Search results for "47"

showing 10 items of 1382 documents

A Methodological Framework to Discover Pharmacogenomic Interactions Based on Random Forests

2021

The identification of genomic alterations in tumor tissues, including somatic mutations, deletions, and gene amplifications, produces large amounts of data, which can be correlated with a diversity of therapeutic responses. We aimed to provide a methodological framework to discover pharmacogenomic interactions based on Random Forests. We matched two databases from the Cancer Cell Line Encyclopaedia (CCLE) project, and the Genomics of Drug Sensitivity in Cancer (GDSC) project. For a total of 648 shared cell lines, we considered 48,270 gene alterations from CCLE as input features and the area under the dose-response curve (AUC) for 265 drugs from GDSC as the outcomes. A three-step reduction t…

0301 basic medicineRandom ForestsPharmacogenomic Variantsdrug responseGenomicsComputational biologycell linesBiologyQH426-470Article03 medical and health sciences0302 clinical medicineNeoplasmsDrug responseGeneticsHumanscancerGene Regulatory Networksgenomic alterationGenetics (clinical)Random Forestcell linegenomic alterationsTumor tissueRandom forestpharmacogenomic interactions030104 developmental biologyConcordance correlation coefficientDrug Resistance Neoplasm030220 oncology & carcinogenesisPharmacogenomicsIdentification (biology)pharmacogenomic interactions.Cancer cell linesAlgorithmsGenome-Wide Association StudyGenes
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The SAGA/TREX‑2 subunit Sus1 binds widely to transcribed genes and affects mRNA turnover globally

2018

Abstract Background Eukaryotic transcription is regulated through two complexes, the general transcription factor IID (TFIID) and the coactivator Spt–Ada–Gcn5 acetyltransferase (SAGA). Recent findings confirm that both TFIID and SAGA contribute to the synthesis of nearly all transcripts and are recruited genome-wide in yeast. However, how this broad recruitment confers selectivity under specific conditions remains an open question. Results Here we find that the SAGA/TREX-2 subunit Sus1 associates with upstream regulatory regions of many yeast genes and that heat shock drastically changes Sus1 binding. While Sus1 binding to TFIID-dominated genes is not affected by temperature, its recruitmen…

0301 basic medicineSaccharomyces cerevisiae Proteinslcsh:QH426-470Transcription GeneticSAGASaccharomyces cerevisiaeBiologySus103 medical and health sciencesTranscripció genèticaTranscription (biology)Stress PhysiologicalGene Expression Regulation FungalCoactivatorGeneticsTranscriptional regulationRNA MessengerPromoter Regions GeneticMolecular BiologyGeneGeneral transcription factorResearchEukaryotic transcriptionNuclear ProteinsRNA-Binding ProteinsRNA FungalCell biologylcsh:Genetics030104 developmental biologyChIP-exoRegulatory sequenceTrans-ActivatorsTranscription factor II DTranscriptionGenèticaProtein BindingGRO
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Function and Evolution of Nematode RNAi Pathways

2019

Selfish genetic elements, like transposable elements or viruses, are a threat to genomic stability. A variety of processes, including small RNA-based RNA interference (RNAi)-like pathways, has evolved to counteract these elements. Amongst these, endogenous small interfering RNA and Piwi-interacting RNA (piRNA) pathways were implicated in silencing selfish genetic elements in a variety of organisms. Nematodes have several incredibly specialized, rapidly evolving endogenous RNAi-like pathways serving such purposes. Here, we review recent research regarding the RNAi-like pathways of Caenorhabditis elegans as well as those of other nematodes, to provide an evolutionary perspective. We argue tha…

0301 basic medicineSmall RNASmall interfering RNAPiwilcsh:QH426-470nematodePiwi-interacting RNAReviewComputational biologypiRNABiochemistry03 medical and health sciences0302 clinical medicineRNA interference21U RNAGenetics22G RNAGene silencing26G RNAsmall RNAMolecular BiologyCaenorhabditis elegansRdRPbiologyRNAArgonautebiology.organism_classificationArgonautelcsh:Genetics030104 developmental biologysiRNAC. elegans030217 neurology & neurosurgeryNon-Coding RNA
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bookdown: Authoring Books and Technical Documents with R Markdown

2018

0301 basic medicineStatistics and Probabilitybusiness.industry030232 urology & nephrologycomputer.software_genreTechnical documentationWorld Wide Web03 medical and health sciences030104 developmental biology0302 clinical medicineMedicineStatistics Probability and Uncertaintybusinesslcsh:Statisticslcsh:HA1-4737computerSoftwareMarkdownJournal of Statistical Software
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One-Cell Doubling Evaluation by Living Arrays of Yeast, ODELAY!

