Search results for "Profiling"

showing 10 items of 881 documents

Biotin-Genomic Run-On (Bio-GRO): A High-Resolution Method for the Analysis of Nascent Transcription in Yeast

2016

Transcription is a highly complex biological process, with extensive layers of regulation, some of which remain to be fully unveiled and understood. To be able to discern the particular contributions of the several transcription steps it is crucial to understand RNA polymerase dynamics and regulation throughout the transcription cycle. Here we describe a new nonradioactive run-on based method that maps elongating RNA polymerases along the genome. In contrast with alternative methodologies for the measurement of nascent transcription, the BioGRO method is designed to minimize technical noise that arises from two of the most common sources that affect this type of strategies: contamination wi…

0301 basic medicinebiologySaccharomyces cerevisiaeRNARNA polymerase IIComputational biologybiology.organism_classificationGene expression profiling03 medical and health scienceschemistry.chemical_compound030104 developmental biologychemistryTranscription (biology)RNA polymerasebiology.proteinDNA microarrayPolymerase
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De novo transcriptome assembly of a facultative parasitic nematode Pelodera (syn. Rhabditis) strongyloides

2018

Pelodera strongyloides is a generally free-living gonochoristic facultative nematode. The whole genomic sequence of P. strongyloides remains unknown but 4 small subunit ribosomal RNA (ssrRNA) gene sequences are available. This project launched a de novo transcriptome assembly with 100 bp paired-end RNA-seq reads from normal, starved and wet-plate cultured animals. Trinity assembly tool generated 104,634 transcript contigs with N50 contig being 2195 bp and average contig length at 1103 bp. Transcriptome BLASTX matching results of five nematodes (C. elegans, Strongyloides stercoralis, Necator americanus, Trichuris trichiura, and Pristionchus pacificus) were consistent with their evolutionary …

0301 basic medicinedauerDe novo transcriptome assemblyved/biology.organism_classification_rank.speciestranscriptome assemblyTranscriptomeEvolution Molecular03 medical and health scienceschemistry.chemical_compoundContig Mapping0302 clinical medicineRNA polymerasefacultative parasiteloisetGeneticsPelodera strongyloidesAnimalsGenePhylogenyGeneticsbiologyved/biologySequence Analysis RNAGene Expression ProfilingsukkulamadotstarvationGeneral MedicineHelminth ProteinsRibosomal RNAbiology.organism_classification030104 developmental biologyPristionchus pacificuschemistryGene Expression Regulationtranskriptio (biologia)030220 oncology & carcinogenesisStrongyloidesbiology.proteinRNARhabditoideaDicer
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Intra-tumour heterogeneity of diffuse large B-cell lymphoma involves the induction of diversified stroma-tumour interfaces

2020

Abstract Background Intra-tumour heterogeneity in lymphoid malignancies encompasses selection of genetic events and epigenetic regulation of transcriptional programs. Clonal-related neoplastic cell populations are unsteadily subjected to immune editing and metabolic adaptations within different tissue microenvironments. How tissue-specific mesenchymal cells impact on the diversification of aggressive lymphoma clones is still unknown. Methods Combining in situ quantitative immunophenotypical analyses and RNA sequencing we investigated the intra-tumour heterogeneity and the specific mesenchymal modifications that are associated with A20 diffuse large B-cell lymphoma (DLBCL) cells seeding of d…

0301 basic medicinediffuse large B-cell lymphoma; digital spatial profiling; intra-tumour heterogeneity; microenvironment; SPARClcsh:MedicineMice0302 clinical medicineimmune system diseaseshemic and lymphatic diseasesTumor MicroenvironmentIn Situ Hybridizationlcsh:R5-920Matricellular proteinGeneral MedicineDiffuse large B-cell lymphomaPrognosisGene Expression Regulation NeoplasticPhenotype030220 oncology & carcinogenesisLymphoma Large B-Cell Diffuselcsh:Medicine (General)Research PaperStromal cellMicroenvironmentTumour heterogeneityBiologySettore MED/08 - Anatomia PatologicaModels BiologicalGeneral Biochemistry Genetics and Molecular BiologyImmunophenotypingGenetic Heterogeneity03 medical and health sciencesImmune systemCell Line TumorBiomarkers TumormedicineAnimalsHumansEpigeneticsSequence Analysis RNAGene Expression Profilinglcsh:RMesenchymal stem cellComputational BiologySPARCDigital spatial profilingmedicine.diseaseIntra-tumour heterogeneityDisease Models Animal030104 developmental biologyCancer researchNeoplastic cellStromal CellsTranscriptomeDiffuse large B-cell lymphoma
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Micro-RNA profile and proteins in peritoneal fluid from women with endometriosis: their relationship with sterility.

