Search results for "Flow"

showing 10 items of 5185 documents

Interleukin-31 and thymic stromal lymphopoietin expression in plasma and lymph node from Hodgkin lymphoma patients

2017

Hodgkin Lymphoma (HL) is a tumor of B-cell origin characterized by Hodgkin and Reed-Stenberg (H/RS) cells embedded in an inflammatory tissue where numerous cytokines/chemokines contribute to shape the microenvironment, leading to the typical clinical symptoms. We investigated: i) the expression of Interleukin-IL-31 (IL-31) and Thymic Stromal Lymphopoietin (TSLP), two Th2-related cytokines with tumor-promoting and pruritogenic functions, and of the respective receptors in HL invaded lymph nodes by flow cytometry, and ii) the potential association of IL-31/TSLP plasma concentrations with clinical characteristics by ELISA. H/RS cells and the major immune cell types infiltrating HL lymph nodes …

0301 basic medicineChemokineThymic stromal lymphopoietinIL-31cytokine receptorsFlow cytometryCytokine receptors; Hodgkin lymphoma; IL-31; PET; TSLP; Oncology03 medical and health sciencesImmune systemcytokine receptors; hodgkin lymphoma; IL-31; pet; tslp; oncologyMedicineReceptorLymph nodebiologymedicine.diagnostic_testbusiness.industryCytokine receptorSettore MED/15 - MALATTIE DEL SANGUEPET030104 developmental biologyInterleukin 31medicine.anatomical_structureOncologyTSLPImmunologybiology.proteinLymphbusinessHodgkin lymphomaResearch PaperOncotarget
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The IgG1 B-cell receptor provides survival and proliferative signals analogue to the Igα but not the Igβ co-receptor.

2016

The function of the IgM B-cell receptor (BCR) is dependent on intact signaling of the co-receptors Igα and Igβ, both of which contain a cytoplasmic tail bearing an immunoreceptor tyrosine-based activation motif. We have previously demonstrated that the cytoplasmic tail of the IgG1 BCR can partially compensate for the loss of the signaling moiety of Igα. Here, we show that unlike Igα, Igβ signaling is indispensable for the development and function of IgG1-expressing B cells. Deletion of the cytoplasmic signaling tail of Igβ compromised the survival and proliferation not only of IgM(+) B cells but also of IgG1-expressing B cells. In the absence of the signaling tail of Igβ, the transcription …

0301 basic medicineCo-receptorImmunologyB-cell receptorbcl-X ProteinReceptors Antigen B-CellBiologyCell Line03 medical and health sciencesTransduction (genetics)Mice0302 clinical medicineTranscription (biology)Immunology and AllergyAnimalsCyclin D2TyrosineReceptorCell ProliferationB-Lymphocytesbreakpoint cluster regionFlow CytometryCell biology030104 developmental biologyImmunoglobulin MCytoplasmImmunoglobulin GCancer researchCD79 Antigens030215 immunologySignal TransductionEuropean journal of immunology
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Differential binding cell-SELEX method to identify cell-specific aptamers using high-throughput sequencing

2018

AbstractAptamers have in recent years emerged as a viable alternative to antibodies. High-throughput sequencing (HTS) has revolutionized aptamer research by increasing the number of reads from a few (using Sanger sequencing) to millions (using an HTS approach). Despite the availability and advantages of HTS compared to Sanger sequencing, there are only 50 aptamer HTS sequencing samples available on public databases. HTS data in aptamer research are primarily used to compare sequence enrichment between subsequent selection cycles. This approach does not take full advantage of HTS because the enrichment of sequences during selection can be due to inefficient negative selection when using live…

0301 basic medicineComputer scienceAptamerlcsh:MedicineGenomicsComputational biologyCell selexLigandsArticleDNA sequencingCell Line03 medical and health sciencessymbols.namesakeNegative selectionDrug Delivery Systems0302 clinical medicineCell Line TumorHumansGenomic librarylcsh:ScienceCarcinoma Renal CellSelection (genetic algorithm)Gene LibrarySanger sequencingMultidisciplinaryMolecular medicinelcsh:RSELEX Aptamer TechniqueHigh-throughput screeningComputational BiologyHigh-Throughput Nucleotide SequencingNucleotide MetabolismGenomicsAptamers NucleotideFlow CytometryMolecular medicineKidney Neoplasms030104 developmental biologyDrug DesignDrug deliverysymbolsNucleic Acid Conformationlcsh:QFunctional genomics030217 neurology & neurosurgerySystematic evolution of ligands by exponential enrichment
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EFMviz

2020

Elementary Flux Modes (EFMs) are a tool for constraint-based modeling and metabolic network analysis. However, systematic and automated visualization of EFMs, capable of integrating various data types is still a challenge. In this study, we developed an extension for the widely adopted COBRA Toolbox, EFMviz, for analysis and graphical visualization of EFMs as networks of reactions, metabolites and genes. The analysis workflow offers a platform for EFM visualization to improve EFM interpretability by connecting COBRA toolbox with the network analysis and visualization software Cytoscape. The biological applicability of EFMviz is demonstrated in two use cases on medium (Escherichia coli, iAF1…

