Search results for "computational"

showing 10 items of 5884 documents

Functional comparison of bacteria from the human gut and closely related non-gut bacteria reveals the importance of conjugation and a paucity of moti…

2016

International audience; The human GI tract is a complex and still poorly understood environment, inhabited by one of the densest microbial communities on earth. The gut microbiota is shaped by millennia of evolution to co-exist with the host in commensal or symbiotic relationships. Members of the gut microbiota perform specific molecular functions important in the human gut environment. This can be illustrated by the presence of a highly expanded repertoire of proteins involved in carbohydrate metabolism, in phase with the large diversity of polysaccharides originating from the diet or from the host itself that can be encountered in this environment. In order to identify other bacterial fun…

0301 basic medicine[SDV]Life Sciences [q-bio]lcsh:MedicineGut floraPathology and Laboratory Medicinemedicine.disease_causeBiochemistryDatabase and Informatics MethodsRNA Ribosomal 16SMedicine and Health SciencesDNA metabolismlcsh:SciencePhylogenyProtein MetabolismClostridium BotulinumMultidisciplinarybiologyChemotaxisGastrointestinal Microbiomedigestive oral and skin physiologyHuman microbiomeGenomicsBacterial Physiological PhenomenaGenomic DatabasesAdaptation PhysiologicalBacterial PathogensNucleic acidsMedical MicrobiologyConjugation GeneticPathogensBacteroides thetaiotaomicronResearch ArticleCell PhysiologyBacterial Physiological PhenomenaResearch and Analysis MethodsBiosynthesisMicrobiologydigestive systemMicrobiology03 medical and health sciencesBacterial ProteinsGeneticsmedicineHumansMicrobial PathogensEscherichia coliClostridiumBacteria030102 biochemistry & molecular biologyGut Bacterialcsh:ROrganismsBiology and Life SciencesComputational BiologyChemotaxisCell BiologyDNAGenome Analysisbiology.organism_classificationGastrointestinal MicrobiomeCell MetabolismBiological DatabasesMetabolism030104 developmental biologyEvolutionary biologylcsh:QGenome BacterialBacteria
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Differential long non-coding RNA expression profiles in human oocytes and cumulus cells

2018

AbstractProgress in assisted reproductive technologies strongly relies on understanding the regulation of the dialogue between oocyte and cumulus cells (CCs). Little is known about the role of long non-coding RNAs (lncRNAs) in the human cumulus-oocyte complex (COC). To this aim, publicly available RNA-sequencing data were analyzed to identify lncRNAs that were abundant in metaphase II (MII) oocytes (BCAR4, C3orf56, TUNAR, OOEP-AS1, CASC18, and LINC01118) and CCs (NEAT1, MALAT1, ANXA2P2, MEG3, IL6STP1, and VIM-AS1). These data were validated by RT-qPCR analysis using independent oocytes and CC samples. The functions of the identified lncRNAs were then predicted by constructing lncRNA-mRNA co…

0301 basic medicine[SDV]Life Sciences [q-bio]lcsh:MedicineReproductive technologyBiologyReal-Time Polymerase Chain ReactionArticleChromatin remodeling03 medical and health sciencesmedicineHumanslcsh:ScienceGeneMetaphaseMEG3MALAT1Cumulus CellsMultidisciplinaryReverse Transcriptase Polymerase Chain ReactionGene Expression Profilinglcsh:RComputational BiologyOocyteLong non-coding RNACell biology[SDV] Life Sciences [q-bio]Gene expression profiling030104 developmental biologymedicine.anatomical_structureOocytesRNA Long Noncodinglcsh:Q
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Co-regulation of paralog genes in the three-dimensional chromatin architecture.

2016

Paralog genes arise from gene duplication events during evolution, which often lead to similar proteins that cooperate in common pathways and in protein complexes. Consequently, paralogs show correlation in gene expression whereby the mechanisms of co-regulation remain unclear. In eukaryotes, genes are regulated in part by distal enhancer elements through looping interactions with gene promoters. These looping interactions can be measured by genome-wide chromatin conformation capture (Hi-C) experiments, which revealed self-interacting regions called topologically associating domains (TADs). We hypothesize that paralogs share common regulatory mechanisms to enable coordinated expression acco…