2018

Objective: To define the microRNA (miRNA) profile and its relationship with cytokines content in peritoneal fluid (PF) from endometriosis patients. Design: Case-control study. Setting: University hospital, research institute. Patient(s): One hundred twenty-six women with endometriosis (EPF) and 45 control women (CPF). Main Outcomes Measure(s): MiRNA arrays were prepared from six EPF and six CPF. Quantitative reverse transcription-polymerase chain reaction validation of nine selected miRNAs (miR-29c-3p, -106b-3p, -130a-3p, -150-5p, -185-5p, -195-5p, -451a, -486-5p, and -1343-5p) was performed. Vascular endothelial growth factor-A (VEGF-A), thrombospondin-1 (TSP-1), urokinase plasminogen acti…

0301 basic medicineendometriosisAdultProteomicsMMP3AngiogenesisEndometriosisEndometriosisEnzyme-Linked Immunosorbent AssayAndrology03 medical and health sciences0302 clinical medicinePregnancymedicineAscitic FluidHumansAngiogenic ProteinsMacrophage inflammatory proteinOligonucleotide Array Sequence Analysis030219 obstetrics & reproductive medicinemicroRNAbusiness.industryPeritoneal fluidGene Expression ProfilingObstetrics and GynecologyInterleukinProteinsMiddle Agedmedicine.diseaseFold changeMicroRNAs030104 developmental biologyperitoneal fluidFertilityReproductive MedicineinflammationCase-Control StudiesCytokinesFemaleAngiogenesisInflammation MediatorsbusinessTranscriptomePlasminogen activatorInfertility FemaleFertility and sterility
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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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Dynamics of a Protein Interaction Network Associated to the Aggregation of polyQ-Expanded Ataxin-1

2020

Background: Several experimental models of polyglutamine (polyQ) diseases have been previously developed that are useful for studying disease progression in the primarily affected central nervous system. However, there is a missing link between cellular and animal models that would indicate the molecular defects occurring in neurons and are responsible for the disease phenotype in vivo. Methods: Here, we used a computational approach to identify dysregulated pathways shared by an in vitro and an in vivo model of ATXN1(Q82) protein aggregation, the mutant protein that causes the neurodegenerative polyQ disease spinocerebellar ataxia type-1 (SCA1). Results: A set of common dysregulated pathwa…

0301 basic medicinelcsh:QH426-470Ataxin 1Mice TransgenicNerve Tissue ProteinsProtein aggregationBlood–brain barrierblood-brain-barrierArticledrugspolyQ03 medical and health sciences0302 clinical medicineataxin-1Interaction networkIn vivoMutant proteinCerebellumGeneticsmedicineAnimalsGene Regulatory NetworksProtein Interaction MapsGenetics (clinical)NeuronsbiologypathwayGene Expression Profilingmedicine.diseaselcsh:Genetics030104 developmental biologymedicine.anatomical_structureGene Expression Regulationnetworkbiology.proteinSpinocerebellar ataxiaPeptidesNeuroscience030217 neurology & neurosurgeryFunction (biology)Genes
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Functional insights into the infective larval stage of Anisakis simplex s.s., Anisakis pegreffii and their hybrids based on gene expression patterns

2018

[Background]: Anisakis simplex sensu stricto and Anisakis pegreffii are sibling species of nematodes parasitic on marine mammals. Zoonotic human infection with third stage infective larvae causes anisakiasis, a debilitating and potentially fatal disease. These 2 species show evidence of hybridisation in geographical areas where they are sympatric. How the species and their hybrids differ is still poorly understood. [Results]: Third stage larvae of Anisakis simplex s.s., Anisakis pegreffii and hybrids were sampled from Merluccius merluccius (Teleosti) hosts captured in waters of the FAO 27 geographical area. Specimens of each species and hybrids were distinguished with a diagnostic genetic m…

