated. Raster Image Correlation Spectroscopy (RICS) is employed to monitor in each compartmen…

0301 basic medicineStreptavidinBiomedical EngineeringMolecular bindingBiotinBioengineeringNanotechnology02 engineering and technologydroplets microarrays inkjet printing Raster Image Correlation Spectroscopy water-in-oil emulsion StreptvidinBiochemistry03 medical and health scienceschemistry.chemical_compoundCompartment (pharmacokinetics)Cellular compartmentchemistry.chemical_classificationAqueous solutionSpectrum AnalysisBiomoleculeWaterGeneral Chemistrycomputer.file_formatMicroarray Analysis021001 nanoscience & nanotechnology030104 developmental biologychemistryPrintingInkStreptavidinRaster graphics0210 nano-technologycomputerTwo-dimensional nuclear magnetic resonance spectroscopyLab on a Chip
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Finding the right biomarker for renal cell carcinoma (RCC): Nivolumab treatment induces the expression of specific peripheral lymphocyte microRNAs in…

2019

Abstract Background The variability of clinical response to immune checkpoint inhibitors in RCC patients makes necessary the discovery of predictive biomarkers for patient selection. Emerging evidence has revealed a multitude of silenced genes and deregulated signalling pathways. These findings point towards extensive microRNAs (miRNAs) regulation and imply epigenetic reprogramming as a key feature of RCC. The aim of this study was to analyze the peripheral lymphocyte miRNA expression profile in metastatic RCC patients undergoing nivolumab treatment, to identify a lymphocyte miRNA signature specifically expressed in patients with partial or complete response (RP; RC) >12 months. Methods miR…

0301 basic medicinebiologybusiness.industryMicroarray analysis techniquesLymphocyteHematologymedicine.disease03 medical and health sciences030104 developmental biology0302 clinical medicinemedicine.anatomical_structureOncologyRenal cell carcinoma030220 oncology & carcinogenesismicroRNAmedicinebiology.proteinCancer researchPTENBiomarker (medicine)NivolumabbusinessPI3K/AKT/mTOR pathwayAnnals of Oncology
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Long Non-coding Antisense RNA TNRC6C-AS1 Is Activated in Papillary Thyroid Cancer and Promotes Cancer Progression by Suppressing TNRC6C Expression

2018

Context: Evidences have shown the important role of long non-coding antisense RNAs in regulating its cognate sense gene in cancer biology. Objective: Investigate the regulatory role of a long non-coding antisense RNA TNRC6C-AS1 on its sense partner TNRC6C, and their effects on the aggressiveness and iodine-uptake ability of papillary thyroid cancer (PTC). Design: TNRC6C-AS1 was identified as the target long non-coding RNA in PTC by using microarray analysis and computational analysis. In vitro gain/loss-of-function experiments were performed to investigate the effects of TNRC6C-AS1 and TNRC6C on proliferation, apoptosis, migration, invasion and iodine-uptake ability of TPC1 cells. Expressio…

0301 basic medicinelong non-coding antisense RNAendocrine system diseasesEndocrinology Diabetes and MetabolismTNRC6C-AS1lcsh:Diseases of the endocrine glands. Clinical endocrinologyPapillary thyroid cancer03 medical and health sciencesEndocrinology0302 clinical medicineDownregulation and upregulationSense (molecular biology)medicinepapillary thyroid cancerTNRC6COriginal Researchiodine accumulationGene knockdownMessenger RNAlcsh:RC648-665ChemistryMicroarray analysis techniquesRNAmedicine.diseaseAntisense RNA030104 developmental biology030220 oncology & carcinogenesisCancer researchFrontiers in Endocrinology
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Gene expression changes responsible for lapatinib acquired resistance in HER2 positive gastric cancer cell lines: a microarray analysis

2017

Acquired resistanceOncologyCell culturebusiness.industryMicroarray analysis techniquesGene expressionCancer researchMedicineHematologybusinessLapatinibGastric cancer cellmedicine.drugAnnals of Oncology
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Stable changes in CD4+ T lymphocyte miRNA expression after exposure to HIV-1

2012

Abstract MicroRNAs (miRNAs) inhibit HIV-1 expression by either modulating host innate immunity or by directly interfering with viral mRNAs. We evaluated the expression of 377 miRNAs in CD4+ T cells from HIV-1 élite long-term nonprogressors (éLTNPs), naive patients, and multiply exposed uninfected (MEU) patients, and we observed that the éLTNP patients clustered with naive patients, whereas all MEU subjects grouped together. The discriminatory power of miRNAs showed that 21 miRNAs significantly differentiated éLTNP from MEU patients and 23 miRNAs distinguished naive from MEU patients, whereas only 1 miRNA (miR-155) discriminated éLTNP from naive patients. We proposed that miRNA expression ma…

AdultCD4-Positive T-LymphocytesMaleTime FactorsImmunologyHIV InfectionsHIV Envelope Protein gp120BiologyBiochemistryImmune systemmultiply exposed uninfectedmicroRNAHumansDroshamiRNAInnate immune systemélite long-term nonprogressorsGene Expression ProfilingCell BiologyHematologyT lymphocyteMiddle AgedViral LoadMicroarray AnalysisHIV-1; miRNA; CD4+ T cells; élite long-term nonprogressors; multiply exposed uninfected.CD4+ T cellsIn vitroMicroRNAsGene Expression RegulationCase-Control StudiesImmunologyHIV-1biology.proteinFemaleEx vivoDicerBlood
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