Search results for "single-cell"

showing 4 items of 44 documents

Prediction model for aneuploidy in early human embryo development revealed by single-cell analysis.

2014

Aneuploidies are prevalent in the human embryo and impair proper development, leading to cell cycle arrest. Recent advances in imaging and molecular and genetic analyses are postulated as promising strategies to unveil the mechanisms involved in aneuploidy generation. Here we combine time-lapse, complete chromosomal assessment and single-cell RT–qPCR to simultaneously obtain information from all cells that compose a human embryo until the approximately eight-cell stage (n=85). Our data indicate that the chromosomal status of aneuploid embryos (n=26), including those that are mosaic (n=3), correlates with significant differences in the duration of the first mitotic phase when compared with e…

animal structuresCellular differentiationGeneral Physics and AstronomyAneuploidyBiologyModels BiologicalGeneral Biochemistry Genetics and Molecular BiologyArticleTranscriptomeSingle-cell analysismedicineHumansGenetic TestingMitosisCell ProliferationGeneticsMultidisciplinaryGene Expression ProfilingGene Expression Regulation DevelopmentalEmbryoCell DifferentiationGeneral Chemistrymedicine.diseaseAneuploidyGene expression profilingembryonic structuresPloidyNature communications
researchProduct

Labeling of Single Cells in the Central Nervous System of <em>Drosophila melanogaster</em>

2013

In this article we describe how to individually label neurons in the embryonic CNS of Drosophila melanogaster by juxtacellular injection of the lipophilic fluorescent membrane marker DiI. This method allows the visualization of neuronal cell morphology in great detail. It is possible to label any cell in the CNS: cell bodies of target neurons are visualized under DIC optics or by expression of a fluorescent genetic marker such as GFP. After labeling, the DiI can be transformed into a permanent brown stain by photoconversion to allow visualization of cell morphology with transmitted light and DIC optics. Alternatively, the DiI-labeled cells can be observed directly with confocal microscopy, …

biologyGeneral Immunology and MicrobiologyGeneral Chemical EngineeringGeneral NeuroscienceCellbiology.organism_classificationCell morphologyEmbryonic stem cellMolecular biologyeye diseasesGeneral Biochemistry Genetics and Molecular BiologyCell biologyGreen fluorescent proteinlaw.inventionmedicine.anatomical_structureSingle-cell analysisConfocal microscopylawmedicinesense organsDrosophila melanogasterDevelopmental biologyJournal of Visualized Experiments
researchProduct

Meeting the Challenges of High-Dimensional Single-Cell Data Analysis in Immunology

2019

Recent advances in cytometry have radically altered the fate of single-cell proteomics by allowing a more accurate understanding of complex biological systems. Mass cytometry (CyTOF) provides simultaneous single-cell measurements that are crucial to understand cellular heterogeneity and identify novel cellular subsets. High-dimensional CyTOF data were traditionally analyzed by gating on bivariate dot plots, which are not only laborious given the quadratic increase of complexity with dimension but are also biased through manual gating. This review aims to discuss the impact of new analysis techniques for in-depths insights into the dynamics of immune regulation obtained from static snapshot …

lcsh:Immunologic diseases. Allergysingle-cell genomicssingle-cell profilinghigh-dimensional data analysisCyTOFtrajectory inferencelcsh:RC581-607visualizationFrontiers in Immunology
researchProduct

Single-cell analysis of population context advances RNAi screening at multiple levels

2012

Isogenic cells in culture show strong variability, which arises from dynamic adaptations to the microenvironment of individual cells. Here we study the influence of the cell population context, which determines a single cell's microenvironment, in image‐based RNAi screens. We developed a comprehensive computational approach that employs Bayesian and multivariate methods at the single‐cell level. We applied these methods to 45 RNA interference screens of various sizes, including 7 druggable genome and 2 genome‐wide screens, analysing 17 different mammalian virus infections and four related cell physiological processes. Analysing cell‐based screens at this depth reveals widespread RNAi‐induce…

toImage ProcessingDruggabilityGenomeImage analysis0302 clinical medicineComputer-AssistedSX00 SystemsX.ch2604 Applied MathematicsSingle-cell analysisRNA interferenceModels2400 General Immunology and MicrobiologyImage Processing Computer-AssistedViralRNA Small Interfering0303 health scienceseducation.field_of_studyApplied MathematicsSystems BiologyGenomics10124 Institute of Molecular Life SciencesCell biologycell variabilityComputational Theory and MathematicsCellular MicroenvironmentVirus DiseasesVirusesRNA ViralRNA InterferenceSingle-Cell AnalysisGeneral Agricultural and Biological SciencesInformation SystemsSystems biologyVirus infectionPopulationContext (language use)Genomics1100 General Agricultural and Biological SciencesBiologySmall InterferingModels BiologicalGeneral Biochemistry Genetics and Molecular BiologySX08 LipidX03 medical and health sciencesViral ProteinsCell-to-cell variability; Image analysis; Population context; RNAi; Virus infection1300 General Biochemistry Genetics and Molecular BiologyHumansComputer Simulationeducation030304 developmental biologyGeneral Immunology and MicrobiologyCell-to-cell variabilityReproducibility of ResultsBayes TheoremcellBiologicalPopulation contextRNAi570 Life sciences; biologyRNA030217 neurology & neurosurgeryHeLa CellsMolecular Systems Biology
researchProduct