Search results for "genetic processes"

showing 10 items of 25 documents

Cloning and sequencing of the dnaK region of Streptomyces coelicolor A3(2)

1993

Abstract The dnaK homologue of Streptomyces coelicolor A3(2) strain M145 has been cloned and sequenced. Nucleotide sequence analysis of a 2.5-kb region revealed an open reading frame (ORF) encoding a predicted DnaK protein of 618 amino acids (Mr = 66 274). The dnaK coding sequence displays extreme codon bias and shows a strong preference for CGY and GGY, for Arg and Gly codons, respectively. The predicted DnaK sequence has a high Lys:Arg ratio which is not typical of streptomycete proteins. The region immediately downstream from dnaK contains an ORF for a GrpE-like protein; the predicted start codon of grpE overlaps the last two codons of dnaK, indicating that the two genes are translationa…

DNA BacterialMolecular Sequence Datagenetic processesBacterial ProteinsStart codonGeneticsCoding regionHSP70 Heat-Shock ProteinsAmino Acid SequenceCloning MolecularCodonGeneHeat-Shock Proteinschemistry.chemical_classificationGeneticsBase SequencebiologyEscherichia coli ProteinsStreptomyces coelicolorNucleic acid sequenceStreptococcusGeneral Medicinebiology.organism_classificationAmino acidOpen reading framechemistryGenes BacterialProtein BiosynthesisCodon usage biasbiological sciencesbacteriaSequence AlignmentGene
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Comparison of RNA-seq and microarray-based models for clinical endpoint prediction

2015

Background Gene expression profiling is being widely applied in cancer research to identify biomarkers for clinical endpoint prediction. Since RNA-seq provides a powerful tool for transcriptome-based applications beyond the limitations of microarrays, we sought to systematically evaluate the performance of RNA-seq-based and microarray-based classifiers in this MAQC-III/SEQC study for clinical endpoint prediction using neuroblastoma as a model. Results We generate gene expression profiles from 498 primary neuroblastomas using both RNA-seq and 44 k microarrays. Characterization of the neuroblastoma transcriptome by RNA-seq reveals that more than 48,000 genes and 200,000 transcripts are being …

AdultMaleMicroarrayAdolescentEndpoint DeterminationNEUROBLASTOMA PATIENTSgenetic processesRNA-SeqBiologyBioinformaticsRISK STRATIFICATIONTranscriptomeNeuroblastomaYoung AdultREPRODUCIBILITYClinical endpointTumor Cells CulturedBREAST-CANCERHumansnatural sciencesTRANSCRIPTOMEChildGENE-EXPRESSIONOligonucleotide Array Sequence AnalysisSettore BIO/11 - BIOLOGIA MOLECOLAREEXPRESSION-BASED CLASSIFICATIONModels GeneticSequence Analysis RNAGene Expression ProfilingResearchSIGNATUREInfant NewbornBiology and Life SciencesInfantHuman genetics3. Good healthPROSTATE-CANCERGene expression profilingDIFFERENTIATIONChild PreschoolEndpoint DeterminationFemaleDNA microarray
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Prognostic Impact of let-7e MicroRNA and Its Target Genes in Localized High-Risk Intestinal GIST: A Spanish Group for Research on Sarcoma (GEIS) Study

2020

MicroRNAs (miRNAs) are small non-coding RNAs that negatively regulate gene expression at the post-transcriptional level, and they have been described as being associated with tumor prognosis. Here, miRNA profiling was planned to explore new molecular prognostic biomarkers in localized intestinal high-risk GIST. Paraffin tumor blocks of 14 and 86 patients were used in the discovery and expansion sets, respectively. GeneChip miRNA v3.0 was employed to identify the miRNAs differentially expressed between relapsed and non-relapsed patient samples, which were validated in the expansion set, by qRT-PCR. RT2 Profiler PCR Array was used for the screening of let-7e targets. Expression levels were co…

