Search results for " microarray"

showing 10 items of 196 documents

Gene Expression (mRNA) Markers for Differentiating between Malignant and Benign Follicular Thyroid Tumours

2017

Distinguishing between follicular thyroid cancer (FTC) and follicular thyroid adenoma (FTA) constitutes a long-standing diagnostic problem resulting in equivocal histopathological diagnoses. There is therefore a need for additional molecular markers. To identify molecular differences between FTC and FTA, we analyzed the gene expression microarray data of 52 follicular neoplasms. We also performed a meta-analysis involving 14 studies employing high throughput methods (365 follicular neoplasms analyzed). Based on these two analyses, we selected 18 genes differentially expressed between FTA and FTC. We validated them by quantitative real-time polymerase chain reaction (qRT-PCR) in an independe…

0301 basic medicinePathologyMicroarrayThyroid Glandlaw.inventionlawFollicular phaseGene expressionAdenocarcinoma Follicularfollicular thyroid adenoma; follicular thyroid cancer; gene expression; microarray; meta-analysisSpectroscopyPolymerase chain reactionOligonucleotide Array Sequence Analysisfollicular thyroid cancerGeneral MedicineCANCERComputer Science ApplicationsGene Expression Regulation NeoplasticCARCINOMASFUSION ONCOGENEmicroarrayNEOPLASMSmedicine.medical_specialtyMOLECULAR MARKERSASPIRATIONBiologyCatalysisCLASSIFICATIONArticleInorganic Chemistry03 medical and health sciencesNODULESADENOMASmedicineBiomarkers TumorHumansRNA MessengerThyroid NeoplasmsPhysical and Theoretical ChemistryFollicular thyroid cancerMolecular BiologyGeneGene Expression ProfilingOrganic ChemistryThyroid adenomaACVRL1medicine.diseaseMODELmeta-analysis030104 developmental biologyfollicular thyroid adenomaMutationgene expressionInternational Journal of Molecular Sciences
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Vascular patterns provide therapeutic targets in aggressive neuroblastic tumors

2016

// Irene Tadeo 1 , Gloria Bueno 2 , Ana P. Berbegall 1 , M. Milagro Fernandez-Carrobles 2 , Victoria Castel 3 , Marcial Garcia-Rojo 4 , Samuel Navarro 1 , Rosa Noguera 1 1 Pathology Department, Medical School, University of Valencia, INCLIVA, 46010 Valencia, Spain 2 VISILAB, E.T.S. Ingenieros Industriales, University of Castilla-La Mancha, 13071 Ciudad Real, Spain 3 Pediatric Oncology Unit, University and Polytechnic Hospital La Fe, 46026 Valencia, Spain 4 Department of Pathology, Hospital de Jerez de la Frontera, 11407 Jerez de la Frontera, Cadiz, Spain Correspondence to: Rosa Noguera Salva, e-mail: rnoguera@uv.es Keywords: extracellular matrix, blood vessels, capillaries, sinusoids, neuro…

0301 basic medicinePathologymedicine.medical_specialtyAngiogenesisextracellular matrixMalignancyMetastasisblood vesselsNeuroblastoma03 medical and health sciencesneuroblastoma0302 clinical medicinePediatric oncologyMedicineHumansTumor growthcapillariesChildsinusoidsTissue microarrayNeovascularization Pathologicbusiness.industrymedicine.diseaseNeuroblastic Tumor030104 developmental biologyOncology030220 oncology & carcinogenesisCohortDisease ProgressionbusinessResearch Paper
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Pharmacogenomics of Scopoletin in Tumor Cells

2016

Drug resistance and the severe side effects of chemotherapy necessitate the development of novel anticancer drugs. Natural products are a valuable source for drug development. Scopoletin is a coumarin compound, which can be found in several Artemisia species and other plant genera. Microarray-based RNA expression profiling of the NCI cell line panel showed that cellular response of scopoletin did not correlate to the expression of ATP-binding cassette (ABC) transporters as classical drug resistance mechanisms (ABCB1, ABCB5, ABCC1, ABCG2). This was also true for the expression of the oncogene EGFR and the mutational status of the tumor suppressor gene, TP53. However, mutations in the RAS onc…