0301 basic medicineanimal structuresComputational biologyBiologyGenomeChromosome conformation capture03 medical and health sciencesMice0302 clinical medicineDogsGene DuplicationGene duplicationGeneticsAnimalsCluster AnalysisHumansPromoter Regions GeneticGeneChIA-PETGenomic organizationGeneticsRegulation of gene expressionGenomefungiGene regulation Chromatin and EpigeneticsComputational BiologyChromatin Assembly and DisassemblyBiological EvolutionChromatinChromatin030104 developmental biologyEnhancer Elements GeneticGene Expression Regulation030217 neurology & neurosurgeryNucleic acids research
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ceRNA Network Regulation of TGF-β, WNT, FOXO, Hedgehog Pathways in the Pharynx of Ciona robusta

2021

The transforming growth factor-β (TGF-β) family of cytokines performs a multifunctional signaling, which is integrated and coordinated in a signaling network that involves other pathways, such as Wintless, Forkhead box-O (FOXO) and Hedgehog and regulates pivotal functions related to cell fate in all tissues. In the hematopoietic system, TGF-β signaling controls a wide spectrum of biological processes, from immune system homeostasis to the quiescence and self-renewal of hematopoietic stem cells (HSCs). Recently an important role in post-transcription regulation has been attributed to two type of ncRNAs: microRNAs and pseudogenes. Ciona robusta, due to its philogenetic position close to verte…

0301 basic medicineascidianpseudogenepseudogeneslcsh:ChemistryTransforming Growth Factor betaProtein Interaction MappingHomeostasisRNA-Seqlcsh:QH301-705.53' Untranslated RegionsSpectroscopyTissue homeostasisForkhead Box Protein O1Wnt signaling pathwayHigh-Throughput Nucleotide Sequencingvirus diseasesGeneral Medicinefemale genital diseases and pregnancy complicationsComputer Science ApplicationsCell biologyNGSStem cellTGF-βCell fate determinationBiologyCatalysisArticleInorganic ChemistryWNT03 medical and health sciencesmicroRNAAnimalsCell LineageHedgehog ProteinsTGF-Physical and Theoretical ChemistryMolecular BiologyHedgehogneoplasmsmiRNA030102 biochemistry & molecular biologyCompeting endogenous RNAOrganic ChemistryfungiComputational BiologyHematopoiesisWnt ProteinsMicroRNAs030104 developmental biologylcsh:Biology (General)lcsh:QD1-999Gene Expression RegulationImmune SystemPharynxFOXOCionaTransforming growth factorInternational Journal of Molecular Sciences
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Holistic Optimization of Bioinformatic Analysis Pipeline for Detection and Quantification of 2′-O-Methylations in RNA by RiboMethSeq

2020

International audience; A major trend in the epitranscriptomics field over the last 5 years has been the high-throughput analysis of RNA modifications by a combination of specific chemical treatment(s), followed by library preparation and deep sequencing. Multiple protocols have been described for several important RNA modifications, such as 5-methylcytosine (m5C), pseudouridine (ψ), 1-methyladenosine (m1A), and 2'-O-methylation (Nm). One commonly used method is the alkaline cleavage-based RiboMethSeq protocol, where positions of reads' 5'-ends are used to distinguish nucleotides protected by ribose methylation. This method was successfully applied to detect and quantify Nm residues in vari…

0301 basic medicinebioinformatic pipelinelcsh:QH426-470Computer scienceComputational biologyDeep sequencingPseudouridine03 medical and health scienceschemistry.chemical_compound0302 clinical medicine[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]ribose methylationEpitranscriptomicsGeneticsGenetics (clinical)receiver operating characteristic2'-O-methylation2′-O-methylationhigh-throughput sequencingRNA[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyBrief Research Reportlcsh:Genetics030104 developmental biologychemistry030220 oncology & carcinogenesisTransfer RNARNAMolecular MedicineSmall nuclear RNAReference genomeFrontiers in Genetics
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An Integrative Framework for the Construction of Big Functional Networks

2018

We present a methodology for biological data integration, aiming at building and analysing large functional networks which model complex genotype-phenotype associations. A functional network is a graph where nodes represent cellular components (e.g., genes, proteins, mRNA, etc.) and edges represent associations among such molecules. Different types of components may cohesist in the same network, and associations may be related to physical[biochemical interactions or functional/phenotipic relationships. Due to both the large amount of involved information and the computational complexity typical of the problems in this domain, the proposed framework is based on big data technologies (Spark a…

