Search results for "Array"

showing 10 items of 1264 documents

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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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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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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MassARRAY determination of somatic oncogenic mutations in solid tumors: Moving forward to personalized medicine.

2016

This article will review the impact of the recently developed MassARRAY technology on our understanding of cancer biology and treatment. Analysis of somatic mutations is a useful tool in selecting personalized therapy, and for predicting the outcome of many solid tumors. Here, we review the literature on the application of MassARRAY technology (Sequenom Hamburg, Germany) to determine the mutation profile of solid tumors from patients. We summarize the use of commercially available panels of mutations - such as OncoCarta™ or other combinations - and their concordance with results obtained by using other technologies, such as next generation sequencing.

0301 basic medicineSomatic cellConcordanceComputational biologymedicine.disease_causeBioinformatics03 medical and health sciences0302 clinical medicineNeoplasmsMedicineHumansRadiology Nuclear Medicine and imagingCancer biologyPersonalized therapyPrecision MedicineOligonucleotide Array Sequence AnalysisMutationbusiness.industryHigh-Throughput Nucleotide SequencingGeneral MedicineOncogenesPrecision medicine030104 developmental biologyOncology030220 oncology & carcinogenesisMutationPersonalized medicinebusinessCancer treatment reviews
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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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Parallel and Space-Efficient Construction of Burrows-Wheeler Transform and Suffix Array for Big Genome Data

2016

Next-generation sequencing technologies have led to the sequencing of more and more genomes, propelling related research into the era of big data. In this paper, we present ParaBWT, a parallelized Burrows-Wheeler transform (BWT) and suffix array construction algorithm for big genome data. In ParaBWT, we have investigated a progressive construction approach to constructing the BWT of single genome sequences in linear space complexity, but with a small constant factor. This approach has been further parallelized using multi-threading based on a master-slave coprocessing model. After gaining the BWT, the suffix array is constructed in a memory-efficient manner. The performance of ParaBWT has b…

0301 basic medicineTheoretical computer scienceBurrows–Wheeler transformComputer scienceGenomicsData_CODINGANDINFORMATIONTHEORYParallel computingGenomelaw.invention03 medical and health scienceslawGeneticsHumansEnsemblMulti-core processorApplied MathematicsLinear spaceSuffix arrayChromosome MappingHigh-Throughput Nucleotide SequencingGenomicsSequence Analysis DNA030104 developmental biologyAlgorithmsBiotechnologyReference genomeIEEE/ACM Transactions on Computational Biology and Bioinformatics
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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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