Search results for "lcsh:QH426-470"

showing 10 items of 210 documents

Non-Coding RNAs in Multiple Myeloma Bone Disease Pathophysiology

2020

Bone remodeling is uncoupled in the multiple myeloma (MM) bone marrow niche, resulting in enhanced osteoclastogenesis responsible of MM-related bone disease (MMBD). Several studies have disclosed the mechanisms underlying increased osteoclast formation and activity triggered by the various cellular components of the MM bone marrow microenvironment, leading to the identification of novel targets for therapeutic intervention. In this regard, recent attention has been given to non-coding RNA (ncRNA) molecules, that finely tune gene expression programs involved in bone homeostasis both in physiological and pathological settings. In this review, we will analyze major signaling pathways involved …

0301 basic medicinelcsh:QH426-470Bone diseasenon-coding RNAReviewBiologyBiochemistryBone remodeling03 medical and health sciences0302 clinical medicineOsteoclastmicroRNAGeneticsmedicinetumor microenvironmentMolecular BiologyMultiple myelomamiRNAlong non-coding RNAmedicine.diseaseNon-coding RNALong non-coding RNAmultiple myelomalcsh:Genetics030104 developmental biologymedicine.anatomical_structure030220 oncology & carcinogenesisCancer researchbone diseaseBone marrowNon-Coding RNA
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ROS and Lipid Droplet accumulation induced by high glucose exposure in healthy colon and Colorectal Cancer Stem Cells

2020

Lipid Droplets (LDs) are emerging as crucial players in colon cancer development and maintenance. Their expression has been associated with high tumorigenicity in Cancer Stem Cells (CSCs), so that they have been proposed as a new functional marker in Colorectal Cancer Stem Cells (CR-CSCs). They are also indirectly involved in the modulation of the tumor microenvironment through the production of pro-inflammatory molecules. There is growing evidence that a possible connection between metabolic alterations and malignant transformation exists, although the effects of nutrients, primarily glucose, on the CSC behavior are still mostly unexplored. Glucose is an essential fuel for cancer cells, an…

0301 basic medicinelcsh:QH426-470Colorectal cancerColorectal cancer stem cellsSettore MED/50 - Scienze Tecniche Mediche ApplicateLipid dropletBiochemistryMalignant transformation03 medical and health sciences0302 clinical medicineCancer stem cellLipid dropletFull Length ArticlemedicineCholesterol metabolismMolecular BiologyOncogeneGenetics (clinical)PI3K/AKT/mTOR pathwaySettore MED/04 - Patologia Generalelcsh:R5-920Tumor microenvironmentChemistryPI3K-AKTColorectal cancer stem cellCell BiologyOncogenesmedicine.diseaseLipid droplets3. Good healthlcsh:GeneticsSettore BIO/12 - Biochimica Clinica E Biologia Molecolare Clinica030104 developmental biologyOxidative stress030220 oncology & carcinogenesisFatty acid metabolismCancer cellCancer researchOxidative streSettore MED/46 - Scienze Tecniche Di Medicina Di LaboratorioStem cellHigh glucoselcsh:Medicine (General)Genes & Diseases
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Methods for RNA Modification Mapping Using Deep Sequencing: Established and New Emerging Technologies

2019

New analytics of post-transcriptional RNA modifications have paved the way for a tremendous upswing of the biological and biomedical research in this field. This especially applies to methods that included RNA-Seq techniques, and which typically result in what is termed global scale modification mapping. In this process, positions inside a cell`s transcriptome are receiving a status of potential modification sites (so called modification calling), typically based on a score of some kind that issues from the particular method applied. The resulting data are thought to represent information that goes beyond what is contained in typical transcriptome data, and hence the field has taken to use …

0301 basic medicinelcsh:QH426-470Computer scienceProcess (engineering)Emerging technologieschemical treatmentNext Generation Sequencingengineered Reverse Transcriptase enzymesRNA-SeqReviewcomputer.software_genreDeep sequencingField (computer science)deep sequencing03 medical and health sciences0302 clinical medicineepitranscriptome[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]GeneticsAnimalsHumansRNA-SeqRNA Processing Post-TranscriptionalComputingMilieux_MISCELLANEOUSGenetics (clinical)Sequence Analysis RNAbusiness.industryScale (chemistry)High-Throughput Nucleotide Sequencing[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyRNA modificationTerm (time)lcsh:Genetics030104 developmental biologyAnalyticsRNAData miningbusinesscomputer030217 neurology & neurosurgeryGenes
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Manganese Ions Individually Alter the Reverse Transcription Signature of Modified Ribonucleosides