2016

Abstract Cell growth is a complex phenotype widely used in systems biology to gauge the impact of genetic and environmental perturbations. Due to the magnitude of genome-wide studies, resolution is often sacrificed in favor of throughput, creating a demand for scalable, time-resolved, quantitative methods of growth assessment. We present ODELAY (One-cell Doubling Evaluation by Living Arrays of Yeast), an automated and scalable growth analysis platform. High measurement density and single-cell resolution provide a powerful tool for large-scale multiparameter growth analysis based on the modeling of microcolony expansion on solid media. Pioneered in yeast but applicable to other colony formin…

0301 basic medicineSystems biologySaccharomyces cerevisiaeCellBioengineeringSaccharomyces cerevisiaeInvestigationsBiologyyeastQH426-470lag time03 medical and health sciencesGenetic HeterogeneityLag timeSingle-cell analysismedicinePopulation Heterogeneitycarrying capacityGeneticsDoubling timeMolecular BiologyThroughput (business)Genetics (clinical)030304 developmental biologyCell Proliferation0303 health sciencesGenomeEcology030306 microbiologyCell growthSystems BiologyCell CycleHuman Genomebiology.organism_classificationYeast030104 developmental biologymedicine.anatomical_structurePhenotypeFungalGene-Environment Interactiongrowth ratefitness assessmentGeneric health relevanceGenome FungalSingle-Cell AnalysisBiological systemG3: Genes, Genomes, Genetics
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Biomolecular computers with multiple restriction enzymes

2017

Abstract The development of conventional, silicon-based computers has several limitations, including some related to the Heisenberg uncertainty principle and the von Neumann “bottleneck”. Biomolecular computers based on DNA and proteins are largely free of these disadvantages and, along with quantum computers, are reasonable alternatives to their conventional counterparts in some applications. The idea of a DNA computer proposed by Ehud Shapiro’s group at the Weizmann Institute of Science was developed using one restriction enzyme as hardware and DNA fragments (the transition molecules) as software and input/output signals. This computer represented a two-state two-symbol finite automaton t…

0301 basic medicineTheoretical computer scienceDNA computerlcsh:QH426-4700102 computer and information sciencesBiology01 natural scienceslaw.inventionrestriction enzymesGenomics and Bioinformatics03 medical and health sciencessymbols.namesakeSoftwareDNA computinglawGeneticsNondeterministic finite automatonMolecular BiologyQuantum computerFinite-state machinebusiness.industryConstruct (python library)bioinformaticsDNARestriction enzymelcsh:Genetics030104 developmental biology010201 computation theory & mathematicssymbolsbusinessVon Neumann architectureGenetics and Molecular Biology
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Dom34 Links Translation to Protein O-mannosylation.

2016

In eukaryotes, Dom34 upregulates translation by securing levels of activatable ribosomal subunits. We found that in the yeast Saccharomyces cerevisiae and the human fungal pathogen Candida albicans, Dom34 interacts genetically with Pmt1, a major isoform of protein O-mannosyltransferase. In C. albicans, lack of Dom34 exacerbated defective phenotypes of pmt1 mutants, while they were ameliorated by Dom34 overproduction that enhanced Pmt1 protein but not PMT1 transcript levels. Translational effects of Dom34 required the 5′-UTR of the PMT1 transcript, which bound recombinant Dom34 directly at a CA/AC-rich sequence and regulated in vitro translation. Polysomal profiling revealed that Dom34 stimu…

0301 basic medicineUntranslated regionCancer ResearchGlycosylationMolecular biologyHydrolasesOligonucleotidesGene ExpressionRNA-binding proteinCell Cycle ProteinsYeast and Fungal ModelsPathology and Laboratory MedicineMannosyltransferasesBiochemistryTranscription (biology)Untranslated RegionsCandida albicansMedicine and Health SciencesProtein IsoformsGenetics (clinical)CandidaFungal PathogensNucleotidesMessenger RNACell biologyEnzymesNucleic acidsDenaturationPhenotypesPhenotypeMedical MicrobiologySaccharomyces CerevisiaePathogensResearch ArticleGene isoformSaccharomyces cerevisiae Proteinslcsh:QH426-470NucleasesSaccharomyces cerevisiaeMycologyBiologyResearch and Analysis MethodsMicrobiology03 medical and health sciencesSaccharomycesModel OrganismsRibonucleasesDownregulation and upregulationEndoribonucleasesDNA-binding proteinsGeneticsHumansGeneMicrobial PathogensEcology Evolution Behavior and Systematics030102 biochemistry & molecular biologyOrganismsFungiBiology and Life SciencesProteinsRibosomal RNAbiology.organism_classificationMolecular biologyYeastRNA denaturationlcsh:Genetics030104 developmental biologyMolecular biology techniquesProtein BiosynthesisEnzymologyRNAProtein TranslationRibosomesPLoS Genetics
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Evolutionary redesign of the Atlantic cod (Gadus morhua L.) Toll-like receptor repertoire by gene losses and expansions

