Search results for "Regulatory Networks"

showing 10 items of 107 documents

Adaptative biochemical pathways and regulatory networks in Klebsiella oxytoca BAS-10 producing a biotechnologically relevant exopolysaccharide during…

2012

Abstract Background A bacterial strain previously isolated from pyrite mine drainage and named BAS-10 was tentatively identified as Klebsiella oxytoca. Unlikely other enterobacteria, BAS-10 is able to grow on Fe(III)-citrate as sole carbon and energy source, yielding acetic acid and CO2 coupled with Fe(III) reduction to Fe(II) and showing unusual physiological characteristics. In fact, under this growth condition, BAS-10 produces an exopolysaccharide (EPS) having a high rhamnose content and metal-binding properties, whose biotechnological applications were proven as very relevant. Results Further phylogenetic analysis, based on 16S rDNA sequence, definitively confirmed that BAS-10 belongs t…

Proteomicsmetal binding exopolysaccharideRhamnoseeducationlcsh:QR1-502BioengineeringSettore BIO/19 - Microbiologia GeneraleFerric CompoundsApplied Microbiology and BiotechnologyCitric Acidlcsh:Microbiology03 medical and health scienceschemistry.chemical_compoundAcetic acidRNA Ribosomal 16SGene Regulatory NetworksPhylogeny030304 developmental biology2. Zero hunger0303 health sciencesbiology030306 microbiologyResearchKlebsiella oxytocaKlebsiella oxytocabiology.organism_classificationBacterial strainKlebsiella oxytoca; 2D-DIGE analysis; metal binding exopolysaccharide;Metabolic pathwaychemistryBiochemistryFermentation2D-DIGE analysiFermentationEnergy sourceCitric acidMetabolic Networks and PathwaysBiotechnology
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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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A Systematic Study of Dysregulated MicroRNA in Type 2 Diabetes Mellitus

2017

MicroRNAs (miRNAs) are small noncoding RNAs that modulate the cellular transcriptome at the post-transcriptional level. miRNA plays important roles in different disease manifestation, including type 2 diabetes mellitus (T2DM). Many studies have characterized the changes of miRNAs in T2DM, a complex systematic disease; however, few studies have integrated these findings and explored the functional effects of the dysregulated miRNAs identified. To investigate the involvement of miRNAs in T2DM, we obtained and analyzed all relevant studies published prior to 18 October 2016 from various literature databases. From 59 independent studies that met the inclusion criteria, we identified 158 dysregu…

0301 basic medicineSystematic surveytype 2 diabetes mellitussystematic study030209 endocrinology & metabolismDiseaseBioinformaticsCatalysisArticleInorganic ChemistryTranscriptomelcsh:Chemistry03 medical and health sciences0302 clinical medicineDiabetes mellitusmiRNA-mRNA interaction networkmicroRNAmedicineHumansGene Regulatory NetworksRNA MessengerPhysical and Theoretical Chemistry10. No inequalityMolecular Biologylcsh:QH301-705.5SpectroscopyAdipocytokine Signaling PathwaymicroRNA; type 2 diabetes mellitus; miRNA-mRNA interaction network; systematic studymicroRNAbusiness.industryGene Expression ProfilingOrganic ChemistryType 2 Diabetes MellitusGeneral Medicinemedicine.diseaseComputer Science ApplicationsMicroRNAs030104 developmental biologyDiabetes Mellitus Type 2Gene Expression Regulationlcsh:Biology (General)lcsh:QD1-999Organ SpecificityRNA InterferenceDisease manifestationbusinessTranscriptomeSignal TransductionInternational Journal of Molecular Sciences
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Network reconstruction for trans acting genetic loci using multi-omics data and prior information.

2022

Background: Molecular measurements of the genome, the transcriptome, and the epigenome, often termed multi-omics data, provide an in-depth view on biological systems and their integration is crucial for gaining insights in complex regulatory processes. These data can be used to explain disease related genetic variants by linking them to intermediate molecular traits (quantitative trait loci, QTL). Molecular networks regulating cellular processes leave footprints in QTL results as so-called trans-QTL hotspots. Reconstructing these networks is a complex endeavor and use of biological prior information can improve network inference. However, previous efforts were limited in the types of priors…