2020

Reverse transcription of RNA templates containing modified ribonucleosides transfers modification-related information as misincorporations, arrest or nucleotide skipping events to the newly synthesized cDNA strand. The frequency and proportion of these events, merged from all sequenced cDNAs, yield a so-called RT signature, characteristic for the respective RNA modification and reverse transcriptase (RT). While known for DNA polymerases in so-called error-prone PCR, testing of four different RTs by replacing Mg2+ with Mn2+ in reaction buffer revealed the immense influence of manganese chloride on derived RT signatures, with arrest rates on m1A positions dropping from 82% down to 24%. Additi…

0301 basic medicinelcsh:QH426-470DNA polymerasechemistry.chemical_elementManganeseSaccharomyces cerevisiaeRT signature[SDV.BBM.BM] Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biology01 natural sciencesArticle03 medical and health sciencesm1ARNA modificationsComplementary DNA[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]GeneticsNucleotidem<sup>1</sup>ABase PairingGenetics (clinical)PolymeraseComputingMilieux_MISCELLANEOUSchemistry.chemical_classificationIonsManganesebiology010405 organic chemistryRNARNA-Directed DNA Polymerase[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyreverse transcriptionMolecular biologyReverse transcriptase0104 chemical scienceslcsh:Genetics030104 developmental biologyTemplatechemistrybiology.proteinRNA[SDV.BBM.GTP] Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]Ribonucleosidesmanganese chloride
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Graphical Workflow System for Modification Calling by Machine Learning of Reverse Transcription Signatures

2019

Modification mapping from cDNA data has become a tremendously important approach in epitranscriptomics. So-called reverse transcription signatures in cDNA contain information on the position and nature of their causative RNA modifications. Data mining of, e.g. Illumina-based high-throughput sequencing data, is therefore fast growing in importance, and the field is still lacking effective tools. Here we present a versatile user-friendly graphical workflow system for modification calling based on machine learning. The workflow commences with a principal module for trimming, mapping, and postprocessing. The latter includes a quantification of mismatch and arrest rates with single-nucleotide re…

0301 basic medicinelcsh:QH426-470Downstream (software development)Computer scienceRT signatureMachine learningcomputer.software_genre[SDV.BBM.BM] Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyField (computer science)m1A03 medical and health sciencesRNA modifications0302 clinical medicineEpitranscriptomics[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]GeneticsTechnology and CodeGalaxy platformGenetics (clinical)ComputingMilieux_MISCELLANEOUSbusiness.industryPrincipal (computer security)[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyAutomationWatson–Crick faceVisualizationlcsh:Geneticsmachine learningComputingMethodologies_PATTERNRECOGNITION030104 developmental biologyWorkflow030220 oncology & carcinogenesisMolecular Medicine[SDV.BBM.GTP] Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]TrimmingArtificial intelligencebusinesscomputer
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RNA Modifications Modulate Activation of Innate Toll-Like Receptors

2019

Self/foreign discrimination by the innate immune system depends on receptors that identify molecular patterns as associated to pathogens. Among others, this group includes endosomal Toll-like receptors, among which Toll-like receptors (TLR) 3, 7, 8, and 13 recognize and discriminate mammalian from microbial, potentially pathogen-associated, RNA. One of the discriminatory principles is the recognition of endogenous RNA modifications. Previous work has identified a couple of RNA modifications that impede activation of TLR signaling when incorporated in synthetic RNA molecules. Of note, work that is more recent has now shown that RNA modifications in their naturally occurring context can have …

0301 basic medicinelcsh:QH426-470EndosomeContext (language use)ReviewBiology03 medical and health sciences0302 clinical medicineRNA modificationsGeneticsAnimalsHumansGenetics(clinical)RNA Processing Post-TranscriptionalReceptorGeneinnate immunityGenetics (clinical)Innate immune systemRNATLR7Immunity InnateCell biologyToll-like receptorslcsh:Genetics030104 developmental biologyTransfer RNAmethylation030215 immunologyGenes
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“Out of the can”: a draft genome assembly, liver transcriptome, and nutrigenomics of the european sardine, sardina pilchardus

2018

Clupeiformes, such as sardines and herrings, represent an important share of worldwide fisheries. Among those, the European sardine (Sardina pilchardus, Walbaum 1792) exhibits significant commercial relevance. While the last decade showed a steady and sharp decline in capture levels, recent advances in culture husbandry represent promising research avenues. Yet, the complete absence of genomic resources from sardine imposes a severe bottleneck to understand its physiological and ecological requirements. We generated 69 Gbp of paired-end reads using Illumina HiSeq X Ten and assembled a draft genome assembly with an N50 scaffold length of 25,579 bp and BUSCO completeness of 82.1% (Actinoptery…

