Search results for "transcriptomic"

showing 10 items of 125 documents

Snapshot liver transcriptome in hepatocellular carcinoma

2012

Lately, advances in high throughput technologies in biomedical research have led to a dramatic increase in the accessibility of molecular insights at different levels of cancer biology such as genome, epigenome, transcriptome, proteome, and others. Among the diverse biological layers, the transcriptome has been most extensively studied especially due to the successful and broad introduction of the microarray technology. The future prospect of broad disposability of deep sequencing technology will furthermore lead to a more sensitive detection of lowly expressed transcripts and to an increase in the number of newly identified transcripts, but also to increase the discovery and characterizati…

Comparative genomicsGeneticsCarcinoma HepatocellularHepatologyHepatocellular carcinomaBioinformaticsComparative genomicsAlternative splicingLiver NeoplasmsEpigenomeBiologyGenomeDeep sequencingTranscriptomeGene Expression Regulation NeoplasticLiverComparative transcriptomicsProteomeGene chip analysisGeneticsHumansHCCTranscriptomeJournal of Hepatology
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ideal: an R/Bioconductor package for interactive differential expression analysis

2020

AbstractBackgroundRNA sequencing (RNA-seq) is an ever increasingly popular tool for transcriptome profiling. A key point to make the best use of the available data is to provide software tools that are easy to use but still provide flexibility and transparency in the adopted methods. Despite the availability of many packages focused on detecting differential expression, a method to streamline this type of bioinformatics analysis in a comprehensive, accessible, and reproducible way is lacking.ResultsWe developed the ideal software package, which serves as a web application for interactive and reproducible RNA-seq analysis, while producing a wealth of visualizations to facilitate data interpr…

Differential expression analysisComputer scienceShinyBioconductorInteractive data analysislcsh:Computer applications to medicine. Medical informaticsReproducible researchBioconductorDifferential expressionCode (cryptography)Transcriptome profilingHumansRNA-SeqTranscriptomicslcsh:QH301-705.5Flexibility (engineering)Ideal (set theory)Base Sequencebusiness.industryData visualizationGene Expression ProfilingRRNAReproducibility of ResultsTransparency (human–computer interaction)Gene Expression Regulationlcsh:Biology (General)Data Interpretation StatisticalWeb applicationlcsh:R858-859.7Software engineeringbusinessSoftwareBMC Bioinformatics
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Transcriptional changes through menstrual cycle reveal a global transcriptional derepression underlying the molecular mechanism involved in the windo…

2021

The human endometrium is a dynamic tissue that only is receptive to host the embryo during a brief time in the middle secretory phase, called the window of implantation (WOI). Despite its importance, regulation of the menstrual cycle remains incompletely understood. The aim of this study was to characterize the gene cooperation and regulation of menstrual cycle progression, to dissect the molecular complexity underlying acquisition of endometrial receptivity for a successful pregnancy, and to provide the scientific community with detailed gene co-expression information throughout the menstrual cycle on a user-friendly web-tool database. A retrospective gene co-expression analysis was perfor…

Embryologysystems biology of the menstrual cycleTranscription Geneticendometrial receptivitymedia_common.quotation_subjectweighted gene correlation network analysis (WGCNA)BiologyCohort StudiesEndometriumgenetic regulation of menstrual cyclePregnancymicroRNAGeneticsHumansEmbryo ImplantationMolecular BiologyGeneTranscription factorgene co-expressionDerepressionMenstrual cycleMenstrual Cycletranscription factormedia_commonrecurrent implantation failuremicroRNAObstetrics and GynecologyGene Expression Regulation DevelopmentalEmbryoCell BiologyGene signatureCell biologyendometrial transcriptomicsnuclear hormone receptorReproductive MedicineNuclear receptorEmbryo LossFemaleTranscriptomeDevelopmental Biology
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An antihypertensive lactoferrin hydrolysate inhibits angiotensin I-converting enzyme, modifies expression of hypertension-related genes and enhances …

2015

This study was aimed to explore whether an antihypertensive lactoferrin hydrolysate (LFH) can inhibit angiotensin I-converting enzyme (ACE) activity and modify the expression of genes related to hypertension in human umbilical vein endothelial cells (HUVEC). LFH induced significant inhibition of ACE activity but it did not affect ACE mRNA levels after 24 h of exposure. LFH treatment significantly affected the expression of genes encoding for proteins involved in nitric oxide pathway such as soluble guanylate cyclase 1 α3 subunit (GUCY1A3; 4.42-fold increase) and nitric oxide synthase trafficking (NOSTRIN; 2.45-fold decrease). Furthermore, expression of the PTGS2/COX-2 gene encoding prostagl…

Endothelial cellsMedicine (miscellaneous)PharmacologyLactoferrin hydrolysateTranscriptomic analysisUmbilical veinNitric oxidechemistry.chemical_compoundDownregulation and upregulationTX341-641Nutrition and DieteticsAngiotensin II receptor type 1biologyNutrition. Foods and food supplyLactoferrinGUCY1A3Nitric oxideACE inhibitionNOSTRINMolecular biologyNitric oxide synthasechemistryNitric Oxide Pathwaybiology.proteinFood Science
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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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