Search results for "lncRNA"

showing 10 items of 12 documents

ISWI ATP-dependent remodeling of nucleoplasmic ω-speckles in the brain of Drosophila melanogaster.

2017

Heterogeneous nuclear ribonucleoproteins (hnRNPs) belong to the RNA-binding proteins family. They are involved in processing heterogeneous nuclear RNAs (hnRNAs) into mature mRNAs. These proteins participate in every step of mRNA cycle, such as mRNA export, localization, translation, stability and alternative splicing. At least 14 major hnRNPs, which have structural and functional homologues in mammals, are expressed in Drosophila melanogaster. Until now, six of these hnRNPs are known to be nucleus-localized and associated with the long non-coding RNA (lncRNA) heat shock responsive ω (hsrω) in the omega speckle compartments (ω-speckles). The chromatin remodeler ISWI is the catalytic subunit …

0301 basic medicineTranscription GeneticBiologyHeterogeneous ribonucleoprotein particleHeterogeneous-Nuclear RibonucleoproteinsNuclear body03 medical and health scienceslncRNAAdenosine TriphosphateChromatin remodelersGene expressionGeneticsOmega speckleAnimalsMolecular BiologyGeneticsAdenosine TriphosphatasesCell NucleusAlternative splicingChromatin remodelers; hnRNPs; lncRNA; Nuclear body; Omega speckles; Molecular Biology; GeneticsRNABrainTranslation (biology)biology.organism_classificationChromatin Assembly and DisassemblyhnRNPsChromatinCell biology030104 developmental biologyDrosophila melanogasterGene Expression RegulationOmega specklesDrosophila melanogasterTranscription FactorsJournal of genetics and genomics = Yi chuan xue bao
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Prediction of Disease–lncRNA Associations via Machine Learning and Big Data Approaches

2021

This chapter introduces long non-coding RNAs and their role in the occurrence and progress of diseases. The discovery of novel lncRNA-disease associations may provide valuable input to the understanding of disease mechanisms at the lncRNA level, as well as to the detection of biomarkers for disease diagnosis, treatment, prognosis, and prevention. Unfortunately, due to costs and time complexity, the number of possible disease-related lncRNAs verified by traditional biological experiments is very limited. Computational approaches for the prediction of potential disease-lncRNA associations can effectively decrease the time and cost of biological experiments. We first review the main computatio…

business.industryComputer scienceBig Data Technologies Biological Processes Computational Approaches Disease–lncRNA Associations Non-Coding RNA Hypergeometric distribution Leave One Out Cross Validation Long non-coding RNA Master-Slave Architecture Micro-RNA.Big dataArtificial intelligenceDiseasebusinessMachine learningcomputer.software_genrecomputer
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DNA Methylation and Non-Coding RNAs during Tissue-Injury Associated Pain.

2022

While about half of the population experience persistent pain associated with tissue damages during their lifetime, current symptom-based approaches often fail to reduce such pain to a satisfactory level. To provide better patient care, mechanism-based analgesic approaches must be developed, which necessitates a comprehensive understanding of the nociceptive mechanism leading to tissue injury-associated persistent pain. Epigenetic events leading the altered transcription in the nervous system are pivotal in the maintenance of pain in tissue injury. However, the mechanisms through which those events contribute to the persistence of pain are not fully understood. This review provides a summar…

INFLAMMATORY PAINRNA UntranslatedChemistry MultidisciplinaryAdaptation BiologicalReviewUP-REGULATIONEpigenesis GeneticCpG islandsTranscripció genèticalncRNANeurociènciesnociceptionBiology (General)SpectroscopyGENE-EXPRESSIONGeneral MedicineComputer Science ApplicationsChemistryPhysical SciencesDisease SusceptibilityChronic PainLife Sciences & BiomedicineepigeneticALLEVIATES NEUROPATHIC PAINBiochemistry & Molecular Biologydorsal root ganglionQH301-705.50699 Other Biological SciencesCatalysisCONTRIBUTESInorganic ChemistryDiagnosis DifferentialCENTRAL SENSITIZATION0399 Other Chemical SciencesHumansPhysical and Theoretical ChemistryQD1-999Molecular Biologyspinal dorsal hornmiRNACHRONIC CONSTRICTION INJURYneuropathic pain0604 GeneticsScience & TechnologyChemical PhysicsNERVE INJURYMICRORNAGene Expression ProfilingOrganic ChemistryDNA MethylationCPG-BINDING PROTEIN-2gene transcriptionGene Expression RegulationsiRNARNAWounds and InjuriesBiomarkersInternational journal of molecular sciences
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Non-coding RNAs and Coronary Artery Disease