0301 basic medicinePharmaceutical ScienceATP-binding cassette transporterDrug resistancePharmacologycoumarinAnalytical Chemistrychemistry.chemical_compound0302 clinical medicineNeoplasmsDrug DiscoveryABC-transportermicroarraysNF-kappa BABCB5Drug Resistance MultipleGene Expression Regulation NeoplasticMolecular Docking SimulationDrug developmentChemistry (miscellaneous)030220 oncology & carcinogenesisherbal medicineMolecular MedicineSignal TransductionTumor suppressor geneProtein Array AnalysisBiologyArticlelcsh:QD241-44103 medical and health scienceslcsh:Organic chemistrymultidrug resistanceCell Line TumorScopoletinHumansPhysical and Theoretical ChemistryTranscription factorScopoletinOncogenePlant ExtractsOrganic ChemistryTranscription Factor RelAphytotherapy030104 developmental biologyArtemisiachemistryDrug Resistance NeoplasmPharmacogeneticsCancer researchABC-transporter; cluster analysis; coumarin; herbal medicine; microarrays; multidrug resistance; phytotherapyATP-Binding Cassette Transporterscluster analysisMolecules
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Neuroendocrine differentiation in a large series of genetically-confirmed Ewing’s sarcoma family tumor: Does it provide any diagnostic or prognostic …

2021

Given the potential for neuroendocrine differentiation in Ewing's sarcoma family of tumors (ESFT), we aimed to determine neuroendocrine expression in a large series of genetically-confirmed ESFT and its prognostic significance in clinically-localised neoplasms (n = 176). Slides prepared from tissue microarrays were stained for Insulinoma-associated protein 1 (INSM1), CD56, chromogranin-A and synaptophysin. INSM1 expression was present in 59% of ESFT, while synaptophysin, chromogranin-A and CD56 were expressed in only 13%, 8% and 5% of ESFT, respectively. Histological subtypes were only significantly correlated with INSM1 (p = 0.032) or CD56 (p = 0.016) immunoexpression. Regarding prognosis,…

0301 basic medicinePrognostic factorLung NeoplasmsSynaptophysinSarcoma EwingNeuroendocrine differentiationPathology and Forensic Medicine03 medical and health sciences0302 clinical medicineBiomarkers TumormedicineHumansTissue microarraybiologybusiness.industryEwing's sarcomaLarge seriesChromogranin ACell DifferentiationCell Biologymedicine.diseaseCarcinoma NeuroendocrineRepressor Proteins030104 developmental biology030220 oncology & carcinogenesisSynaptophysinbiology.proteinCancer researchSarcomabusinessPathology - Research and Practice
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Automated selection of homologs to track the evolutionary history of proteins

2018

Background The selection of distant homologs of a query protein under study is a usual and useful application of protein sequence databases. Such sets of homologs are often applied to investigate the function of a protein and the degree to which experimental results can be transferred from one organism to another. In particular, a variety of databases facilitates static browsing for orthologs. However, these resources have a limited power when identifying orthologs between taxonomically distant species. In addition, in some situations, for a given query protein, it is advantageous to compare the sets of orthologs from different specific organisms: this recursive step-wise search might give …

0301 basic medicineProteomeComputer scienceComputational biologyWeb toollcsh:Computer applications to medicine. Medical informaticsBiochemistryHomology (biology)Evolution Molecular03 medical and health sciences0302 clinical medicineProtein sequencingStructural BiologyHomologous chromosomeHumansDatabases ProteinMolecular Biologylcsh:QH301-705.5OrganismProtein functionMethodology ArticleApplied MathematicsProteinsA proteinComputer Science ApplicationsHomologyEvolutionary path030104 developmental biologyComputingMethodologies_PATTERNRECOGNITIONlcsh:Biology (General)Proteomelcsh:R858-859.7DNA microarraySoftware030217 neurology & neurosurgeryBMC Bioinformatics
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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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Blood group antigen A type 3 expression is a favorable prognostic factor in advanced NSCLC.