0301 basic medicinelcsh:QH426-470European sardineSequence assemblyLong chain polyunsaturated fatty acidscomparative genomicsBiologyteleostsliverphylogenyGenomesardineArticleTeleostsanimal tissueTranscriptome03 medical and health sciencesnutrigenomicsGeneticsOily fish14. Life underwatergenomeGenetics (clinical)Sardina pilchardusComparative genomicsnonhumanteleostspecies diversitydraft genomespecies conservationComparative genomicsSardineClupeiformesphylogenomicsmarine speciesbiology.organism_classificationpolyunsaturated fatty acid3. Good healthlcsh:Genetics030104 developmental biologyNutrigenomicsEvolutionary biologygenome sizeDraft genomebiosynthesistranscriptomelong chain polyunsaturated fatty acids
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Epigenetic Regulation in the Pathogenesis of Sjögren Syndrome and Rheumatoid Arthritis

2019

Autoimmune rheumatic diseases, such as Sjögren syndrome (SS) and rheumatoid arthritis (RA), are characterized by chronic inflammation and autoimmunity, which cause joint tissue damage and destruction by triggering reduced mobility and debilitation in patients with these diseases. Initiation and maintenance of chronic inflammatory stages account for several mechanisms that involve immune cells as key players and the interaction of the immune cells with other tissues. Indeed, the overlapping of certain clinical and serologic manifestations between SS and RA may indicate that numerous immunologic-related mechanisms are involved in the physiopathology of both these diseases. It is widely accept…

0301 basic medicinelcsh:QH426-470InflammationReviewmedicine.disease_causeAutoimmunityPathogenesis03 medical and health sciences0302 clinical medicineImmune systemImmunitymicroRNAGeneticsmedicineautoimmune diseasesEpigeneticsepigenetic pathwaysGenetics (clinical)DNA methylationepigeneticshistone modificationsbusiness.industrylcsh:Genetics030104 developmental biology030220 oncology & carcinogenesismiRNAsDNA methylationImmunologyrheumatic diseasesMolecular Medicinemedicine.symptombusinessFrontiers in Genetics
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Draft genome of Leisingera aquaemixtae CECT 8399T, a member of the Roseobacter clade isolated from a junction of fresh and ocean water in Jeju Island…

2016

We report the draft genome sequence and annotation of Leisingera aquaemixtae CECT 8399T (DDBJ/EMBL/GenBank accession number CYSR00000000) which comprises 4,614,060 bp, 4313 protein coding genes, 54 tRNA coding genes and 7 rRNA coding genes. General findings of the annotated genome, such as pigment indigoidine operon, phenylacetate oxidation genes or predictable number of replicons, are commented in comparison to other Leisingera species. Average Nucleotide Identity between available genomes of type strains of species of Leisingera and Phaeobacter genera has been calculated to evaluate its current classification. Keywords: Rhodobacteraceae, Phaeobacter, Ectoine, Indigoidine, Phenylacetate de…

0301 basic medicinelcsh:QH426-470Operon030106 microbiologyPhenylacetate degradationBiochemistryGenome03 medical and health sciencesData in BriefGeneticsLeisingeraRhodobacteraceaeGeneIndigoidineWhole genome sequencingGeneticsbiologyAccession number (library science)Roseobacterbiology.organism_classificationlcsh:Genetics030104 developmental biologyGenBankMolecular MedicineEctoinePhaeobacterBiotechnologyGenomics Data
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Comparative Genomics Between Saccharomyces kudriavzevii and S. cerevisiae Applied to Identify Mechanisms Involved in Adaptation

2019

Yeasts belonging to the Saccharomyces genus play an important role in human-driven fermentations. The species S. cerevisiae has been widely studied because it is the dominant yeast in most fermentations and it has been widely used as a model eukaryotic organism. Recently, other species of the Saccharomyces genus are gaining interest to solve the new challenges that the fermentation industry are facing. One of these species is S. kudriavzevii, which exhibits interesting physiological properties compared to S. cerevisiae, such as a better adaptation to grow at low temperatures, a higher glycerol synthesis and lower ethanol production. The aim of this study is to understand the molecular basis…

0301 basic medicinelcsh:QH426-470Saccharomyces cerevisiaecomparative genomicsSaccharomyces cerevisiaeGenomeSaccharomyces03 medical and health sciences0302 clinical medicinepositive selectionfunctional divergenceGeneticsFunctional divergenceS. kudriavzeviiGeneGenetics (clinical)Comparative genomicsGeneticsbiologyComparative genomicsEvolutionary ratebiology.organism_classificationYeastPositive selectionlcsh:Genetics030104 developmental biology030220 oncology & carcinogenesisevolutionary rateMolecular MedicineSaccharomyces kudriavzeviiFunctional divergence
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