Search results for "transcriptomics"

showing 10 items of 95 documents

Combined omics approaches reveal distinct responses between light and heavy rare earth elements in Saccharomyces cerevisiae

2022

International audience; The rapid development of green energy sources and new medical technologies contributes to the increased exploitation of rare earth elements (REEs). They can be subdivided into light (LREEs) and heavy (HREEs) REEs. Mining, industrial processing, and end-use practices of REEs has led to elevated environmental concentrations and raises concerns about their toxicity to organisms and their impact on ecosystems. REE toxicity has been reported, but its precise underlying molecular effects have not been well described. Here, transcriptomic and proteomic approaches were combined to decipher the molecular responses of the model organism Saccharomyces cerevisiae to La (LREE) an…

Environmental EngineeringlanthanumKey genesHealth Toxicology and Mutagenesis[SDV]Life Sciences [q-bio]ved/biology.organism_classification_rank.speciesSaccharomyces cerevisiaeRare earthSaccharomyces cerevisiaeComputational biology010501 environmental sciences01 natural sciencesMiningTranscriptome03 medical and health sciencesHuman healthtranscriptomicsproteomicsLanthanidesHumansEnvironmental ChemistryModel organismWaste Management and DisposalEcosystem030304 developmental biology0105 earth and related environmental sciences0303 health sciencesbiologyved/biologyChemistryytterbiumbiology.organism_classificationPollutionREEs13. Climate action[SDE]Environmental Sciencescell wallMetals Rare EarthSignalling pathways
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Detecting RNA modifications in the epitranscriptome: predict and validate

2017

RNA modifications are emerging players in the field of post-transcriptional regulation of gene expression, and are attracting a comparable degree of research interest to DNA and histone modifications in the field of epigenetics. We now know of more than 150 RNA modifications and the true potential of a few of these is currently emerging as the consequence of a leap in detection technology, principally associated with high-throughput sequencing. This Review outlines the major developments in this field through a structured discussion of detection principles, lays out advantages and drawbacks of new high-throughput methods and presents conventional biophysical identification of modifications …

Epigenomics0301 basic medicineComputational biologyBiologyEpigenesis Genetic03 medical and health sciences0302 clinical medicine[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]EpitranscriptomicsGeneticsAnimalsHumansEpigeneticsRNA Processing Post-TranscriptionalMolecular BiologyComputingMilieux_MISCELLANEOUSGenetics (clinical)GeneticsRNA[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyComputingMethodologies_PATTERNRECOGNITION030104 developmental biologyGene Expression RegulationRNAIdentification (biology)Transcriptome030217 neurology & neurosurgeryNature Reviews Genetics
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Positioning Europe for the EPITRANSCRIPTOMICS challenge

2018

WOS: 000444092300018 PubMed ID: 29671387 The genetic alphabet consists of the four letters: C, A, G, and T in DNA and C,A,G, and U in RNA. Triplets of these four letters jointly encode 20 different amino acids out of which proteins of all organisms are built. This system is universal and is found in all kingdoms of life. However, bases in DNA and RNA can be chemically modified. In DNA, around 10 different modifications are known, and those have been studied intensively over the past 20years. Scientific studies on DNA modifications and proteins that recognize them gave rise to the large field of epigenetic and epigenomic research. The outcome of this intense research field is the discovery t…

Epigenomics0301 basic medicine[SDV]Life Sciences [q-bio]Gene ExpressionDetection of RNA ModificationEpigenesis GeneticTranscriptomechemistry.chemical_compoundEcologyEvolution & EthologyNeoplasmsRNA NeoplasmEuropean FundingComputingMilieux_MISCELLANEOUSRNA Neoplasm/geneticsEpitranscriptomicsEpigenomicsStem CellsDNA NeoplasmNeoplasms/genetics[SDV] Life Sciences [q-bio]EuropeGene Expression Regulation NeoplasticDetection of RNA modificationGenetics & GenomicsComputational biologyBiologyBiochemistry & ProteomicsENCODE03 medical and health sciencesEpigenomics/standardsEpitranscriptomicsModel systemsHumansEpigeneticsDatabase of ModificationDNA Neoplasm/geneticsMolecular BiologyComputational & Systems BiologyEuropean funding[SDV.GEN]Life Sciences [q-bio]/GeneticsGene Expression ProfilingFOS: Clinical medicineNeurosciencesModel SystemsRNACell Biology030104 developmental biologychemistryGene Expression Profiling/methodsAlphabetTranscriptomeDNARNA Biology
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Deciphering transcriptional regulation mechanisms underlining fruit development and ripening in Vitis vinifera

2019

BACKGROUND: Grapes (Vitis vinifera ) are an important woody crop cultivated in a broad range of environmental conditions. Grapefruit development is a physiological process whose molecular regulatory networks are still not sufficiently investigated. OBJECTIVE: The primary aim of the work was to identify which key genes, molecular mechanisms and networks were involved in fruit ripening and development through a comparison of available transcriptomic data at different stages during grape development and ripening. Secondly, we aimed at identifying among these fruit-related genes, which genes play also a functional role in other developmental and physiological processes in reproductive tissues (…

Fruit developmentSoil ScienceRipeningPlant ScienceHorticultureBiologyBerry ripening fruit development Vitis vinifera meta-analysis RNA-Seq transcriptomicsBiochemistrySettore AGR/03 - Arboricoltura Generale E Coltivazioni ArboreeSettore AGR/07 - Genetica AgrariaSettore BIO/10 - BiochimicaBotanyTranscriptional regulationVitis viniferaAgronomy and Crop ScienceFood ScienceJournal of Berry Research
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iSEE

2018

Provides functions for creating an interactive Shiny-based graphical user interface for exploring data stored in SummarizedExperiment objects, including row- and column-level metadata. Particular attention is given to single-cell data in a SingleCellExperiment object with visualization of dimensionality reduction results.