0301 basic medicinebiological networkBiological dataTheoretical computer scienceSettore INF/01 - InformaticaComputational complexity theoryComputer sciencebusiness.industryBig dataNoSQLcomputer.software_genreFunctional networks03 medical and health sciences030104 developmental biologyGraph (abstract data type)big data technologiesbig data technologiebusinesscomputerIntegrative approacheBiological network2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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Revealing the Origin of the Efficiency of the De Novo Designed Kemp Eliminase HG-3.17 by Comparison with the Former Developed HG-3

2017

The design of new biocatalysts is a goal in biotechnology to improve the rate, selectivity and environmental impact of industrial chemical processes. In this regard, the use of computational techniques has provided valuable assistance in the design of new enzymes with remarkable catalytic activity. In this paper, hybrid QM/MM molecular dynamics simulations have allowed insights to be gained on the origin of the limited efficiency of a computationally designed enzyme for the Kemp elimination; the HG-3. Comparison of results derived from this enzyme with those of a more evolved protein containing additional point mutations, HG-3.17, rendered important information that should be taken into acc…

0301 basic medicinebiologyChemistryStereochemistryOrganic ChemistryActive siteGeneral Chemistry010402 general chemistry01 natural sciencesCatalysis0104 chemical sciences03 medical and health sciencesMolecular dynamics030104 developmental biologyComputational chemistrybiology.proteinReactivity (chemistry)Oxyanion holeChemistry - A European Journal
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Biotin-Genomic Run-On (Bio-GRO): A High-Resolution Method for the Analysis of Nascent Transcription in Yeast

2016

Transcription is a highly complex biological process, with extensive layers of regulation, some of which remain to be fully unveiled and understood. To be able to discern the particular contributions of the several transcription steps it is crucial to understand RNA polymerase dynamics and regulation throughout the transcription cycle. Here we describe a new nonradioactive run-on based method that maps elongating RNA polymerases along the genome. In contrast with alternative methodologies for the measurement of nascent transcription, the BioGRO method is designed to minimize technical noise that arises from two of the most common sources that affect this type of strategies: contamination wi…

0301 basic medicinebiologySaccharomyces cerevisiaeRNARNA polymerase IIComputational biologybiology.organism_classificationGene expression profiling03 medical and health scienceschemistry.chemical_compound030104 developmental biologychemistryTranscription (biology)RNA polymerasebiology.proteinDNA microarrayPolymerase
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Robust Analysis of Time Series in Virome Metagenomics

2018

Metagenomics is a powerful tool for assessing the functional and taxonomic contents in biological samples as it makes feasible to study, simultaneously, the whole living community related to a host organism or medium: all the microbes, including virus, bacteria, archaea, fungi, and protists. New DNA and RNA sequencing technologies are dramatically decreasing the cost per sequenced base, so metagenomic sequencing is becoming more and more widespread in biomedical and environmental research. This is opening the possibility of complete longitudinal metagenomic studies, which could unravel the dynamics of microbial communities including intra-microbiome and host-microbiome interactions through …

0301 basic medicinebiologySeries (mathematics)Computer scienceFrame (networking)RNAComputational biologybiology.organism_classification03 medical and health scienceschemistry.chemical_compound030104 developmental biologyMicrobial population biologychemistryMetagenomicsHuman viromeRobust analysisProtocol (object-oriented programming)CoevolutionBacteriaDNAArchaea
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The developmental proteome of Drosophila melanogaster

2017

Drosophila melanogaster is a widely used genetic model organism in developmental biology. While this model organism has been intensively studied at the RNA level, a comprehensive proteomic study covering the complete life cycle is still missing. Here, we apply label-free quantitative proteomics to explore proteome remodeling across Drosophila’s life cycle, resulting in 7952 proteins, and provide a high temporal-resolved embryogenesis proteome of 5458 proteins. Our proteome data enabled us to monitor isoform-specific expression of 34 genes during development, to identify the pseudogene Cyp9f3Ψ as a protein-coding gene, and to obtain evidence of 268 small proteins. Moreover, the comparison wi…

0301 basic medicinebiologyved/biologyved/biology.organism_classification_rank.speciesQuantitative proteomicsComputational biologyProteomicsbiology.organism_classificationTranscriptome03 medical and health sciences030104 developmental biologyGenetic modelProteomeGeneticsDrosophila melanogasterModel organismGenetics (clinical)Drosophila ProteinGenome Research
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