caspase-3Cancer Research<i>let-7e</i>Biologylcsh:RC254-282prognostic biomarkers:Phenomena and Processes::Genetic Phenomena::Genetic Processes::Gene Expression [Medical Subject Headings]miR-550:Organisms::Eukaryota::Animals::Chordata::Vertebrates::Mammals::Primates::Haplorhini::Catarrhini::Hominidae::Humans [Medical Subject Headings]:Chemicals and Drugs::Enzymes and Coenzymes::Enzymes::Hydrolases::Peptide Hydrolases::Endopeptidases::Cysteine Endopeptidases::Caspases::Caspases Effector::Caspase 3 [Medical Subject Headings]microRNAGene expressionmedicine:Chemicals and Drugs::Biological Factors::Biological Markers [Medical Subject Headings]Mirna profilingGastrointestinal stromal tumors:Chemicals and Drugs::Organic Chemicals::Hydrocarbons::Paraffin [Medical Subject Headings]GeneACVR1B:Diseases::Neoplasms::Neoplasms by Histologic Type::Neoplasms Connective and Soft Tissue::Neoplasms Connective Tissue::Gastrointestinal Stromal Tumors [Medical Subject Headings]MicroARNsGiSTTumores del estroma gastrointestinalPronósticoMicroRNAlcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogensmedicine.diseasePrognosislet-7e:Chemicals and Drugs::Nucleic Acids Nucleotides and Nucleosides::Antisense Elements (Genetics)::RNA Antisense::MicroRNAs [Medical Subject Headings]BiomarcadoresOncologyPrognostic biomarkersCaspase-3<i>miR-550</i>Gene chip analysisCancer research:Analytical Diagnostic and Therapeutic Techniques and Equipment::Diagnosis::Prognosis [Medical Subject Headings]Target genesSarcomaGIST
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Similarities and singularities of three DnaK proteins from the cyanobacterium Synechocystis sp. PCC 6803.

2010

In the genome of completely sequenced mesophilic cyanobacterium Synechocystis sp. PCC 6803 three DnaK proteins are encoded, which share a high degree of sequence identity in their N-terminal ATPase region as well as in the adjacent peptide-binding domain. However, as typical for DnaK proteins, the C-termini of the three Synechocystis proteins are highly diverse. To study the functions of the three Synechocystis DnaK proteins in more detail, we have analyzed the abundance of the individual proteins in Synechocystis cells as well as dnaK expression under various stress conditions. The presented results show that all three Synechocystis DnaK proteins interact with the same GrpE nucleotide exch…

Physiologygenetic processesAmino Acid MotifsMolecular Sequence DataSequence alignmentPlant SciencePlasma protein bindingBiologymedicine.disease_causeMicrobiologyConserved sequenceNucleotide exchange factorBacterial ProteinsStress PhysiologicalmedicineHSP70 Heat-Shock ProteinsAmino Acid SequencePeptide sequenceConserved SequenceHeat-Shock ProteinsMutationSynechocystisSynechocystisCell BiologyGeneral MedicineGene Expression Regulation Bacterialbiology.organism_classificationBiochemistrybiological sciencesMutationbacteriaSequence AlignmentFunction (biology)Protein BindingPlantcell physiology
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Arabidopsis TCP Transcription Factors Interact with the SUMO Conjugating Machinery in Nuclear Foci

2017

In Arabidopsis more than 400 proteins have been identified as SUMO targets, both in vivo and in vitro. Among others, transcription factors (TFs) are common targets for SUMO conjugation. Here we aimed to exhaustively screen for TFs that interact with the SUMO machinery using an arrayed yeast two-hybrid library containing more than 1,100 TFs. We identified 76 interactors that foremost interact with the SUMO conjugation enzyme SCE1 and/or the SUMO E3 ligase SIZ1. These interactors belong to various TF families, which control a wide range of processes in plant development and stress signaling. Amongst these interactors, the TCP family was overrepresented with several TCPs interacting with diffe…

0301 basic medicineyeast two-hybridTwo-hybrid screeninggenetic processesSUMO proteinLaboratory of VirologyPlant Sciencemacromolecular substanceslcsh:Plant cultureenvironment and public healthLaboratorium voor Virologie03 medical and health sciencesArabidopsistranscription factorsTranscription factorslcsh:SB1-1110Transcription factorOriginal ResearchGeneticschemistry.chemical_classificationbiologySUMO conjugationChemistryYeast two-hybridbiology.organism_classificationIn vitroYeastCell biologyUbiquitin ligaseenzymes and coenzymes (carbohydrates)030104 developmental biologyEnzymeSUMObiology.proteinhealth occupationsEPSTCP
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Significance of passively induced stretch reflexes on achilles tendon force enhancement

1998

An in vivo buckle transducer technique was applied to study the reflex contribution to ATF enhancement during passive dorsiflexion stretches. Single stretches led to a linear ATF increase in the absence of an EMG reflex response, whereas clear ATF enhancement over the passive component occurred 13-15 ms after the onset of EMG responses. To quantify the reflexly induced increase in ATF, the stretched position was maintained. The mean reflex effect was two to four times greater than the passive stretch effect.

