Search results for "Gene Regulatory Network"

showing 10 items of 122 documents

Genome- wide association study with additional genetic and post-transcriptional analyses reveals novel regulators of plasma factor XI levels

2017

International audience; Coagulation factor XI (FXI) has become increasingly interesting for its role in pathogenesis of thrombosis. While elevated plasma levels of FXI have been associated with venous thromboembolism and ischemic stroke, its deficiency is associated with mild bleeding. We aimed to determine novel genetic and post-transcriptional plasma FXI regulators.We performed a genome-wide association study (GWAS) for plasma FXI levels, using novel data imputed to the 1000 Genomes reference panel. Individual GWAS analyses, including a total of 16,169 European individuals from the ARIC, GHS, MARTHA and PROCARDIS studies, were meta-analysed and further replicated in 2,045 individuals from…

Male0301 basic medicineIn silicoReceptors Cell SurfaceSingle-nucleotide polymorphismGenome-wide association study030204 cardiovascular system & hematologyBiologyPolymorphism Single Nucleotide03 medical and health sciences0302 clinical medicine[SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]GeneticsmedicineHumansComputer SimulationGene Regulatory NetworksGenetic Predisposition to Disease1000 Genomes ProjectMolecular BiologyGeneGenetics (clinical)Adaptor Proteins Signal TransducingGeneticsmedicine.diagnostic_testKininogensAssociation Studies ArticlesHaplotypeThrombosisGeneral Medicine3. Good health030104 developmental biologyGene Expression RegulationFemalePartial Thromboplastin TimeCell Adhesion MoleculesProtein Processing Post-TranslationalImputation (genetics)Genome-Wide Association StudyPartial thromboplastin time
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Patients experiencing statin-induced myalgia exhibit a unique program of skeletal muscle gene expression following statin re-challenge

2017

Statins, the 3-hydroxy-3-methyl-glutaryl (HMG)-CoA reductase inhibitors, are widely prescribed for treatment of hypercholesterolemia. Although statins are generally well tolerated, up to ten percent of statin-treated patients experience myalgia symptoms, defined as muscle pain without elevated creatinine phosphokinase (CPK) levels. Myalgia is the most frequent reason for discontinuation of statin therapy. The mechanisms underlying statin myalgia are not clearly understood. To elucidate changes in gene expression associated with statin myalgia, we compared profiles of gene expression in skeletal muscle biopsies from patients with statin myalgia who were undergoing statin re-challenge (cases)…

Male0301 basic medicinemyalgiaGene Expressionlcsh:MedicineApoptosis030204 cardiovascular system & hematologyPathology and Laboratory MedicineBioinformaticsBiochemistry0302 clinical medicineMedicine and Health SciencesGene Regulatory Networkslcsh:ScienceMusculoskeletal SystemEnergy-Producing OrganellesMyositisRegulation of gene expressionMultidisciplinaryCell DeathbiologyMusclesDrugsMiddle AgedMitochondriaCell ProcessesHMG-CoA reductaseFemalelipids (amino acids peptides and proteins)AnatomyCellular Structures and Organellesmedicine.symptomResearch ArticleSenescencemedicine.medical_specialtyStatinmedicine.drug_classPainBioenergeticsPolymorphism Single Nucleotide03 medical and health sciencesSigns and SymptomsDiagnostic MedicineInternal medicineGeneticsmedicineHumansGene Regulationcardiovascular diseasesMuscle SkeletalAgedPharmacologybusiness.industrylcsh:RStatinsBiology and Life SciencesComputational Biologynutritional and metabolic diseasesMyalgiaCell Biologymedicine.disease030104 developmental biologyEndocrinologyGene Expression RegulationSkeletal MusclesLeukocytes Mononuclearbiology.proteinProtein prenylationlcsh:QHydroxymethylglutaryl-CoA Reductase InhibitorsSLCO1B1businessPLOS ONE
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Twelve Variants Polygenic Score for Low-Density Lipoprotein Cholesterol Distribution in a Large Cohort of Patients With Clinically Diagnosed Familial…

2022

: Background A significant proportion of individuals clinically diagnosed with familial hypercholesterolemia (FH), but without any disease-causing mutation, are likely to have polygenic hypercholesterolemia. We evaluated the distribution of a polygenic risk score, consisting of 12 low-density lipoprotein cholesterol (LDL-C)-raising variants (polygenic LDL-C risk score), in subjects with a clinical diagnosis of FH. Methods and Results Within the Lipid Transport Disorders Italian Genetic Network (LIPIGEN) study, 875 patients who were FH-mutation positive (women, 54.75%; mean age, 42.47±15.00 years) and 644 patients who were FH-mutation negative (women, 54.21%; mean age, 49.73±13.54 years) wer…

MaleAdultMultifactorial InheritanceSettore MED/09 - Medicina Internafamilial hypercholesterolemia; molecular diagnosis; polygenic risk score; Adult; Cholesterol LDL; Female; Humans; Middle Aged; Multifactorial Inheritance; Mutation; Gene Regulatory Networks; Hyperlipoproteinemia Type IIfamilial hypercholesterolemiaCholesterol LDLMiddle AgedLDLHyperlipoproteinemia Type IICholesterolmolecular diagnosispolygenic risk scoreMutationHumansFemaleGene Regulatory Networksmolecular diagnosifamilial hypercholesterolemia; molecular diagnosis; polygenic risk score
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Effects of different kinds of essentiality on sequence evolution of human testis proteins

