Search results for "METAPROTEOMICS"

showing 5 items of 5 documents

gNOMO: a multi-omics pipeline for integrated host and microbiome analysis of non-model organisms

2020

The study of bacterial symbioses has grown exponentially in the recent past. However, existing bioinformatic workflows of microbiome data analysis do commonly not integrate multiple meta-omics levels and are mainly geared toward human microbiomes. Microbiota are better understood when analyzed in their biological context; that is together with their host or environment. Nevertheless, this is a limitation when studying non-model organisms mainly due to the lack of well-annotated sequence references. Here, we present gNOMO, a bioinformatic pipeline that is specifically designed to process and analyze non-model organism samples of up to three meta-omics levels: metagenomics, metatranscriptomic…

AcademicSubjects/SCI01140AcademicSubjects/SCI01060DATABASEComputer scienceAcademicSubjects/SCI00030Context (language use)Standard ArticleComputational biologycomputer.software_genreAcademicSubjects/SCI0118003 medical and health sciences0302 clinical medicineMedicine and Health SciencesMicrobiomeOrganism030304 developmental biology0303 health sciencesCHALLENGESSTABILITYGUT MICROBIOTABiology and Life SciencesPipeline (software)WorkflowPERSPECTIVESMetagenomicsMetaproteomicsAcademicSubjects/SCI00980METAPROTEOMICSCorrigendumcomputer030217 neurology & neurosurgeryData integrationNAR Genomics and Bioinformatics
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Insects’ potential: Understanding the functional role of their gut microbiome

2021

The study of insect-associated microbial communities is a field of great importance in agriculture, principally because of the role insects play as pests. In addition, there is a recent focus on the potential of the insect gut microbiome in areas such as biotechnology, given some microorganisms produce molecules with biotechnological and industrial applications, and also in biomedicine, since some bacteria and fungi are a reservoir of antibiotic resistance genes (ARGs). To date, most studies aiming to characterize the role of the gut microbiome of insects have been based on high-throughput sequencing of the 16S rRNA gene and/or metagenomics. However, recently functional approaches such as m…

Functional roleInsectaClinical BiochemistryPharmaceutical ScienceComputational biology01 natural sciencesAnalytical ChemistryMetabolomicsRNA Ribosomal 16SDrug DiscoveryAnimalsSpectroscopyBiomedicine010405 organic chemistrybusiness.industryChemistryMicrobiota010401 analytical chemistryGut microbiomeGastrointestinal Microbiome0104 chemical sciencesMetagenomicsMetaproteomicsMetagenomicsbusinessAntibiotic resistance genesJournal of Pharmaceutical and Biomedical Analysis
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Gut microbiota disturbance during antibiotic therapy: a multi-omic approach

2014

It is known that the gastrointestinal tract (GIT) microbiota responds to different antibiotics in different ways and that while some antibiotics do not induce disturbances of the community, others drastically influence the richness, diversity, and prevalence of bacterial taxa. However, the metabolic consequences thereof, independent of the degree of the community shifts, are not clearly understood. In a recent article, we used an integrative OMICS approach to provide new insights into the metabolic shifts caused by antibiotic disturbance. The study presented here further suggests that specific bacterial lineage blooms occurring at defined stages of antibiotic intervention are mostly associa…

MaleAnabolismAntibioticsGene ExpressionGut floraGastrointestinal FunctionBioinformaticsprokaryotesFecesRNA Ribosomal 16SSystems and Synthetic Biologyhuman fecal microbiota1506MetaproteomicGut Microbiotadatabase2. Zero hungerlong-term impactsGastrointestinal tract0303 health sciencesSysteem en Synthetische Biologiehuman intestinal microbiotabiologyMicrobiotaGastroenterologyBiodiversity3. Good healthAnti-Bacterial AgentsBacterial Typing TechniquesArticle AddendumRNA BacterialInfectious DiseasesMetabolomecommunitymetaproteomicsHuman gut microbiotaMicrobiology (medical)DNA BacterialDisturbance (geology)medicine.drug_classperturbationMetabolomicbeta-LactamsMicrobiologyMicrobiologyresistance03 medical and health sciencesMetagenomicAntibiotic therapyMetabolomemedicineHumans030304 developmental biologyAgedVLAGBacteria030306 microbiologyGene Expression ProfilingColonic MicrofloraAkkermansiaAntibiotic therapybiology.organism_classificationGastrointestinal TractEnterococcusGene Expression RegulationMetaproteomicsMetatranscriptomicGastrointestinal functionmetabolismMeta-Analysis
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Omics approaches to study the oral microbiome

2015

Introducción La visión clásica de los microorganismos como agentes infecciosos ha propiciado que se consideren como meros agentes causales de enfermedades. Sin embargo, la larga historia de coexistencia entre microorganismos y los seres humanos, ha hecho que ambos se hayan adaptado mutuamente y coevolucionen (Dubos et al. 1965, McFall-Ngai 2002)⁠. De hecho, en el cuerpo humano habitan 1014 células bacterianas, un orden de magnitud más que células humanas (Savage 1977)⁠. Entre los beneficios que la microbiota aporta, están su contribución a digerir alimentos y a aportar nutrientes, regulación del metabolismo, maduración del sistema inmune, etc. Por ello, hoy en día las enfermedades de origen…

Oral MicrobiologyMetaproteomicsUNESCO::CIENCIAS DE LA VIDA::Microbiología ::Metabolismo bacterianoDental cariesMetagenomics:CIENCIAS DE LA VIDA::Biología molecular ::Biología molecular de microorganismos [UNESCO]UNESCO::CIENCIAS DE LA VIDA::Biología molecular ::Biología molecular de microorganismos:CIENCIAS DE LA VIDA::Microbiología ::Metabolismo bacteriano [UNESCO]Metatranscriptomics
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Metaproteomic analysis of atmospheric aerosol samples.

2016

Metaproteomic analysis of air particulate matter provides information about the abundance and properties of bioaerosols in the atmosphere and their influence on climate and public health. We developed and applied efficient methods for the extraction and analysis of proteins from glass fiber filter samples of total, coarse, and fine particulate matter. Size exclusion chromatography was applied to remove matrix components, and sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) was applied for protein fractionation according to molecular size, followed by in-gel digestion and LC-MS/MS analysis of peptides using a hybrid Quadrupole-Orbitrap MS. Maxquant software and the Swiss-…

Proteomics010504 meteorology & atmospheric sciencesSize-exclusion chromatographyIndoor bioaerosolFractionation010501 environmental sciences01 natural sciencesBiochemistryAnalytical ChemistryMatrix (chemical analysis)Fungal ProteinsBacterial ProteinsMetaproteomicsTandem Mass SpectrometryDatabases ProteinChromatography High Pressure Liquid0105 earth and related environmental sciencesPlant ProteinsAerosolsFungal proteinAir PollutantsChromatographyMass spectrometryChemistryAtmosphereProteinsParticulatesAllergensAtmospheric aerosolsAerosolEnvironmental chemistryBioanalytical methodsParticleElectrophoresis Polyacrylamide GelParticulate MatterHPLCResearch PaperAnalytical and bioanalytical chemistry
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