Search results for "microarray"

showing 10 items of 401 documents

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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Differential Expression Profiles and Functional Prediction of Circular RNAs in Pediatric Dilated Cardiomyopathy

2020

Circular RNAs (circRNAs) have emerged as essential regulators and biomarkers in various diseases. To assess the different expression levels of circRNAs in pediatric dilated cardiomyopathy (PDCM) and explore their biological and mechanistic significance, we used RNA microarrays to identify differentially expressed circRNAs between three children diagnosed with PDCM and three healthy age-matched volunteers. The biological function of circRNAs was assessed with a circRNA–microRNA (miRNA)–mRNA interaction network constructed from Gene Ontology and the Kyoto Encyclopedia of Genes and Genomes. Differentially expressed circRNAs were validated by quantitative real-time polymerase chain reaction (qR…

0301 basic medicinecircular RNAs (circRNAs)gene expression profile (GEP)Microarray030204 cardiovascular system & hematologyBiologyBioinformaticsmedicine.disease_causeBiochemistry Genetics and Molecular Biology (miscellaneous)Biochemistrylaw.inventionAutoimmunity03 medical and health sciences0302 clinical medicinepediatric dilated cardiomyopathylawmicroRNAmedicineMolecular BiosciencesKEGGMolecular Biologylcsh:QH301-705.5Polymerase chain reactionOriginal ResearchRNAbiomarkersFold change030104 developmental biologylcsh:Biology (General)DNA microarraymicroarrayFrontiers in Molecular Biosciences
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Both Phenolic and Non-phenolic Green Tea Fractions Inhibit Migration of Cancer Cells.

2016

Green tea consumption is associated with chemoprevention of many cancer types. Fresh tea leaves are rich in polyphenolic catechins, which can constitute up to 30% of the dry leaf weight. While the polyphenols of green tea have been well investigated, it is still largely unknown, whether or not non-phenolic constituents also reveal chemopreventive and anti-metastatic effects. In this study, we investigated the effects of a fraction of green tea rich in phenolic compounds (PF), a non-phenolic fraction (NPF), which contains glyceroglycolipids (GGL), and a pure glyceroglycolipid compound isolated from the non-phenolic fraction in human cancer. Dried green tea leaves were extracted and applied t…

0301 basic medicinegreen tea03 medical and health sciences0302 clinical medicinenutrigenomicschemopreventionPharmacology (medical)TheaceaeCytotoxicityIC50Original ResearchPharmacologybiologyChemistrylcsh:RM1-950food and beveragesbiology.organism_classificationIn vitro030104 developmental biologylcsh:Therapeutics. PharmacologyBiochemistryCell culturePolyphenolSephadex030220 oncology & carcinogenesisCancer cellmicroarraytheaceaeFrontiers in pharmacology
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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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Can new immunoassay techniques improve bladder cancer diagnostics With protein biomarkers?

2021

The search for new diagnostic tests for cancer or ways to improve existing tests is primarily driven by the desire to identify the disease as early as possible. In this report, we summarize the current knowledge of the most promising diagnostic protein bladder cancer (BC) markers reported over the last decade. Unfortunately, analysis of published data suggests that a reliable, highly sensitive biomarker test-system based on ELISA for detecting BC has not yet been developed. The use of more sensitive assays to detect ultra-low concentrations of biomarkers not available for ELISA, could be very beneficial. Based on the literature and pilot experimental data, we conclude that a highly sensitiv…

0301 basic medicinemagnetic labelsMicroarrayProtein biomarkersComputational biologyBiochemistry Genetics and Molecular Biology (miscellaneous)Biochemistry03 medical and health sciences0302 clinical medicinemedicineMolecular Biosciencesimmunoassaylcsh:QH301-705.5Molecular BiologyBladder cancermedicine.diagnostic_testbusiness.industryCancerDiagnostic testprotein biomarkersmedicine.diseaseHighly sensitive030104 developmental biologylcsh:Biology (General)030220 oncology & carcinogenesisImmunoassayPerspectivebladder cancerBiomarker (medicine)businessmicroarrayFrontiers in Molecular Biosciences
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OSAnalyzer: A Bioinformatics Tool for the Analysis of Gene Polymorphisms Enriched with Clinical Outcomes.

2016

Background: The identification of biomarkers for the estimation of cancer patients’ survival is a crucial problem in modern oncology. Recently, the Affymetrix DMET (Drug Metabolizing Enzymes and Transporters) microarray platform has offered the possibility to determine the ADME (absorption, distribution, metabolism, and excretion) gene variants of a patient and to correlate them with drug-dependent adverse events. Therefore, the analysis of survival distribution of patients starting from their profile obtained using DMET data may reveal important information to clinicians about possible correlations among drug response, survival rate, and gene variants. Methods: In order to provide support …

0301 basic medicinepharmacogenomicoverall survivalBiomedical EngineeringDME genes; genotyping microarrays; overall survival; pharmacogenomics; progression-free survivalBioengineeringBiologyBioinformaticsBiochemistryArticlelcsh:Biochemistrygenotyping microarray03 medical and health sciencesmedicineOverall survivallcsh:QD415-436Progression-free survivalgenotyping microarraysAdverse effectSurvival rateGeneADMEpharmacogenomicsADME geneCancermedicine.diseaseADME genesgenotyping microarrays; ADME genes; pharmacogenomics; overall survival; progression-free survival030104 developmental biologyPharmacogenomicsprogression-free survivalBiotechnologyMicroarrays (Basel, Switzerland)
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Expression profile of genes involved in hydrogen sulphide liberation by Saccharomyces cerevisiae grown under different nitrogen concentrations