2016

We asked if essentiality for either fertility or viability differentially affects sequence evolution of human testis proteins. Based on murine knockout data, we classified a set of 965 proteins expressed in human seminiferous tubules into three categories: proteins essential for prepubertal survival (“lethality proteins”), associated with male sub- or infertility (“male sub-/infertility proteins”), and nonessential proteins. In our testis protein dataset, lethality genes evolved significantly slower than nonessential and male sub-/infertility genes, which is in line with other authors’ findings. Using tissue specificity, connectivity in the protein-protein interaction (PPI) network, and mul…

MaleGene Expression ProfilingComputational BiologyProteinsMolecular Sequence AnnotationSeminiferous TubulesArticle570 Life sciencesEvolution MolecularMiceOrgan SpecificityProtein Interaction MappingTestisAnimalsHumansGene Regulatory NetworksProtein Interaction MapsSpermatogenesisTranscriptomeInfertility Male570 BiowissenschaftenScientific Reports
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A bioinformatics analysis of Lamin-A regulatory network: a perspective on epigenetic involvement in Hutchinson-Gilford progeria syndrome.

2012

Hutchinson-Gilford progeria syndrome (HGPS) is a rare human genetic disease that leads to premature aging. HGPS is caused by mutation in the Lamin-A (LMNA) gene that leads, in affected young individuals, to the accumulation of the progerin protein, usually present only in aging differentiated cells. Bioinformatics analyses of the network of interactions of the LMNA gene and transcripts are presented. The LMNA gene network has been analyzed using the BioGRID database (http://thebiogrid.org/) and related analysis tools such as Osprey (http://biodata.mshri.on.ca/osprey/servlet/Index) and GeneMANIA ( http://genemania.org/). The network of interaction of LMNA transcripts has been further analyze…

MalePremature agingcongenital hereditary and neonatal diseases and abnormalitiesAginghgps ceRNA lmna progerinBiologyModels BiologicalEpigenesis GeneticLMNAAdenosine TriphosphateProgeriaDatabases GeneticmedicineHumansGene Regulatory NetworksEpigeneticsGeneticsProgeriaModels Geneticintegumentary systemCompeting endogenous RNAComputational BiologyProstatic Neoplasmsnutritional and metabolic diseasesLamin Type Amedicine.diseaseProgerinChromatinChromatinGeriatrics and GerontologySoftwareLamin
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Exosomal and Plasma Non-Coding RNA Signature Associated with Urinary Albumin Excretion in Hypertension

2022

Non-coding RNA (ncRNA), released into circulation or packaged into exosomes, plays important roles in many biological processes in the kidney. The purpose of the present study is to identify a common ncRNA signature associated with early renal damage and its related molecular pathways. Three individual libraries (plasma and urinary exosomes, and total plasma) were prepared from each hypertensive patient (with or without albuminuria) for ncRNA sequencing analysis. Next, an RNA-based transcriptional regulatory network was constructed. The three RNA biotypes with the greatest number of differentially expressed transcripts were long-ncRNA (lncRNA), microRNA (miRNA) and piwi-interacting RNA (piR…

MaleRNA UntranslatedhypertensionQH301-705.5non-coding RNABlood PressureexosomesArticleCatalysisInorganic ChemistryAlbuminuriaHumansGene Regulatory NetworksPhysical and Theoretical ChemistryBiology (General)Molecular BiologyQD1-999Spectroscopyplasmaurinary albumin excretion; hypertension; exosomes; plasma; non-coding RNAGene Expression ProfilingOrganic ChemistryLiquid BiopsyGeneral MedicineComputer Science ApplicationsChemistryGene Expression Regulationurinary albumin excretionFemaleDisease SusceptibilityTranscriptomeCell-Free Nucleic AcidsBiomarkersInternational Journal of Molecular Sciences
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Transcriptional profiling of rat white adipose tissue response to 2,3,7,8-tetrachlorodibenzo-ρ-dioxin

2015

Polychlorinated dibenzodioxins are environmental contaminants commonly produced as a by-product of industrial processes. The most potent of these, 2,3,7,8-tetrachlorodibenzo-rho-dioxin (TCDD), is highly lipophilic, leading to bioaccumulation. White adipose tissue (WAT) is a major site for energy storage, and is one of the organs in which TCDD accumulates. In laboratory animals, exposure to TCDD causes numerous metabolic abnormalities, including a wasting syndrome. We therefore investigated the molecular effects of TCDD exposure on WAT by profiling the transcriptomic response of WAT to 100 mu g/kg of TCDD at 1 or 4 days in TCDD-sensitive Long-Evans (Turku/AB; L-E) rats. A comparative analysi…