0301 basic medicineComputer scienceEndocrinology Diabetes and Metabolismgenome-scale metabolic modelslcsh:QR1-502computer.software_genreBiochemistryData typelcsh:MicrobiologySBML03 medical and health sciences0302 clinical medicineData visualizationGraph drawingProtocolACETATEdata visualizationCELLSBMLCYTOSCAPEMolecular BiologyGENE-EXPRESSIONSoftware visualizationbusiness.industryPATHWAY ANALYSISnetwork visualizationelementary flux modesToolboxVisualization030104 developmental biologyWorkflowDEFINITIONESCHERICHIA-COLIGROWTHData miningbusinesscomputerSET030217 neurology & neurosurgeryMetabolites
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Quantitatively characterizing drug-induced arrhythmic contractile motions of human stem cell-derived cardiomyocytes.

2018

Quantification of abnormal contractile motions of cardiac tissue has been a noteworthy challenge and significant limitation in assessing and classifying the drug-induced arrhythmias (i.e. Torsades de pointes). To overcome these challenges, researchers have taken advantage of computational image processing tools to measure contractile motion from cardiomyocytes derived from human induced pluripotent stem cells (hiPSC-CMs). However, the amplitude and frequency analysis of contractile motion waveforms doesn't produce sufficient information to objectively classify the degree of variations between two or more sets of cardiac contractile motions. In this paper, we generated contractile motion dat…

0301 basic medicineComputer scienceImage ProcessingComputational algorithmArrhythmiasRegenerative MedicineCardiovascularApplied Microbiology and Biotechnologyphase space reconstruction0302 clinical medicineComputer-AssistedImage Processing Computer-AssistedMyocytes CardiacComputingMilieux_MISCELLANEOUS[ INFO.INFO-IM ] Computer Science [cs]/Medical ImagingStem Cell Research - Induced Pluripotent Stem Cell - HumanOptical ImagingHeart DiseaseNetworking and Information Technology R&DStem cellBiological systemCardiacBiotechnologyCytological TechniquesInduced Pluripotent Stem CellsOptical flowTorsades de pointesImage processingBioengineeringarrhythmiaArticlebiosignal processingoptical flow03 medical and health sciencesMotionMatch movingmedicine[INFO.INFO-IM]Computer Science [cs]/Medical ImagingHumansMyocytesStem Cell Research - Induced Pluripotent Stem CellCardiac arrhythmiaArrhythmias CardiacTissue physiologymedicine.diseaseStem Cell ResearchMyocardial Contractioncardiac motion030104 developmental biology030217 neurology & neurosurgerySoftware
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Principal components analysis: theory and application to gene expression data analysis

2018

Advances in computational power have enabled research to generate significant amounts of data related to complex biological problems. Consequently, applying appropriate data analysis techniques has become paramount to tackle this complexity. However, theoretical understanding of statistical methods is necessary to ensure that the correct method is used and that sound inferences are made based on the analysis. In this article, we elaborate on the theory behind principal components analysis (PCA), which has become a favoured multivariate statistical tool in the field of omics-data analysis. We discuss the necessary prerequisites and steps to produce statistically valid results and provide gui…

0301 basic medicineComputer sciencebusiness.industryAssociation (object-oriented programming)Big dataGenomicsMachine learningcomputer.software_genreField (computer science)03 medical and health sciences030104 developmental biology0302 clinical medicineSoftwareWorkflowPrincipal component analysisData analysisArtificial intelligencebusinesscomputer030217 neurology & neurosurgeryGenomics and Computational Biology
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Guidelines for the use of flow cytometry and cell sorting in immunological studies (second edition)

2019

All authors: Andrea Cossarizza Hyun‐Dong Chang Andreas Radbruch Andreas Acs Dieter Adam Sabine Adam‐Klages William W. Agace Nima Aghaeepour Mübeccel Akdis Matthieu Allez Larissa Nogueira Almeida Giorgia Alvisi Graham Anderson Immanuel Andrä Francesco Annunziato Achille Anselmo Petra Bacher Cosima T. Baldari Sudipto Bari Vincenzo Barnaba Joana Barros‐Martins Luca Battistini Wolfgang Bauer Sabine Baumgart Nicole Baumgarth Dirk Baumjohann Bianka Baying Mary Bebawy Burkhard Becher Wolfgang Beisker Vladimir Benes Rudi Beyaert Alfonso Blanco Dominic A. Boardman Christian Bogdan Jessica G. Borger Giovanna Borsellino Philip E. Boulais Jolene A. Bradford Dirk Brenner Ryan R. Brinkman Anna E. S. Broo…