Gene expressionTranscriptomics
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Stress responses in citrus peel: Comparative analysis of host responses to Huanglongbing disease and puffing disorder

2015

Abstract A comparison between transcriptomic responses to puffing disorder and Huanglongbing disease was conducted to decipher differences and similarities in gene and pathway regulation induced by abiotic (puffing) and biotic stresses (Huanglongbing) in citrus peel tissues. We functionally analyzed two previously published datasets: the first obtained for the study of puffing disorder using an Affymetrix citrus microarray and the second consisting of a deep sequencing analysis of symptomatic responses to Huanglongbing disease. Transcriptomic data were mined using bioinformatic tools to highlight genes and pathways playing a key role in modulating responses to different types of stress in c…

GeneticsMicroarrayStreAbiotic stressCitrufood and beveragesHuanglongbingHorticultureBiotic stressBiologyPuffingDeep sequencingTranscriptomeBiochemistryFruitSettore AGR/07 - Genetica AgrariaHeat shock proteinTranscriptomicsSecondary metabolismGeneScientia Horticulturae
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Novel insights in the genetics of HCC recurrence and advances in transcriptomic data integration.

2011

Background & Aims: In approximately 70% of patients with hepatocellular carcinoma (HCC) treated by resection or ablation, disease recurs within 5 years. Although gene expression signatures have been associated with outcome, there is no method to predict recurrence based on combined clinical, pathology, and genomic data (from tumor and cirrhotic tissue). We evaluated gene expression signatures associated with outcome in a large cohort of patients with early stage (Barcelona-Clinic Liver Cancer 0/A), single-nodule HCC and heterogeneity of signatures within tumor tissues. Methods:We assessed 287 HCC patients undergoing resection and tested genome-wide expression platforms using tumor (n = 287)…

Geneticsmedicine.medical_specialtyHepatologyHepatocellular carcinomaBioinformaticsComparative genomicsHazard ratioHepatologyBiologymedicine.diseaseArticleTranscriptomeComparative transcriptomicsInternal medicineHepatocellular carcinomaGene expressionmedicineGeneticsStage (cooking)Progenitor cellHCCLiver cancerTranscriptomeJournal of hepatology
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Molecular and enological characterization of a natural Saccharomyces uvarum and Saccharomyces cerevisiae hybrid

2015

Available online 17 March 2015

GlycerolOtras Ciencias BiológicasSaccharomyces cerevisiaeHybridsWineSaccharomyces cerevisiaeMicrobiologyAliments MicrobiologiaCiencias BiológicasSaccharomycesSaccharomyces paradoxusFermentacióTranscriptomicsAromaAcetic AcidHybridWinemakingWineGenomebiologyStrain (chemistry)ChimeraGeneral Medicinebiology.organism_classificationYeastBiochemistryFermentationHybridization GeneticTranscriptomeCIENCIAS NATURALES Y EXACTASFood Science
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Contemporary genetic technologies and female reproduction

2012

Background The Fifth Evian Annual Reproduction (EVAR) Workshop Meeting discussed knowledge regarding contemporary genetics in female reproduction. Methods Specialist reproductive medicine clinicians and geneticists delivered presentations based on published literature and current research. The content of this report is based on the expert presentations and subsequent group discussions that took place during this Workshop. Results Numerous ovarian genes with a role in infertility have been identified. Future challenges for genetic screening of patients, such as those with polycystic ovary syndrome, primary ovarian insufficiency or endometriosis, include the identification of high-throughput …

GynecologyInfertilityendometriosismedicine.medical_specialtygenes and female reproductive pathologiesmedia_common.quotation_subjectReproductive medicineMEDLINEEndometriosisObstetrics and GynecologyReviewsBiologymedicine.diseasePolycystic ovarymetabolomicstranscriptomicsReproductive MedicineFamily medicinemedicineIdentification (biology)Reproductionembryo assessmentCorrigendumEmbryo qualitymedia_common
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Poor transcript-protein correlation in the brain: negatively correlating gene products reveal neuronal polarity as a potential cause

2018

Transcription, translation, and turnover of transcripts and proteins are essential for cellular function. The contribution of those factors to protein levels is under debate, as transcript levels and cognate protein levels do not necessarily correlate due to regulation of translation and protein turnover. Here we propose neuronal polarity as a third factor that is particularly evident in the CNS, leading to considerable distances between somata and axon terminals. Consequently, transcript levels may negatively correlate with cognate protein levels in CNS regions, i.e., transcript and protein levels behave reciprocally. To test this hypothesis, we performed an integrative inter-omics study a…

Male0301 basic medicineneuronal polarityintegrative omics[SDV.NEU.NB]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/NeurobiologyBiologynegative transcript|protein correlationProteomicsBiochemistryRats Sprague-DawleyTranscriptome03 medical and health sciencesCellular and Molecular Neurosciencetranscriptomics0302 clinical medicineproteomicsTranscription (biology)[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]AnimalsRNA MessengerGeneNeuronsProtein turnoverBrainCell PolarityProteinsRatsTransport proteinCell biology030104 developmental biologySuperior olivary complexprotein transportFemaleDNA microarray030217 neurology & neurosurgery
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