Achilles tendonTendo Calcaneusmedicine.diagnostic_testPhysiologyChemistryvirusesfungigenetic processesElectromyographyAnatomyenvironment and public healthReflex responseCellular and Molecular Neurosciencemedicine.anatomical_structurePhysiology (medical)medicineReflexNeurology (clinical)Stretch reflexmedicine.symptomMuscle contractionBiomedical engineeringMuscle &amp; Nerve
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Characterization of the autoantigen La (SS-B) as a dsRNA unwinding enzyme

1997

During the analysis of the La (SS-B) autoantigen for catalytic activities an ATP-dependent double-stranded RNA unwinding activity was detected. Both native and recombinant La proteins from different species displayed this activity, which could be inhibited by monospecific anti-La antibodies. La protein was able to melt dsRNA substrates with either two 3'-overhangs or a single 3'- and a 5'-overhang. Double-stranded RNAs with two 5'-overhangs were not unwound, indicating that at least one 3'-overhang is required for unwinding. Sequence elements of the La protein that might be involved in dsRNA unwinding, such as an evolutionarily conserved putative ATP-binding motif and an element that is hom…

virusesgenetic processesGene ExpressionRNA-binding proteinBiologyAutoantigensAntibodiesSubstrate SpecificitySingle-stranded binding proteinlaw.inventionMiceAdenosine TriphosphatelawGene expressionEscherichia coliGeneticsAnimalsHumansGeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)Cells CulturedRNA Double-StrandedRibonucleoproteinRNARNA NucleotidyltransferasesProtein kinase RMolecular biologyRecombinant ProteinsRatsenzymes and coenzymes (carbohydrates)RNA silencingLiverRibonucleoproteinsbiology.proteinRecombinant DNAElectrophoresis Polyacrylamide GelRNA HelicasesResearch Article
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Chromatin modifiers and recombination factors promote a telomere fold-back structure, that is lost during replicative senescence.

2020

Telomeres have the ability to adopt a lariat conformation and hence, engage in long and short distance intra-chromosome interactions. Budding yeast telomeres were proposed to fold back into subtelomeric regions, but a robust assay to quantitatively characterize this structure has been lacking. Therefore, it is not well understood how the interactions between telomeres and non-telomeric regions are established and regulated. We employ a telomere chromosome conformation capture (Telo-3C) approach to directly analyze telomere folding and its maintenance in S. cerevisiae. We identify the histone modifiers Sir2, Sin3 and Set2 as critical regulators for telomere folding, which suggests that a dis…

TelomeraseProtein Folding:Chemicals and Drugs::Amino Acids Peptides and Proteins::Proteins::DNA-Binding Proteins::Rad52 DNA Repair and Recombination Protein [Medical Subject Headings]:Chemicals and Drugs::Amino Acids Peptides and Proteins::Proteins::Fungal Proteins::Saccharomyces cerevisiae Proteins [Medical Subject Headings]Gene ExpressionYeast and Fungal ModelsArtificial Gene Amplification and ExtensionQH426-470BiochemistryPolymerase Chain ReactionChromosome conformation captureHistonesCromatina0302 clinical medicineSirtuin 2Macromolecular Structure AnalysisSilent Information Regulator Proteins Saccharomyces cerevisiaeCellular Senescence:Organisms::Eukaryota::Fungi::Yeasts::Saccharomyces::Saccharomyces cerevisiae [Medical Subject Headings]0303 health sciencesChromosome BiologyEukaryota:Phenomena and Processes::Genetic Phenomena::Genetic Processes::DNA Replication [Medical Subject Headings]TelomereSubtelomere:Anatomy::Cells::Cellular Structures::Intracellular Space::Cell Nucleus::Cell Nucleus Structures::Intranuclear Space::Chromosomes::Chromosome Structures::Telomere [Medical Subject Headings]Chromatin3. Good healthChromatinCell biologyNucleic acidsTelomeres:Phenomena and Processes::Cell Physiological Phenomena::Cell Physiological Processes::Cell Cycle::Cell Division::Telomere Homeostasis [Medical Subject Headings]Experimental Organism SystemsDaño del ADNEpigeneticsResearch ArticleSenescenceDNA Replication:Chemicals and Drugs::Enzymes and Coenzymes::Enzymes::Hydrolases::Amidohydrolases::Histone Deacetylases [Medical Subject Headings]Chromosome Structure and FunctionProtein StructureSaccharomyces cerevisiae ProteinsSaccharomyces cerevisiaeBiologyResearch and Analysis MethodsHistone DeacetylasesChromosomes03 medical and health sciencesSaccharomycesModel Organisms:Chemicals and Drugs::Enzymes and Coenzymes::Enzymes::Transferases::One-Carbon Group Transferases::Methyltransferases [Medical Subject Headings]:Chemicals and Drugs::Amino Acids Peptides and Proteins::Proteins::Intracellular Signaling Peptides and Proteins::Sirtuins::Sirtuin 2 [Medical Subject Headings]:Chemicals and Drugs::Amino Acids Peptides and Proteins::Proteins::Fungal Proteins::Saccharomyces cerevisiae Proteins::Silent Information Regulator Proteins Saccharomyces cerevisiae [Medical Subject Headings]DNA-binding proteinsGenetics:Chemicals and Drugs::Enzymes and Coenzymes::Enzymes::Recombinases::Rec A Recombinases::Rad51 Recombinase [Medical Subject Headings]Molecular Biology TechniquesMolecular Biology030304 developmental biologyCromosomasSenescencia celularOrganismsFungiBiology and Life SciencesProteinsTelomere HomeostasisCell BiologyDNAMethyltransferasesG2-M DNA damage checkpointProteína recombinante y reparadora de ADN Rad52YeastTelomereRad52 DNA Repair and Recombination ProteinRepressor ProteinsAnimal Studies:Chemicals and Drugs::Amino Acids Peptides and Proteins::Proteins::Transcription Factors::Repressor Proteins [Medical Subject Headings]DNA damageRad51 RecombinaseHomologous recombination030217 neurology & neurosurgeryTelómeroDNA DamagePLoS Genetics
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Assessment of drainage network analysis methods to rank sediment yield hotspots