0301 basic medicineConsensusImmunologyConsensuCell SeparationBiologyArticleFlow cytometry03 medical and health sciences0302 clinical medicineGuidelines ; Immunology ; Flow cytometryAllergy and ImmunologymedicineCell separationImmunology and AllergyHumansguidelines; flow cytometry; immunologymedicine.diagnostic_testBIOMEDICINE AND HEALTHCARE. Basic Medical Sciences.Cell sortingFlow CytometryCell selectionData science3. Good health030104 developmental biologyPhenotypeAllergy and Immunology; Cell Separation; Consensus; Flow Cytometry; Humans; Phenotype[SDV.IMM]Life Sciences [q-bio]/ImmunologyBIOMEDICINA I ZDRAVSTVO. Temeljne medicinske znanosti.030215 immunologyHumanEuropean journal of immunology
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Directional high-throughput sequencing of RNAs without gene-specific primers.

2018

Ribosomal RNA analysis is a useful tool for characterization of microbial communities. However, the lack of broad-range primers has hampered the simultaneous analysis of eukaryotic and prokaryotic members by amplicon sequencing. We present a complete workflow for directional, primer-independent sequencing of size-selected small subunit ribosomal RNA fragments. The library preparation protocol includes gel extraction of the target RNA, ligation of an RNA oligo to the 5′-end of the target, and cDNA synthesis with a tailed random-hexamer primer and further barcoding. The sequencing results of a phytoplankton mock community showed a highly similar profile to the biomass indicators. This method…

0301 basic medicineDNA Complementaryprimer biasComputational biologyBiologylevätGeneral Biochemistry Genetics and Molecular BiologyDNA sequencingWorkflow03 medical and health sciencesribosomitligationGeneDNA PrimersGene Library030102 biochemistry & molecular biologyplanktongeenitekniikkaHigh-Throughput Nucleotide SequencingRibosomal RNAmikrolevätrandom priming030104 developmental biologymikrobistoRNA RibosomalSpecific primersPhytoplanktonphytoplanktonRNAnext-generation sequencingribosomal RNABiotechnologyBioTechniques
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2015

The University of Minnesota Biocatalysis/Biodegradation Database and Pathway Prediction System (UM-BBD/PPS) has been a unique resource covering microbial biotransformation pathways of primarily xenobiotic chemicals for over 15 years. This paper introduces the successor system, enviPath (The Environmental Contaminant Biotransformation Pathway Resource), which is a complete redesign and reimplementation of UM-BBD/PPS. enviPath uses the database from the UM-BBD/PPS as a basis, extends the use of this database, and allows users to include their own data to support multiple use cases. Relative reasoning is supported for the refinement of predictions and to allow its extensions in terms of previo…

0301 basic medicineDatabasecomputer.file_formatBiologyPrediction systemcomputer.software_genreBioinformatics03 medical and health sciences030104 developmental biologyWorkflowResource (project management)BiotransformationGeneticsRDFcomputerNucleic Acids Research
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A framework for data-driven adaptive GUI generation based on DICOM

2018

Computer applications for diagnostic medical imaging provide generally a wide range of tools to support physicians in their daily diagnosis activities. Unfortunately, some functionalities are specialized for specific diseases or imaging modalities, while other ones are useless for the images under investigation. Nevertheless, the corresponding Graphical User Interface (GUI) widgets are still present on the screen reducing the image visualization area. As a consequence, the physician may be affected by cognitive overload and visual stress causing a degradation of performances, mainly due to unuseful widgets. In clinical environments, a GUI must represent a sequence of steps for image investi…

0301 basic medicineDiagnostic ImagingAutomatedComputer scienceData-driven GUI generation; DICOM; Faceted classification; Graphical user interfaces; Medical diagnostic software; Algorithms; Brain; Cognition; Computers; Decision Support Systems Clinical; Diagnostic Imaging; Feasibility Studies; Humans; Magnetic Resonance Imaging; Medical Informatics; Pattern Recognition Automated; Software; Computer Graphics; Radiology Information Systems; User-Computer InterfaceGraphical user interfacesDecision Support SystemsHealth InformaticsPattern Recognitioncomputer.software_genrePattern Recognition Automated030218 nuclear medicine & medical imaging03 medical and health sciencesDICOMClinicalUser-Computer Interface0302 clinical medicineSoftwareCognitionHuman–computer interactionComputer GraphicsHumansDICOMGraphical user interfaceSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniFaceted classificationbusiness.industryComputersData-driven GUI generationBrainComputer Science Applications1707 Computer Vision and Pattern RecognitionMedical diagnostic softwareDecision Support Systems ClinicalMagnetic Resonance ImagingComputer Science ApplicationsVisualizationSoftware frameworkGraphical user interface030104 developmental biologyWorkflowRadiology Information SystemsInformation modelSoftware designFeasibility StudiesbusinesscomputerAlgorithmsMedical InformaticsSoftware
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