Data Integrationeducation.field_of_studyComputer scienceScale (chemistry)Bayesian probabilityPopulationQuantitative Trait LociBiological databaseInferenceData Integration ; Machine Learning ; Multi-omics ; Network Inference ; Personalized Medicine ; Prior Information ; Simulation ; Systems BiologyComputational biologyQuantitative trait locusReplication (computing)Machine LearningPrior probabilityCohortGeneticsMolecular MedicineHumans:Medicine [Science]Gene Regulatory NetworkseducationTranscriptomeMolecular BiologyGenetics (clinical)Genome medicine
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JNK ‐dependent gene regulatory circuitry governs mesenchymal fate

2015

The epithelial to mesenchymal transition (EMT) is a biological process in which cells lose cell-cell contacts and become motile. EMT is used during development, for example, in triggering neural crest migration, and in cancer metastasis. Despite progress, the dynamics of JNK signaling, its role in genomewide transcriptional reprogramming, and involved downstream effectors during EMT remain largely unknown. Here, we show that JNK is not required for initiation, but progression of phenotypic changes associated with EMT. Such dependency resulted from JNK-driven transcriptional reprogramming of critical EMT genes and involved changes in their chromatin state. Furthermore, we identified eight no…

MAP Kinase Kinase 4MAP Kinase Signaling SystemCellular differentiationGene regulatory networkBiologyTime-Lapse ImagingGeneral Biochemistry Genetics and Molecular BiologyCell LineMesodermTranscriptometranscription factorsmetastasisHumansGene Regulatory NetworksEpithelial–mesenchymal transitionMolecular BiologyTranscription factorJNK signalingGeneticsRegulation of gene expressionGeneral Immunology and MicrobiologyGene Expression ProfilingGeneral NeuroscienceCell CycleEMTCell DifferentiationArticles3. Good healthChromatinCell biologyembryonic structuresgene regulationReprogrammingThe EMBO Journal
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Identifying Early Warning Signals for the Sudden Transition from Mild to Severe Tobacco Etch Disease by Dynamical Network Biomarkers

2019

This article belongs to the Special Issue The Complexity of the Potyviral Interaction Network.

0106 biological sciences0301 basic medicineComplex systemsSystems biologyPotyvirusDiseaseBiologytobacco etch virusSeverity of Illness Index01 natural sciencesArticlePlant VirusesTranscriptomeViral Proteins03 medical and health sciencesPlant-virus interactionpotyvirusGene Expression Regulation PlantVirologyProtein Interaction MappingTobaccoGene Regulatory NetworksProtein Interaction Mapscomplex systemsGenePlant DiseasesGeneticsTransition (genetics)Tobacco etch virusGene Expression Profilingsystems biologyDNBBiotic stressresponse to infectionbiology.organism_classificationplant-virus interactionTobacco etch virusphase transitionsprotein-protein interaction networks030104 developmental biologyInfectious DiseasesPhase transitionsHost-Pathogen InteractionsMutationBiomarker (medicine)BiomarkersSignal Transduction010606 plant biology & botanyViruses
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A multidimensional network approach reveals microRNAs as determinants of the mesenchymal colorectal cancer subtype

2016

Colorectal cancer (CRC) is a heterogeneous disease posing a challenge for accurate classification and treatment of this malignancy. There is no common genetic molecular feature that would allow for the identification of patients at risk for developing recurrences and thus selecting patients who would benefit from more stringent therapies still poses a major clinical challenge. Recently, an international multicenter consortium (CRC Subtyping Consortium) was established aiming at the classification of CRC patients in biologically homogeneous CRC subtypes. Four consensus molecular subtypes (CMSs) were identified, of which the mesenchymal CMS4 presented with worse prognosis signifying the impor…

0301 basic medicineMaleCancer ResearchEpithelial-Mesenchymal TransitionGene regulatory networkComputational biologyBiologymedicine.disease_causeEpigenesis Genetic03 medical and health sciencesMolecular Biology; Cancer Research; GeneticsCell Line TumormicroRNAmedicineGeneticsHumansGene Regulatory NetworksEpigeneticsPromoter Regions GeneticMolecular BiologyRegulation of gene expressionCancerComputational BiologyDNA Methylationmedicine.diseasePrognosisSubtyping3. Good healthGene Expression Regulation NeoplasticMicroRNAs030104 developmental biologyPhenotypeMultigene FamilyDNA methylationCancer researchFemaleOriginal ArticleCarcinogenesisColorectal NeoplasmsTranscriptomeOncogene
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miR-155 regulative network in FLT3 mutated acute myeloid leukemia