MaleTCDDPolychlorinated DibenzodioxinsTime FactorsTranscription GeneticPolychlorinated dibenzodioxinsAHRAH GENE BATTERYAdipose tissueWhite adipose tissueRESISTANT413 Veterinary scienceToxicologyfeed restrictionTranscriptomechemistry.chemical_compoundGene Regulatory Networksheterocyclic compoundsreproductive and urinary physiologyta317biology3. Good healthPROBE LEVELLUNG-CANCER CELLSToxicityEnvironmental PollutantsMESSENGER-RNAARYL-HYDROCARBON RECEPTORSTRAINmedicine.medical_specialtyAdipose Tissue WhiteWEIGHT-LOSSta3111Immune systemSpecies Specificitytranscriptomic profilingwhite adipose tissueInternal medicinemedicineAnimalsHumansRats Long-EvansRats WistarCaloric RestrictionPharmacologyGene Expression Profilingta1184Lipid metabolismAryl hydrocarbon receptorstomatognathic diseasesEndocrinologyGene Expression RegulationchemistryDIOXIN-TREATED RATSbiology.proteinToxicology and Applied Pharmacology
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Alterations of a Cellular Cholesterol Metabolism Network Are a Molecular Feature of Obesity-Related Type 2 Diabetes and Cardiovascular Disease

2015

Obesity is linked to type 2 diabetes (T2D) and cardiovascular diseases; however, the underlying molecular mechanisms remain unclear. We aimed to identify obesity-associated molecular features that may contribute to obesity-related diseases. Using circulating monocytes from 1,264 Multi-Ethnic Study of Atherosclerosis (MESA) participants, we quantified the transcriptome and epigenome. We discovered that alterations in a network of coexpressed cholesterol metabolism genes are a signature feature of obesity and inflammatory stress. This network included 11 BMI-associated genes related to sterol uptake (↑LDLR, ↓MYLIP), synthesis (↑SCD, FADS1, HMGCS1, FDFT1, SQLE, CYP51A1, SC4MOL), and efflux (↓A…

Malemedicine.medical_specialtyEndocrinology Diabetes and MetabolismGene regulatory networkGene DosageInflammationType 2 diabetesBiologyMedical and Health SciencesTranscriptomeEndocrinology & MetabolismDelta-5 Fatty Acid DesaturaseDiabetes mellitusInternal medicineWeight LossInternal MedicinemedicineHumansObesityGeneAgedRegulation of gene expressionAged 80 and overnutritional and metabolic diseasesEpigenomemedicine.diseaseEndocrinologyCholesterolDiabetes Mellitus Type 2Gene Expression RegulationCardiovascular Diseaseslipids (amino acids peptides and proteins)Femalemedicine.symptomTranscriptomeObesity StudiesDiabetes
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mBISON: Finding miRNA target over-representation in gene lists from ChIP-sequencing data

2015

Background Over-representation of predicted miRNA targets in sets of genes regulated by a given transcription factor (e.g. as defined by ChIP-sequencing experiments) helps to identify biologically relevant miRNA targets and is useful to get insight into post-transcriptional regulation. Findings To facilitate the application of this approach we have created the mBISON web-application. mBISON calculates the significance of over-representation of miRNA targets in a given non-ranked gene set. The gene set can be specified either by a list of genes or by one or more ChIP-seq datasets followed by a user-defined peak-gene association procedure. mBISON is based on predictions from TargetScan and us…

Medicine(all)Chromatin ImmunoprecipitationInternetmicroRNABiochemistry Genetics and Molecular Biology(all)Sequence Analysis RNAChIP-sequencingGene regulatory networksMicroRNAsEnrichmentTechnical NoteTranscription factorsTarget genesData integrationBMC Research Notes
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Gatekeeper of pluripotency: A common Oct4 transcriptional network operates in mouse eggs and embryonic stem cells

2011

Abstract Background Oct4 is a key factor of an expanded transcriptional network (Oct4-TN) that governs pluripotency and self-renewal in embryonic stem cells (ESCs) and in the inner cell mass from which ESCs are derived. A pending question is whether the establishment of the Oct4-TN initiates during oogenesis or after fertilisation. To this regard, recent evidence has shown that Oct4 controls a poorly known Oct4-TN central to the acquisition of the mouse egg developmental competence. The aim of this study was to investigate the identity and extension of this maternal Oct4-TN, as much as whether its presence is circumscribed to the egg or maintained beyond fertilisation. Results By comparing …

Octamer Transcription Factor-3lcsh:QH426-470lcsh:BiotechnologycellsGene regulatory networkDown-RegulationBiologyTranscriptomeMicelcsh:TP248.13-248.65GeneticsInner cell massAnimalsGene Regulatory NetworksEmbryonic Stem Cellsreproductive and urinary physiologyOligonucleotide Array Sequence AnalysisGeneticsGene Expression ProfilingfungiEmbryoEmbryonic stem cellGene expression profilinglcsh:GeneticsMultigene FamilyCancer cellembryonic structuresOocytesFemalebiological phenomena cell phenomena and immunityFunction and Dysfunction of the Nervous SystemOctamer Transcription Factor-3Research ArticleBiotechnologyBMC Genomics
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