0000000000339128

AUTHOR

Gregory P. Mcnerney

showing 2 related works from this author

Permeability changes of integrin-containing multivesicular structures triggered by picornavirus entry.

2014

Cellular uptake of clustered α2β1-integrin induces the formation of membrane compartments that subsequently mature into a multivesicular body (MVB). Enhanced internalization mediated by clustered integrins was observed upon infection by the picornavirus echovirus 1 (EVI). We elucidated the structural features of virus-induced MVBs (vMVBs) in comparison to antibody-induced control MVBs (mock infection) by means of high-pressure cryo fixation of cells followed by immuno electron tomography during early entry of the virus. Three-dimensional tomograms revealed a marked increase in the size and complexity of these vMVBs and the intraluminal vesicles (ILVs) at 2 and 3.5 hours post infection (p.i.…

CytoplasmElectron Microscope TomographyEchovirusPicornaviruslcsh:MedicinePicornaviridaemedicine.disease_causeBiochemistryCell membrane2.1 Biological and endogenous factors2.2 Factors relating to the physical environmentAetiologylcsh:ScienceInternalizationmedia_common0303 health sciencesMicroscopyMicroscopy ConfocalMultidisciplinaryTumorbiology030302 biochemistry & molecular biologyMultivesicular Bodies3. Good healthCell biologymedicine.anatomical_structureInfectious DiseasesConfocalIntegrin alpha2beta1InfectionResearch ArticleBiotechnologyEndosomeGeneral Science & Technologymedia_common.quotation_subjectBiophysicsEndosomesMicrobiologyPermeabilityCell Line03 medical and health sciencesCell Line TumormedicineHumansMultivesicular BodyMolecular Biology030304 developmental biologyPicornaviridae Infectionslcsh:RVirus Uncoatingta1183Cell Membraneta1182Biology and Life SciencesComputational BiologyCell Biologybiology.organism_classificationEmerging Infectious DiseasesCytoplasmlcsh:Q
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Application independent greedy particle tracking method for 3D fluorescence microscopy image series

2012

Single-particle tracking is computationally a challenging problem, and usually solved with local methods. Local methods suffer from defects in the image data or in the detection of particles, such as temporal disappearing of particles. A particle tracking method has to provide a solution also to real disappearing and appearing of particles as a result of merging and splitting. Here, we present an efficient, greedy algorithm as a solution to the particle tracking problem. This improved local method is application independent, as it has high configurability of the function used to solve particle correspondence. To demonstrate the accuracy of the method, we apply it to real microscopy image da…

Image Seriesta113business.industryta1182Function (mathematics)Tracking (particle physics)Image (mathematics)SoftwareTrajectoryParticleComputer visionArtificial intelligencebusinessGreedy algorithmMathematics
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