2015

Abstract Background Acute myeloid leukemia (AML) represents a heterogeneous disorder with recurrent chromosomal alterations and molecular abnormalities. Among AML with normal karyotype (NK-AML) FLT3 activating mutation, internal tandem duplication (FLT3-ITD), is present in about 30% of patients, conferring unfavorable outcome. Our previous data demonstrated specific up-regulation of miR-155 in FLT3-ITD+ AML. miR-155 is known to be directly implicated in normal hematopoiesis and in some pathologies such as myeloid hyperplasia and acute lymphoblastic leukemia. Methods and results To investigate about the potential influence of miR-155 de-regulation in FLT3-mutated AML we generated a transcrip…

AdultMaleCancer ResearchMyeloidJUNBNetworkBiologyYoung Adultchemistry.chemical_compoundAMLhemic and lymphatic diseasesmicroRNACEBPBmedicineHumansGene silencingGene Regulatory NetworksAML; MicroRNA; NetworkAgedAged 80 and overGene Expression Regulation LeukemicGene Expression ProfilingMyeloid leukemiaMicroRNAHematologyMiddle AgedLeukemia Myeloid AcuteMicroRNAsmedicine.anatomical_structurefms-Like Tyrosine Kinase 3OncologyRUNX1chemistryMutationCancer researchFemaleMyelopoiesisK562 Cells
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The role of myoglobin in epithelial cancers: Insights from transcriptomics

2019

The muscle-associated respiratory protein myoglobin (MB) is expressed in multiple types of cancer, including breast and prostate tumors. In Kaplan-Meier analyses of the two tumor types, MB positivity is associated with favorable prognoses. Despite its well-characterized function in myocytes, the role of MB in cancer remains unclear. To study the impact of endogenous MB expression, small interfering RNA MB-knockdown cells were engineered using breast, prostate and colon cancer cell lines (MDA-MB468, LNCaP, DLD-1), and their transcriptomes were investigated using RNA-Seq at different oxygen levels. In MB-positive cells, increased expression of glycolytic genes was observed, which was possibly…

0301 basic medicineMaleCarcinogenesisCellMedizinBreast NeoplasmsBiologymedicine.disease_causeTranscriptome03 medical and health sciences0302 clinical medicinebreast cancer1311 GeneticsCell Line TumorLNCaPGeneticsmedicineHumansGene Regulatory NetworksRNA-SeqhypoxiaMyoglobinCancerProstatic NeoplasmsGeneral MedicineArticlesCell cycle10081 Institute of Veterinary Physiologymedicine.diseaseprostate cancerRespiratory proteinGene Expression Regulation Neoplastic030104 developmental biologymedicine.anatomical_structurecolon cancer030220 oncology & carcinogenesisCancer cellColonic NeoplasmsCancer research570 Life sciences; biologyFemaleCarcinogenesisTranscriptomeInternational Journal of Molecular Medicine
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Dynamics and predicted drug response of a gene network linking dedifferentiation with β-catenin dysfunction in hepatocellular carcinoma

2019

Background & Aims Alterations of individual genes variably affect the development of hepatocellular carcinoma (HCC). Thus, we aimed to characterize the function of tumor-promoting genes in the context of gene regulatory networks (GRNs). Methods Using data from The Cancer Genome Atlas, from the LIRI-JP (Liver Cancer – RIKEN, JP project), and from our transcriptomic, transfection and mouse transgenic experiments, we identify a GRN which functionally links LIN28B-dependent dedifferentiation with dysfunction of β-catenin (CTNNB1). We further generated and validated a quantitative mathematical model of the GRN using human cell lines and in vivo expression data. Results We found that LIN28B and C…

0301 basic medicineBeta-cateninCarcinoma HepatocellularHepatocellular carcinomaLIN28BCellGene regulatory networkPrincipal component analysisMice TransgenicBiologyTransfectionTranscriptomeCohort Studies03 medical and health sciencesMice0302 clinical medicineMathematical modelmicroRNAmedicineAnimalsHumansGene Regulatory NetworksCTNNB1Genebeta CateninHepatologySequence Analysis RNALiver NeoplasmsGene regulatory networkRNA-Binding ProteinsHGF/MET pathwayMicroRNAHep G2 CellsHCCSModels TheoreticalPrognosisPersonalized medicinedigestive system diseases030104 developmental biologymedicine.anatomical_structureCancer researchSMARCA4biology.protein030211 gastroenterology & hepatologyTranscriptome
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