2015

Abstract Objectives Several blood group-related carbohydrate antigens are prognosis-relevant markers of tumor tissues. A type 3 (repetitive A) is a blood group antigen specific for A 1 erythrocytes. Its potential expression in tumor tissues has so far not been examined. Material and methods We have evaluated its expression in normal lung and in lung cancer using a novel antibody (A69-A/E8). For comparison an anti-A antibody specific to A types 1 and 2 was used, because its expression on lung cancer tissue has been previously reported to be of prognostic relevance. Resected tissue samples of 398 NSCLC patients were analyzed in immunohistochemistry using tissue microarrays. Results and conclu…

0301 basic medicinePulmonary and Respiratory MedicineOncologyMaleCancer Researchmedicine.medical_specialtyPathologyLung Neoplasms03 medical and health sciences0302 clinical medicineAntigenAntigens NeoplasmInternal medicineCarcinoma Non-Small-Cell LungmedicineBiomarkers TumorHumansLung cancerProspective cohort studyAgedTissue microarrayLungbiologyProportional hazards modelbusiness.industrymedicine.diseasePrognosisImmunohistochemistrySurvival Analysisrespiratory tract diseases030104 developmental biologymedicine.anatomical_structureOncologyTissue Array Analysis030220 oncology & carcinogenesisbiology.proteinBlood Group AntigensImmunohistochemistryFemaleAntibodybusinessLung cancer (Amsterdam, Netherlands)
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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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Accelerating metagenomic read classification on CUDA-enabled GPUs.

2016

Metagenomic sequencing studies are becoming increasingly popular with prominent examples including the sequencing of human microbiomes and diverse environments. A fundamental computational problem in this context is read classification; i.e. the assignment of each read to a taxonomic label. Due to the large number of reads produced by modern high-throughput sequencing technologies and the rapidly increasing number of available reference genomes software tools for fast and accurate metagenomic read classification are urgently needed. We present cuCLARK, a read-level classifier for CUDA-enabled GPUs, based on the fast and accurate classification of metagenomic sequences using reduced k-mers (…

0301 basic medicineTheoretical computer scienceWorkstationGPUsComputer scienceContext (language use)CUDAParallel computingBiochemistryGenomelaw.invention03 medical and health sciencesCUDAUser-Computer Interface0302 clinical medicineStructural BiologylawTaxonomic assignmentHumansMicrobiomeMolecular BiologyInternetXeonApplied MathematicsHigh-Throughput Nucleotide SequencingSequence Analysis DNAExact k-mer matchingComputer Science Applications030104 developmental biologyTitan (supercomputer)Metagenomics030220 oncology & carcinogenesisMetagenomicsDNA microarraySoftwareBMC bioinformatics
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Deep learning models for bacteria taxonomic classification of metagenomic data.

2018

Background An open challenge in translational bioinformatics is the analysis of sequenced metagenomes from various environmental samples. Of course, several studies demonstrated the 16S ribosomal RNA could be considered as a barcode for bacteria classification at the genus level, but till now it is hard to identify the correct composition of metagenomic data from RNA-seq short-read data. 16S short-read data are generated using two next generation sequencing technologies, i.e. whole genome shotgun (WGS) and amplicon (AMP); typically, the former is filtered to obtain short-reads belonging to a 16S shotgun (SG), whereas the latter take into account only some specific 16S hypervariable regions.…

0301 basic medicineTime FactorsDBNComputer scienceBiochemistryStructural BiologyRNA Ribosomal 16SDatabases Geneticlcsh:QH301-705.5Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazionibiologySettore INF/01 - InformaticaShotgun sequencingApplied MathematicsAmpliconClassificationComputer Science Applicationslcsh:R858-859.7DNA microarrayShotgunAlgorithmsCNN030106 microbiologyk-mer representationlcsh:Computer applications to medicine. Medical informaticsDNA sequencing03 medical and health sciencesMetagenomicDeep LearningMolecular BiologyBacteriaModels GeneticPhylumbusiness.industryDeep learningResearchReproducibility of ResultsPattern recognitionBiological classification16S ribosomal RNAbiology.organism_classificationAmpliconHypervariable region030104 developmental biologyTaxonlcsh:Biology (General)MetagenomicsMetagenomeArtificial intelligenceMetagenomicsNeural Networks ComputerbusinessClassifier (UML)BacteriaBMC bioinformatics
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