2016

AbstractGenome sequencing of the teleost Atlantic cod demonstrated loss of the Major Histocompatibility Complex (MHC) class II, an extreme gene expansion of MHC class I and gene expansions and losses in the innate pattern recognition receptor (PRR) family of Toll-like receptors (TLR). In a comparative genomic setting, using an improved version of the genome, we characterize PRRs in Atlantic cod with emphasis on TLRs demonstrating the loss of TLR1/6, TLR2 and TLR5 and expansion of TLR7, TLR8, TLR9, TLR22 and TLR25. We find that Atlantic cod TLR expansions are strongly influenced by diversifying selection likely to increase the detectable ligand repertoire through neo- and subfunctionalizatio…

0301 basic medicineVDP::Mathematics and natural science: 400::Basic biosciences: 470::Genetics and genomics: 474Major histocompatibility complexArticleEvolution Molecular03 medical and health sciencesPhylogeneticsGadusAnimalsSelection GeneticGeneticsMultidisciplinary030102 biochemistry & molecular biologybiologyGene Expression ProfilingToll-Like ReceptorsPattern recognition receptorGene Expression Regulation DevelopmentalTLR8biology.organism_classificationGene expression profiling030104 developmental biologyGadus morhuabiology.proteinSubfunctionalizationAtlantic codScientific Reports
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Susceptibility to Heart Defects in Down Syndrome Is Associated with Single Nucleotide Polymorphisms in HAS 21 Interferon Receptor Cluster and VEGFA G…

2020

Background: Congenital heart defects (CHDs) are present in about 40&ndash

0301 basic medicineVEGFAAdultHeart Defects CongenitalMaleVascular Endothelial Growth Factor ADown syndromelcsh:QH426-470AdolescentChromosomes Human Pair 21Down syndromeSNPSingle-nucleotide polymorphismBiologyPolymorphism Single NucleotideArticle03 medical and health sciencesHeart disorder0302 clinical medicineGenotypeGeneticsmedicineHumansGeneGenetics (clinical)IFNRReceptors InterferonGeneticsmedicine.diseasePhenotypeHeart defectlcsh:GeneticsVascular endothelial growth factor A030104 developmental biologySettore MED/03 - Genetica Medica030220 oncology & carcinogenesisMultigene Familyheart defectsFemaleChromosome 21SNPsGenes
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The ‘Shellome’ of the Crocus Clam Tridacna crocea Emphasizes Essential Components of Mollusk Shell Biomineralization

2021

Molluscan shells are among the most fascinating research objects because of their diverse morphologies and textures. The formation of these delicate biomineralized structures is a matrix-mediated process. A question that arises is what are the essential components required to build these exoskeletons. In order to understand the molecular mechanisms of molluscan shell formation, it is crucial to identify organic macromolecules in different shells from diverse taxa. In the case of bivalves, however, taxon sampling in previous shell proteomics studies are focused predominantly on representatives of the class Pteriomorphia such as pearl oysters, edible oysters and mussels. In this study, we hav…

0301 basic medicine[CHIM.POLY] Chemical Sciences/Polymers[SPI.GPROC] Engineering Sciences [physics]/Chemical and Process EngineeringproteomeTridacna croceaJAPANESE PEARL OYSTERQH426-470[SPI.MAT] Engineering Sciences [physics]/Materials[SPI.MAT]Engineering Sciences [physics]/Materials03 medical and health sciences[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]Genetics[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering14. Life underwaterMolluscaGenetics (clinical)Original Research030102 biochemistry & molecular biologybiology[CHIM.ORGA]Chemical Sciences/Organic chemistryfungibiology.organism_classificationBivalviabiomineralization[CHIM.ORGA] Chemical Sciences/Organic chemistryTridacnaPteriomorphiaMytilusBivalvia030104 developmental biology[CHIM.POLY]Chemical Sciences/PolymersEvolutionary biologyMolluscaProteomeMolecular Medicineshell formationHeterodontatranscriptomeBiomineralization
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