2021

This paper aims to test different methods used for assessing sediment yield indices to identify hotspots and rank sediment yield hotspots. This process includes the assessment of the entropy weight...

Sediment yieldcongenital hereditary and neonatal diseases and abnormalitiesRank (linear algebra)genetic processesinformation sciencefood and beveragesEntropy (information theory)Environmental scienceSoil scienceDrainage networkurologic and male genital diseasesAnalysis methodWater Science and TechnologyHydrological Sciences Journal
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Retrotransposon insertions can initiate colorectal cancer and are associated with poor survival

2019

Genomic instability pathways in colorectal cancer (CRC) have been extensively studied, but the role of retrotransposition in colorectal carcinogenesis remains poorly understood. Although retrotransposons are usually repressed, they become active in several human cancers, in particular those of the gastrointestinal tract. Here we characterize retrotransposon insertions in 202 colorectal tumor whole genomes and investigate their associations with molecular and clinical characteristics. We find highly variable retrotransposon activity among tumors and identify recurrent insertions in 15 known cancer genes. In approximately 1% of the cases we identify insertions in APC, likely to be tumor-initi…

0301 basic medicineMaleGenome instabilityMICROSATELLITE INSTABILITYHYPOMETHYLATIONCarcinogenesisColorectal cancergenetic processestransposonitGeneral Physics and AstronomyRetrotransposon02 engineering and technologyKaplan-Meier EstimateGenome0302 clinical medicineCancer genomicslcsh:ScienceGenetics0303 health sciencesGastrointestinal tractMultidisciplinaryQISLAND METHYLATOR PHENOTYPEGastroenterologyfood and beveragesgenomiikkaMiddle Aged021001 nanoscience & nanotechnology3. Good healthGene Expression Regulation NeoplasticCpG sitesyöpägeenit030220 oncology & carcinogenesisDNA methylationAllelic ImbalanceWHOLE-GENOMEFemaleSVA ELEMENTS0210 nano-technologyColorectal NeoplasmsScience3122 Cancersinformation scienceGenomicssuolistosyövätBiologyGeneral Biochemistry Genetics and Molecular BiologyArticleGenomic Instability03 medical and health sciencesCell Line TumormedicineHumansAged030304 developmental biologySOMATIC L1 RETROTRANSPOSITIONCpG Island Methylator PhenotypeGene Expression ProfilingfungiMicrosatellite instabilityGeneral ChemistryDNA Methylationmedicine.diseaseGENEMutagenesis Insertional030104 developmental biologyLong Interspersed Nucleotide ElementsCPGhealth occupationsCancer researchlcsh:QCpG Islands3111 BiomedicineCaco-2 Cells
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