2020

Coronary artery disease (CAD) is the leading death cause worldwide. Non-coding RNA (ncRNA) are key regulators of genetic expression and thus can affect directly or indirectly the development and progression of different diseases. ncRNA can be classified in several types depending on the length or structure, as long non-coding RNA (lncRNA), microRNA (miRNA) and circularRNA (circRNA), among others. These types of RNA are present within cells or in circulation, and for this reason they have been used as biomarkers of different diseases, therefore revolutionizing precision medicine. Recent research studied the capability of circulating ncRNA to inform about CAD presence and predict the outcome …

Enfermedad cardiovascularRNABiomarkerDiseaseComputational biologyGenética humanaBiologyNon-coding RNAPrecision medicinemedicine.diseaseARNCoronary artery disease (CAD)Coronary artery disease03 medical and health scienceslncRNA0302 clinical medicineBiomarker; Coronary artery disease (CAD); circRNA; lncRNA; miRNAGene expressionmicroRNAmedicineBiomarker (medicine)Cardiopatía coronariacircRNA030212 general & internal medicinemiRNA
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The burden of hepatocellular carcinoma in non-alcoholic fatty liver disease: Screening issue and future perspectives

2019

In recent decades, non-alcoholic fatty liver disease (NAFLD) has become the most common liver disease in the Western world, and the occurrence of its complications, such as hepatocellular carcinoma (HCC), has rapidly increased. Obesity and diabetes are considered not only the main triggers for the development of the disease, but also two independent risk factors for HCC. Single nucleotide polymorphisms (such as PNPLA3, TM6SF2 and MBOAT7) are related to the susceptibility to the development of HCC and its progression. Therefore, an appropriate follow-up of these patients is needed for the early diagnosis and treatment of HCC. To date, international guidelines recommend the use of ultrasonogr…

OncologyHepatocellular carcinomaDiseaseReviewlcsh:ChemistryLiver disease0302 clinical medicineDisease ScreeningRisk FactorsMass ScreeningHCClcsh:QH301-705.5SpectroscopyFatty liverLiver NeoplasmsGeneral MedicineComputer Science Applications030220 oncology & carcinogenesisHepatocellular carcinoma030211 gastroenterology & hepatologyMiRNAmedicine.medical_specialtyMicro RNACarcinoma HepatocellularSingle-nucleotide polymorphismCatalysisTM6SF2Inorganic ChemistryDiabetes Complications03 medical and health sciencesDiabetes mellitusInternal medicineNAFLDmedicineAnimalsHumansObesityPhysical and Theoretical ChemistryMolecular BiologyPNPLA3Long non-conding RNAbusiness.industryOrganic Chemistrymedicine.diseasedigestive system diseasesLncRNAlcsh:Biology (General)lcsh:QD1-999businessTM6SF2Non-alcoholic fatty liver disease
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Key lncRNAs involved in ischemic strokes

2022

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Cancer Researchmedicine.medical_specialtyIschemic strokesBiologymedicine.diseaseBrain Ischemiaischemic stroke lncRNAs miRNAs RNA transcripts stroke Humans Brain Ischemia Ischemic Stroke RNA Long NoncodingInternal medicineIschemic strokeGeneticsKey (cryptography)medicineCardiologyHumansRNA Long NoncodingStrokeIschemic StrokeEpigenomics
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Coffee Restores Expression of lncRNAs Involved in Steatosis and Fibrosis in a Mouse Model of NAFLD

2021

Background and aim: Coffee intake exerts protective effects against non-alcoholic fatty liver disease (NAFLD), although without fully cleared mechanisms. In this study we aimed to assess whether coffee consumption may influence the expression of long non-coding RNAs (lncRNAs) in the liver. Methods: C57BL/6J mice were fed a 12-week standard diet (SD), high-fat diet (HFD) or HFD plus decaffeinated coffee solution (HFD + coffee). Expression of specific lncRNAs involved in NAFLD was analyzed by real-time PCR. For the most differentially expressed lncRNAs, the analysis was also extended to their mRNA targets. Results: Decaffeinated coffee intake reduced body weight gain, prevented NAFLD, lowered…