2009

AbstractThe present work aims to elucidate molecular mechanisms underlying hydrogen sulphide production in S. cerevisiae associated to nitrogen deficiency. To assess, at a genome-wide level, how the yeast strain adapted to the progressive nitrogen depletion and to nitrogen re-feeding, gene expression profiles were evaluated during fermentation at different nitrogen concentrations, using the DNA array technology. The results showed that most MET genes displayed higher expression values at the beginning of both control and N-limiting fermentation, just before the time at which the release of sulphide was observed. MET genes were downregulated when yeast stopped growing which could associate M…

0303 health sciencesbiologyChemistryNitrogen deficiencySaccharomyces cerevisiaebiology.organism_classificationYeast03 medical and health scienceschemistry.chemical_compound0302 clinical medicineBiosynthesisBiochemistry030220 oncology & carcinogenesisGene expressionGeneral Materials ScienceFermentationDNA microarrayGene030304 developmental biologyNature Precedings
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Transcriptómica de la infertilidad masculina

2012

La infertilidad es un problema cada vez más presente en la sociedad actual, especialmente por razones sociales como por ejemplo la postergación de la maternidad por parte de las parejas y en Europa se calcula que afecta alrededor de a 15% de parejas en edad reproductiva. Las causas de la infertilidad son muchas y pueden afectar a uno sólo de los miembros o a ambos, además su etiología es diversa y a veces es desconocida. Las técnicas de reproducción asistida nacieron como consecuencia de estos problemas acuciantes y desde sus inicios han ido mejorando e innovando para mejorar cada vez más sus tasas de éxito. El mayor éxito en estas técnicas radica en la investigación de los factores que int…

:CIENCIAS DE LA VIDA::Genética ::Otras [UNESCO]:CIENCIAS DE LA VIDA::Biología humana ::Genética humana [UNESCO]UNESCO::CIENCIAS DE LA VIDA::Fisiología humana ::Fisiología de la reproducción:CIENCIAS DE LA VIDA::Fisiología humana ::Fisiología de la reproducción [UNESCO]UNESCO::CIENCIAS DE LA VIDA::Biología humana ::Genética humanaespermiogramamicroarrayinfertilidadUNESCO::CIENCIAS DE LA VIDA::Genética ::Otras
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A hybrid short read mapping accelerator

2013

Background The rapid growth of short read datasets poses a new challenge to the short read mapping problem in terms of sensitivity and execution speed. Existing methods often use a restrictive error model for computing the alignments to improve speed, whereas more flexible error models are generally too slow for large-scale applications. A number of short read mapping software tools have been proposed. However, designs based on hardware are relatively rare. Field programmable gate arrays (FPGAs) have been successfully used in a number of specific application areas, such as the DSP and communications domains due to their outstanding parallel data processing capabilities, making them a compet…

:Engineering::Computer science and engineering [DRNTU]GenomeComputer sciencebusiness.industryApplied MathematicsMethodology ArticleChromosome MappingSequence Analysis DNABiochemistryComputer Science ApplicationsSoftwareComputer engineeringStructural BiologySensitivity (control systems)DNA microarraybusinessField-programmable gate arrayAlgorithmMolecular BiologySequence AlignmentDigital signal processingAlgorithmsSoftwareReference genomeBMC Bioinformatics
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An improvement of ComiR algorithm for microRNA target prediction by exploiting coding region sequences of mRNAs

2020

AbstractMicroRNA are small non-coding RNAs that post-transcriptionally regulate the expression levels of messenger RNAs. MicroRNA regulation activity depends on the recognition of binding sites located on mRNA molecules. ComiR is a web tool realized to predict the targets of a set of microRNAs, starting from their expression profile. ComiR was trained with the information regarding binding sites in the 3’utr region, by using a reliable dataset containing the targets of endogenously expressed microRNA in D. melanogaster S2 cells. This dataset was obtained by comparing the results from two different experimental approaches, i.e., inhibition, and immunoprecipitation of the AGO1 protein--a comp…

AGO1ImmunoprecipitationComputer sciencelcsh:Computer applications to medicine. Medical informaticsBiochemistryOpen Reading Frames03 medical and health sciences0302 clinical medicineStructural BiologymicroRNAMelanogasterAnimalsHumansCoding regionGene silencing3'UTRRNA MessengerBinding sitelcsh:QH301-705.5Molecular Biology030304 developmental biology0303 health sciencesMessenger RNAbiologyThree prime untranslated regionResearchApplied MathematicsmicroRNA target predictionbiology.organism_classificationComputer Science Applications3’UTRMicroRNAsDrosophila melanogasterlcsh:Biology (General)Coding regionlcsh:R858-859.7DNA microarrayDrosophila melanogasterAlgorithmAlgorithms030217 neurology & neurosurgeryBMC Bioinformatics
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