0301 basic medicinelcsh:QH426-470Virulence Factorslcsh:BiotechnologyAnisakis simplexBreedingBiologyAnisakisTranscriptomeFish Diseases03 medical and health scienceslcsh:TP248.13-248.65parasitic diseasesGeneticsAnimalsAlleleGeneGeneticsSequence Analysis RNAGene Expression ProfilingAnisakis simplexMolecular Sequence AnnotationHelminth Proteins030108 mycology & parasitologyAllergensbiology.organism_classificationA. PegreffiiAnisakisGene expression profilingGadiformeslcsh:Genetics030104 developmental biologyGene Expression RegulationSympatric speciationGenetic markerLarvaGene expressionEnergy MetabolismTranscriptomeResearch ArticleBiotechnologyBMC Genomics
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In-Depth Proteomic Characterization of Classical and Non-Classical Monocyte Subsets

2018

Monocytes are bone marrow-derived leukocytes that are part of the innate immune system. Monocytes are divided into three subsets: classical, intermediate and non-classical, which can be differentiated by their expression of some surface antigens, mainly CD14 and CD16. These cells are key players in the inflammation process underlying the mechanism of many diseases. Thus, the molecular characterization of these cells may provide very useful information for understanding their biology in health and disease. We performed a multicentric proteomic study with pure classical and non-classical populations derived from 12 healthy donors. The robust workflow used provided reproducible results among t…

0301 basic medicinequantitative proteomicsInnate immune systemFunctional analysisMechanism (biology)CD14Clinical BiochemistryQuantitative proteomicslcsh:QR1-502monocytes; protein profiling; quantitative proteomicsDiseaseComputational biologyCD16Biologyprotein profilingBiochemistryArticlelcsh:Microbiology03 medical and health sciences030104 developmental biologyAntigenStructural BiologymonocytesMolecular Biology
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STRIPAK Members Orchestrate Hippo and Insulin Receptor Signaling to Promote Neural Stem Cell Reactivation

2019

Summary Adult stem cells reactivate from quiescence to maintain tissue homeostasis and in response to injury. How the underlying regulatory signals are integrated is largely unknown. Drosophila neural stem cells (NSCs) also leave quiescence to generate adult neurons and glia, a process that is dependent on Hippo signaling inhibition and activation of the insulin-like receptor (InR)/PI3K/Akt cascade. We performed a transcriptome analysis of individual quiescent and reactivating NSCs harvested directly from Drosophila brains and identified the conserved STRIPAK complex members mob4, cka, and PP2A (microtubule star, mts). We show that PP2A/Mts phosphatase, with its regulatory subunit Widerbors…

0301 basic medicinereactivationendocrine systemMitosisNerve Tissue ProteinsProtein Serine-Threonine KinasesBiologyArticleGeneral Biochemistry Genetics and Molecular BiologyAnimals Genetically ModifiedPhosphatidylinositol 3-Kinases03 medical and health sciences0302 clinical medicineNeural Stem CellsAnimalsDrosophila ProteinsquiescenceProtein Phosphatase 2lcsh:QH301-705.5Protein kinase BCells CulturedPI3K/AKT/mTOR pathwayTissue homeostasisAdaptor Proteins Signal TransducingCell ProliferationHippo signaling pathwayGene Expression ProfilingHippo signalingInR/PI3K/Akt signalingfungiIntracellular Signaling Peptides and ProteinsBrainSTRIPAK membersProtein phosphatase 2Receptor InsulinNeural stem cellCell biologyDrosophila melanogaster030104 developmental biologylcsh:Biology (General)nervous systemHippo signalingSingle-Cell AnalysisTranscriptomeProto-Oncogene Proteins c-akt030217 neurology & neurosurgeryAdult stem cellCell Reports
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Canonical Variate Analysis of Sensory Profiling Data

2015

Principal Component Analysis (PCA) of product mean scores is generally used to obtain a product map from sensory profiling data. However, this approach does not take into account the variance of the product mean scores due to the individual panelist variability. Therefore, Canonical Variate Analysis (CVA) of the product effect in the two-way multivariate analysis of variance (MANOVA) should be considered as a natural alternative analysis to PCA. Indeed, it is the extension of the classical univariate approach used for the analysis of each descriptor separately. This analysis generates successive components maximizing product discrimination as measured by the usual Fisher statistics in analy…

0303 health sciences030309 nutrition & dieteticsComputer scienceUnivariateSensory system04 agricultural and veterinary sciences040401 food scienceSensory analysisSensory Systems03 medical and health sciences0404 agricultural biotechnologyCanonical variate analysisMultivariate analysis of varianceStatisticsPrincipal component analysisProfiling (information science)Analysis of varianceFood ScienceJournal of Sensory Studies
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