lncRNA.Liver CirrhosisMalemedicine.medical_specialtyGm16551; H19; NAFLD; coffee; lncRNA; Animals; Coffee; Disease Models Animal; Fatty Liver; Gene Expression; Liver; Liver Cirrhosis; Male; Mice; Mice Inbred C57BL; Non-alcoholic Fatty Liver Disease; RNA Long NoncodingCoenzyme ACircadian clockcoffeeGene ExpressionBiologyInbred C57BLArticlechemistry.chemical_compoundMicelncRNADownregulation and upregulationFibrosisSettore BIO/13 - Biologia ApplicataNon-alcoholic Fatty Liver DiseaseInternal medicineNAFLDmedicineAnimalsTX341-641Messenger RNANutrition and DieteticsH19Nutrition. Foods and food supplyAnimalGm16551Fatty liverNAFLD; coffee; lncRNA; Gm16551; H19nutritional and metabolic diseasesmedicine.diseaseMice Inbred C57BLFatty LiverDisease Models AnimalEndocrinologychemistryLiverLipogenesisDisease ModelsRNARNA Long NoncodingLong NoncodingSteatosisFood Science
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Hypoxia‐induced non‐coding rnas controlling cell viability in cancer

2021

Hypoxia, a characteristic of the tumour microenvironment, plays a crucial role in cancer progression and therapeutic response. The hypoxia-inducible factors (HIF-1α, HIF-2α, and HIF-3α), are the master regulators in response to low oxygen partial pressure, modulating hypoxic gene expression and signalling transduction pathways. HIFs’ activation is sufficient to change the cell phenotype at multiple levels, by modulating several biological activities from metabolism to the cell cycle and providing the cell with new characteristics that make it more aggressive. In the past few decades, growing numbers of studies have revealed the importance of non-coding RNAs (ncRNAs) as molecular mediators i…

0301 basic medicineRNA UntranslatedCellProliferationReviewlcsh:ChemistryTransduction (genetics)0302 clinical medicineNeoplasmsGene expressionBasic Helix-Loop-Helix Transcription FactorsTumor MicroenvironmentRNA NeoplasmHypoxialcsh:QH301-705.5SpectroscopyCancerGeneral MedicineCell cycleCell HypoxiaComputer Science ApplicationsCell biologyNeoplasm Proteinsmedicine.anatomical_structure030220 oncology & carcinogenesismiRNAscell cyclemedicine.symptomMiRNASignal TransductionCell SurvivallncRNAsBiologyCatalysisInorganic Chemistry03 medical and health sciencesmicroRNAmedicineHumansHIFViability assayPhysical and Theoretical ChemistryMolecular BiologyOrganic ChemistryCancerHypoxia (medical)medicine.diseaseLncRNA030104 developmental biologylcsh:Biology (General)lcsh:QD1-999
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Non-Coding RNA Networks as Potential Novel Biomarker and Therapeutic Target for Sepsis and Sepsis-Related Multi-Organ Failure.

2022

According to “Sepsis-3” consensus, sepsis is a life-threatening clinical syndrome caused by a dysregulated inflammatory host response to infection. A rapid identification of sepsis is mandatory, as the extent of the organ damage triggered by both the pathogen itself and the host’s immune response could abruptly evolve to multiple organ failure and ultimately lead to the death of the patient. The most commonly used therapeutic strategy is to provide hemodynamic and global support to the patient and to rapidly initiate broad-spectrum empiric antibiotic therapy. To date, there is no gold standard diagnostic test that can ascertain the diagnosis of sepsis. Therefore, once sepsis is suspected, t…

biomarker circularRNAs (circRNAs) long non-codingRNAs (lncRNAs) microRNAs (miRNAs) multi-organ failure (MOF) noncoding RNA sepsisClinical BiochemistryDiagnostics (Basel, Switzerland)
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Prediction of lncRNA-Disease Associations from Tripartite Graphs

2021

The discovery of novel lncRNA-disease associations may provide valuable input to the understanding of disease mechanisms at lncRNA level, as well as to the detection of biomarkers for disease diagnosis, treatment, prognosis and prevention. Unfortunately, due to costs and time complexity, the number of possible disease-related lncRNAs verified by traditional biological experiments is very limited. Computational approaches for the prediction of potential disease-lncRNA associations can effectively decrease time and cost of biological experiments. We propose an approach for the prediction of lncRNA-disease associations based on neighborhood analysis performed on a tripartite graph, built upon …

Tripartite graphsDecision support systemComputer scienceDisease mechanismsIdentification (biology)lncRNA-disease associations predictionDiseaseComputational biologyTime complexityGraphDecision support
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